{ "schema_version": 1, "updated_at": "2026-09-15", "name": "Brali Problem Discovery Graph", "description": "Canonical problem-first discovery graph connecting natural-language intent to Gold-ready Brali protocols, explicit fit logic, evidence boundaries, and concise answer packets.", "policy": { "purpose": "Maintain a deliberately small canonical problem graph that maps real user intent to Gold-ready Brali protocols, explicit fit logic, evidence boundaries, and a machine-readable answer packet.", "quality_rule": "A problem page may recommend only protocols with a Gold-ready manual review and a reviewed or practical state in the trusted Protocol Feed. Every edge must explain when the protocol fits, why it fits, and one important caveat.", "growth_rule": "Do not create a page for every wording variation. Add a new collection only when Brali can support a materially different problem or decision path. Search Console evidence should guide expansion after the baseline is captured.", "identity_rule": "Aliases, human pages, Query Playground routing, JSON/API packets, and downstream agent reuse must resolve through this same canonical graph rather than maintaining separate recommendation lists." }, "count": 10, "collections": [ { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:start-important-work", "slug": "start-important-work", "acquisition_cluster_id": "procrastination-task-start", "title": "Start important work when you keep putting it off", "question": "How do I start important work when I keep procrastinating?", "aliases": [ "how to stop procrastinating and start", "cannot start an important task", "task initiation when work feels heavy" ], "summary": "Separate a vague task, start-friction, and attention-switching problem before choosing a protocol.", "canonical_url": "https://brali-lifeos.github.io/problems/start-important-work/", "json_url": "https://brali-lifeos.github.io/problems/start-important-work/index.json", "query_url": "/for-ai/query/?q=I%20keep%20procrastinating%20and%20cannot%20get%20started%20on%20an%20important%20task", "related_url": "/topics/focus/", "topics": [ { "id": "task-initiation", "title": "Task Initiation", "canonical_id": "brali:topic:task-initiation" }, { "id": "attention-focus", "title": "Attention & Focus", "canonical_id": "brali:topic:attention-focus" } ], "related_topics": [ { "id": "planning-prioritization", "title": "Planning & Prioritization", "canonical_id": "brali:topic:planning-prioritization" }, { "id": "goals", "title": "Goals", "canonical_id": "brali:topic:goals" } ], "decision_path": [ { "if": "The task is still vague", "try": "Define one visible next action before adding timers, blockers, or motivation tricks." }, { "if": "The next action is clear but starting still feels heavy", "try": "Shrink the commitment to a deliberately small first block. The goal is to cross the start line, not finish the whole project." }, { "if": "You start but quickly switch away", "try": "Protect one short focus block and remove one predictable interruption instead of redesigning your entire productivity system." } ], "stop_rule": "If progress depends on missing information, approval, access, or another person, treat that dependency as the next action rather than diagnosing yourself with a motivation problem.", "protocols": [ { "canonical_id": "brali:protocol:woop-goal-planner", "slug": "woop-goal-planner", "url": "https://brali-lifeos.github.io/life-os/woop-goal-planner/", "title": "Use WOOP to Turn a Wish Into an If-Then Plan", "description": "Use a Wish, desired Outcome, likely internal Obstacle, and a concrete if-then Plan to make one meaningful goal easier to act on. Treat the method as a self-regulation tool, not a guarantee of goal achievement.", "action": "Choose one meaningful and reasonably feasible wish. Describe the outcome you want, identify an internal obstacle that could derail you, then write: If I notice this obstacle, then I will take this specific action. Try the plan in real life and revise it if the cue or response is not useful.", "check_in": "Did the obstacle actually appear, did my if-then response help me act, and what should I keep or change next time?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://doi.org/10.3389/fpsyg.2021.565202", "reviewed_at": "2026-08-18" }, "topic_ids": [ "goals" ], "is_flagship_100": true, "fit": "best-fit", "when": "The goal matters, but a recurring internal obstacle keeps blocking the first useful action.", "why": "WOOP makes the obstacle and a cue-triggered response explicit instead of relying on motivation alone.", "caveat": "Use it for an internal obstacle, not to relabel missing resources, permission, money, safety, or another external constraint as a self-regulation failure.", "gold_review": { "reviewed_at": "2026-09-09", "review_status": "gold-ready", "first_action": "Write one meaningful and reasonably feasible wish, one concrete outcome, one internal obstacle that could derail you, and one sentence in the form: If I notice this obstacle, then I will take this specific action.", "observable_signal": "Whether the chosen obstacle actually appeared, whether the user noticed it, whether the if-then response was executed, and what changed in the next action. Goal completion itself is a separate longer-horizon outcome and is not guaranteed by the protocol.", "eligibility": [ "The wish is meaningful, reasonably feasible, and low-risk enough to test through ordinary self-directed action.", "The user can identify at least one internal obstacle, such as a thought, feeling, habit, or impulse, that is relevant to the goal and partly within their influence.", "The user can define a specific action to try when that obstacle or cue appears and can later inspect what happened." ], "when_not_to_use": [ "Do not use WOOP to reframe an external constraint such as missing permission, money, staffing, safety, discrimination, or another structural blocker as a personal self-regulation failure.", "Do not use the protocol as a guarantee that a goal will be achieved or as a substitute for professional assessment in medical, legal, safety-critical, or other consequential decisions.", "Do not force a wish that is not reasonably feasible or personally meaningful merely to complete the template." ], "evidence_boundary": { "status": "reviewed", "statement": "A 2021 meta-analysis of mental contrasting with implementation intentions reported a small-to-medium average effect on goal attainment across heterogeneous field interventions, with mixed publication-bias diagnostics and a smaller trim-and-fill estimate. A 2026 randomized undergraduate procrastination study provides narrow corroboration for task aversiveness and willingness to act. Brali therefore treats WOOP as a bounded self-regulation option for feasible goals, not as a universal or guaranteed goal-achievement method.", "source_decision_ids": [ "woop-mcii-goal-attainment-meta-analysis-2021", "woop-mcii-academic-procrastination-rct-2026" ] } } }, { "canonical_id": "brali:protocol:25-minute-pomodoro-focus-sprints", "slug": "25-minute-pomodoro-focus-sprints", "url": "https://brali-lifeos.github.io/life-os/25-minute-pomodoro-focus-sprints/", "title": "Work in Focused 25-Minute Intervals (pomodoros) Followed by a 5-Minute Break", "description": "Work in focused 25-minute intervals (Pomodoros) followed by a 5-minute break. After four Pomodoros, take a longer break.", "action": "Pick one concrete outcome, work on it for one 25-minute focus block, take a short break, and then decide whether another block is useful. Treat 25 minutes as a starting setting, not a scientifically optimal duration.", "check_in": "Did I work on the intended outcome? What interrupted me, and should the next focus block be shorter, the same, or longer?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "goals" ], "is_flagship_100": true, "fit": "alternative", "when": "The next action is already clear, but the work has no boundary and attention keeps drifting.", "why": "A short adjustable focus boundary can reduce ambiguity around one concrete outcome.", "caveat": "Twenty-five minutes is a familiar default, not a scientifically optimal dose, and the method is a poor fit for work that requires continuous responsiveness.", "gold_review": { "reviewed_at": "2026-09-05", "review_status": "gold-ready", "first_action": "Write one observable outcome for the next block, then start with a twenty-five-minute focus boundary only as a familiar default.", "observable_signal": "Whether the intended outcome moved forward, which interruptions occurred, and whether the chosen focus boundary made returning to or continuing the task easier.", "eligibility": [ "The user has one concrete low-risk work or study outcome that can be advanced during a bounded focus block.", "A timer or deliberate stopping point would reduce ambiguity without creating a safety or operational problem.", "The user is willing to adjust the block length from experience rather than treating twenty-five minutes as a universal rule." ], "when_not_to_use": [ "Do not use a focus timer where continuous monitoring, immediate responsiveness, driving, caregiving, safety-critical operations, or another duty makes deliberate disengagement inappropriate.", "Do not interpret twenty-five minutes of work or a five-minute break as a scientifically optimal dose; the reviewed evidence does not test the full Pomodoro sequence.", "Do not use block completion as a productivity score when the chosen task requires collaboration, waiting, exploration, or another outcome that is not well represented by uninterrupted solo work." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical focus-boundary protocol, not an evidence-backed twenty-five-minute dose. A systematic review of micro-breaks supports only a narrow recovery boundary: short breaks were associated on average with small improvements in vigor and fatigue, while overall performance benefit was not reliable and the full Pomodoro sequence was not tested.", "source_decision_ids": [ "microbreak-wellbeing-performance-boundary-2022" ] } } }, { "canonical_id": "brali:protocol:30-minute-deadline-sprints", "slug": "30-minute-deadline-sprints", "url": "https://brali-lifeos.github.io/life-os/30-minute-deadline-sprints/", "title": "Use a Short Timebox for a Rough First Pass", "description": "Give a low-risk task a shorter-than-usual timebox, define what a useful first pass must contain, and reduce scope instead of pretending you can preserve everything by working faster.", "action": "Pick a low-risk task where an imperfect first pass is useful. Set a short timebox, define the minimum useful output, and decide what you will leave for later. Stop or reassess when the timebox ends.", "check_in": "Did the timebox help me make useful scope decisions, and what should be improved before this work is actually finished or shared?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "task-initiation", "planning-prioritization" ], "is_flagship_100": true, "fit": "alternative", "when": "Perfectionism or optional polish is preventing a low-risk first pass from existing at all.", "why": "A bounded rough pass forces a distinction between minimum useful output and optional refinement.", "caveat": "Do not trade essential accuracy, safety, approval, or verification for speed; the exact duration is not evidence-backed.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Define the minimum useful first-pass output, write down what can wait until revision, and choose a shorter-than-usual work boundary that still leaves essential checks intact.", "observable_signal": "Whether a concrete first-pass artifact exists, optional scope was explicitly deferred, essential checks remained visible, and the user can state what still needs revision before use.", "eligibility": [ "The task is low-risk and reversible enough that an imperfect first pass has real value.", "The user can define a minimum useful output and separate required content from optional polish.", "Any factual, safety, legal, financial, medical, security, or other essential verification can still happen before the work is shared or acted on." ], "when_not_to_use": [ "Do not manufacture time pressure for safety-critical, legal, medical, financial, security, compliance, or other work where rushing can create material harm.", "Do not use the timebox to hide required checks, approvals, dependencies, or context that must be present before the output is usable.", "Do not treat thirty minutes or any other exact duration as a scientifically established productivity optimum." ], "evidence_boundary": { "status": "practical", "statement": "This is a low-risk editorial timeboxing template. Brali does not attach reviewed evidence establishing thirty minutes, a shorter deadline, or this exact sequence as an optimal productivity or creativity intervention.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:start-important-work", "problem": "How do I start important work when I keep procrastinating?", "canonical_url": "https://brali-lifeos.github.io/problems/start-important-work/", "best_fit": { "canonical_id": "brali:protocol:woop-goal-planner", "slug": "woop-goal-planner", "title": "Use WOOP to Turn a Wish Into an If-Then Plan", "when": "The goal matters, but a recurring internal obstacle keeps blocking the first useful action.", "why": "WOOP makes the obstacle and a cue-triggered response explicit instead of relying on motivation alone.", "caveat": "Use it for an internal obstacle, not to relabel missing resources, permission, money, safety, or another external constraint as a self-regulation failure.", "first_action": "Write one meaningful and reasonably feasible wish, one concrete outcome, one internal obstacle that could derail you, and one sentence in the form: If I notice this obstacle, then I will take this specific action.", "evidence_state": "reviewed" }, "alternatives": [ { "canonical_id": "brali:protocol:25-minute-pomodoro-focus-sprints", "slug": "25-minute-pomodoro-focus-sprints", "title": "Work in Focused 25-Minute Intervals (pomodoros) Followed by a 5-Minute Break", "when": "The next action is already clear, but the work has no boundary and attention keeps drifting.", "why": "A short adjustable focus boundary can reduce ambiguity around one concrete outcome.", "caveat": "Twenty-five minutes is a familiar default, not a scientifically optimal dose, and the method is a poor fit for work that requires continuous responsiveness.", "first_action": "Write one observable outcome for the next block, then start with a twenty-five-minute focus boundary only as a familiar default.", "evidence_state": "practical" }, { "canonical_id": "brali:protocol:30-minute-deadline-sprints", "slug": "30-minute-deadline-sprints", "title": "Use a Short Timebox for a Rough First Pass", "when": "Perfectionism or optional polish is preventing a low-risk first pass from existing at all.", "why": "A bounded rough pass forces a distinction between minimum useful output and optional refinement.", "caveat": "Do not trade essential accuracy, safety, approval, or verification for speed; the exact duration is not evidence-backed.", "first_action": "Define the minimum useful first-pass output, write down what can wait until revision, and choose a shorter-than-usual work boundary that still leaves essential checks intact.", "evidence_state": "practical" } ], "stop_rule": "If progress depends on missing information, approval, access, or another person, treat that dependency as the next action rather than diagnosing yourself with a motivation problem." }, "evidence_decisions": [ { "id": "deadline-evidence-reversal-2026", "decision": "challenge-existing", "reviewed_at": "2026-09-11", "source_title": "Replication of Procrastination, Deadlines, and Performance: Self-Control by Precommitment", "source_url": "https://doi.org/10.1177/09567976261460772", "supported_claim": "The 2026 replication did not reproduce the classic deadline effect, while the publisher now marks the 2002 source retracted.", "unsupported_or_overstated_claims": [ "Artificial deadlines are a settled evidence-based productivity intervention.", "Retraction proves that deadlines never matter in any context." ], "limitations": [ "The 2026 paper is a replication of a specific deadline experiment and does not test every form of deadline, planning, precommitment, or time-management intervention.", "Failure to reproduce the classic effect lowers confidence in that specific evidence claim; it does not establish that deadlines have no effect in every task, population, incentive structure, or real-world setting.", "The publisher's retraction of the 2002 paper means Brali should not use that paper as positive evidence, but retraction alone is not evidence for the opposite universal claim.", "This decision is a provenance and evidence-boundary correction, not a complete systematic review of the broader deadline literature." ] }, { "id": "implementation-intentions-meta-boundary-2024", "decision": "support-existing", "reviewed_at": "2026-09-11", "source_title": "The when and how of planning: Meta-analysis of implementation intentions in 642 tests", "source_url": "https://doi.org/10.1080/10463283.2024.2334563", "supported_claim": "Cue-response implementation intentions are a well-supported self-regulation mechanism; contingent if-then formats performed better on average in the reviewed literature.", "unsupported_or_overstated_claims": [ "Every if-then sentence guarantees behavior change.", "Aggregate effect sizes apply to every productivity task." ], "limitations": [ "The meta-analysis aggregates many populations, goals, outcomes and implementation-intention variants, so its average effect is not a guaranteed effect size for one productivity task or one person.", "Reported moderators such as motivation, contingent if-then form and rehearsal describe variation across the evidence base; they do not establish one universally optimal Brali recipe.", "The evidence supports the implementation-intention mechanism broadly, not fixed numbers of plans, fixed rehearsal counts, fixed time windows, or productivity estimates.", "The reviewed synthesis does not validate Brali's exact wording, interface or reminder implementation as a separately tested intervention." ] }, { "id": "microbreak-wellbeing-performance-boundary-2022", "decision": "support-existing", "reviewed_at": "2026-08-22", "source_title": "Give me a break! A systematic review and meta-analysis on the efficacy of micro-breaks for increasing well-being and performance", "source_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC9432722/", "supported_claim": "Across the included studies, micro-breaks of up to 10 minutes were associated on average with small improvements in vigor and reduced fatigue. The pooled overall performance effect was not statistically significant, and performance effects varied by task demands and break duration. This supports retaining a short, adjustable break as a bounded recovery practice without presenting it as a reliable performance booster.", "unsupported_or_overstated_claims": [ "A 5-minute break is an evidence-based optimal duration.", "Twenty-five minutes of work followed by five minutes of rest is superior to other focus schedules.", "Pomodoro reliably improves productivity or task performance.", "Four 25-minute blocks followed by a longer break is validated by this meta-analysis.", "Every short break reduces fatigue or increases vigor for every individual.", "Scrolling, walking, standing, water, stretching or any other specific break activity is independently proven superior by this pooled result.", "The review establishes a universal break schedule for cognitively demanding work.", "The pooled effects justify treatment, burnout-prevention or clinical claims." ], "limitations": [ "The review combined heterogeneous break activities, durations, tasks and settings rather than testing a single Pomodoro-style intervention.", "Only four of twenty-two included study samples were rated low risk of bias across the assessed domains.", "The overall pooled performance effect was not statistically significant and performance heterogeneity was substantial.", "Performance effects differed by task type; the authors reported significant effects only for less cognitively demanding tasks in subgroup analyses.", "Longer break duration was associated with better performance in meta-regression, which argues against treating one short duration as universally optimal.", "Most outcomes were immediate post-break measures; the review does not establish long-term productivity or health effects.", "The source defines micro-breaks as no more than ten minutes and does not validate the work interval preceding the break." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:resume-after-interruption", "slug": "resume-after-interruption", "acquisition_cluster_id": "focus-after-interruption", "title": "Resume useful work after interruptions derail the day", "question": "How do I recover after interruptions without losing the rest of the day?", "aliases": [ "how to refocus after an interruption", "recover concentration after notifications", "get back to work after task switching" ], "summary": "Use a small re-entry sequence: recover context, choose the next action, then protect a short restart block.", "canonical_url": "https://brali-lifeos.github.io/problems/resume-after-interruption/", "json_url": "https://brali-lifeos.github.io/problems/resume-after-interruption/index.json", "query_url": "/for-ai/query/?q=I%20was%20interrupted%20and%20now%20I%20cannot%20get%20back%20into%20useful%20work", "related_url": "/topics/focus/", "topics": [ { "id": "attention-focus", "title": "Attention & Focus", "canonical_id": "brali:topic:attention-focus" }, { "id": "planning-prioritization", "title": "Planning & Prioritization", "canonical_id": "brali:topic:planning-prioritization" } ], "related_topics": [ { "id": "information-management", "title": "Information Management", "canonical_id": "brali:topic:information-management" }, { "id": "work-systems", "title": "Work Systems", "canonical_id": "brali:topic:work-systems" } ], "decision_path": [ { "if": "You no longer remember where you were", "try": "Reconstruct context first: what was done, what remains, and what the next concrete action was." }, { "if": "Several tasks now compete for attention", "try": "Re-prioritize once. Pick the one task that deserves the next block rather than repeatedly choosing again every few minutes." }, { "if": "You know what to do but feel scattered", "try": "Use a short restart block with a visible finish condition. A clean restart is more useful than trying to recover the imagined perfect day." } ], "stop_rule": "If the interruption created a genuinely new urgent obligation, re-plan the remaining day explicitly. Do not force the old plan to survive changed constraints.", "protocols": [ { "canonical_id": "brali:protocol:25-minute-pomodoro-focus-sprints", "slug": "25-minute-pomodoro-focus-sprints", "url": "https://brali-lifeos.github.io/life-os/25-minute-pomodoro-focus-sprints/", "title": "Work in Focused 25-Minute Intervals (pomodoros) Followed by a 5-Minute Break", "description": "Work in focused 25-minute intervals (Pomodoros) followed by a 5-minute break. After four Pomodoros, take a longer break.", "action": "Pick one concrete outcome, work on it for one 25-minute focus block, take a short break, and then decide whether another block is useful. Treat 25 minutes as a starting setting, not a scientifically optimal duration.", "check_in": "Did I work on the intended outcome? What interrupted me, and should the next focus block be shorter, the same, or longer?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "goals" ], "is_flagship_100": true, "fit": "best-fit", "when": "Context is recovered and you need one protected restart boundary for a concrete task.", "why": "The protocol turns re-entry into one bounded outcome instead of asking you to recover an entire lost day at once.", "caveat": "Adjust the block length to the work; do not use protected focus where monitoring or immediate response is required.", "gold_review": { "reviewed_at": "2026-09-05", "review_status": "gold-ready", "first_action": "Write one observable outcome for the next block, then start with a twenty-five-minute focus boundary only as a familiar default.", "observable_signal": "Whether the intended outcome moved forward, which interruptions occurred, and whether the chosen focus boundary made returning to or continuing the task easier.", "eligibility": [ "The user has one concrete low-risk work or study outcome that can be advanced during a bounded focus block.", "A timer or deliberate stopping point would reduce ambiguity without creating a safety or operational problem.", "The user is willing to adjust the block length from experience rather than treating twenty-five minutes as a universal rule." ], "when_not_to_use": [ "Do not use a focus timer where continuous monitoring, immediate responsiveness, driving, caregiving, safety-critical operations, or another duty makes deliberate disengagement inappropriate.", "Do not interpret twenty-five minutes of work or a five-minute break as a scientifically optimal dose; the reviewed evidence does not test the full Pomodoro sequence.", "Do not use block completion as a productivity score when the chosen task requires collaboration, waiting, exploration, or another outcome that is not well represented by uninterrupted solo work." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical focus-boundary protocol, not an evidence-backed twenty-five-minute dose. A systematic review of micro-breaks supports only a narrow recovery boundary: short breaks were associated on average with small improvements in vigor and fatigue, while overall performance benefit was not reliable and the full Pomodoro sequence was not tested.", "source_decision_ids": [ "microbreak-wellbeing-performance-boundary-2022" ] } } }, { "canonical_id": "brali:protocol:90-30-focus-rest-schedule", "slug": "90-30-focus-rest-schedule", "url": "https://brali-lifeos.github.io/life-os/90-30-focus-rest-schedule/", "title": "Alternate Focused Work With Real Breaks", "description": "Use a protected focus block followed by a real break, then adjust the length to your task, energy, and schedule instead of treating 90/30 as a biological rule.", "action": "Choose one important task, protect a focus block from avoidable interruptions, then step away for a real break. Adjust both periods to your workload and energy rather than forcing a fixed 90/30 schedule.", "check_in": "Was the focus block long enough to make progress, did the break actually feel like a break, and what duration would fit the next cycle better?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "attention-focus", "recovery-energy" ], "is_flagship_100": true, "fit": "alternative", "when": "You have recovered the task and need a longer protected block followed by a genuine break.", "why": "It provides an adjustable focus-and-recovery structure and an explicit resume point.", "caveat": "Ninety/thirty is only a possible starting pattern, not a biological law or universal productivity schedule.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Choose one important outcome for the next work block, pick a realistic focus duration for today's schedule, and decide what a real break will look like when the block ends.", "observable_signal": "Whether the intended outcome moved, how often avoidable switching occurred, whether the break felt like a genuine change of pace, and whether returning to the next block was easier or harder.", "eligibility": [ "The user is doing low-risk knowledge or creative work where a protected block can be chosen without neglecting a monitoring or response duty.", "The task benefits from fewer avoidable switches and has a concrete outcome that can be advanced inside one block.", "The user can take a genuine break afterward and is willing to adjust both work and break lengths from experience." ], "when_not_to_use": [ "Do not use protected focus blocks when continuous monitoring, immediate responsiveness, driving, caregiving, safety-critical operations, or another duty makes disengagement inappropriate.", "Do not present 90/30, ultradian-cycle language, hydration rules, caffeine timing, or any other fixed routine as a scientifically validated universal productivity dose.", "Do not use completed blocks as a proxy for value when the work depends mainly on collaboration, waiting, exploration, or external events." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical focus-and-recovery structure. Brali does not currently claim that 90/30 corresponds to a universal ultradian productivity cycle, that either duration is optimal, or that the protocol produces a predictable performance or wellbeing gain.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:3-3-3-workday-planner", "slug": "3-3-3-workday-planner", "url": "https://brali-lifeos.github.io/life-os/3-3-3-workday-planner/", "title": "Plan Your Workday in Three Simple Blocks", "description": "Split the day into a few broad work blocks and choose a small set of clear outcomes for each. Use three blocks and up to three tasks per block as a template, not a rule.", "action": "Divide the workday into up to three broad blocks. Give each block one to three clear outcomes that fit the time you actually have. Replan when meetings, urgent work, or delays change the day.", "check_in": "Did the blocks help me choose what mattered, and was any block overloaded, too vague, or too rigid?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "work-systems" ], "is_flagship_100": true, "fit": "alternative", "when": "The interruption materially changed priorities and the rest of the day needs a lightweight re-plan.", "why": "It keeps fixed constraints visible and reorganizes the remaining day around a few observable outcomes.", "caveat": "Do not preserve an obsolete plan when new urgent work or dependencies have genuinely changed the day.", "gold_review": { "reviewed_at": "2026-09-09", "review_status": "gold-ready", "first_action": "Look at today's fixed constraints, then write up to three broad work blocks and give each block one to three observable outcomes that fit the time you actually control.", "observable_signal": "Whether the user could identify the current important outcome, whether fixed constraints remained visible, and whether the remaining plan could be updated without carrying obsolete blocks forward as guilt or hidden backlog.", "eligibility": [ "The user is planning an ordinary low-risk workday and can choose or renegotiate at least some priorities.", "Grouping work into a few broad blocks would reduce decision friction without hiding fixed meetings, dependencies, service levels, or deadlines.", "The user is willing to replan when reality changes instead of treating the initial blocks as commitments that must be completed exactly." ], "when_not_to_use": [ "Do not use the template as the controlling workflow for emergency response, incident management, clinical care, driving, safety-critical operations, or another setting where priorities must update continuously from external events.", "Do not compress mandatory sequences, deadlines, handoffs, or dependencies into three blocks when doing so would hide operational constraints.", "Do not interpret three blocks or three outcomes as an evidence-backed optimal dose for productivity." ], "evidence_boundary": { "status": "practical", "statement": "The 3-3-3 structure is a low-risk editorial planning template. Brali has no reviewed source establishing three blocks, three outcomes, or any exact 3×3 schedule as a scientifically optimal productivity method; the value claim is limited to whether the user finds the structure useful in the current workday.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:resume-after-interruption", "problem": "How do I recover after interruptions without losing the rest of the day?", "canonical_url": "https://brali-lifeos.github.io/problems/resume-after-interruption/", "best_fit": { "canonical_id": "brali:protocol:25-minute-pomodoro-focus-sprints", "slug": "25-minute-pomodoro-focus-sprints", "title": "Work in Focused 25-Minute Intervals (pomodoros) Followed by a 5-Minute Break", "when": "Context is recovered and you need one protected restart boundary for a concrete task.", "why": "The protocol turns re-entry into one bounded outcome instead of asking you to recover an entire lost day at once.", "caveat": "Adjust the block length to the work; do not use protected focus where monitoring or immediate response is required.", "first_action": "Write one observable outcome for the next block, then start with a twenty-five-minute focus boundary only as a familiar default.", "evidence_state": "practical" }, "alternatives": [ { "canonical_id": "brali:protocol:90-30-focus-rest-schedule", "slug": "90-30-focus-rest-schedule", "title": "Alternate Focused Work With Real Breaks", "when": "You have recovered the task and need a longer protected block followed by a genuine break.", "why": "It provides an adjustable focus-and-recovery structure and an explicit resume point.", "caveat": "Ninety/thirty is only a possible starting pattern, not a biological law or universal productivity schedule.", "first_action": "Choose one important outcome for the next work block, pick a realistic focus duration for today's schedule, and decide what a real break will look like when the block ends.", "evidence_state": "practical" }, { "canonical_id": "brali:protocol:3-3-3-workday-planner", "slug": "3-3-3-workday-planner", "title": "Plan Your Workday in Three Simple Blocks", "when": "The interruption materially changed priorities and the rest of the day needs a lightweight re-plan.", "why": "It keeps fixed constraints visible and reorganizes the remaining day around a few observable outcomes.", "caveat": "Do not preserve an obsolete plan when new urgent work or dependencies have genuinely changed the day.", "first_action": "Look at today's fixed constraints, then write up to three broad work blocks and give each block one to three observable outcomes that fit the time you actually control.", "evidence_state": "practical" } ], "stop_rule": "If the interruption created a genuinely new urgent obligation, re-plan the remaining day explicitly. Do not force the old plan to survive changed constraints." }, "evidence_decisions": [ { "id": "ai-review-correction-friction-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Bias in the Loop: How Humans Evaluate AI-Generated Suggestions", "source_url": "https://hdsr.mitpress.mit.edu/pub/nrcn4h7d/release/2", "supported_claim": "When humans review AI-generated suggestions, the review interface itself can bias behavior. In this experiment, adding repair work to the act of rejecting an AI suggestion reduced correction activity and increased undercorrection. Brali can therefore justify a bounded workflow rule: make it cheap to flag or reject an AI output, and separate validation from repair when the repair burden would otherwise make acceptance the path of least resistance.", "unsupported_or_overstated_claims": [ "Making correction easier will always increase overall accuracy.", "People who distrust AI are universally better reviewers.", "Performance bonuses cannot improve AI review in other settings.", "The same effect size applies to expert, medical, legal, financial, or safety-critical review.", "A human-in-the-loop label by itself guarantees reliable oversight.", "AI suggestions should be hidden from reviewers." ], "limitations": [ "The experiment used crowdworkers rather than domain experts.", "The task was limited to ten greenhouse-gas reporting tables and one pre-annotation workflow.", "Several difficult items required domain knowledge that many annotators lacked.", "The randomized correction-burden manipulation changed correction behavior, but the regression analysis did not show a clear overall accuracy loss because overcorrections also decreased.", "AI attitudes predicted behavior observationally rather than through randomized manipulation.", "The study did not include a no-AI baseline and could not analyze item-order effects." ] }, { "id": "ai-structured-intake-human-judgment-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews", "source_url": "https://arxiv.org/html/2607.28222", "supported_claim": "A defensible way to divide some repetitive high-volume workflows is to automate structured information collection while keeping consequential evaluation with a human. In this field experiment, that division improved several downstream hiring outcomes without a measured decline in worker productivity. Transcript evidence is consistent with greater standardization and comparability as a mechanism, but does not prove that mechanism independently. Brali should treat this as a task-allocation pattern to test, not as evidence that AI should make final hiring or other high-stakes decisions.", "unsupported_or_overstated_claims": [ "AI interviewers are generally better than human interviewers.", "AI should make final hiring decisions.", "The result generalizes to specialized, relationship-heavy, tacit-knowledge, executive, clinical, legal, or other high-stakes work.", "Automating information collection removes discrimination or guarantees fairness.", "The same voice-AI system will produce the same results in other firms, languages, cultures, or labor markets.", "Human oversight automatically prevents automation bias.", "The controlled-variance mechanism is causally proven by the experiment." ], "limitations": [ "The source is a working paper rather than a peer-reviewed journal article.", "The experiment was conducted with one recruitment-process outsourcing firm and entry-level customer-service hiring in the Philippines.", "Five percent of AI interviews ended because applicants were unwilling to continue with AI and seven percent experienced technical failure.", "The transcript-based mechanism analysis is associative even though interviewer assignment was randomized.", "The candidate-experience survey had a low response rate and may not represent all applicants.", "Applicants who were allowed to choose showed negative sorting into AI, limiting interpretation of the choice condition.", "Employment selection has legal, fairness, accessibility, and accountability requirements that this study does not resolve." ] }, { "id": "deadline-evidence-reversal-2026", "decision": "challenge-existing", "reviewed_at": "2026-09-11", "source_title": "Replication of Procrastination, Deadlines, and Performance: Self-Control by Precommitment", "source_url": "https://doi.org/10.1177/09567976261460772", "supported_claim": "The 2026 replication did not reproduce the classic deadline effect, while the publisher now marks the 2002 source retracted.", "unsupported_or_overstated_claims": [ "Artificial deadlines are a settled evidence-based productivity intervention.", "Retraction proves that deadlines never matter in any context." ], "limitations": [ "The 2026 paper is a replication of a specific deadline experiment and does not test every form of deadline, planning, precommitment, or time-management intervention.", "Failure to reproduce the classic effect lowers confidence in that specific evidence claim; it does not establish that deadlines have no effect in every task, population, incentive structure, or real-world setting.", "The publisher's retraction of the 2002 paper means Brali should not use that paper as positive evidence, but retraction alone is not evidence for the opposite universal claim.", "This decision is a provenance and evidence-boundary correction, not a complete systematic review of the broader deadline literature." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best.", "troubleshooter": { "schema_version": 1, "problem_slug": "resume-after-interruption", "canonical_url": "https://brali-lifeos.github.io/problems/resume-after-interruption/", "title": "Should you protect a focus block — or not?", "summary": "Two constraints decide whether Brali's current trusted focus-boundary protocol is a sensible trial after interruptions. This check does not diagnose why you were interrupted.", "abstention_message": "Brali does not currently have a trusted focus-block recommendation for these conditions. Use the re-entry decision path on this page, change the work conditions if you can, or inspect other trusted protocols instead of forcing a timer.", "trust_note": "A selected protocol is a transparent bounded trial under represented constraints, not a psychological fit score or a claim that the method will work.", "candidate_protocols": [ { "protocol_id": "brali:25-minute-pomodoro-focus-sprints", "slug": "25-minute-pomodoro-focus-sprints", "title": "Work in Focused 25-Minute Intervals (pomodoros) Followed by a 5-Minute Break", "canonical_url": "https://brali-lifeos.github.io/life-os/25-minute-pomodoro-focus-sprints/", "skill_page_url": "https://brali-lifeos.github.io/skill-packs/25-minute-pomodoro-focus-sprints/", "skill_markdown_url": "https://brali-lifeos.github.io/skill-packs/25-minute-pomodoro-focus-sprints/SKILL.md", "evidence_status": "practical", "gold_review_status": "gold-ready", "first_action": "Write one observable outcome for the next block, then start with a twenty-five-minute focus boundary only as a familiar default.", "review_horizon": { "value": "After each focus block", "rationale": "The protocol is a short execution experiment. The review point belongs at the end of the block because the useful signal is whether that boundary helped the intended task; no evidence supports waiting for a fixed number of Pomodoros before adjusting." }, "observable_signal": "Whether the intended outcome moved forward, which interruptions occurred, and whether the chosen focus boundary made returning to or continuing the task easier.", "stop_or_change_rule": "Change the block length, task scope, or environment when the timer repeatedly interrupts useful flow, fails to protect attention, or creates more management overhead than value. Stop using the protocol when the work needs responsiveness or another workflow fits the task better.", "fallback": "If twenty-five minutes feels too large, choose a smaller concrete outcome and a shorter block; if it repeatedly breaks useful deep work, use a longer boundary or a natural task milestone instead of serving the timer.", "evidence_boundary": { "status": "practical", "statement": "This is a practical focus-boundary protocol, not an evidence-backed twenty-five-minute dose. A systematic review of micro-breaks supports only a narrow recovery boundary: short breaks were associated on average with small improvements in vigor and fatigue, while overall performance benefit was not reliable and the full Pomodoro sequence was not tested.", "source_decision_ids": [ "microbreak-wellbeing-performance-boundary-2022" ] }, "limitations": [ "The micro-break literature is heterogeneous in tasks, populations, break activities, and durations and does not validate the full twenty-five-minute-work/five-minute-break sequence.", "The reviewed meta-analysis found no statistically significant pooled overall performance effect and rated only a minority of included samples low risk of bias.", "The protocol has no evidence-backed universal work-block duration, break duration, number of cycles, productivity gain, or ideal interruption policy.", "A timer can make some work easier to start and other work unnecessarily fragmented; individual task fit must be reviewed directly." ], "citation": { "canonical_protocol_url": "https://brali-lifeos.github.io/life-os/25-minute-pomodoro-focus-sprints/", "source_citations": [ "Albulescu P, Macsinga I, Rusu A, Sulea C, Bodnaru A, Tulbure BT. Give me a break! A systematic review and meta-analysis on the efficacy of micro-breaks for increasing well-being and performance. PLOS ONE. 2022;17(8):e0272460. https://doi.org/10.1371/journal.pone.0272460" ] }, "constraints": [ { "id": "immediate-responsiveness", "question": "For the next work block, can non-urgent interruptions wait until a sensible stopping point?", "required": true, "source_field": "when_not_to_use", "source_text": "Do not use a focus timer where continuous monitoring, immediate responsiveness, driving, caregiving, safety-critical operations, or another duty makes deliberate disengagement inappropriate.", "options": [ { "value": "can-delay", "label": "Yes — non-urgent interruptions can wait briefly.", "effect": "allow" }, { "value": "must-respond", "label": "No — I must stay immediately responsive.", "effect": "reject", "reason": "A deliberate focus boundary is a poor fit when the work requires immediate responsiveness." } ] }, { "id": "concrete-outcome", "question": "Can you name one concrete, low-risk outcome for the next block?", "required": true, "source_field": "eligibility", "source_text": "The user has one concrete low-risk work or study outcome that can be advanced during a bounded focus block.", "options": [ { "value": "yes", "label": "Yes — I know what should be different when the block ends.", "effect": "allow" }, { "value": "not-yet", "label": "Not yet — the task is still vague.", "effect": "reject", "reason": "This protocol needs one concrete outcome first. Define the next visible result before adding a timer." } ] } ] } ] } }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:learn-under-time-pressure", "slug": "learn-under-time-pressure", "acquisition_cluster_id": null, "title": "Learn something useful when study time is limited", "question": "How do I learn effectively when I do not have much time?", "aliases": [ "learn effectively with little time", "study when time is limited", "practice instead of cramming more material" ], "summary": "Prioritize retrieval, targeted practice, feedback, and application instead of trying to consume more material.", "canonical_url": "https://brali-lifeos.github.io/problems/learn-under-time-pressure/", "json_url": "https://brali-lifeos.github.io/problems/learn-under-time-pressure/index.json", "query_url": "/for-ai/query/?q=How%20can%20I%20learn%20something%20effectively%20when%20I%20have%20limited%20study%20time%3F", "related_url": "/topics/learning/", "topics": [ { "id": "skill-learning", "title": "Skill Learning", "canonical_id": "brali:topic:skill-learning" }, { "id": "memory", "title": "Memory", "canonical_id": "brali:topic:memory" } ], "related_topics": [ { "id": "metacognition", "title": "Metacognition", "canonical_id": "brali:topic:metacognition" }, { "id": "revision-feedback", "title": "Revision & Feedback", "canonical_id": "brali:topic:revision-feedback" } ], "decision_path": [ { "if": "You need to remember facts or concepts", "try": "Spend part of the session retrieving from memory rather than rereading the same material." }, { "if": "You need to perform a skill", "try": "Practice the actual operation and get feedback. Remembering an explanation is not the same as being able to apply it." }, { "if": "You are unsure what you know", "try": "Test yourself early enough to expose gaps, then direct the remaining time toward those gaps instead of reviewing everything equally." } ], "stop_rule": "Do not interpret one successful recall session as proof of durable mastery. Use delayed checks or real application when the stakes justify it.", "protocols": [ { "canonical_id": "brali:protocol:active-recall-test-yourself", "slug": "active-recall-test-yourself", "url": "https://brali-lifeos.github.io/life-os/active-recall-test-yourself/", "title": "Active Recall: Close the Notes and Make Memory Work", "description": "Before rereading, hide the source and try to produce the answer from memory. Then check it, fix the misses, and practice application separately if the real goal is solving, speaking, writing, or doing. Familiarity feels nice; retrieval tells you what is actually available without the page in front of you.", "action": "Choose a small set of material you want to retain. Hide the source and answer a question, explain the idea, or write what you remember. Check immediately enough to catch errors and repair them. Then, if success means solving, writing, speaking, calculating, or performing, practice that outcome too. Memory practice is useful; it is not a teleportation device to skill.", "check_in": "What could I retrieve without looking? What was missing or wrong? If the real goal is application, could I actually use the knowledge in a relevant task?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://doi.org/10.1007/s10648-021-09595-9", "reviewed_at": "2026-08-18" }, "topic_ids": [ "memory", "skill-learning" ], "is_flagship_100": true, "fit": "best-fit", "when": "The immediate target is remembering learned material and you can check attempted answers against a trustworthy source.", "why": "Retrieval exposes what is actually available from memory so limited study time can be directed toward misses instead of familiarity.", "caveat": "Recall is not the same as application; add a representative performance task when the real outcome is doing, judging, speaking, calculating, or producing.", "gold_review": { "reviewed_at": "2026-09-05", "review_status": "gold-ready", "first_action": "Choose three to five things you genuinely need to remember, close the source, and try to produce the first answer before looking.", "observable_signal": "Whether the learner can produce the target information without looking, identify and correct misses, and—if application matters—complete a separate representative application task.", "eligibility": [ "The target includes information, rules, concepts, vocabulary, or other material that the person needs to retrieve from memory.", "The learner can compare the attempted answer with a trustworthy source or worked answer soon after retrieval.", "The task is low-risk enough that practice errors can be corrected before the knowledge is used in a consequential setting." ], "when_not_to_use": [ "Do not use memory recall alone as a substitute for supervised practice, competency assessment, or expert review in safety-critical, clinical, legal, financial, or other consequential work.", "Do not assume recall practice by itself trains application, procedural execution, fluent production, judgment, or transfer to a new problem.", "Do not keep guessing from memory when the material has not first been learned well enough to provide a meaningful retrieval target; learn or clarify the source first." ], "evidence_boundary": { "status": "reviewed", "statement": "Applied classroom research supports retrieval practice as a useful strategy for learning and retention. Brali keeps the claim outcome-specific: later remembering is not the same as later application, and the broad label testing effect can combine distinct direct and forward effects.", "source_decision_ids": [ "testing-effect-direct-forward-2026", "retrieval-procedural-application-2026" ] } } }, { "canonical_id": "brali:protocol:weekly-theme-learning-sprints", "slug": "weekly-theme-learning-sprints", "url": "https://brali-lifeos.github.io/life-os/weekly-theme-learning-sprints/", "title": "Spend Each Week Focused on a Single Theme", "description": "Spend each week focused on a single theme. Immerse yourself in everything related to that topic through reading, watching, and activities.", "action": "Choose one narrow learning theme for the week, define one visible result for Friday, and complete at least one small practice rep on each day you work on it.", "check_in": "Did I complete one practice rep? What was the main friction, and what should I change for the next rep?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "skill-learning" ], "is_flagship_100": true, "fit": "alternative", "when": "Limited time is being fragmented across too many topics rather than one specific learning target.", "why": "A narrow theme and visible artifact reduce scattering and tie new input to observed friction.", "caveat": "A one-week frame is an organizational convenience, not an optimal learning schedule or proof of mastery.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Choose one narrow learning theme and one visible end-of-week artifact, then make the first small practice attempt before collecting more resources.", "observable_signal": "Whether real practice attempts occurred, a visible artifact or demonstration exists, recurring friction is identifiable, and the learner can name a useful next practice decision.", "eligibility": [ "The learner can choose one narrow low-risk skill or topic that can be practiced through small attempts during the week.", "A visible end-of-week artifact or demonstration can represent progress without pretending to measure mastery.", "The learner can reduce scope when the week gets crowded and can inspect errors, friction, or unanswered questions after practice." ], "when_not_to_use": [ "Do not treat one week, a daily streak, or a fixed number of practice sessions as a scientifically optimal learning schedule.", "Do not use a narrow weekly theme as a substitute for qualified supervision, feedback, or assessment where errors are high stakes.", "Do not spend the week collecting resources when the target requires actual recall, production, problem solving, or performance practice." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical learning-organization template. Brali does not claim that a one-week theme, daily reps, three resources, or this exact loop is an evidence-backed optimal schedule for learning or retention.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:10-minute-language-microsprints", "slug": "10-minute-language-microsprints", "url": "https://brali-lifeos.github.io/life-os/10-minute-language-microsprints/", "title": "Practice One Small Language Skill for a Short Session", "description": "Use a short study session to practice one narrow language skill such as recalling a few words, listening to a short clip, or speaking a brief response. Ten minutes is a convenient starting point, not a required dose.", "action": "Pick one narrow language task, such as reviewing a few phrases, listening to a short clip, reading a small passage, or recording a brief spoken answer. Practice for a short session and finish with one note about what to revisit next.", "check_in": "What did I practice, what could I recall or understand without help, and what is the next small thing worth repeating?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "language-learning" ], "is_flagship_100": true, "fit": "alternative", "when": "The target is language practice and a small session boundary would reduce setup friction.", "why": "It requires a real recall, comprehension, or production attempt instead of spending the short session reorganizing study materials.", "caveat": "Ten minutes is not a minimum effective dose or complete curriculum; important errors still need reliable feedback.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Pick one language skill small enough to attempt now, set a short session boundary, and begin with an act of recall, comprehension, or production rather than reorganizing study materials.", "observable_signal": "Whether the learner completed a real recall, comprehension, or production attempt; what could be done without help; which errors were corrected; and whether the next practice target became clearer.", "eligibility": [ "The learner can choose one narrow low-risk language target such as recalling a few words, understanding a short clip, reading a small passage, pronunciation practice, or one brief spoken response.", "A short session would reduce setup friction and the learner has material or prompts that are good enough to use now.", "The learner can check at least part of the attempt against a trustworthy answer, transcript, dictionary, teacher, or other feedback source when accuracy matters." ], "when_not_to_use": [ "Do not treat ten minutes as a minimum effective dose, a complete daily curriculum, or a guarantee of retention, fluency, pronunciation improvement, or proficiency growth.", "Do not rely on short unsupervised practice alone for high-stakes interpreting, safety-critical communication, formal assessment, or errors that require qualified feedback.", "Do not let choosing apps, reorganizing decks, or tracking streaks consume most of the practice boundary." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical session-design template, not an efficacy claim about a ten-minute dose. Brali does not currently attach reviewed evidence establishing that short sessions of this exact format are optimal or that they produce a predictable improvement in vocabulary, fluency, pronunciation, or adherence.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:learn-under-time-pressure", "problem": "How do I learn effectively when I do not have much time?", "canonical_url": "https://brali-lifeos.github.io/problems/learn-under-time-pressure/", "best_fit": { "canonical_id": "brali:protocol:active-recall-test-yourself", "slug": "active-recall-test-yourself", "title": "Active Recall: Close the Notes and Make Memory Work", "when": "The immediate target is remembering learned material and you can check attempted answers against a trustworthy source.", "why": "Retrieval exposes what is actually available from memory so limited study time can be directed toward misses instead of familiarity.", "caveat": "Recall is not the same as application; add a representative performance task when the real outcome is doing, judging, speaking, calculating, or producing.", "first_action": "Choose three to five things you genuinely need to remember, close the source, and try to produce the first answer before looking.", "evidence_state": "reviewed" }, "alternatives": [ { "canonical_id": "brali:protocol:weekly-theme-learning-sprints", "slug": "weekly-theme-learning-sprints", "title": "Spend Each Week Focused on a Single Theme", "when": "Limited time is being fragmented across too many topics rather than one specific learning target.", "why": "A narrow theme and visible artifact reduce scattering and tie new input to observed friction.", "caveat": "A one-week frame is an organizational convenience, not an optimal learning schedule or proof of mastery.", "first_action": "Choose one narrow learning theme and one visible end-of-week artifact, then make the first small practice attempt before collecting more resources.", "evidence_state": "practical" }, { "canonical_id": "brali:protocol:10-minute-language-microsprints", "slug": "10-minute-language-microsprints", "title": "Practice One Small Language Skill for a Short Session", "when": "The target is language practice and a small session boundary would reduce setup friction.", "why": "It requires a real recall, comprehension, or production attempt instead of spending the short session reorganizing study materials.", "caveat": "Ten minutes is not a minimum effective dose or complete curriculum; important errors still need reliable feedback.", "first_action": "Pick one language skill small enough to attempt now, set a short session boundary, and begin with an act of recall, comprehension, or production rather than reorganizing study materials.", "evidence_state": "practical" } ], "stop_rule": "Do not interpret one successful recall session as proof of durable mastery. Use delayed checks or real application when the stakes justify it." }, "evidence_decisions": [ { "id": "distributed-practice-verbal-recall-boundary-2006", "decision": "support-existing", "reviewed_at": "2026-08-22", "source_title": "Distributed practice in verbal recall tasks: A review and quantitative synthesis", "source_url": "https://doi.org/10.1037/0033-2909.132.3.354", "supported_claim": "For verbal material measured by later recall, separating repeated study episodes by a meaningful interval generally supports better retention than concentrating the same material into massed study. The spacing associated with the best later recall tended to increase as the intended retention interval increased. For material that must be retained over months or years, the reviewed evidence supports distributing study across days or longer rather than completing all review in one sitting or one day. These findings justify the rewritten Brali action only within a verbal-recall boundary and without one universal schedule.", "unsupported_or_overstated_claims": [ "One fixed daily, weekly or software-generated interval is optimal for all material and retention targets.", "Twenty minutes every day is superior to two hours in one sitting by a specific ratio.", "An 85 to 90 percent retrieval-success threshold identifies the correct next interval.", "Expanding intervals are reliably superior to fixed intervals; the review described the available evidence as limited, variable and insufficient for that conclusion.", "Longer spacing is always better; the review found that intervals can become too long and that the useful interval depends on the retention target.", "The source identifies testing, feedback or deliberate recall attempts as the causal mechanism of the spacing effect.", "The source establishes consolidation windows, neuroplasticity, reconsolidation or another biological mechanism for the public protocol.", "The result extends beyond later verbal recall to complex skills, problem solving, creative work, workplace performance or broader transfer outcomes.", "A spaced schedule guarantees durable memory for an individual learner.", "Children's long-term retention over months or years is established with the same confidence as the young-adult evidence.", "Daily streaks, adherence scores, AI coaching or app reminders are evidence-supported components of distributed practice." ], "limitations": [ "The synthesis was restricted to verbal memory tasks measured by recall and deliberately excluded recognition, frequency judgments and the heterogeneous skill-learning literature.", "The evidence base was dominated by young adults; the authors reported very little middle-aged and older-adult evidence and insufficient long-term child data for confident generalization.", "Many studies did not report the variance data needed for effect-size calculation, so several analyses relied on accuracy differences and included fewer effect-size estimates.", "Published null findings may be underrepresented because of the file-drawer problem.", "Study materials, presentation schedules, retention intervals and experimental procedures varied substantially.", "Some historical studies confounded longer spacing with more relearning trials; the review examined this problem but could not remove every design limitation from the literature.", "Binning inter-study and retention intervals supported broad patterns but reduced the ability to recommend exact intervals.", "The useful interval depends jointly on spacing and the later retention target, and the authors stated that exact long-term optimization could not be specified with certainty.", "Evidence comparing expanding and fixed schedules was sparse and inconsistent, with large between-study variability.", "The synthesis addresses later recall, not broader comprehension, transfer, motivation, study adherence or real-world performance.", "The review was published in 2006 and should be rechecked against newer syntheses before adding more precise scheduling claims." ] }, { "id": "genai-learning-augmentation-boundary-2026", "decision": "support-existing", "reviewed_at": "2026-09-05", "source_title": "Evidence of impact and interpretational limits of generative AI in STEM education: a systematic review and meta-analysis on cognitive learning outcomes", "source_url": "https://link.springer.com/article/10.1007/s10462-026-11665-9", "supported_claim": "Brali should not treat generative AI as a learning intervention by itself. In this highly heterogeneous literature, the apparent positive pooled effect did not survive robust publication-bias correction, while more informative moderator evidence suggested that outcomes depend partly on what cognitive work the learner still performs. This supports the existing human-first AI collaboration principle in learning contexts: preserve a meaningful learner attempt, explanation, retrieval, reasoning or verification step and use AI to extend or refine that activity rather than silently replacing the activity being learned.", "unsupported_or_overstated_claims": [ "Generative AI has been shown to improve STEM learning overall.", "Human-first AI workflows are proven superior for every learning task; the review compared heterogeneous instructional designs rather than one canonical Brali workflow.", "AI substitution is always harmful or augmentation is always beneficial.", "The meta-analysis establishes an optimal prompt, model, tutoring script, feedback style or amount of AI assistance.", "Knowledge outcomes are universally improved while skill outcomes are not; substantial residual heterogeneity remained within categories.", "A large effect reported in an individual AI-learning study should be assumed causal when intervention and control groups performed different levels of cognitive activity.", "The findings establish long-term skill retention, transfer to real work, or independent performance after AI is removed.", "The results generalize unchanged beyond STEM education." ], "limitations": [ "Between-study heterogeneity was extreme (I²=96.32%), and the prediction interval included negative, null and strongly positive true effects.", "Funnel-plot asymmetry and the Robust Bayesian Meta-Analysis indicated substantial publication bias; after correction the evidence favored no stable overall positive or negative main effect.", "The review's risk-of-bias assessment found high risk across included studies, with no study meeting the low-risk criteria.", "Many studies used cognitively incomparable intervention and control conditions; the authors identified numerous apparently large effects where this comparison problem was present.", "Most studies used text-based systems and many were conducted in higher education, limiting generalization to other learners, modalities and tasks.", "AI literacy, metacognitive skill, delegation behavior, prompt quality and verification behavior were often underreported, leaving important mechanisms unresolved.", "Evidence about learner challenges and instructional supports was sparse and inconsistently reported, so those qualitative findings should not be turned into general effect estimates.", "Moderator patterns explained only part of the heterogeneity and did not produce a sufficient if-then configuration that guaranteed large effects." ] }, { "id": "prequestions-targeted-learning-boundary-2025", "decision": "propose-protocol", "reviewed_at": "2026-09-15", "source_title": "The Effect of Prequestions on Learning: A Multilevel Meta-Analysis", "source_url": "https://doi.org/10.1007/s10648-025-10075-7", "supported_claim": "Prequestions can improve later learning of the specific information they target. The meta-analysis reported g = 0.66 for prequestioned information and g = 0.01 for non-prequestioned information; feedback alongside prequestions was associated with stronger targeted learning.", "unsupported_or_overstated_claims": [ "Prequestions improve learning of the entire lesson.", "Any question asked before learning will be beneficial.", "There is one evidence-backed optimal number of prequestions.", "A wrong first answer is itself sufficient without later exposure or correction.", "Prequestions replace retrieval practice, practice problems, or feedback after learning." ], "limitations": [ "The average benefit is specific to prequestioned information rather than a broad benefit to all content.", "The meta-analysis does not establish one universal question count, timing rule, or content format.", "Effect sizes summarize heterogeneous studies and do not guarantee the same result for an individual learning session." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:desk-day-movement", "slug": "desk-day-movement", "acquisition_cluster_id": null, "title": "Add movement to a desk-heavy day without a perfect schedule", "question": "How can I move more when I sit at a desk most of the day?", "aliases": [ "move more during a desk day", "break up long sitting while working", "screen and movement breaks at a desk" ], "summary": "Choose repeatable movement opportunities and safe recovery breaks without pretending there is one scientifically perfect interval.", "canonical_url": "https://brali-lifeos.github.io/problems/desk-day-movement/", "json_url": "https://brali-lifeos.github.io/problems/desk-day-movement/index.json", "query_url": "/for-ai/query/?q=I%20sit%20for%20hours%20while%20working.%20How%20can%20I%20add%20more%20movement%20to%20my%20day%3F", "related_url": "/topics/movement/", "topics": [ { "id": "movement", "title": "Movement", "canonical_id": "brali:topic:movement" }, { "id": "fitness-strength", "title": "Fitness & Strength", "canonical_id": "brali:topic:fitness-strength" } ], "related_topics": [ { "id": "recovery-energy", "title": "Recovery & Energy", "canonical_id": "brali:topic:recovery-energy" }, { "id": "health-basics", "title": "Everyday Health Basics", "canonical_id": "brali:topic:health-basics" } ], "decision_path": [ { "if": "The main problem is uninterrupted sitting", "try": "Attach brief movement to transitions you already have: calls, refills, task changes, or natural breaks." }, { "if": "Stress or tension is accumulating", "try": "Use a safe short walk as a change of context when walking is appropriate for you." }, { "if": "Screen discomfort is the more immediate signal", "try": "Use safe distance-looking breaks and keep persistent symptoms as a separate eye-care question." } ], "stop_rule": "Pain, injury, new severe symptoms, persistent vision changes, or medical exercise restrictions belong outside a general knowledge library and should be handled with appropriate professional guidance.", "protocols": [ { "canonical_id": "brali:protocol:10-minute-stress-walk", "slug": "10-minute-stress-walk", "url": "https://brali-lifeos.github.io/life-os/10-minute-stress-walk/", "title": "Take a Short Walk When Stress Builds", "description": "Whenever stress hits, take a quick 10-minute walk—whether it’s outside, around a park, or just circling your office.", "action": "When stress is building, consider a short, comfortable walk if walking is safe and practical for you. Treat ten minutes as a convenient boundary, not a medically proven dose. If a greener route is just as easy and safe, prefer it as a reasonable experiment rather than making a special trip. Then notice whether you feel any different before returning to the next task.", "check_in": "Did I take the walk? Was the route ordinary or relatively green? How did my stress or tension feel before and after, and did I return more able to continue the next task?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2026.1802759/full", "reviewed_at": "2026-08-18" }, "topic_ids": [ "stress-regulation", "movement" ], "is_flagship_100": true, "fit": "best-fit", "when": "A safe short walk is practical and you want a simple movement-and-context reset during an ordinary desk day.", "why": "Walking creates a concrete break from prolonged sitting while keeping the intervention simple and adjustable.", "caveat": "It is a general-wellbeing option, not treatment, and ten minutes is not a universal therapeutic or exercise dose.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "When stress builds, choose a safe familiar place and take a comfortable short walk if walking is appropriate for you, treating ten minutes only as a convenient boundary.", "observable_signal": "Whether the walk happened safely, whether the user's stress or tension felt different afterward, and whether the practice remains useful enough to repeat without replacing appropriate care.", "eligibility": [ "Walking is safe and practical for the user in the current setting and circumstances.", "The user is looking for a small general-wellbeing reset rather than diagnosis or treatment of a mental-health condition.", "The user can notice a simple before-and-after subjective signal without treating one walk as proof of causality." ], "when_not_to_use": [ "Do not use the protocol when walking is medically inappropriate, unsafe in the current environment, or would interfere with an immediate duty that requires attention.", "Do not present a ten-minute walk as treatment for depression, anxiety, severe stress, or another condition, or as a substitute for appropriate professional support.", "Do not prescribe a pace, heart-rate target, step count, breathing ratio, calorie goal, or ten-minute duration as a universal therapeutic dose." ], "evidence_boundary": { "status": "reviewed", "statement": "WHO guidance on stress includes regular exercise, including walking, among strategies that can help reduce stress, and WHO physical-activity guidance recognizes walking as physical activity that can support health and wellbeing. These sources do not establish ten minutes as a universal therapeutic dose or guarantee an immediate stress reduction for every person, so Brali keeps the action as a bounded general-wellbeing option.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:20-20-20-eye-break-reminder", "slug": "20-20-20-eye-break-reminder", "url": "https://brali-lifeos.github.io/life-os/20-20-20-eye-break-reminder/", "title": "Use the 20-20-20 Rule for Screen Breaks", "description": "When you spend a long time looking at screens, take a short distance-viewing break: about every 20 minutes, look at something about 20 feet away for 20 seconds.", "action": "During long periods of screen use, take a short visual break about every 20 minutes and look at something about 20 feet away for 20 seconds. Use the reminder as a simple screen-rest cue, not as a treatment or a substitute for eye care.", "check_in": "Did I take regular screen breaks, and are eye strain, dryness, headaches, or blurred vision still bothering me enough that I should discuss them with an eye-care professional?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://www.nei.nih.gov/eye-health-information/healthy-vision/how-eyes-work/keep-your-eyes-healthy", "reviewed_at": "2026-08-18" }, "topic_ids": [ "health-basics", "digital-wellbeing", "recovery-energy" ], "is_flagship_100": true, "fit": "alternative", "when": "Long screen viewing is creating eye tiredness or discomfort and a brief visual break can be taken safely.", "why": "The rule supplies a memorable cue to change near-screen focus during prolonged computer use.", "caveat": "It does not diagnose or treat the cause of persistent symptoms and should never be forced during a task where looking away is unsafe.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "During a long screen session, take a brief safe visual break around a natural pause and look at something roughly 20 feet away for about 20 seconds.", "observable_signal": "Whether the user took safe visual breaks during prolonged screen use and whether discomfort remains frequent, persistent, worsening, or significant enough to warrant eye-care evaluation.", "eligibility": [ "The user is doing ordinary prolonged screen work where a brief visual break can be taken safely.", "A reminder to look at a distant object can be used without interfering with driving, monitoring, or another safety-critical duty.", "The user understands that persistent eye strain, dryness, headaches, blurred vision, or other vision changes may require professional assessment." ], "when_not_to_use": [ "Do not use a screen-break reminder as treatment for an eye condition, as a substitute for regular eye care, or as a reason to ignore persistent or changing symptoms.", "Do not force a reminder during driving, machinery use, safety monitoring, or another task where looking away at that moment would be unsafe.", "Do not claim that the exact 20-minute interval, 20-foot distance, or 20-second duration prevents eye disease, improves vision, or guarantees symptom relief." ], "evidence_boundary": { "status": "reviewed", "statement": "The U.S. National Eye Institute recommends the 20-20-20 screen-break habit during prolonged computer use: every 20 minutes, look about 20 feet away for 20 seconds. Brali preserves that public-health recommendation while explicitly avoiding claims that the rule treats eye disease, improves vision, or guarantees symptom relief.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:desk-day-movement", "problem": "How can I move more when I sit at a desk most of the day?", "canonical_url": "https://brali-lifeos.github.io/problems/desk-day-movement/", "best_fit": { "canonical_id": "brali:protocol:10-minute-stress-walk", "slug": "10-minute-stress-walk", "title": "Take a Short Walk When Stress Builds", "when": "A safe short walk is practical and you want a simple movement-and-context reset during an ordinary desk day.", "why": "Walking creates a concrete break from prolonged sitting while keeping the intervention simple and adjustable.", "caveat": "It is a general-wellbeing option, not treatment, and ten minutes is not a universal therapeutic or exercise dose.", "first_action": "When stress builds, choose a safe familiar place and take a comfortable short walk if walking is appropriate for you, treating ten minutes only as a convenient boundary.", "evidence_state": "reviewed" }, "alternatives": [ { "canonical_id": "brali:protocol:20-20-20-eye-break-reminder", "slug": "20-20-20-eye-break-reminder", "title": "Use the 20-20-20 Rule for Screen Breaks", "when": "Long screen viewing is creating eye tiredness or discomfort and a brief visual break can be taken safely.", "why": "The rule supplies a memorable cue to change near-screen focus during prolonged computer use.", "caveat": "It does not diagnose or treat the cause of persistent symptoms and should never be forced during a task where looking away is unsafe.", "first_action": "During a long screen session, take a brief safe visual break around a natural pause and look at something roughly 20 feet away for about 20 seconds.", "evidence_state": "reviewed" } ], "stop_rule": "Pain, injury, new severe symptoms, persistent vision changes, or medical exercise restrictions belong outside a general knowledge library and should be handled with appropriate professional guidance." }, "evidence_decisions": [ { "id": "activity-breaks-postprandial-metabolism-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-30", "source_title": "The Acute Effects of Interrupting Prolonged Sitting With Regular Activity Breaks on Postprandial Glucose and Insulin in Adults: A Systematic Review and Meta-Analysis", "source_url": "https://onlinelibrary.wiley.com/doi/10.1111/obr.70152", "supported_claim": "For acute post-meal metabolism, replacing small portions of a prolonged sitting period with brief activity is better supported than remaining continuously seated. Across randomized crossover evidence, regular activity breaks reduced postprandial glucose and insulin responses, with walking producing the strongest overall mode estimates. Brali can therefore propose a bounded protocol to interrupt long sitting bouts with brief movement, especially walking when feasible, while treating the exact timing and dose as adaptable rather than universally fixed.", "unsupported_or_overstated_claims": [ "A break every 20 minutes is the universal optimal schedule for all people and settings.", "Brief movement breaks prevent diabetes, cardiovascular disease, obesity, or mortality.", "The protocol improves concentration, productivity, mood, pain, or cognitive performance.", "Standing alone produces the same metabolic effect as walking or active movement.", "Brief sitting interruptions can replace recommended weekly physical activity or structured exercise.", "The subgroup estimates establish which BMI or clinical group will benefit most.", "One exact walking speed, intensity, duration, or exercise routine is required." ], "limitations": [ "All included studies were acute laboratory randomized crossover trials lasting less than 24 hours, so the evidence does not establish long-term health effects or sustainability.", "Prolonged-sitting laboratory protocols, especially the longer ones, may not resemble habitual real-world sitting.", "Many pooled and subgroup estimates had substantial heterogeneity that remained after subgroup analysis.", "Most studies were rated fair or good rather than excellent; participant blinding was impossible and reporting of attrition and assessor blinding was inconsistent.", "The review was not prospectively registered in PROSPERO or another registry and no review protocol was prepared.", "The search was limited to peer-reviewed English-language studies, so relevant evidence may have been missed.", "Frequency and mode subgroup comparisons do not by themselves prove that the largest subgroup estimate is the optimal prescription for an individual." ] }, { "id": "caffeine-dose-timing-sleep-boundary-2025", "decision": "support-existing", "reviewed_at": "2026-09-06", "source_title": "Dose and timing effects of caffeine on subsequent sleep: a randomized clinical crossover trial", "source_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC11985402/", "supported_claim": "Caffeine timing should be interpreted together with dose rather than as one universal after-lunch rule. In this small randomized crossover trial, a single 400 mg dose disrupted multiple objective sleep measures when taken within 12 hours of bedtime, with larger disruption closer to bedtime; no statistically significant sleep effect was detected for 100 mg at the tested 12-, 8-, and 4-hour timings. For Brali, this supports moving large late-day caffeine doses earlier when sleep matters and using bedtime-relative timing rather than a fixed clock cutoff.", "unsupported_or_overstated_claims": [ "Everyone should stop caffeine at 1 p.m. or immediately after lunch.", "A 100 mg dose four hours before bedtime is safe or sleep-neutral for every person.", "Twelve hours is a scientifically established cutoff for every caffeine dose or pattern of use.", "People can infer whether they metabolize caffeine quickly from whether they fall asleep after an afternoon coffee.", "The study establishes an ideal daily caffeine dose, a body-weight dosing range, or a morning dosing schedule.", "The trial tested ordinary coffee, tea, energy drinks, or repeated real-world servings rather than standardized caffeine capsules.", "A personal sleep log can establish a causal individual caffeine dose-response curve." ], "limitations": [ "The sample was small (23 participants) and included only healthy men aged 18–40, limiting generalizability to women, older adults, adolescents, people with sleep disorders, and other populations.", "Participants were moderate habitual caffeine users; results may differ in people with very low, very high, or irregular caffeine exposure.", "The intervention used acute standardized caffeine capsules rather than the variable doses, ingredients, absorption patterns, and repeated servings found in real-world caffeinated products.", "The study tested only two caffeine doses and three pre-bed timing points, so it cannot define a continuous or personalized cutoff.", "Sleep was measured with in-home partial polysomnography rather than full laboratory polysomnography.", "A nonsignificant result for 100 mg in this sample is not proof of no effect for every individual, especially given known variability in caffeine pharmacokinetics and sensitivity." ] }, { "id": "exercise-snacks-cardiorespiratory-fitness-boundary-2026", "decision": "support-existing", "reviewed_at": "2026-09-09", "source_title": "Effects of exercise snacks on cardiorespiratory fitness, body composition, and blood lipids in adults across different age groups: a systematic review and meta-analysis", "source_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13486332/", "supported_claim": "Across the included randomized studies, exercise snacks improved VO2max and peak power output on average with moderate-certainty evidence. This supports offering distributed brief exercise bouts as a practical cardiorespiratory-fitness option when a longer continuous workout is difficult to fit. The evidence does not establish one modality, timer, number of bouts, weekly frequency or intervention duration as the optimal prescription.", "unsupported_or_overstated_claims": [ "A 20-seconds-on/10-seconds-off Tabata timer is the evidence-based exercise-snack dose.", "Three or four one-minute exercise snacks per day are universally optimal.", "The subgroup with more than five daily bouts proves that more bouts are better for each individual.", "Four to five days per week or seven to nine weeks is an optimized prescription.", "Exercise snacks reliably reduce body fat or improve cholesterol and triglycerides.", "Exercise snacks are equivalent to or should replace conventional exercise.", "The nonsignificant VO2max result in studies with mean age above 50 proves exercise snacks do not work for people older than 50.", "A short exercise bout automatically produces a meaningful training stimulus regardless of intensity, modality or execution." ], "limitations": [ "Cardiorespiratory-fitness effects showed substantial between-study heterogeneity (I2 74% for VO2max and 63% for peak power output), which contributed to GRADE downgrading.", "Certainty was low for body-fat and blood-lipid outcomes because of heterogeneity, imprecision and possible publication bias for some outcomes.", "Interventions differed markedly in modality, intensity, bout duration, within-day distribution, weekly frequency, intervention duration and supervision.", "Dietary control varied across trials and could contribute to inconsistent body-composition and lipid results.", "Age analyses used study-level mean age rather than individual participant data, creating ecological-bias risk and making individual age cutoffs inappropriate.", "Potential publication bias was detected for VO2max and body-fat percentage.", "Subgroup analyses compared relatively small numbers of studies and cannot identify a causal optimal dose.", "Long-term scalability remains uncertain." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:prepare-difficult-conversation", "slug": "prepare-difficult-conversation", "acquisition_cluster_id": "difficult-conversation", "title": "Prepare for a difficult conversation without escalating it", "question": "How do I prepare for a difficult conversation at work or at home?", "aliases": [ "prepare for a difficult conversation", "avoid escalating a disagreement", "make a hard conversation clearer" ], "summary": "Clarify the outcome, separate observations from interpretations, listen for the other person's model, and leave room for repair.", "canonical_url": "https://brali-lifeos.github.io/problems/prepare-difficult-conversation/", "json_url": "https://brali-lifeos.github.io/problems/prepare-difficult-conversation/index.json", "query_url": "/for-ai/query/?q=How%20can%20I%20prepare%20for%20a%20difficult%20conversation%20without%20escalating%20it%3F", "related_url": "/life-os/areas/communication-relationships/", "topics": [ { "id": "difficult-conversations", "title": "Difficult Conversations", "canonical_id": "brali:topic:difficult-conversations" }, { "id": "listening", "title": "Listening", "canonical_id": "brali:topic:listening" }, { "id": "clear-communication", "title": "Clear Communication", "canonical_id": "brali:topic:clear-communication" }, { "id": "conflict-repair", "title": "Conflict & Repair", "canonical_id": "brali:topic:conflict-repair" } ], "related_topics": [], "decision_path": [ { "if": "You are rehearsing accusations", "try": "Write down the observable situation, the impact, and the outcome you want before deciding what you think the other person intended." }, { "if": "You expect disagreement", "try": "Prepare one or two genuine questions. The conversation needs a way to update your model, not only transmit your conclusion." }, { "if": "The relationship matters after the conversation", "try": "Plan how you will check understanding and repair misinterpretation instead of optimizing for winning the exchange." } ], "stop_rule": "If there is coercion, abuse, threats, or a serious safety issue, ordinary communication techniques are not an adequate response plan.", "protocols": [ { "canonical_id": "brali:protocol:active-listening-exercises", "slug": "active-listening-exercises", "url": "https://brali-lifeos.github.io/life-os/active-listening-exercises/", "title": "Do Active Listening Exercises", "description": "Practice active listening by summarizing and repeating back what the other person has said to confirm understanding.", "action": "In one conversation, wait until the other person finishes a thought, paraphrase the main point in your own words, invite correction, and ask one open question before offering advice or changing the topic.", "check_in": "Did I summarize before responding? Was my summary accepted or corrected, and what did the correction teach me?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "relationships" ], "is_flagship_100": true, "fit": "best-fit", "when": "Understanding the other person's main point matters and the conversation is ordinary and safe enough for a paraphrase-and-correction loop.", "why": "The protocol makes misunderstanding observable by inviting correction before you argue with an interpretation.", "caveat": "Do not force it in unsafe or coercive situations, and do not treat one paraphrase as proof that the conflict is resolved.", "gold_review": { "reviewed_at": "2026-09-05", "review_status": "gold-ready", "first_action": "In one conversation where understanding matters, wait for one complete thought, summarize the main point briefly in your own words, and leave room for correction.", "observable_signal": "Whether the listener summarized before reacting, whether the speaker accepted or corrected the summary, and what mistaken assumption became visible when correction occurred.", "eligibility": [ "The conversation is ordinary and safe enough for a brief paraphrase-and-correction loop.", "Understanding the other person's point matters more than immediately persuading, diagnosing, defending, or giving advice.", "There is enough conversational time to let the other person correct the listener without turning the exchange into a scripted performance." ], "when_not_to_use": [ "Do not force this exercise in abuse, coercion, threats, harassment, violence, or other unsafe situations where safety, distance, documentation, or professional support takes priority.", "Do not paraphrase motives or emotions as facts; interpretations should remain tentative and easy to correct.", "Do not use the technique as proof that the listener understood accurately, resolved a conflict, improved trust, or produced a better relationship outcome." ], "evidence_boundary": { "status": "practical", "statement": "Brali keeps this as a correction-based practical protocol rather than claiming generic active-listening effectiveness. A small trained-interviewer experiment supports a narrow paraphrase-plus-accuracy-check behavior for immediate emotional valence, while a larger multicomponent cardiology coaching trial did not show intervention-arm increases in reflective statements or open-ended questions and cannot validate Brali's sequence independently.", "source_decision_ids": [ "empathic-paraphrasing-immediate-emotion-boundary-2012", "communication-coaching-reflective-statements-boundary-2023" ] } } }, { "canonical_id": "brali:protocol:5w1h-communication-checklist", "slug": "5w1h-communication-checklist", "url": "https://brali-lifeos.github.io/life-os/5w1h-communication-checklist/", "title": "Check Who, What, Where, When, Why, and How", "description": "Before an important operational message, check whether the reader has the people, action, place, timing, reason, and next-step details they actually need.", "action": "Review an important operational message using six questions: Who? What? Where? When? Why? How? Add only the missing details the reader needs to act, then send the shortest version that is still clear.", "check_in": "Could the reader act without guessing, and did I include any detail that was unnecessary or sensitive?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "clear-communication" ], "is_flagship_100": true, "fit": "alternative", "when": "The difficult conversation is mainly an operational handoff or request where missing action, ownership, timing, or context is causing friction.", "why": "A concise context-gap check can remove ambiguity before interpersonal interpretation becomes the main problem.", "caveat": "Do not force all six elements into every message or expose sensitive information just to complete a checklist.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write the action or outcome the reader needs first, then scan Who, What, Where, When, Why, and How and add only the missing details required to act without guessing.", "observable_signal": "Whether the recipient could identify the action, owner, relevant timing or location, and next step without avoidable clarification, while unnecessary or sensitive details stayed out.", "eligibility": [ "The message carries an operational request, handoff, meeting detail, decision, or other information where missing context could create delay or avoidable follow-up.", "The sender can identify the reader's actual next action and add only details required to make that action clear.", "Sensitive information can be omitted or moved to an appropriate channel rather than included merely to satisfy a checklist." ], "when_not_to_use": [ "Do not force all six labels into every message when shared context already makes some answers obvious.", "Do not add private, confidential, security-sensitive, or otherwise inappropriate detail merely to make the checklist look complete.", "Do not treat 5W1H as proof that a message is correct, persuasive, legally sufficient, or understood by the recipient." ], "evidence_boundary": { "status": "practical", "statement": "This is an operational clarity checklist. Brali does not attach reviewed evidence that the six questions, this order, or this message format produces a predictable improvement in communication outcomes.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:prepare-difficult-conversation", "problem": "How do I prepare for a difficult conversation at work or at home?", "canonical_url": "https://brali-lifeos.github.io/problems/prepare-difficult-conversation/", "best_fit": { "canonical_id": "brali:protocol:active-listening-exercises", "slug": "active-listening-exercises", "title": "Do Active Listening Exercises", "when": "Understanding the other person's main point matters and the conversation is ordinary and safe enough for a paraphrase-and-correction loop.", "why": "The protocol makes misunderstanding observable by inviting correction before you argue with an interpretation.", "caveat": "Do not force it in unsafe or coercive situations, and do not treat one paraphrase as proof that the conflict is resolved.", "first_action": "In one conversation where understanding matters, wait for one complete thought, summarize the main point briefly in your own words, and leave room for correction.", "evidence_state": "practical" }, "alternatives": [ { "canonical_id": "brali:protocol:5w1h-communication-checklist", "slug": "5w1h-communication-checklist", "title": "Check Who, What, Where, When, Why, and How", "when": "The difficult conversation is mainly an operational handoff or request where missing action, ownership, timing, or context is causing friction.", "why": "A concise context-gap check can remove ambiguity before interpersonal interpretation becomes the main problem.", "caveat": "Do not force all six elements into every message or expose sensitive information just to complete a checklist.", "first_action": "Write the action or outcome the reader needs first, then scan Who, What, Where, When, Why, and How and add only the missing details required to act without guessing.", "evidence_state": "practical" } ], "stop_rule": "If there is coercion, abuse, threats, or a serious safety issue, ordinary communication techniques are not an adequate response plan." }, "evidence_decisions": [ { "id": "apology-repair-2021", "decision": "propose-protocol", "reviewed_at": "2026-08-19", "source_title": "Experimental evidence that apologies promote forgiveness by communicating relationship value", "source_url": "https://pubmed.ncbi.nlm.nih.gov/34162912/", "supported_claim": "In the controlled experiments, apologies promoted forgiveness and operated through a causal pathway shared with perceived relationship value. This supports apology as one potentially useful repair signal after a workable interpersonal transgression.", "unsupported_or_overstated_claims": [ "An apology guarantees forgiveness, reconciliation, or restored trust.", "The harmed person should forgive, accept the apology, or resume the relationship.", "One fixed apology script, cooling-off duration, or delivery deadline is scientifically established.", "Apology is an appropriate repair strategy for abuse, coercion, threats, stalking, or other unsafe situations.", "The study proves that apology alone resolves complex or repeated relationship conflict." ], "limitations": [ "Controlled experimental transgression paradigms do not capture every feature of real-world repeated or high-stakes conflict.", "Forgiveness is only one outcome and is not equivalent to trust, reconciliation, safety, or durable behavior change.", "The effect of apology depends on context, relationship value and the nature of the transgression.", "The study does not validate the specific wording or step sequence used in Brali's public repair protocol." ] }, { "id": "chatbot-difficult-conversation-rehearsal-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-31", "source_title": "Harnessing Artificial Intelligence to Facilitate Difficult Conversations", "source_url": "https://journals.sagepub.com/doi/10.1177/19485506261444068", "supported_claim": "For adults already considering an ordinary difficult conversation, a brief chatbot preparation session modestly increased the probability that they reported actually initiating it over the following week: 65% in the preparation condition versus 59% in control. Brali can therefore test a bounded rehearsal protocol whose goal is to reduce the initiation barrier: clarify the goal, draft an opening, role-play a likely response and prepare one or two contingency moves, then return to the real human conversation.", "unsupported_or_overstated_claims": [ "Chatbot rehearsal makes difficult conversations go better once they occur.", "AI resolves interpersonal conflict or improves relationship quality.", "AI preparation is better than preparing with a friend, coach, therapist, manager or journal.", "The 6-12 minute duration is an established optimal dose.", "The result generalizes unchanged outside US and Canadian adults familiar enough with chatbots to complete the intervention.", "The protocol is appropriate for abuse, coercion, threats, harassment, legal disputes, HR investigations or other situations requiring safety planning, professional support or a durable written record.", "A specific chatbot model or prompt is necessary to obtain the effect." ], "limitations": [ "The primary real-world outcome was participant self-report rather than independently observed conversation behavior.", "The absolute difference in conversation initiation was modest: six percentage points.", "The experimental and control chatbot interactions differed in duration, engagement and prompting, so the study does not isolate which preparation component caused the effect.", "The sample was limited to US and Canadian Prolific participants, restricting cultural generalizability.", "Among participants who did have the difficult conversation, the study found no significant differences in satisfaction, perceived quality, difficulty or thoroughness.", "The study followed behavior for roughly one week and does not establish repeated-use or long-term effects.", "Preparing the conversation increased negative affect immediately after the exercise, and repeated reliance on a chatbot was not studied.", "Safety-sensitive, coercive, legal and high-power-imbalance conversations were not established as appropriate use cases." ] }, { "id": "communication-coaching-reflective-statements-boundary-2023", "decision": "challenge-existing", "reviewed_at": "2026-08-22", "source_title": "Effect of a Coaching Intervention to Improve Cardiologist Communication: A Randomized Clinical Trial", "source_url": "https://doi.org/10.1001/jamainternmed.2023.0629", "supported_claim": "A multicomponent individual coaching program changed some observed cardiologist communication behaviors, particularly empathic responses and eliciting patient questions. Reflective statements and open-ended questions were explicit trained components, but the intervention did not significantly increase either behavior relative to control. This source is therefore a boundary against claiming that training the Brali sequence by itself has demonstrated communication or patient-outcome effects.", "unsupported_or_overstated_claims": [ "The coaching trial shows that paraphrasing or reflective statements alone improved.", "The Brali sequence of paraphrase, correction and one open question is equivalent to the five-component WISER intervention.", "Active listening improved patient understanding, trust, satisfaction or clinical outcomes in this trial.", "Open-ended questions increased because of the coaching intervention.", "A single conversational attempt is equivalent to three individual coaching sessions with tailored feedback.", "The findings generalize directly from cardiology encounters to ordinary work, family, conflict or digital conversations.", "Patient self-reports confirmed an effect; ceiling effects prevented the planned arm comparison.", "Positive clinician opinions about the coaching demonstrate objective effectiveness of each component." ], "limitations": [ "Five communication skills were trained together, so any observed effect cannot be attributed to paraphrasing or open questions independently.", "There was no significant intervention-versus-control difference in reflective statements or open-ended questions.", "Patient-perceived communication and trust effects could not be assessed because scores had substantial ceiling effects.", "The sample included mostly White male cardiologists in an academic setting and many had prior communication training, limiting generalizability.", "Pre- and post-intervention patient samples were different rather than repeated measures on the same patients.", "The intervention required repeated one-to-one coaching and feedback, so it does not test a self-guided protocol used once.", "Clinical and longer-term outcomes were not established." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:plan-realistic-week", "slug": "plan-realistic-week", "acquisition_cluster_id": "weekly-prioritization", "title": "Plan a realistic week when everything looks important", "question": "How do I choose priorities for the week without overloading the plan?", "aliases": [ "prioritize work for the week", "plan a week without overloading it", "decide what not to do this week" ], "summary": "Protect fixed constraints, make a small number of outcomes visible, and separate controllable actions from uncertain results.", "canonical_url": "https://brali-lifeos.github.io/problems/plan-realistic-week/", "json_url": "https://brali-lifeos.github.io/problems/plan-realistic-week/index.json", "query_url": "/for-ai/query/?q=How%20do%20I%20prioritize%20my%20work%20for%20this%20week%20without%20overloading%20the%20plan%3F", "related_url": "/life-os/areas/work-money-strategy/", "topics": [ { "id": "planning-prioritization", "title": "Planning & Prioritization", "canonical_id": "brali:topic:planning-prioritization" }, { "id": "goals", "title": "Goals", "canonical_id": "brali:topic:goals" }, { "id": "work-systems", "title": "Work Systems", "canonical_id": "brali:topic:work-systems" } ], "related_topics": [ { "id": "decision-making", "title": "Decision Making", "canonical_id": "brali:topic:decision-making" } ], "decision_path": [ { "if": "The calendar already contains fixed constraints", "try": "Make them visible before assigning discretionary work. Capacity is what remains, not what you wish remained." }, { "if": "Too many outcomes look important", "try": "Choose a small set that can actually move this week and explicitly defer the rest." }, { "if": "A priority depends on another person or external event", "try": "Separate the action you control from the outcome you can only influence or monitor." } ], "stop_rule": "Re-plan when a material constraint changes. A weekly plan is a decision aid, not a promise that reality must preserve Monday's assumptions.", "protocols": [ { "canonical_id": "brali:protocol:3-3-3-workday-planner", "slug": "3-3-3-workday-planner", "url": "https://brali-lifeos.github.io/life-os/3-3-3-workday-planner/", "title": "Plan Your Workday in Three Simple Blocks", "description": "Split the day into a few broad work blocks and choose a small set of clear outcomes for each. Use three blocks and up to three tasks per block as a template, not a rule.", "action": "Divide the workday into up to three broad blocks. Give each block one to three clear outcomes that fit the time you actually have. Replan when meetings, urgent work, or delays change the day.", "check_in": "Did the blocks help me choose what mattered, and was any block overloaded, too vague, or too rigid?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "work-systems" ], "is_flagship_100": true, "fit": "best-fit", "when": "You need a lightweight structure that keeps fixed constraints visible and reduces a large task inventory to a few observable outcomes.", "why": "Its block logic is useful as a capacity-and-priority template even when the exact number of blocks is adjusted to the real schedule.", "caveat": "The number three is not an evidence-backed optimum; use fewer or different blocks when the work is interrupt-driven or tightly constrained.", "gold_review": { "reviewed_at": "2026-09-09", "review_status": "gold-ready", "first_action": "Look at today's fixed constraints, then write up to three broad work blocks and give each block one to three observable outcomes that fit the time you actually control.", "observable_signal": "Whether the user could identify the current important outcome, whether fixed constraints remained visible, and whether the remaining plan could be updated without carrying obsolete blocks forward as guilt or hidden backlog.", "eligibility": [ "The user is planning an ordinary low-risk workday and can choose or renegotiate at least some priorities.", "Grouping work into a few broad blocks would reduce decision friction without hiding fixed meetings, dependencies, service levels, or deadlines.", "The user is willing to replan when reality changes instead of treating the initial blocks as commitments that must be completed exactly." ], "when_not_to_use": [ "Do not use the template as the controlling workflow for emergency response, incident management, clinical care, driving, safety-critical operations, or another setting where priorities must update continuously from external events.", "Do not compress mandatory sequences, deadlines, handoffs, or dependencies into three blocks when doing so would hide operational constraints.", "Do not interpret three blocks or three outcomes as an evidence-backed optimal dose for productivity." ], "evidence_boundary": { "status": "practical", "statement": "The 3-3-3 structure is a low-risk editorial planning template. Brali has no reviewed source establishing three blocks, three outcomes, or any exact 3×3 schedule as a scientifically optimal productivity method; the value claim is limited to whether the user finds the structure useful in the current workday.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:circles-of-control-planner", "slug": "circles-of-control-planner", "url": "https://brali-lifeos.github.io/life-os/circles-of-control-planner/", "title": "Separate Outcomes From Actions You Can Control", "description": "Draw two circles; one for factors you can control and another for those you cannot. Set clear, achievable goals based on what’s within your control.", "action": "Write down one concern, separate the outcome from the actions you can take, convert anything you can influence into one concrete behavior, and choose the next useful action without pretending you control the final result.", "check_in": "What part of this situation was actually mine to act on, what remained outside my control, and did the sorting help me choose a clearer next step?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "decision-making", "stress-regulation" ], "is_flagship_100": true, "fit": "alternative", "when": "A large part of the week's uncertainty depends on other people, approvals, timing, or external events.", "why": "It separates controllable behavior from outcomes that should be influenced, monitored, escalated, or accepted rather than scheduled as if guaranteed.", "caveat": "Do not use control language to erase structural constraints, safety concerns, or legitimate escalation needs.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write one concern, separate the uncertain outcome from your own observable actions, and choose the smallest useful behavior you can take without pretending it guarantees the result.", "observable_signal": "Whether the user can distinguish an outcome from a behavior, name one real controllable action, and decide what to do with remaining uncertainty without claiming control over the final result.", "eligibility": [ "The user can name one ordinary concern and identify at least one observable action that is genuinely under their control.", "Separating outcome from behavior would help allocate effort without denying that external factors still matter.", "The situation is low-risk enough for a self-guided planning exercise and does not require immediate crisis, legal, medical, safety, or other professional intervention." ], "when_not_to_use": [ "Do not use the framework to blame a person for structural constraints, discrimination, coercion, unsafe conditions, missing resources, or another external barrier.", "Do not relabel an outcome as controllable simply because the user can influence its probability.", "Do not use acceptance language to discourage monitoring, support-seeking, escalation, advocacy, contingency planning, or other appropriate responses to external risk." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical action-allocation reflection. Brali does not attach reviewed evidence that drawing control circles, using this wording, or this exact sequence reliably reduces stress or improves decision quality.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:woop-goal-planner", "slug": "woop-goal-planner", "url": "https://brali-lifeos.github.io/life-os/woop-goal-planner/", "title": "Use WOOP to Turn a Wish Into an If-Then Plan", "description": "Use a Wish, desired Outcome, likely internal Obstacle, and a concrete if-then Plan to make one meaningful goal easier to act on. Treat the method as a self-regulation tool, not a guarantee of goal achievement.", "action": "Choose one meaningful and reasonably feasible wish. Describe the outcome you want, identify an internal obstacle that could derail you, then write: If I notice this obstacle, then I will take this specific action. Try the plan in real life and revise it if the cue or response is not useful.", "check_in": "Did the obstacle actually appear, did my if-then response help me act, and what should I keep or change next time?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://doi.org/10.3389/fpsyg.2021.565202", "reviewed_at": "2026-08-18" }, "topic_ids": [ "goals" ], "is_flagship_100": true, "fit": "alternative", "when": "One meaningful weekly priority is feasible but a recurring internal obstacle keeps derailing execution.", "why": "It turns the obstacle into an explicit if-then response that can be tested during the week.", "caveat": "Keep external blockers separate; WOOP is not a guarantee that the weekly outcome will be achieved.", "gold_review": { "reviewed_at": "2026-09-09", "review_status": "gold-ready", "first_action": "Write one meaningful and reasonably feasible wish, one concrete outcome, one internal obstacle that could derail you, and one sentence in the form: If I notice this obstacle, then I will take this specific action.", "observable_signal": "Whether the chosen obstacle actually appeared, whether the user noticed it, whether the if-then response was executed, and what changed in the next action. Goal completion itself is a separate longer-horizon outcome and is not guaranteed by the protocol.", "eligibility": [ "The wish is meaningful, reasonably feasible, and low-risk enough to test through ordinary self-directed action.", "The user can identify at least one internal obstacle, such as a thought, feeling, habit, or impulse, that is relevant to the goal and partly within their influence.", "The user can define a specific action to try when that obstacle or cue appears and can later inspect what happened." ], "when_not_to_use": [ "Do not use WOOP to reframe an external constraint such as missing permission, money, staffing, safety, discrimination, or another structural blocker as a personal self-regulation failure.", "Do not use the protocol as a guarantee that a goal will be achieved or as a substitute for professional assessment in medical, legal, safety-critical, or other consequential decisions.", "Do not force a wish that is not reasonably feasible or personally meaningful merely to complete the template." ], "evidence_boundary": { "status": "reviewed", "statement": "A 2021 meta-analysis of mental contrasting with implementation intentions reported a small-to-medium average effect on goal attainment across heterogeneous field interventions, with mixed publication-bias diagnostics and a smaller trim-and-fill estimate. A 2026 randomized undergraduate procrastination study provides narrow corroboration for task aversiveness and willingness to act. Brali therefore treats WOOP as a bounded self-regulation option for feasible goals, not as a universal or guaranteed goal-achievement method.", "source_decision_ids": [ "woop-mcii-goal-attainment-meta-analysis-2021", "woop-mcii-academic-procrastination-rct-2026" ] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:plan-realistic-week", "problem": "How do I choose priorities for the week without overloading the plan?", "canonical_url": "https://brali-lifeos.github.io/problems/plan-realistic-week/", "best_fit": { "canonical_id": "brali:protocol:3-3-3-workday-planner", "slug": "3-3-3-workday-planner", "title": "Plan Your Workday in Three Simple Blocks", "when": "You need a lightweight structure that keeps fixed constraints visible and reduces a large task inventory to a few observable outcomes.", "why": "Its block logic is useful as a capacity-and-priority template even when the exact number of blocks is adjusted to the real schedule.", "caveat": "The number three is not an evidence-backed optimum; use fewer or different blocks when the work is interrupt-driven or tightly constrained.", "first_action": "Look at today's fixed constraints, then write up to three broad work blocks and give each block one to three observable outcomes that fit the time you actually control.", "evidence_state": "practical" }, "alternatives": [ { "canonical_id": "brali:protocol:circles-of-control-planner", "slug": "circles-of-control-planner", "title": "Separate Outcomes From Actions You Can Control", "when": "A large part of the week's uncertainty depends on other people, approvals, timing, or external events.", "why": "It separates controllable behavior from outcomes that should be influenced, monitored, escalated, or accepted rather than scheduled as if guaranteed.", "caveat": "Do not use control language to erase structural constraints, safety concerns, or legitimate escalation needs.", "first_action": "Write one concern, separate the uncertain outcome from your own observable actions, and choose the smallest useful behavior you can take without pretending it guarantees the result.", "evidence_state": "practical" }, { "canonical_id": "brali:protocol:woop-goal-planner", "slug": "woop-goal-planner", "title": "Use WOOP to Turn a Wish Into an If-Then Plan", "when": "One meaningful weekly priority is feasible but a recurring internal obstacle keeps derailing execution.", "why": "It turns the obstacle into an explicit if-then response that can be tested during the week.", "caveat": "Keep external blockers separate; WOOP is not a guarantee that the weekly outcome will be achieved.", "first_action": "Write one meaningful and reasonably feasible wish, one concrete outcome, one internal obstacle that could derail you, and one sentence in the form: If I notice this obstacle, then I will take this specific action.", "evidence_state": "reviewed" } ], "stop_rule": "Re-plan when a material constraint changes. A weekly plan is a decision aid, not a promise that reality must preserve Monday's assumptions." }, "evidence_decisions": [ { "id": "ai-review-correction-friction-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Bias in the Loop: How Humans Evaluate AI-Generated Suggestions", "source_url": "https://hdsr.mitpress.mit.edu/pub/nrcn4h7d/release/2", "supported_claim": "When humans review AI-generated suggestions, the review interface itself can bias behavior. In this experiment, adding repair work to the act of rejecting an AI suggestion reduced correction activity and increased undercorrection. Brali can therefore justify a bounded workflow rule: make it cheap to flag or reject an AI output, and separate validation from repair when the repair burden would otherwise make acceptance the path of least resistance.", "unsupported_or_overstated_claims": [ "Making correction easier will always increase overall accuracy.", "People who distrust AI are universally better reviewers.", "Performance bonuses cannot improve AI review in other settings.", "The same effect size applies to expert, medical, legal, financial, or safety-critical review.", "A human-in-the-loop label by itself guarantees reliable oversight.", "AI suggestions should be hidden from reviewers." ], "limitations": [ "The experiment used crowdworkers rather than domain experts.", "The task was limited to ten greenhouse-gas reporting tables and one pre-annotation workflow.", "Several difficult items required domain knowledge that many annotators lacked.", "The randomized correction-burden manipulation changed correction behavior, but the regression analysis did not show a clear overall accuracy loss because overcorrections also decreased.", "AI attitudes predicted behavior observationally rather than through randomized manipulation.", "The study did not include a no-AI baseline and could not analyze item-order effects." ] }, { "id": "ai-structured-intake-human-judgment-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews", "source_url": "https://arxiv.org/html/2607.28222", "supported_claim": "A defensible way to divide some repetitive high-volume workflows is to automate structured information collection while keeping consequential evaluation with a human. In this field experiment, that division improved several downstream hiring outcomes without a measured decline in worker productivity. Transcript evidence is consistent with greater standardization and comparability as a mechanism, but does not prove that mechanism independently. Brali should treat this as a task-allocation pattern to test, not as evidence that AI should make final hiring or other high-stakes decisions.", "unsupported_or_overstated_claims": [ "AI interviewers are generally better than human interviewers.", "AI should make final hiring decisions.", "The result generalizes to specialized, relationship-heavy, tacit-knowledge, executive, clinical, legal, or other high-stakes work.", "Automating information collection removes discrimination or guarantees fairness.", "The same voice-AI system will produce the same results in other firms, languages, cultures, or labor markets.", "Human oversight automatically prevents automation bias.", "The controlled-variance mechanism is causally proven by the experiment." ], "limitations": [ "The source is a working paper rather than a peer-reviewed journal article.", "The experiment was conducted with one recruitment-process outsourcing firm and entry-level customer-service hiring in the Philippines.", "Five percent of AI interviews ended because applicants were unwilling to continue with AI and seven percent experienced technical failure.", "The transcript-based mechanism analysis is associative even though interviewer assignment was randomized.", "The candidate-experience survey had a low response rate and may not represent all applicants.", "Applicants who were allowed to choose showed negative sorting into AI, limiting interpretation of the choice condition.", "Employment selection has legal, fairness, accessibility, and accountability requirements that this study does not resolve." ] }, { "id": "consider-opposite-social-judgment-boundary-1984", "decision": "propose-protocol", "reviewed_at": "2026-09-11", "source_title": "Considering the opposite: A corrective strategy for social judgment", "source_url": "https://doi.org/10.1037/0022-3514.47.6.1231", "supported_claim": "When a judgment is vulnerable to one-sided evidence processing, deliberately generating an opposed possibility can reduce bias on some tasks more effectively than simply telling oneself to be fair or unbiased. Brali can use this as a concrete pre-decision check while preserving the possibility that the original conclusion remains correct.", "unsupported_or_overstated_claims": [ "Consider-the-opposite eliminates confirmation bias.", "The technique transfers automatically to every real-world decision.", "The opposite conclusion should be preferred once generated.", "More counterarguments are always better.", "The strategy should be used for every trivial or reversible choice." ], "limitations": [ "Classic laboratory/social-judgment evidence from undergraduate samples.", "Only two focal task domains were tested in the original article.", "Long-term persistence and broad transfer were not established.", "The authors note that considering the opposite can in some circumstances overweight disconfirming evidence and create a different form of partiality.", "Demand characteristics and task-specific effects remain possible." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:remember-what-you-study", "slug": "remember-what-you-study", "acquisition_cluster_id": "remember-what-you-study", "title": "Remember what you study instead of only recognizing it", "question": "How do I remember more of what I study without just rereading it?", "aliases": [ "remember what I study", "active recall instead of rereading", "retain material after studying" ], "summary": "Use retrieval to test memory, correct misses, and keep retention separate from application or mastery.", "canonical_url": "https://brali-lifeos.github.io/problems/remember-what-you-study/", "json_url": "https://brali-lifeos.github.io/problems/remember-what-you-study/index.json", "query_url": "/for-ai/query/?q=I%20reread%20material%20but%20do%20not%20remember%20it%20later.%20What%20should%20I%20do%3F", "related_url": "/topics/memory/", "topics": [ { "id": "memory", "title": "Memory", "canonical_id": "brali:topic:memory" }, { "id": "skill-learning", "title": "Skill Learning", "canonical_id": "brali:topic:skill-learning" } ], "related_topics": [ { "id": "metacognition", "title": "Metacognition", "canonical_id": "brali:topic:metacognition" }, { "id": "revision-feedback", "title": "Revision & Feedback", "canonical_id": "brali:topic:revision-feedback" } ], "decision_path": [ { "if": "The material feels familiar only while it is visible", "try": "Hide the source and attempt retrieval before looking again." }, { "if": "You miss or distort items", "try": "Check against a trustworthy source and correct the error instead of rehearsing an unresolved guess." }, { "if": "The real goal is application", "try": "Add a separate representative task. Memory for an explanation is not proof that you can use it." } ], "stop_rule": "When recall becomes reliable but real application remains weak, change the practice target instead of adding more recall repetitions by default.", "protocols": [ { "canonical_id": "brali:protocol:active-recall-test-yourself", "slug": "active-recall-test-yourself", "url": "https://brali-lifeos.github.io/life-os/active-recall-test-yourself/", "title": "Active Recall: Close the Notes and Make Memory Work", "description": "Before rereading, hide the source and try to produce the answer from memory. Then check it, fix the misses, and practice application separately if the real goal is solving, speaking, writing, or doing. Familiarity feels nice; retrieval tells you what is actually available without the page in front of you.", "action": "Choose a small set of material you want to retain. Hide the source and answer a question, explain the idea, or write what you remember. Check immediately enough to catch errors and repair them. Then, if success means solving, writing, speaking, calculating, or performing, practice that outcome too. Memory practice is useful; it is not a teleportation device to skill.", "check_in": "What could I retrieve without looking? What was missing or wrong? If the real goal is application, could I actually use the knowledge in a relevant task?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://doi.org/10.1007/s10648-021-09595-9", "reviewed_at": "2026-08-18" }, "topic_ids": [ "memory", "skill-learning" ], "is_flagship_100": true, "fit": "best-fit", "when": "You need to retain learned information and can verify attempted answers soon after retrieval.", "why": "Retrieval practice directly tests whether information can be produced without the source and exposes misses for correction.", "caveat": "Later remembering is not the same as application, judgment, fluent production, or procedural competence.", "gold_review": { "reviewed_at": "2026-09-05", "review_status": "gold-ready", "first_action": "Choose three to five things you genuinely need to remember, close the source, and try to produce the first answer before looking.", "observable_signal": "Whether the learner can produce the target information without looking, identify and correct misses, and—if application matters—complete a separate representative application task.", "eligibility": [ "The target includes information, rules, concepts, vocabulary, or other material that the person needs to retrieve from memory.", "The learner can compare the attempted answer with a trustworthy source or worked answer soon after retrieval.", "The task is low-risk enough that practice errors can be corrected before the knowledge is used in a consequential setting." ], "when_not_to_use": [ "Do not use memory recall alone as a substitute for supervised practice, competency assessment, or expert review in safety-critical, clinical, legal, financial, or other consequential work.", "Do not assume recall practice by itself trains application, procedural execution, fluent production, judgment, or transfer to a new problem.", "Do not keep guessing from memory when the material has not first been learned well enough to provide a meaningful retrieval target; learn or clarify the source first." ], "evidence_boundary": { "status": "reviewed", "statement": "Applied classroom research supports retrieval practice as a useful strategy for learning and retention. Brali keeps the claim outcome-specific: later remembering is not the same as later application, and the broad label testing effect can combine distinct direct and forward effects.", "source_decision_ids": [ "testing-effect-direct-forward-2026", "retrieval-procedural-application-2026" ] } } }, { "canonical_id": "brali:protocol:avoid-list-interference-memory-retention", "slug": "avoid-list-interference-memory-retention", "url": "https://brali-lifeos.github.io/life-os/avoid-list-interference-memory-retention/", "title": "Try Quiet Wakeful Rest After Learning", "description": "After learning declarative material you want to remember, try a short period of quiet, minimally stimulating wakeful rest before switching to another demanding task. Treat it as a personal memory experiment, not a general learning upgrade or a universal ten-minute rule.", "action": "When you finish a focused memory-heavy learning episode, put aside the material and spend a brief period awake in a quiet, low-stimulation setting. Avoid immediately switching to another cognitively demanding task. Choose a duration that is practical for you, then return to normal activity. Do not use the pause as a substitute for self-testing, active review, or other learning methods.", "check_in": "What did I learn, did I actually create a low-interference pause afterward, and when I checked later did recall seem better, unchanged, or worse than usual?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://link.springer.com/article/10.3758/s13423-025-02778-3", "reviewed_at": "2026-08-18" }, "topic_ids": [ "memory" ], "is_flagship_100": true, "fit": "alternative", "when": "You just finished a memory-heavy learning episode and a brief quiet low-interference pause is safe and practical.", "why": "Wakeful rest is a bounded optional experiment for declarative retention after learning, not another input-heavy study step.", "caveat": "Effects are heterogeneous; do not generalize it to comprehension or skill, and do not treat ten minutes or a ritual as a universal dose.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "After one memory-heavy learning episode, put the material away and spend a brief period awake with relatively little new cognitive input before switching to another demanding task.", "observable_signal": "Whether the user actually created a low-interference pause and whether later unaided recall of the target material appears better, unchanged, or worse on comparable learning occasions.", "eligibility": [ "The user has completed a focused learning episode where later recall of declarative material matters.", "A brief quiet, low-stimulation period while staying awake is practical and safe in the current setting.", "The user can check recall later and is willing to treat the result as a personal observation rather than proof of causality." ], "when_not_to_use": [ "Do not use wakeful rest as a replacement for active recall, feedback, adequate sleep, or other learning methods that directly train the required outcome.", "Do not generalize this protocol to comprehension, complex problem solving, skill acquisition, creativity, or other outcomes that the reviewed declarative-memory evidence does not establish.", "Do not treat ten minutes, eye closure, a posture, breathing pattern, or another ritual as an evidence-backed universal dose or requirement." ], "evidence_boundary": { "status": "reviewed", "statement": "A 2026 meta-analysis of 142 effect sizes from 51 experiments found less forgetting on average after wakeful rest than after cognitively engaging interference, but effects were heterogeneous and smallest in healthy young to middle-aged adults. A separate 2026 randomized classroom study of 161 university students found no consistent wakeful-rest advantage for factual recall or conceptual understanding after a complex expository text. Brali therefore keeps this as an optional declarative-memory experiment, not a universal learning upgrade or fixed ten-minute dose.", "source_decision_ids": [ "wakeful-rest-memory-2026", "wakeful-rest-complex-learning-challenge-2026" ] } } }, { "canonical_id": "brali:protocol:weekly-theme-learning-sprints", "slug": "weekly-theme-learning-sprints", "url": "https://brali-lifeos.github.io/life-os/weekly-theme-learning-sprints/", "title": "Spend Each Week Focused on a Single Theme", "description": "Spend each week focused on a single theme. Immerse yourself in everything related to that topic through reading, watching, and activities.", "action": "Choose one narrow learning theme for the week, define one visible result for Friday, and complete at least one small practice rep on each day you work on it.", "check_in": "Did I complete one practice rep? What was the main friction, and what should I change for the next rep?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "skill-learning" ], "is_flagship_100": true, "fit": "alternative", "when": "The bigger problem is scattered practice across too many subjects rather than retrieval itself.", "why": "A narrow weekly target creates repeated practice opportunities and a visible artifact without requiring a large learning system.", "caveat": "The weekly frame organizes practice; it does not prove durable retention or mastery.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Choose one narrow learning theme and one visible end-of-week artifact, then make the first small practice attempt before collecting more resources.", "observable_signal": "Whether real practice attempts occurred, a visible artifact or demonstration exists, recurring friction is identifiable, and the learner can name a useful next practice decision.", "eligibility": [ "The learner can choose one narrow low-risk skill or topic that can be practiced through small attempts during the week.", "A visible end-of-week artifact or demonstration can represent progress without pretending to measure mastery.", "The learner can reduce scope when the week gets crowded and can inspect errors, friction, or unanswered questions after practice." ], "when_not_to_use": [ "Do not treat one week, a daily streak, or a fixed number of practice sessions as a scientifically optimal learning schedule.", "Do not use a narrow weekly theme as a substitute for qualified supervision, feedback, or assessment where errors are high stakes.", "Do not spend the week collecting resources when the target requires actual recall, production, problem solving, or performance practice." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical learning-organization template. Brali does not claim that a one-week theme, daily reps, three resources, or this exact loop is an evidence-backed optimal schedule for learning or retention.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:remember-what-you-study", "problem": "How do I remember more of what I study without just rereading it?", "canonical_url": "https://brali-lifeos.github.io/problems/remember-what-you-study/", "best_fit": { "canonical_id": "brali:protocol:active-recall-test-yourself", "slug": "active-recall-test-yourself", "title": "Active Recall: Close the Notes and Make Memory Work", "when": "You need to retain learned information and can verify attempted answers soon after retrieval.", "why": "Retrieval practice directly tests whether information can be produced without the source and exposes misses for correction.", "caveat": "Later remembering is not the same as application, judgment, fluent production, or procedural competence.", "first_action": "Choose three to five things you genuinely need to remember, close the source, and try to produce the first answer before looking.", "evidence_state": "reviewed" }, "alternatives": [ { "canonical_id": "brali:protocol:avoid-list-interference-memory-retention", "slug": "avoid-list-interference-memory-retention", "title": "Try Quiet Wakeful Rest After Learning", "when": "You just finished a memory-heavy learning episode and a brief quiet low-interference pause is safe and practical.", "why": "Wakeful rest is a bounded optional experiment for declarative retention after learning, not another input-heavy study step.", "caveat": "Effects are heterogeneous; do not generalize it to comprehension or skill, and do not treat ten minutes or a ritual as a universal dose.", "first_action": "After one memory-heavy learning episode, put the material away and spend a brief period awake with relatively little new cognitive input before switching to another demanding task.", "evidence_state": "reviewed" }, { "canonical_id": "brali:protocol:weekly-theme-learning-sprints", "slug": "weekly-theme-learning-sprints", "title": "Spend Each Week Focused on a Single Theme", "when": "The bigger problem is scattered practice across too many subjects rather than retrieval itself.", "why": "A narrow weekly target creates repeated practice opportunities and a visible artifact without requiring a large learning system.", "caveat": "The weekly frame organizes practice; it does not prove durable retention or mastery.", "first_action": "Choose one narrow learning theme and one visible end-of-week artifact, then make the first small practice attempt before collecting more resources.", "evidence_state": "practical" } ], "stop_rule": "When recall becomes reliable but real application remains weak, change the practice target instead of adding more recall repetitions by default." }, "evidence_decisions": [ { "id": "distributed-practice-verbal-recall-boundary-2006", "decision": "support-existing", "reviewed_at": "2026-08-22", "source_title": "Distributed practice in verbal recall tasks: A review and quantitative synthesis", "source_url": "https://doi.org/10.1037/0033-2909.132.3.354", "supported_claim": "For verbal material measured by later recall, separating repeated study episodes by a meaningful interval generally supports better retention than concentrating the same material into massed study. The spacing associated with the best later recall tended to increase as the intended retention interval increased. For material that must be retained over months or years, the reviewed evidence supports distributing study across days or longer rather than completing all review in one sitting or one day. These findings justify the rewritten Brali action only within a verbal-recall boundary and without one universal schedule.", "unsupported_or_overstated_claims": [ "One fixed daily, weekly or software-generated interval is optimal for all material and retention targets.", "Twenty minutes every day is superior to two hours in one sitting by a specific ratio.", "An 85 to 90 percent retrieval-success threshold identifies the correct next interval.", "Expanding intervals are reliably superior to fixed intervals; the review described the available evidence as limited, variable and insufficient for that conclusion.", "Longer spacing is always better; the review found that intervals can become too long and that the useful interval depends on the retention target.", "The source identifies testing, feedback or deliberate recall attempts as the causal mechanism of the spacing effect.", "The source establishes consolidation windows, neuroplasticity, reconsolidation or another biological mechanism for the public protocol.", "The result extends beyond later verbal recall to complex skills, problem solving, creative work, workplace performance or broader transfer outcomes.", "A spaced schedule guarantees durable memory for an individual learner.", "Children's long-term retention over months or years is established with the same confidence as the young-adult evidence.", "Daily streaks, adherence scores, AI coaching or app reminders are evidence-supported components of distributed practice." ], "limitations": [ "The synthesis was restricted to verbal memory tasks measured by recall and deliberately excluded recognition, frequency judgments and the heterogeneous skill-learning literature.", "The evidence base was dominated by young adults; the authors reported very little middle-aged and older-adult evidence and insufficient long-term child data for confident generalization.", "Many studies did not report the variance data needed for effect-size calculation, so several analyses relied on accuracy differences and included fewer effect-size estimates.", "Published null findings may be underrepresented because of the file-drawer problem.", "Study materials, presentation schedules, retention intervals and experimental procedures varied substantially.", "Some historical studies confounded longer spacing with more relearning trials; the review examined this problem but could not remove every design limitation from the literature.", "Binning inter-study and retention intervals supported broad patterns but reduced the ability to recommend exact intervals.", "The useful interval depends jointly on spacing and the later retention target, and the authors stated that exact long-term optimization could not be specified with certainty.", "Evidence comparing expanding and fixed schedules was sparse and inconsistent, with large between-study variability.", "The synthesis addresses later recall, not broader comprehension, transfer, motivation, study adherence or real-world performance.", "The review was published in 2006 and should be rechecked against newer syntheses before adding more precise scheduling claims." ] }, { "id": "genai-learning-augmentation-boundary-2026", "decision": "support-existing", "reviewed_at": "2026-09-05", "source_title": "Evidence of impact and interpretational limits of generative AI in STEM education: a systematic review and meta-analysis on cognitive learning outcomes", "source_url": "https://link.springer.com/article/10.1007/s10462-026-11665-9", "supported_claim": "Brali should not treat generative AI as a learning intervention by itself. In this highly heterogeneous literature, the apparent positive pooled effect did not survive robust publication-bias correction, while more informative moderator evidence suggested that outcomes depend partly on what cognitive work the learner still performs. This supports the existing human-first AI collaboration principle in learning contexts: preserve a meaningful learner attempt, explanation, retrieval, reasoning or verification step and use AI to extend or refine that activity rather than silently replacing the activity being learned.", "unsupported_or_overstated_claims": [ "Generative AI has been shown to improve STEM learning overall.", "Human-first AI workflows are proven superior for every learning task; the review compared heterogeneous instructional designs rather than one canonical Brali workflow.", "AI substitution is always harmful or augmentation is always beneficial.", "The meta-analysis establishes an optimal prompt, model, tutoring script, feedback style or amount of AI assistance.", "Knowledge outcomes are universally improved while skill outcomes are not; substantial residual heterogeneity remained within categories.", "A large effect reported in an individual AI-learning study should be assumed causal when intervention and control groups performed different levels of cognitive activity.", "The findings establish long-term skill retention, transfer to real work, or independent performance after AI is removed.", "The results generalize unchanged beyond STEM education." ], "limitations": [ "Between-study heterogeneity was extreme (I²=96.32%), and the prediction interval included negative, null and strongly positive true effects.", "Funnel-plot asymmetry and the Robust Bayesian Meta-Analysis indicated substantial publication bias; after correction the evidence favored no stable overall positive or negative main effect.", "The review's risk-of-bias assessment found high risk across included studies, with no study meeting the low-risk criteria.", "Many studies used cognitively incomparable intervention and control conditions; the authors identified numerous apparently large effects where this comparison problem was present.", "Most studies used text-based systems and many were conducted in higher education, limiting generalization to other learners, modalities and tasks.", "AI literacy, metacognitive skill, delegation behavior, prompt quality and verification behavior were often underreported, leaving important mechanisms unresolved.", "Evidence about learner challenges and instructional supports was sparse and inconsistently reported, so those qualitative findings should not be turned into general effect estimates.", "Moderator patterns explained only part of the heterogeneity and did not produce a sufficient if-then configuration that guaranteed large effects." ] }, { "id": "prequestions-targeted-learning-boundary-2025", "decision": "propose-protocol", "reviewed_at": "2026-09-15", "source_title": "The Effect of Prequestions on Learning: A Multilevel Meta-Analysis", "source_url": "https://doi.org/10.1007/s10648-025-10075-7", "supported_claim": "Prequestions can improve later learning of the specific information they target. The meta-analysis reported g = 0.66 for prequestioned information and g = 0.01 for non-prequestioned information; feedback alongside prequestions was associated with stronger targeted learning.", "unsupported_or_overstated_claims": [ "Prequestions improve learning of the entire lesson.", "Any question asked before learning will be beneficial.", "There is one evidence-backed optimal number of prequestions.", "A wrong first answer is itself sufficient without later exposure or correction.", "Prequestions replace retrieval practice, practice problems, or feedback after learning." ], "limitations": [ "The average benefit is specific to prequestioned information rather than a broad benefit to all content.", "The meta-analysis does not establish one universal question count, timing rule, or content format.", "Effect sizes summarize heterogeneous studies and do not guarantee the same result for an individual learning session." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:stress-rumination-reset", "slug": "stress-rumination-reset", "acquisition_cluster_id": "stress-rumination-reset", "title": "Reset when stress turns into a repeating worry loop", "question": "What can I do when I keep replaying a worry after a stressful period?", "aliases": [ "stop replaying a worry", "reset after a stressful workday", "interrupt a rumination loop" ], "summary": "Separate useful action from uncertain outcomes, then use a low-risk change of context when more thinking is no longer producing a next step.", "canonical_url": "https://brali-lifeos.github.io/problems/stress-rumination-reset/", "json_url": "https://brali-lifeos.github.io/problems/stress-rumination-reset/index.json", "query_url": "/for-ai/query/?q=I%20keep%20replaying%20a%20worry%20after%20a%20stressful%20day%20and%20need%20a%20simple%20reset", "related_url": "/topics/stress/", "topics": [ { "id": "stress-regulation", "title": "Stress Regulation", "canonical_id": "brali:topic:stress-regulation" }, { "id": "worry-rumination", "title": "Worry & Rumination", "canonical_id": "brali:topic:worry-rumination" }, { "id": "emotion-regulation", "title": "Emotion Regulation", "canonical_id": "brali:topic:emotion-regulation" } ], "related_topics": [ { "id": "decision-making", "title": "Decision Making", "canonical_id": "brali:topic:decision-making" } ], "decision_path": [ { "if": "The worry contains a concrete controllable action", "try": "Write the action down and separate it from the outcome you cannot guarantee." }, { "if": "The remaining uncertainty depends on other people or events", "try": "Choose whether to monitor, prepare a fallback, ask for help, escalate, or deliberately wait." }, { "if": "There is no useful action right now and movement is safe", "try": "Use a brief walk or another ordinary change of context, then check whether you are ready to return to the next task." } ], "stop_rule": "Persistent, severe, or functionally impairing stress is not a signal to keep optimizing self-help protocols; use appropriate professional support when the situation requires it.", "protocols": [ { "canonical_id": "brali:protocol:circles-of-control-planner", "slug": "circles-of-control-planner", "url": "https://brali-lifeos.github.io/life-os/circles-of-control-planner/", "title": "Separate Outcomes From Actions You Can Control", "description": "Draw two circles; one for factors you can control and another for those you cannot. Set clear, achievable goals based on what’s within your control.", "action": "Write down one concern, separate the outcome from the actions you can take, convert anything you can influence into one concrete behavior, and choose the next useful action without pretending you control the final result.", "check_in": "What part of this situation was actually mine to act on, what remained outside my control, and did the sorting help me choose a clearer next step?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "decision-making", "stress-regulation" ], "is_flagship_100": true, "fit": "best-fit", "when": "The worry is being fueled by an uncertain result that depends partly on other people or external events.", "why": "The protocol separates observable actions from outcomes that can only be influenced or monitored, which can expose whether more rumination is producing any useful behavior.", "caveat": "Do not turn uncontrollable structural or safety constraints into self-blame, and do not use acceptance language to suppress escalation or support-seeking.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write one concern, separate the uncertain outcome from your own observable actions, and choose the smallest useful behavior you can take without pretending it guarantees the result.", "observable_signal": "Whether the user can distinguish an outcome from a behavior, name one real controllable action, and decide what to do with remaining uncertainty without claiming control over the final result.", "eligibility": [ "The user can name one ordinary concern and identify at least one observable action that is genuinely under their control.", "Separating outcome from behavior would help allocate effort without denying that external factors still matter.", "The situation is low-risk enough for a self-guided planning exercise and does not require immediate crisis, legal, medical, safety, or other professional intervention." ], "when_not_to_use": [ "Do not use the framework to blame a person for structural constraints, discrimination, coercion, unsafe conditions, missing resources, or another external barrier.", "Do not relabel an outcome as controllable simply because the user can influence its probability.", "Do not use acceptance language to discourage monitoring, support-seeking, escalation, advocacy, contingency planning, or other appropriate responses to external risk." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical action-allocation reflection. Brali does not attach reviewed evidence that drawing control circles, using this wording, or this exact sequence reliably reduces stress or improves decision quality.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:10-minute-stress-walk", "slug": "10-minute-stress-walk", "url": "https://brali-lifeos.github.io/life-os/10-minute-stress-walk/", "title": "Take a Short Walk When Stress Builds", "description": "Whenever stress hits, take a quick 10-minute walk—whether it’s outside, around a park, or just circling your office.", "action": "When stress is building, consider a short, comfortable walk if walking is safe and practical for you. Treat ten minutes as a convenient boundary, not a medically proven dose. If a greener route is just as easy and safe, prefer it as a reasonable experiment rather than making a special trip. Then notice whether you feel any different before returning to the next task.", "check_in": "Did I take the walk? Was the route ordinary or relatively green? How did my stress or tension feel before and after, and did I return more able to continue the next task?", "evidence": { "status": "reviewed", "source_recorded": true, "source_url": "https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2026.1802759/full", "reviewed_at": "2026-08-18" }, "topic_ids": [ "stress-regulation", "movement" ], "is_flagship_100": true, "fit": "alternative", "when": "There is no more useful analysis to do right now and a safe short walk is practical.", "why": "A simple movement-and-context change can serve as a bounded general-wellbeing reset before returning to the next task.", "caveat": "It is not treatment for anxiety, depression, severe stress, or another condition, and no exact duration guarantees relief.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "When stress builds, choose a safe familiar place and take a comfortable short walk if walking is appropriate for you, treating ten minutes only as a convenient boundary.", "observable_signal": "Whether the walk happened safely, whether the user's stress or tension felt different afterward, and whether the practice remains useful enough to repeat without replacing appropriate care.", "eligibility": [ "Walking is safe and practical for the user in the current setting and circumstances.", "The user is looking for a small general-wellbeing reset rather than diagnosis or treatment of a mental-health condition.", "The user can notice a simple before-and-after subjective signal without treating one walk as proof of causality." ], "when_not_to_use": [ "Do not use the protocol when walking is medically inappropriate, unsafe in the current environment, or would interfere with an immediate duty that requires attention.", "Do not present a ten-minute walk as treatment for depression, anxiety, severe stress, or another condition, or as a substitute for appropriate professional support.", "Do not prescribe a pace, heart-rate target, step count, breathing ratio, calorie goal, or ten-minute duration as a universal therapeutic dose." ], "evidence_boundary": { "status": "reviewed", "statement": "WHO guidance on stress includes regular exercise, including walking, among strategies that can help reduce stress, and WHO physical-activity guidance recognizes walking as physical activity that can support health and wellbeing. These sources do not establish ten minutes as a universal therapeutic dose or guarantee an immediate stress reduction for every person, so Brali keeps the action as a bounded general-wellbeing option.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:stress-rumination-reset", "problem": "What can I do when I keep replaying a worry after a stressful period?", "canonical_url": "https://brali-lifeos.github.io/problems/stress-rumination-reset/", "best_fit": { "canonical_id": "brali:protocol:circles-of-control-planner", "slug": "circles-of-control-planner", "title": "Separate Outcomes From Actions You Can Control", "when": "The worry is being fueled by an uncertain result that depends partly on other people or external events.", "why": "The protocol separates observable actions from outcomes that can only be influenced or monitored, which can expose whether more rumination is producing any useful behavior.", "caveat": "Do not turn uncontrollable structural or safety constraints into self-blame, and do not use acceptance language to suppress escalation or support-seeking.", "first_action": "Write one concern, separate the uncertain outcome from your own observable actions, and choose the smallest useful behavior you can take without pretending it guarantees the result.", "evidence_state": "practical" }, "alternatives": [ { "canonical_id": "brali:protocol:10-minute-stress-walk", "slug": "10-minute-stress-walk", "title": "Take a Short Walk When Stress Builds", "when": "There is no more useful analysis to do right now and a safe short walk is practical.", "why": "A simple movement-and-context change can serve as a bounded general-wellbeing reset before returning to the next task.", "caveat": "It is not treatment for anxiety, depression, severe stress, or another condition, and no exact duration guarantees relief.", "first_action": "When stress builds, choose a safe familiar place and take a comfortable short walk if walking is appropriate for you, treating ten minutes only as a convenient boundary.", "evidence_state": "reviewed" } ], "stop_rule": "Persistent, severe, or functionally impairing stress is not a signal to keep optimizing self-help protocols; use appropriate professional support when the situation requires it." }, "evidence_decisions": [ { "id": "ai-review-correction-friction-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Bias in the Loop: How Humans Evaluate AI-Generated Suggestions", "source_url": "https://hdsr.mitpress.mit.edu/pub/nrcn4h7d/release/2", "supported_claim": "When humans review AI-generated suggestions, the review interface itself can bias behavior. In this experiment, adding repair work to the act of rejecting an AI suggestion reduced correction activity and increased undercorrection. Brali can therefore justify a bounded workflow rule: make it cheap to flag or reject an AI output, and separate validation from repair when the repair burden would otherwise make acceptance the path of least resistance.", "unsupported_or_overstated_claims": [ "Making correction easier will always increase overall accuracy.", "People who distrust AI are universally better reviewers.", "Performance bonuses cannot improve AI review in other settings.", "The same effect size applies to expert, medical, legal, financial, or safety-critical review.", "A human-in-the-loop label by itself guarantees reliable oversight.", "AI suggestions should be hidden from reviewers." ], "limitations": [ "The experiment used crowdworkers rather than domain experts.", "The task was limited to ten greenhouse-gas reporting tables and one pre-annotation workflow.", "Several difficult items required domain knowledge that many annotators lacked.", "The randomized correction-burden manipulation changed correction behavior, but the regression analysis did not show a clear overall accuracy loss because overcorrections also decreased.", "AI attitudes predicted behavior observationally rather than through randomized manipulation.", "The study did not include a no-AI baseline and could not analyze item-order effects." ] }, { "id": "ai-structured-intake-human-judgment-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews", "source_url": "https://arxiv.org/html/2607.28222", "supported_claim": "A defensible way to divide some repetitive high-volume workflows is to automate structured information collection while keeping consequential evaluation with a human. In this field experiment, that division improved several downstream hiring outcomes without a measured decline in worker productivity. Transcript evidence is consistent with greater standardization and comparability as a mechanism, but does not prove that mechanism independently. Brali should treat this as a task-allocation pattern to test, not as evidence that AI should make final hiring or other high-stakes decisions.", "unsupported_or_overstated_claims": [ "AI interviewers are generally better than human interviewers.", "AI should make final hiring decisions.", "The result generalizes to specialized, relationship-heavy, tacit-knowledge, executive, clinical, legal, or other high-stakes work.", "Automating information collection removes discrimination or guarantees fairness.", "The same voice-AI system will produce the same results in other firms, languages, cultures, or labor markets.", "Human oversight automatically prevents automation bias.", "The controlled-variance mechanism is causally proven by the experiment." ], "limitations": [ "The source is a working paper rather than a peer-reviewed journal article.", "The experiment was conducted with one recruitment-process outsourcing firm and entry-level customer-service hiring in the Philippines.", "Five percent of AI interviews ended because applicants were unwilling to continue with AI and seven percent experienced technical failure.", "The transcript-based mechanism analysis is associative even though interviewer assignment was randomized.", "The candidate-experience survey had a low response rate and may not represent all applicants.", "Applicants who were allowed to choose showed negative sorting into AI, limiting interpretation of the choice condition.", "Employment selection has legal, fairness, accessibility, and accountability requirements that this study does not resolve." ] }, { "id": "consider-opposite-social-judgment-boundary-1984", "decision": "propose-protocol", "reviewed_at": "2026-09-11", "source_title": "Considering the opposite: A corrective strategy for social judgment", "source_url": "https://doi.org/10.1037/0022-3514.47.6.1231", "supported_claim": "When a judgment is vulnerable to one-sided evidence processing, deliberately generating an opposed possibility can reduce bias on some tasks more effectively than simply telling oneself to be fair or unbiased. Brali can use this as a concrete pre-decision check while preserving the possibility that the original conclusion remains correct.", "unsupported_or_overstated_claims": [ "Consider-the-opposite eliminates confirmation bias.", "The technique transfers automatically to every real-world decision.", "The opposite conclusion should be preferred once generated.", "More counterarguments are always better.", "The strategy should be used for every trivial or reversible choice." ], "limitations": [ "Classic laboratory/social-judgment evidence from undergraduate samples.", "Only two focal task domains were tested in the original article.", "Long-term persistence and broad transfer were not established.", "The authors note that considering the opposite can in some circumstances overweight disconfirming evidence and create a different form of partiality.", "Demand characteristics and task-specific effects remain possible." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:decision-under-uncertainty", "slug": "decision-under-uncertainty", "acquisition_cluster_id": "decision-under-uncertainty", "title": "Make a bounded decision when the outcome is uncertain", "question": "How do I make a useful decision when I cannot know the outcome in advance?", "aliases": [ "make a decision under uncertainty", "separate control from influence", "test an assumption before committing" ], "summary": "Separate controllable action from uncertain outcomes, then test assumptions cheaply when the decision is reversible and safe enough to learn by doing.", "canonical_url": "https://brali-lifeos.github.io/problems/decision-under-uncertainty/", "json_url": "https://brali-lifeos.github.io/problems/decision-under-uncertainty/index.json", "query_url": "/for-ai/query/?q=How%20do%20I%20make%20a%20decision%20under%20uncertainty%20and%20test%20assumptions%20before%20committing%20too%20much%3F", "related_url": "/life-os/areas/work-money-strategy/", "topics": [ { "id": "decision-making", "title": "Decision Making", "canonical_id": "brali:topic:decision-making" }, { "id": "critical-thinking", "title": "Critical Thinking", "canonical_id": "brali:topic:critical-thinking" } ], "related_topics": [ { "id": "cognitive-biases", "title": "Cognitive Biases", "canonical_id": "brali:topic:cognitive-biases" }, { "id": "work-systems", "title": "Work Systems", "canonical_id": "brali:topic:work-systems" } ], "decision_path": [ { "if": "You are treating an outcome as controllable", "try": "Separate your behavior from what depends on other people, chance, timing, or external conditions." }, { "if": "One explanation is driving the decision", "try": "State it as a hypothesis and write what evidence would make you keep or reject it." }, { "if": "Two options are cheap and reversible", "try": "Compare them against one pre-declared outcome without pretending a small informal test proves causality." } ], "stop_rule": "Do not run casual experiments when the test itself can create material health, safety, legal, financial, privacy, security, or production risk. Escalate the decision method when the stakes require stronger evidence.", "protocols": [ { "canonical_id": "brali:protocol:circles-of-control-planner", "slug": "circles-of-control-planner", "url": "https://brali-lifeos.github.io/life-os/circles-of-control-planner/", "title": "Separate Outcomes From Actions You Can Control", "description": "Draw two circles; one for factors you can control and another for those you cannot. Set clear, achievable goals based on what’s within your control.", "action": "Write down one concern, separate the outcome from the actions you can take, convert anything you can influence into one concrete behavior, and choose the next useful action without pretending you control the final result.", "check_in": "What part of this situation was actually mine to act on, what remained outside my control, and did the sorting help me choose a clearer next step?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "decision-making", "stress-regulation" ], "is_flagship_100": true, "fit": "best-fit", "when": "The decision feels stuck because controllable actions and uncertain outcomes are mixed together.", "why": "Separating control, influence, monitoring, and uncertainty creates a cleaner action boundary before choosing a test or commitment.", "caveat": "The boundary can change over time and must not be used to dismiss structural constraints, risk, or legitimate escalation.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write one concern, separate the uncertain outcome from your own observable actions, and choose the smallest useful behavior you can take without pretending it guarantees the result.", "observable_signal": "Whether the user can distinguish an outcome from a behavior, name one real controllable action, and decide what to do with remaining uncertainty without claiming control over the final result.", "eligibility": [ "The user can name one ordinary concern and identify at least one observable action that is genuinely under their control.", "Separating outcome from behavior would help allocate effort without denying that external factors still matter.", "The situation is low-risk enough for a self-guided planning exercise and does not require immediate crisis, legal, medical, safety, or other professional intervention." ], "when_not_to_use": [ "Do not use the framework to blame a person for structural constraints, discrimination, coercion, unsafe conditions, missing resources, or another external barrier.", "Do not relabel an outcome as controllable simply because the user can influence its probability.", "Do not use acceptance language to discourage monitoring, support-seeking, escalation, advocacy, contingency planning, or other appropriate responses to external risk." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical action-allocation reflection. Brali does not attach reviewed evidence that drawing control circles, using this wording, or this exact sequence reliably reduces stress or improves decision quality.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:start-with-a-hypothesis", "slug": "start-with-a-hypothesis", "url": "https://brali-lifeos.github.io/life-os/start-with-a-hypothesis/", "title": "When Faced with a Problem, Start by Making an Educated Guess About the Cause", "description": "When faced with a problem, start by making an educated guess about the cause. Write down your hypothesis and what you expect to happen if it’s true.", "action": "When a work problem is unclear, write one plausible explanation, state what you would expect to observe if it were true, run the smallest safe check that could change your mind, and update the hypothesis from the result.", "check_in": "What did I expect to observe, what actually happened, and what changed in my explanation after the test?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "problem-solving", "critical-thinking" ], "is_flagship_100": true, "fit": "alternative", "when": "You have a plausible explanation for an unclear work problem and can check it with a small reversible observation or test.", "why": "A hypothesis plus a prediction makes disconfirming evidence visible and reduces random switching between theories and fixes.", "caveat": "Do not experiment casually in consequential systems and do not treat the first plausible explanation as a conclusion.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write the observable problem separately from your explanation, then write one plausible hypothesis and one concrete pattern you would expect to see if it were useful.", "observable_signal": "Whether the problem, hypothesis, prediction, and observation were kept distinct and whether the result actually caused the explanation or next check to change when evidence disagreed.", "eligibility": [ "The problem can be described through observable facts and at least one plausible explanation can be checked without creating disproportionate risk.", "The user can state a prediction that would differ depending on whether the hypothesis is useful.", "A small reversible check, sample, comparison, log inspection, or safe reproduction can meaningfully update the explanation." ], "when_not_to_use": [ "Do not experiment casually on production, people, finances, safety, security, health, legal obligations, or other consequential systems when the test itself could create material harm.", "Do not treat the first plausible explanation as a conclusion; a hypothesis should make it easier to notice disconfirming evidence, not rationalize it away.", "Do not infer causality from a tiny exploratory check when the final decision requires stronger validation, controls, expert review, or a formal incident process." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical reasoning and troubleshooting template. Brali does not currently attach reviewed evidence claiming that this exact sequence reduces incident time, improves diagnosis by a predictable amount, or provides a statistical test of causality.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:ab-test-learning-loop", "slug": "ab-test-learning-loop", "url": "https://brali-lifeos.github.io/life-os/ab-test-learning-loop/", "title": "Compare Two Approaches and Learn From the Result", "description": "When a decision is reversible, compare two approaches around one clear question, keep the outcome you care about visible, and avoid treating a tiny informal comparison as statistical proof.", "action": "Choose one reversible decision, define what you want to learn, compare two approaches as fairly as you can, and record the outcome before deciding what to try next. Use proper experimental design when the result needs statistical confidence.", "check_in": "What changed between the two approaches, what outcome did I observe, and is the evidence strong enough to act or only strong enough to suggest another test?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "problem-solving", "decision-making", "data-literacy" ], "is_flagship_100": true, "fit": "alternative", "when": "Two approaches are both plausible, the choice is low-risk and reversible, and one observable outcome can be declared before comparing them.", "why": "A bounded comparison can generate a useful local signal for a cheap next decision.", "caveat": "An informal comparison is not a randomized controlled experiment and does not establish statistical confidence, causality, or generalizability.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Choose one reversible decision, write what you want to learn and the outcome you will inspect, then define versions A and B so one main difference is visible.", "observable_signal": "Whether the question and outcome were defined in advance, one main difference was interpretable, the observed result was recorded honestly, and the user can distinguish a tentative signal from stronger evidence.", "eligibility": [ "The decision is reversible or low-risk enough that trying two approaches does not create disproportionate harm.", "The user can state one clear question and one outcome that matters before observing the result.", "The comparison can keep major surrounding conditions reasonably similar or can explicitly record when they differ." ], "when_not_to_use": [ "Do not run informal experiments on people, production systems, health, safety, security, finances, legal obligations, privacy, or other consequential settings when the test itself can create material harm or requires approval.", "Do not call a small uncontrolled comparison a randomized A/B test or use it to claim statistical confidence, causality, or generalizability.", "Do not change the outcome measure after seeing which version looks better without clearly marking the analysis as exploratory." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical compare-and-learn template. Brali does not claim that an informal two-version comparison establishes causality, statistical significance, a generalizable winner, or an evidence-backed optimal test design.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:decision-under-uncertainty", "problem": "How do I make a useful decision when I cannot know the outcome in advance?", "canonical_url": "https://brali-lifeos.github.io/problems/decision-under-uncertainty/", "best_fit": { "canonical_id": "brali:protocol:circles-of-control-planner", "slug": "circles-of-control-planner", "title": "Separate Outcomes From Actions You Can Control", "when": "The decision feels stuck because controllable actions and uncertain outcomes are mixed together.", "why": "Separating control, influence, monitoring, and uncertainty creates a cleaner action boundary before choosing a test or commitment.", "caveat": "The boundary can change over time and must not be used to dismiss structural constraints, risk, or legitimate escalation.", "first_action": "Write one concern, separate the uncertain outcome from your own observable actions, and choose the smallest useful behavior you can take without pretending it guarantees the result.", "evidence_state": "practical" }, "alternatives": [ { "canonical_id": "brali:protocol:start-with-a-hypothesis", "slug": "start-with-a-hypothesis", "title": "When Faced with a Problem, Start by Making an Educated Guess About the Cause", "when": "You have a plausible explanation for an unclear work problem and can check it with a small reversible observation or test.", "why": "A hypothesis plus a prediction makes disconfirming evidence visible and reduces random switching between theories and fixes.", "caveat": "Do not experiment casually in consequential systems and do not treat the first plausible explanation as a conclusion.", "first_action": "Write the observable problem separately from your explanation, then write one plausible hypothesis and one concrete pattern you would expect to see if it were useful.", "evidence_state": "practical" }, { "canonical_id": "brali:protocol:ab-test-learning-loop", "slug": "ab-test-learning-loop", "title": "Compare Two Approaches and Learn From the Result", "when": "Two approaches are both plausible, the choice is low-risk and reversible, and one observable outcome can be declared before comparing them.", "why": "A bounded comparison can generate a useful local signal for a cheap next decision.", "caveat": "An informal comparison is not a randomized controlled experiment and does not establish statistical confidence, causality, or generalizability.", "first_action": "Choose one reversible decision, write what you want to learn and the outcome you will inspect, then define versions A and B so one main difference is visible.", "evidence_state": "practical" } ], "stop_rule": "Do not run casual experiments when the test itself can create material health, safety, legal, financial, privacy, security, or production risk. Escalate the decision method when the stakes require stronger evidence." }, "evidence_decisions": [ { "id": "ai-review-correction-friction-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Bias in the Loop: How Humans Evaluate AI-Generated Suggestions", "source_url": "https://hdsr.mitpress.mit.edu/pub/nrcn4h7d/release/2", "supported_claim": "When humans review AI-generated suggestions, the review interface itself can bias behavior. In this experiment, adding repair work to the act of rejecting an AI suggestion reduced correction activity and increased undercorrection. Brali can therefore justify a bounded workflow rule: make it cheap to flag or reject an AI output, and separate validation from repair when the repair burden would otherwise make acceptance the path of least resistance.", "unsupported_or_overstated_claims": [ "Making correction easier will always increase overall accuracy.", "People who distrust AI are universally better reviewers.", "Performance bonuses cannot improve AI review in other settings.", "The same effect size applies to expert, medical, legal, financial, or safety-critical review.", "A human-in-the-loop label by itself guarantees reliable oversight.", "AI suggestions should be hidden from reviewers." ], "limitations": [ "The experiment used crowdworkers rather than domain experts.", "The task was limited to ten greenhouse-gas reporting tables and one pre-annotation workflow.", "Several difficult items required domain knowledge that many annotators lacked.", "The randomized correction-burden manipulation changed correction behavior, but the regression analysis did not show a clear overall accuracy loss because overcorrections also decreased.", "AI attitudes predicted behavior observationally rather than through randomized manipulation.", "The study did not include a no-AI baseline and could not analyze item-order effects." ] }, { "id": "ai-structured-intake-human-judgment-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews", "source_url": "https://arxiv.org/html/2607.28222", "supported_claim": "A defensible way to divide some repetitive high-volume workflows is to automate structured information collection while keeping consequential evaluation with a human. In this field experiment, that division improved several downstream hiring outcomes without a measured decline in worker productivity. Transcript evidence is consistent with greater standardization and comparability as a mechanism, but does not prove that mechanism independently. Brali should treat this as a task-allocation pattern to test, not as evidence that AI should make final hiring or other high-stakes decisions.", "unsupported_or_overstated_claims": [ "AI interviewers are generally better than human interviewers.", "AI should make final hiring decisions.", "The result generalizes to specialized, relationship-heavy, tacit-knowledge, executive, clinical, legal, or other high-stakes work.", "Automating information collection removes discrimination or guarantees fairness.", "The same voice-AI system will produce the same results in other firms, languages, cultures, or labor markets.", "Human oversight automatically prevents automation bias.", "The controlled-variance mechanism is causally proven by the experiment." ], "limitations": [ "The source is a working paper rather than a peer-reviewed journal article.", "The experiment was conducted with one recruitment-process outsourcing firm and entry-level customer-service hiring in the Philippines.", "Five percent of AI interviews ended because applicants were unwilling to continue with AI and seven percent experienced technical failure.", "The transcript-based mechanism analysis is associative even though interviewer assignment was randomized.", "The candidate-experience survey had a low response rate and may not represent all applicants.", "Applicants who were allowed to choose showed negative sorting into AI, limiting interpretation of the choice condition.", "Employment selection has legal, fairness, accessibility, and accountability requirements that this study does not resolve." ] }, { "id": "consider-opposite-social-judgment-boundary-1984", "decision": "propose-protocol", "reviewed_at": "2026-09-11", "source_title": "Considering the opposite: A corrective strategy for social judgment", "source_url": "https://doi.org/10.1037/0022-3514.47.6.1231", "supported_claim": "When a judgment is vulnerable to one-sided evidence processing, deliberately generating an opposed possibility can reduce bias on some tasks more effectively than simply telling oneself to be fair or unbiased. Brali can use this as a concrete pre-decision check while preserving the possibility that the original conclusion remains correct.", "unsupported_or_overstated_claims": [ "Consider-the-opposite eliminates confirmation bias.", "The technique transfers automatically to every real-world decision.", "The opposite conclusion should be preferred once generated.", "More counterarguments are always better.", "The strategy should be used for every trivial or reversible choice." ], "limitations": [ "Classic laboratory/social-judgment evidence from undergraduate samples.", "Only two focal task domains were tested in the original article.", "Long-term persistence and broad transfer were not established.", "The authors note that considering the opposite can in some circumstances overweight disconfirming evidence and create a different form of partiality.", "Demand characteristics and task-specific effects remain possible." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." }, { "schema_version": 1, "updated_at": "2026-09-15", "canonical_id": "brali:problem:prevent-recurring-errors", "slug": "prevent-recurring-errors", "acquisition_cluster_id": "prevent-recurring-errors", "title": "Reduce preventable mistakes in recurring work", "question": "How do I stop the same type of work mistake from happening again?", "aliases": [ "stop making the same work mistakes", "reduce errors in a recurring process", "find why a repeated mistake keeps happening" ], "summary": "Turn a repeated mistake into an observable hypothesis, make the handoff or decision point clearer, and test a small process change before standardizing it.", "canonical_url": "https://brali-lifeos.github.io/problems/prevent-recurring-errors/", "json_url": "https://brali-lifeos.github.io/problems/prevent-recurring-errors/index.json", "query_url": "/for-ai/query/?q=I%20keep%20making%20the%20same%20work%20mistake.%20How%20can%20I%20find%20the%20cause%20and%20change%20the%20process%3F", "related_url": "/life-os/areas/work-money-strategy/", "topics": [ { "id": "error-prevention", "title": "Error Prevention", "canonical_id": "brali:topic:error-prevention" }, { "id": "work-systems", "title": "Work Systems", "canonical_id": "brali:topic:work-systems" } ], "related_topics": [ { "id": "critical-thinking", "title": "Critical Thinking", "canonical_id": "brali:topic:critical-thinking" }, { "id": "clear-communication", "title": "Clear Communication", "canonical_id": "brali:topic:clear-communication" } ], "decision_path": [ { "if": "You do not know where the error enters", "try": "State one testable explanation and identify the observation that would support or weaken it." }, { "if": "The error appears at a handoff", "try": "Check whether action, ownership, timing, location, reason, or process information is genuinely missing." }, { "if": "You have two plausible low-risk process changes", "try": "Compare them against one observable error or completion signal before standardizing either one." } ], "stop_rule": "When errors are safety-critical, regulated, security-sensitive, financial, medical, or otherwise consequential, use the required formal controls and qualified review rather than treating a lightweight self-experiment as sufficient.", "protocols": [ { "canonical_id": "brali:protocol:start-with-a-hypothesis", "slug": "start-with-a-hypothesis", "url": "https://brali-lifeos.github.io/life-os/start-with-a-hypothesis/", "title": "When Faced with a Problem, Start by Making an Educated Guess About the Cause", "description": "When faced with a problem, start by making an educated guess about the cause. Write down your hypothesis and what you expect to happen if it’s true.", "action": "When a work problem is unclear, write one plausible explanation, state what you would expect to observe if it were true, run the smallest safe check that could change your mind, and update the hypothesis from the result.", "check_in": "What did I expect to observe, what actually happened, and what changed in my explanation after the test?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "problem-solving", "critical-thinking" ], "is_flagship_100": true, "fit": "best-fit", "when": "The same failure repeats but the mechanism is still unclear and can be investigated safely.", "why": "The protocol converts a vague explanation into a prediction and a reversible check, which is more informative than cycling through fixes without a model.", "caveat": "A small check can update a hypothesis but does not prove causality, especially in complex or consequential systems.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write the observable problem separately from your explanation, then write one plausible hypothesis and one concrete pattern you would expect to see if it were useful.", "observable_signal": "Whether the problem, hypothesis, prediction, and observation were kept distinct and whether the result actually caused the explanation or next check to change when evidence disagreed.", "eligibility": [ "The problem can be described through observable facts and at least one plausible explanation can be checked without creating disproportionate risk.", "The user can state a prediction that would differ depending on whether the hypothesis is useful.", "A small reversible check, sample, comparison, log inspection, or safe reproduction can meaningfully update the explanation." ], "when_not_to_use": [ "Do not experiment casually on production, people, finances, safety, security, health, legal obligations, or other consequential systems when the test itself could create material harm.", "Do not treat the first plausible explanation as a conclusion; a hypothesis should make it easier to notice disconfirming evidence, not rationalize it away.", "Do not infer causality from a tiny exploratory check when the final decision requires stronger validation, controls, expert review, or a formal incident process." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical reasoning and troubleshooting template. Brali does not currently attach reviewed evidence claiming that this exact sequence reduces incident time, improves diagnosis by a predictable amount, or provides a statistical test of causality.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:5w1h-communication-checklist", "slug": "5w1h-communication-checklist", "url": "https://brali-lifeos.github.io/life-os/5w1h-communication-checklist/", "title": "Check Who, What, Where, When, Why, and How", "description": "Before an important operational message, check whether the reader has the people, action, place, timing, reason, and next-step details they actually need.", "action": "Review an important operational message using six questions: Who? What? Where? When? Why? How? Add only the missing details the reader needs to act, then send the shortest version that is still clear.", "check_in": "Could the reader act without guessing, and did I include any detail that was unnecessary or sensitive?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "clear-communication" ], "is_flagship_100": true, "fit": "alternative", "when": "The recurring mistake is caused by missing or ambiguous operational context at a message or handoff.", "why": "It checks the specific information needed to act without guessing while encouraging removal of unnecessary detail.", "caveat": "Checklist completion does not prove the underlying facts are correct or that the recipient understood them.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Write the action or outcome the reader needs first, then scan Who, What, Where, When, Why, and How and add only the missing details required to act without guessing.", "observable_signal": "Whether the recipient could identify the action, owner, relevant timing or location, and next step without avoidable clarification, while unnecessary or sensitive details stayed out.", "eligibility": [ "The message carries an operational request, handoff, meeting detail, decision, or other information where missing context could create delay or avoidable follow-up.", "The sender can identify the reader's actual next action and add only details required to make that action clear.", "Sensitive information can be omitted or moved to an appropriate channel rather than included merely to satisfy a checklist." ], "when_not_to_use": [ "Do not force all six labels into every message when shared context already makes some answers obvious.", "Do not add private, confidential, security-sensitive, or otherwise inappropriate detail merely to make the checklist look complete.", "Do not treat 5W1H as proof that a message is correct, persuasive, legally sufficient, or understood by the recipient." ], "evidence_boundary": { "status": "practical", "statement": "This is an operational clarity checklist. Brali does not attach reviewed evidence that the six questions, this order, or this message format produces a predictable improvement in communication outcomes.", "source_decision_ids": [] } } }, { "canonical_id": "brali:protocol:ab-test-learning-loop", "slug": "ab-test-learning-loop", "url": "https://brali-lifeos.github.io/life-os/ab-test-learning-loop/", "title": "Compare Two Approaches and Learn From the Result", "description": "When a decision is reversible, compare two approaches around one clear question, keep the outcome you care about visible, and avoid treating a tiny informal comparison as statistical proof.", "action": "Choose one reversible decision, define what you want to learn, compare two approaches as fairly as you can, and record the outcome before deciding what to try next. Use proper experimental design when the result needs statistical confidence.", "check_in": "What changed between the two approaches, what outcome did I observe, and is the evidence strong enough to act or only strong enough to suggest another test?", "evidence": { "status": "practical", "source_recorded": false, "source_url": null, "reviewed_at": "2026-08-18" }, "topic_ids": [ "problem-solving", "decision-making", "data-literacy" ], "is_flagship_100": true, "fit": "alternative", "when": "Two safe reversible process changes can be compared and one relevant outcome can be declared before observing results.", "why": "A bounded compare-and-learn loop can tell you whether one local change is promising enough for the next reversible step.", "caveat": "Do not call an informal small comparison statistically conclusive or use it for high-stakes changes without the design and approvals those changes require.", "gold_review": { "reviewed_at": "2026-09-15", "review_status": "gold-ready", "first_action": "Choose one reversible decision, write what you want to learn and the outcome you will inspect, then define versions A and B so one main difference is visible.", "observable_signal": "Whether the question and outcome were defined in advance, one main difference was interpretable, the observed result was recorded honestly, and the user can distinguish a tentative signal from stronger evidence.", "eligibility": [ "The decision is reversible or low-risk enough that trying two approaches does not create disproportionate harm.", "The user can state one clear question and one outcome that matters before observing the result.", "The comparison can keep major surrounding conditions reasonably similar or can explicitly record when they differ." ], "when_not_to_use": [ "Do not run informal experiments on people, production systems, health, safety, security, finances, legal obligations, privacy, or other consequential settings when the test itself can create material harm or requires approval.", "Do not call a small uncontrolled comparison a randomized A/B test or use it to claim statistical confidence, causality, or generalizability.", "Do not change the outcome measure after seeing which version looks better without clearly marking the analysis as exploratory." ], "evidence_boundary": { "status": "practical", "statement": "This is a practical compare-and-learn template. Brali does not claim that an informal two-version comparison establishes causality, statistical significance, a generalizable winner, or an evidence-backed optimal test design.", "source_decision_ids": [] } } } ], "answer_packet": { "schema_version": 1, "canonical_id": "brali:problem:prevent-recurring-errors", "problem": "How do I stop the same type of work mistake from happening again?", "canonical_url": "https://brali-lifeos.github.io/problems/prevent-recurring-errors/", "best_fit": { "canonical_id": "brali:protocol:start-with-a-hypothesis", "slug": "start-with-a-hypothesis", "title": "When Faced with a Problem, Start by Making an Educated Guess About the Cause", "when": "The same failure repeats but the mechanism is still unclear and can be investigated safely.", "why": "The protocol converts a vague explanation into a prediction and a reversible check, which is more informative than cycling through fixes without a model.", "caveat": "A small check can update a hypothesis but does not prove causality, especially in complex or consequential systems.", "first_action": "Write the observable problem separately from your explanation, then write one plausible hypothesis and one concrete pattern you would expect to see if it were useful.", "evidence_state": "practical" }, "alternatives": [ { "canonical_id": "brali:protocol:5w1h-communication-checklist", "slug": "5w1h-communication-checklist", "title": "Check Who, What, Where, When, Why, and How", "when": "The recurring mistake is caused by missing or ambiguous operational context at a message or handoff.", "why": "It checks the specific information needed to act without guessing while encouraging removal of unnecessary detail.", "caveat": "Checklist completion does not prove the underlying facts are correct or that the recipient understood them.", "first_action": "Write the action or outcome the reader needs first, then scan Who, What, Where, When, Why, and How and add only the missing details required to act without guessing.", "evidence_state": "practical" }, { "canonical_id": "brali:protocol:ab-test-learning-loop", "slug": "ab-test-learning-loop", "title": "Compare Two Approaches and Learn From the Result", "when": "Two safe reversible process changes can be compared and one relevant outcome can be declared before observing results.", "why": "A bounded compare-and-learn loop can tell you whether one local change is promising enough for the next reversible step.", "caveat": "Do not call an informal small comparison statistically conclusive or use it for high-stakes changes without the design and approvals those changes require.", "first_action": "Choose one reversible decision, write what you want to learn and the outcome you will inspect, then define versions A and B so one main difference is visible.", "evidence_state": "practical" } ], "stop_rule": "When errors are safety-critical, regulated, security-sensitive, financial, medical, or otherwise consequential, use the required formal controls and qualified review rather than treating a lightweight self-experiment as sufficient." }, "evidence_decisions": [ { "id": "ai-review-correction-friction-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Bias in the Loop: How Humans Evaluate AI-Generated Suggestions", "source_url": "https://hdsr.mitpress.mit.edu/pub/nrcn4h7d/release/2", "supported_claim": "When humans review AI-generated suggestions, the review interface itself can bias behavior. In this experiment, adding repair work to the act of rejecting an AI suggestion reduced correction activity and increased undercorrection. Brali can therefore justify a bounded workflow rule: make it cheap to flag or reject an AI output, and separate validation from repair when the repair burden would otherwise make acceptance the path of least resistance.", "unsupported_or_overstated_claims": [ "Making correction easier will always increase overall accuracy.", "People who distrust AI are universally better reviewers.", "Performance bonuses cannot improve AI review in other settings.", "The same effect size applies to expert, medical, legal, financial, or safety-critical review.", "A human-in-the-loop label by itself guarantees reliable oversight.", "AI suggestions should be hidden from reviewers." ], "limitations": [ "The experiment used crowdworkers rather than domain experts.", "The task was limited to ten greenhouse-gas reporting tables and one pre-annotation workflow.", "Several difficult items required domain knowledge that many annotators lacked.", "The randomized correction-burden manipulation changed correction behavior, but the regression analysis did not show a clear overall accuracy loss because overcorrections also decreased.", "AI attitudes predicted behavior observationally rather than through randomized manipulation.", "The study did not include a no-AI baseline and could not analyze item-order effects." ] }, { "id": "ai-structured-intake-human-judgment-boundary-2026", "decision": "propose-protocol", "reviewed_at": "2026-08-29", "source_title": "Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews", "source_url": "https://arxiv.org/html/2607.28222", "supported_claim": "A defensible way to divide some repetitive high-volume workflows is to automate structured information collection while keeping consequential evaluation with a human. In this field experiment, that division improved several downstream hiring outcomes without a measured decline in worker productivity. Transcript evidence is consistent with greater standardization and comparability as a mechanism, but does not prove that mechanism independently. Brali should treat this as a task-allocation pattern to test, not as evidence that AI should make final hiring or other high-stakes decisions.", "unsupported_or_overstated_claims": [ "AI interviewers are generally better than human interviewers.", "AI should make final hiring decisions.", "The result generalizes to specialized, relationship-heavy, tacit-knowledge, executive, clinical, legal, or other high-stakes work.", "Automating information collection removes discrimination or guarantees fairness.", "The same voice-AI system will produce the same results in other firms, languages, cultures, or labor markets.", "Human oversight automatically prevents automation bias.", "The controlled-variance mechanism is causally proven by the experiment." ], "limitations": [ "The source is a working paper rather than a peer-reviewed journal article.", "The experiment was conducted with one recruitment-process outsourcing firm and entry-level customer-service hiring in the Philippines.", "Five percent of AI interviews ended because applicants were unwilling to continue with AI and seven percent experienced technical failure.", "The transcript-based mechanism analysis is associative even though interviewer assignment was randomized.", "The candidate-experience survey had a low response rate and may not represent all applicants.", "Applicants who were allowed to choose showed negative sorting into AI, limiting interpretation of the choice condition.", "Employment selection has legal, fairness, accessibility, and accountability requirements that this study does not resolve." ] }, { "id": "communication-coaching-reflective-statements-boundary-2023", "decision": "challenge-existing", "reviewed_at": "2026-08-22", "source_title": "Effect of a Coaching Intervention to Improve Cardiologist Communication: A Randomized Clinical Trial", "source_url": "https://doi.org/10.1001/jamainternmed.2023.0629", "supported_claim": "A multicomponent individual coaching program changed some observed cardiologist communication behaviors, particularly empathic responses and eliciting patient questions. Reflective statements and open-ended questions were explicit trained components, but the intervention did not significantly increase either behavior relative to control. This source is therefore a boundary against claiming that training the Brali sequence by itself has demonstrated communication or patient-outcome effects.", "unsupported_or_overstated_claims": [ "The coaching trial shows that paraphrasing or reflective statements alone improved.", "The Brali sequence of paraphrase, correction and one open question is equivalent to the five-component WISER intervention.", "Active listening improved patient understanding, trust, satisfaction or clinical outcomes in this trial.", "Open-ended questions increased because of the coaching intervention.", "A single conversational attempt is equivalent to three individual coaching sessions with tailored feedback.", "The findings generalize directly from cardiology encounters to ordinary work, family, conflict or digital conversations.", "Patient self-reports confirmed an effect; ceiling effects prevented the planned arm comparison.", "Positive clinician opinions about the coaching demonstrate objective effectiveness of each component." ], "limitations": [ "Five communication skills were trained together, so any observed effect cannot be attributed to paraphrasing or open questions independently.", "There was no significant intervention-versus-control difference in reflective statements or open-ended questions.", "Patient-perceived communication and trust effects could not be assessed because scores had substantial ceiling effects.", "The sample included mostly White male cardiologists in an academic setting and many had prior communication training, limiting generalizability.", "Pre- and post-intervention patient samples were different rather than repeated measures on the same patients.", "The intervention required repeated one-to-one coaching and feedback, so it does not test a self-guided protocol used once.", "Clinical and longer-term outcomes were not established." ] } ], "trust_note": "Recommendations come only from protocols that are both trusted in the Brali Protocol Feed and manually Gold-ready. The problem-to-protocol fit is editorial decision logic; it is not a claim that one sequence is universally best." } ] }