Using AI · Growth Library
Use AI to Widen the Option Set, Not Make the Decision
Generate alternatives and counterarguments before applying your own criteria
Try this
Write your objective, constraints, and current leading option. Ask AI for materially different alternatives, missing criteria, and the strongest case against your favorite. Verify any external facts, then compare options using your own criteria and downside limits. Do not ask the model to hide the trade-off inside a single confident recommendation.
Check-in: Did AI reveal an option, criterion, or counterargument I had missed without becoming the authority that decides what I value?
Evidence: Reviewed · source
Review note: Reviewed against experimental evidence that people can over-rely on incorrect AI advice. The evidence is used to justify independent criteria and verification; high-stakes decision authority is explicitly excluded.
AI is often more useful as an opponent to premature closure than as a synthetic oracle. Ask it to make the decision harder in productive ways before you make it clearer.
1. Write your criteria first
Capture the objective, constraints, unacceptable downsides, and what matters most before seeing an AI recommendation. This reduces the temptation to retrofit your values to a fluent answer.
2. Expand the option set
Ask for alternatives that differ in mechanism, timing, reversibility, cost, or risk. Reject superficial rewordings.
3. Challenge the favorite
Ask what assumptions would make your preferred option fail and what evidence would favor another path. Treat claims as leads to verify.
4. Make the trade-off yourself
Compare verified options against the original criteria. Record why you chose one and what new information would make you reconsider.
Questions to consider
Why not ask AI which option is best?
Because the model may not know your real constraints, may invent supporting facts, and can sound persuasive when wrong. Use it to widen and challenge the decision, then make the trade-off explicit yourself.
When should I avoid this?
Do not use a general chatbot as the decision-maker for medical, legal, financial, safety-critical, employment, or other high-stakes choices that require qualified expertise or controlled evidence.
Sources
Evidence state: practical. Sources are provided so the underlying material can be inspected directly.
- Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task (DOI: 10.1038/s41598-024-60220-5 · preregistered experiments)
Supports: Participants could over-rely on incorrect AI advice, and explainability did not reliably remove that effect. The study supports keeping independent decision criteria and verification rather than treating fluent AI advice as authoritative.
Maintenance record
Review history
Current status: Reviewed. An editorial or evidence review is recorded and no later event changes that conclusion.
2026-09-15 · reviewed · Brali editorial agent Source: review-registry-using-ai-starters.json
Publish AI as an option-expansion and challenge mechanism with explicit high-stakes exclusions and independent verification, not as a decision authority.
Browse the review ledger · Challenge or update this hack
Implementation observations can trigger a review, but they cannot change an evidence conclusion by themselves. Commercial relationships do not control review status or outcomes.
Continue from here
Choose the next useful path.
Article versions
Brali keeps substantive article history visible. Later reviews may refresh wording, sources, examples, or boundaries without silently replacing the record.
- Version 2026-09-15: first recorded publication in the migrated Brali corpus.
- Evidence review 2026-09-15: reviewed by Brali editorial agent; evidence state is
reviewed.
Canonical source record · Evidence state: reviewed.