Knowledge model
Canonical identity, ontology, evidence states, review queues, protocol feeds, and versioned datasets now give the library a machine-readable structure beyond individual pages.
monthly · month-to-date · 2026-08-01 to 2026-08-19
The August direction is consolidation: stronger quality boundaries, canonical Topics and Protocols, research decisions, machine-readable APIs, and practical ways for people and agents to retrieve the same knowledge.
Canonical identity, ontology, evidence states, review queues, protocol feeds, and versioned datasets now give the library a machine-readable structure beyond individual pages.
Selected high-risk or overclaimed inherited pages are being replaced by sourced or explicitly practical protocols, while research decisions record what a source does and does not establish.
Topic Hubs, a Query Playground, API surfaces, integration examples, reference agents, and MCP packaging now provide several paths into the same canonical knowledge.
The next growth layer favors useful question-led collections, fresh reports, research notes, and internal links over mass-produced pages targeting near-identical keyword variants.
Brali is changing quickly. A dated report makes additions, corrections, and platform work discoverable without pretending every code change deserves a standalone article.
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