How Project Brain Thinks
The mechanics chapter — how Project Brain is queried, how it composes context for every AI teammate, and how it stays consistent as the project evolves.
Load. Validate. Dedupe. Rank. Compress. Package. Cache. Every turn.
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The mechanics chapter — how Project Brain is queried, how it composes context for every AI teammate, and how it stays consistent as the project evolves.
Every serious AI application converges on the same requirement — memory that survives sessions, teammates, and models. Here's how CreateLixir does it.
The core chapter of the series — what Project Brain is, why it is the right shape for the problem, and how it differs from context injection, RAG, and long conversation history.
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