5 articles tagged Architecture.
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.
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.
A tour of the layers of memory Project Brain holds — identity, product, target users, architecture, design system, decisions, constraints, risks, and knowledge — and why each of them matters.
The Context Engine assembles every AI request from real project state — Brain, Architect, Team, conversation — into a provider-agnostic ContextPackage.
Every serious AI application converges on the same requirement — memory that survives sessions, teammates, and models. Here's how CreateLixir does it.