A demo public LLM context repository
A demonstration of how to structure a public context data repository for seeding LLM-based assistants with personal information.
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A demonstration of how to structure a public context data repository for seeding LLM-based assistants with personal information.
Using AI to brainstorm and seed personal context data stores that make LLM interactions exponentially more useful and personalised.
An architecture proposal for generating personalised AI context through deliberate interview-driven workflows rather than passive data collection.
A workflow for building personal context data stores using specialized AI agents that interview you and feed structured data into RAG pipelines.