Why this exists

A knowledge base for the AI landscape

Built for writing and consulting: capture each AI subject once as a structured lead, then explore by topic, meaning, keyword, and a typed graph of ideas — so you can see what you've captured, where the gaps are, and which adjacent ideas are worth chasing. Read a generated report, spot a thread, add it as a new lead.

AboutPublic + admin surfaces
Why It Exists

Reduce repeated research; build durable memory

Instead of scattered notes, every subject becomes a comparable record you can search by text, meaning, and neighbourhood in embedding space — and now traverse as typed relationships between ideas. The result is a reusable substrate for writing and consulting: find what you know, surface contradictions and gaps, and follow tangents.

Embeddings show semantic neighbourhoods; the relationship registry and idea-graph add a graph of ideas on top — so "how are A and B connected?" becomes a real query.
What It Stores

Structured research briefs

A lead is a single researched AI subject — a company, model, API, paper, product, or notable person — readable for humans and useful for retrieval, ranking, embedding analysis, and idea-graph traversal.

Name and topic framing
Overview and background
Technical description
Launch timing and API availability
References and evidence links
Tags for search, clustering, and visualisation