Knowledge architecture
A product leadership library designed for machines and humans
Generic models know how language works. Product Manager Hub encodes how product work — prioritization, AI bets, exec narratives, operational traps — so answers can be specific, comparable, and accountable.
Frameworks
Named methods with when-to-use guidance and structured content — not loose paragraphs. Built for comparison and real-world context.
Decision criteria
Scorable conditions and thresholds that tie back to frameworks — the bridge between “interesting idea” and “decision-ready.”
Red flags
Severity-tagged risk patterns and mitigations — the “don’t ship this without addressing” layer that generic chat rarely pressures-test.
Hybrid retrieval
Queries blend lexical and semantic signals so both exact terminology (e.g. “RICE”, “build vs buy”) and messy problem descriptions surface the right entries. That is what powers natural discovery in MCP tools like search and comparison.
See how MCP exposes this libraryLive preview
Ask a real product leadership question
Tap a sample question below — we query the same curated library that powers MCP and Pro chat. It is a taste, not the full workflow.
Choose a question to see frameworks and red flags from the library.
One search per preview · Pro advisor for multi-turn chat, or MCP in Claude Desktop for the full toolset.
Curated knowledge base
Frameworks, decision criteria, and red flags built for product leaders — the same source that powers Pro chat and MCP tools.
45
Total items
11
Frameworks
7 free · 4 pro
25
Red flags
9
Decision criteria
Why we built this
Product decisions should pull from curated frameworks and documented failure patterns — not generic blog takes. We built the advisor and library so that intelligence stays grounded as you grow.
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