Product OS: The Open, Evidence-First Framework for AI Product Work
Product OS is an open, MIT-licensed framework of 32 agent skills that puts evidence before confidence in AI product work. See how it works.
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The 32 Best AI Agent Skills for Product Managers in 2026
All 32 Product OS agent skills for PMs across Discovery, Strategy, Delivery and Operate. MIT-licensed, vendor-neutral, SKILL.md format.
RAG vs Vector Search vs AOT: Which Answers Product Questions?
RAG and vector search answer lookup questions but cannot count or detect absence. See why AOT reads the whole corpus instead.
The 7 Best Retrieval Engines for Qualitative Data in 2026
Compare the 7 best retrieval engines for qualitative data in 2026 by question shape — lookup, population, absence. See where vector search wins and where
Agent Skills for Customer Discovery: A Practical Workflow (2026)
How the eight Discovery agent skills in Product OS plan, synthesize, and prioritize customer research — with evidence-grounded synthesis and AOT retrieval.
Knowledge Management for Product Teams: The 2026 Guide
The 2026 guide to knowledge management for product teams: wikis vs. search, RAG vs. AOT, and a 3-layer architecture for capturing customer evidence.