I spent 17 years leading product orgs at NICE and Cognyte: 30+ person teams, $200M+ portfolios. The hardest part was never strategy itself. It was having the right thinking partner at the right moment. Product Org OS codifies how great product organizations actually work. The Vision to Value framework, the agent roles, the 65 skills, all from real patterns I've seen succeed (and fail) at scale. Why is this different from other AI tools? It's a team, not a chatbot. 13 agents with distinct domains and perspectives. Ask @plt for a portfolio tradeoff and your VP Product, PM, and Dir PMM debate it, with tension, alignment, and synthesis. Like walking into a real meeting room. It remembers. Decisions, strategic bets, customer feedback, and learnings persist across sessions in a cross-referenced context layer. Your org builds institutional memory over time. It works everywhere. Not locked to one tool. Claude Code, Cursor, GitHub Copilot, Gemini CLI. Anything supporting the Agent Skills open standard. It connects to your stack. Agents auto-detect Jira, Slack, analytics tools via MCP. No integrations? They fall back gracefully. It comes with expertise. 9 knowledge packs (pricing frameworks, prioritization methods, competitive analysis, GTM playbooks) that agents reference when producing deliverables. It's free. MIT licensed. Install, run /tour for a 5-minute walkthrough, and start creating. World-class product capabilities shouldn't be locked behind enterprise software. Would love feedback from product leaders on what resonates and what's missing 🙏

Product Org OS

An entire product organization that becomes your superpower.

An entire product organization that becomes your superpower.