Building GitHub for Product Management: How Momental Uses AI to Find Merge Conflicts in Strategy

Guests

• Matthias Kleverud - Co-Founder, Momental
• Charlotte Kleverud - Co-Founder, Momental

What we cover in this episode:

• What "GitHub for product management" means: finding merge conflicts in strategy, not code
• The product chain: signals → learnings → decisions → principles, and how AI maps it
• Three trees that model an organization: the product tree (OKRs to epics), the wisdom tree (decisions and their reasoning), and the people/time tree
• How a document processing agent uses OODA-loop thinking to extract and connect context across documents
• Why traditional chunking and RAG breaks down at scale and what Momental does instead
• The origin story: building a team of AI agents in 2024, only to discover agents hit the same alignment problems as humans
• Starting in 2022 with DaVinci 002 and learning that the market wasn't ready for AI-assisted product thinking
• How conflicts are detected, auto-resolved, or escalated to humans with merge options
• Why metadata—who said it, when, and in what context—is critical to preventing hallucinations
• The self-improving agent: collecting user feedback weekly and rewriting its own prompts
• Moving from chat-first to UI-first to proactive agents as an AI product design pattern
• Design partner strategy and what's next for Momental's public launch

Resources & Links

• Momental - GitHub for product management
• Spotify - Where both founders started their PM careers
• Claude Code - AI coding tool discussed in the conversation
• Perk episode on Just Now Possible - Referenced episode about eliminating shadow work

Chapters 00:00 Meet The Founders 01:14 GitHub For PMs Explained 03:19 Strategy Merge Conflicts 06:49 Product Chain Model 09:49 Capturing Context Fast 12:17 Context Graph And RAG Limits 16:52 Origin Story Since 2022 20:01 From Agent Team To Foundation 25:26 Three Trees Of Context 28:42 Two Agents Secret Sauce 31:37 How Document Processing Works 34:55 Agents Ask Better Questions 35:41 Human In The Loop Context 36:38 Data Models And Graphs 39:21 Beyond Documents And Vectors 42:25 Specialized Tools Win 44:50 Quarterly Planning At Scale 49:38 Discovery Versus Vibe Coding 51:00 Tree Building And Conflicts 53:49 UI Over Chat Interfaces 56:01 Proactive Agents In Practice 58:00 Quality Evals And Feedback 01:00:22 Launch Plans And Mission 01:03:19 Eliminating Shadow Work 01:03:56 Closing Thanks