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
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
