In a recent LinkedIn post, Teresa Torres discusses a novel approach to product management alignment, introducing the concept of “GitHub for product management.” Torres highlights the work of Matthias and Charlotte Kleverud, co-founders of Momental, who are developing a system to proactively identify and resolve strategic conflicts within product organizations before they impact business goals.
Torres shares insights from a discussion with the Momental co-founders, explaining their vision:
“Momental ingests documents, meeting transcripts, and voice recordings across an organization, then uses AI agents to map them into a structured context layer—a set of interconnected trees covering goals, decisions, learnings, and who’s doing what.”
This innovative system aims to function similarly to how developers manage code conflicts. As Torres explains, the AI identifies when different product teams are working towards opposing objectives, such as one team focusing on retention while another prioritizes conversion. This misalignment is then surfaced for human intervention, akin to a merge conflict in software development.
The Genesis of ‘GitHub for Product Management’
Teresa Torres elaborates on the journey of Momental, detailing how their initial experiments with AI in 2022, using GPT-3, led to a deeper understanding of the challenges. The team discovered that AI agents themselves require aligned context to function effectively. This realization steered them towards a more sophisticated approach involving OODA-loop-driven agents and a focus on building a living knowledge graph.
According to Torres, the Kleveruds’ approach tackles a fundamental problem in product organizations: maintaining alignment across diverse teams and initiatives. She notes the importance of distinguishing between different types of organizational knowledge.
“The product chain: signals → learnings → decisions → principles, and how AI maps it.”
This structured mapping allows for a clearer understanding of how strategic decisions are formed and how they connect to overarching goals and principles.
Core Components of Momental’s AI System
Teresa Torres outlines several key components of Momental’s technology, as discussed with the co-founders. These include:
- Three Interconnected Trees: The system models an organization through three primary trees: the product tree (mapping OKRs to epics), the wisdom tree (documenting decisions and their rationale), and the people/time tree (tracking responsibilities and timelines).
- OODA-Loop Driven Agents: Document processing agents utilize the OODA (Observe, Orient, Decide, Act) loop to extract and connect contextual information from various sources.
- Conflict Detection and Resolution: The AI is designed to detect conflicts, such as competing priorities, and offers options for auto-resolution or escalation to human teams, complete with ‘merge options.’
- Metadata for Accuracy: Torres emphasizes the critical role of metadata—including who said what, when, and in what context—in preventing AI hallucinations and ensuring the reliability of the information surfaced.
In her post, Teresa Torres highlights the evolution of AI product design, moving from chat-first interfaces to more proactive, UI-first, and agent-driven systems. The Kleveruds’ experience underscores the iterative nature of building AI solutions, especially in complex domains like product management.
“Why traditional chunking and RAG breaks down at scale and what Momental does instead.”
This indicates a departure from standard AI techniques to address the specific needs of large-scale product strategy. As Torres concludes, Momental’s work offers a promising direction for leveraging AI to enhance alignment and decision-making within product organizations, addressing a persistent challenge with an innovative, code-inspired framework.
“The self-improving agent: collecting user feedback weekly and rewriting its own prompts.”
This continuous improvement mechanism is key to the system’s adaptability and effectiveness over time, as detailed in Torres’s coverage of the Momental co-founders’ insights.
📝 About This Content
This article is based on insights shared by Teresa Torres on LinkedIn.
📅 Originally posted on March 5, 2026 | View original post on LinkedIn →