Introducing the World's First Autonomous Product Team
Building fast is solved. Knowing what to build — and building the right thing — has never been systematized. Until now.
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Learnings on product strategy, team alignment, and building from collaborative intelligence.
The Real Reason AI Agents Fail (It's Not the Models)
Most agent failures aren't capability problems. They're organizational clarity problems. And that changes everything about how you fix them.
Read moreMomental Is Live: Organizational Memory for the Age of AI Teams
After months of building with founding teams, Momental is opening its waitlist. Here's what we learned, what we built, and why it matters for every team running AI agents.
Read moreThe 10-Person Unicorn: Why the Future Belongs to Tiny Teams with Infinite Memory
The most valuable companies of the next decade won't be the biggest — they'll be the smallest. But staying small requires something most teams don't have: organizational memory.
Read moreWhy Our Slack Agents Didn't Work, And What We Built To Fix It
We built a full product team for Slack. They got stuck all the time. Here's what we learned about what agents actually need to act autonomously.
Read moreFrom GitHub for Product Management — to Something Bigger
What started as a structured layer for decisions and learnings became the operating system for autonomous teams. Here's how we got here — faster than we expected.
Read morememory.md Is Not Enough: 9 Requirements for Long-term Memory for Agents
Everyone agrees agents need memory. Nobody agrees on what that means. Here's what we've learned building it.
Read moreThere Is No PRD
The PRD has been the primary interface between product thinking and engineering execution for twenty years. It almost never reflects reality. Here's why — and what replaces it.
Read moreThe Document Is Dead and Agents Killed It
Every company has a graveyard of Google Docs. We've been building on a document paradigm for thirty years. And it's finally, quietly, breaking apart.
Read moreContext Quality Matters More Than Context Quantity
MCPs and integrations are solving the context quantity problem. You can now pipe virtually anything into an LLM - your codebase, your docs, your Slack history, your entire knowledge base. The pipes are built and the integrations exist. What now?
Read moreIntroducing Momental: Know Why You Build
We're launching Momental to help product teams finally connect every learning, every decision, and every piece of context across their organization.
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