AI PM - From Doing Tasks to Designing Loops
Join us for an evening on closed loops, the operating model behind AI-native companies, and the biggest shift underway in how product work gets done.
A closed loop is an old idea from control theory: act, measure the outcome, feed it back, improve the next run.
Applied to work, it changes what you actually do. Instead of executing a task, you design a loop — an agent does the work, verifies the result against the goal, learns from what happened, and runs again. The work keeps improving whether or not you’re at your desk, and your job shifts from doing to designing: setting the goals, the quality bar, and the feedback that makes every run better than the last.
What closed loops offer:
• Compounding output — every run produces feedback the system learns from, so quality rises over time instead of resetting with each task
• Real leverage — one person can design and supervise many loops running in parallel
• A queryable organization — when work flows through loops, everything is captured, measurable, and improvable
Trends we’re seeing:
• Y Combinator’s AI-native playbook: AI as the operating system of the company, with every important process captured in an intelligent closed loop
• Boris Cherny, creator of Claude Code, no longer prompts — he writes loops and supervises fleets of agents that iterate until the goal is met
• Loops triggering loops: agents woken by schedules, webhooks, and other agents, not by a human deciding it’s time
• Mistakes turned into memory: corrections written into durable instructions and skills, so the same error never happens twice
• Progress counted in loops and tokens, not headcount and hours
Live demo: we’ll show how to implement your first product loops in an AI-native workspace — defining the goal, delegating the work, and closing the feedback loop.
Come ready to learn, share, and leave with loops to build.
Agenda:
• ⏰ Doors Open · 16:40
• 👋 Welcome & Introduction · 17:00
• 🤖 Talk & Demo: Designing Product Loops · 17:10
• 🎉 Wrap-up & Networking · 18:30
• 🚪 Close Doors · 19:00
• 🥙 Optional after event drinks and food?