One hands-on session to build your personal AI operating system — automating real PM work with the tools that matter right now.

Designing one agent is hard. Knowing when you need a second one — and what that changes — is harder. This workshop gives you the frameworks to make both calls well.

You walk in with an idea. You walk out with a functional MVP: a small web app that actually works, deployed to a live URL and ready to test with real users, built entirely by you. Not a prototype, not a mockup. No dev background required, and nobody left stuck with no one to ask.

Textbook methods don't survive tight deadlines and conflicting opinions. This workshop shows you when to do research, when to skip it, how to validate fast, and how to turn messy findings into decisions people trust.

No buzzwords, no pretty canvases — just a modular approach to connecting product choices to company goals, the right metrics to measure real progress, and guardrails to keep your team focused.

Build your AI operating system. The tool setup, knowledge base, and stack connections that turn copy-paste-and-pray into predictable, high-quality output.

Codify your knowledge so the AI does it for you. Build skills that run on autopilot. Common PM use cases turned into repeatable workflows.

What makes agentic AI different — and how to design a single agent that works reliably. From LLM literacy to guardrails, fallback, and human-in-the-loop decisions.

When success creates new problems. Extend vs split your agent, then build the multi-agent system — observability, coordination, and the Agentic Mesh framework.

Build your first working app from zero. Watch the method live, then do it yourself: from an empty screen to something real running in your browser, styled and connected to actual data.

Make it yours and ship it. Add a context system so your output stays consistent, scope your own build, deploy to a live URL, and learn exactly what to do when you get stuck.

Discovery in the real world. Practical methods that survive tight deadlines and noisy stakeholders. When to bend the rules, and how AI accelerates without replacing your judgment.

Validation, stakeholder alignment, and influencing without authority. How to test assumptions in messy environments and turn insights into decisions people will back.

Strategic choices in plain English. A modular approach to shape your product strategy and connect it to your company strategy — no buzzwords, no pretty canvases.

Beyond revenue KPIs. Identify meaningful metrics that actually represent strategic success, then set up execution guardrails to measure real progress.

One hands-on session to build your personal AI operating system — automating real PM work with the tools that matter right now.