AI for Product Managers: Beyond the Basics

AI Assisted Product Discovery.

How discovery changes when AI helps you build a research repository, synthesize qualitative insights, and run analyses alongside you. We talk candidly about discovery slop, research that looks shiny but says nothing, and how to avoid it. You get hands on choosing the right thing to test, picking the right prototype, and setting it up to deliver real signal, not just a slick demo.
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Scaling Productivity with AI.

This is where many PMs get stuck: they use AI ad hoc but build nothing repeatable. You learn to spot the highest leverage use cases in your work and your team's, and to go beyond chatting with ChatGPT or Microsoft Copilot to building your first agents and automations, pragmatically, with the tools you already use.
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Building AI Products.

For many, building AI products still feels like a black box. We open it up. Tools like Lovable make a feasible prototype easy on day one; the real challenge is improving output, handling non determinism, and deciding when it is good enough to launch. We go hands on with the building blocks that make this tractable: evaluations, observability, and the product decisions around them.
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Driving AI Transformation.

Getting good at AI yourself is one thing; helping those around you is another. Julia shares how she leads AI transformation at her SaaS startup: shifting the organization mindset, building momentum for innovation, and staying on the front foot instead of waiting to be disrupted.

What you cannot expect: a deep dive into vibe coding as a craft (we will vibecode, but through a product discovery lens), a prompt engineering course (the pre work covers the fundamentals), a tool tutorial (the workshop is tool agnostic), or superficial blabla. We go into the real struggles of doing product management with and around AI, not the hype reel.

• Cut through the AI noise: build the mental model and vocabulary to filter the hype and decide what is worth your attention
• Run better AI assisted discovery: build a research repository, synthesize insights, and pressure test findings, while spotting discovery slop
• Build your first agents and automations for the highest leverage tasks in your work and your team's
• See inside the AI product black box: evaluations, observability, non determinism, and how your PM role changes
• Know when an LLM is the right tool, and how to apply it beyond chatting
• Start driving AI in your team, with a clearer picture of how to build momentum and confidence