Matt is a product leader who finds the real problem, then builds the right solution.

Written for PMs building AI products, not ML engineers. The best place to start.

Enough technical depth to hold your own with AI engineers on evals, RAG, agents, and cost.

Beyond chatbots: agents that reason, plan, and execute workflows.

The strategy layer: frameworks for launching AI products and operating as an AI PM.

AI as collaborator, not software. Great mental models for designing AI experiences.

Asks how cheap prediction changes a whole system, not where to sprinkle AI.

End-to-end: strategy, implementation, and governance.

Enterprise reality: governance, security, scaling. Save it for after the others.

What happens once AI ships: pipelines, monitoring, feedback loops, drift.

AI makes building easier, so deciding what to build matters more. Discovery still wins.

The one show I never skip. Product, growth, and how AI is changing the job.

Deep enough on AI engineering that I actually learn how the models work.

Where the frontier is heading, from two investors who see everything first.

Short, practical conversations about product leadership and enterprise AI.

Melissa keeps me honest about strategy and how to structure a product org.

Real workflows, real tools. I steal at least one tactic per episode.

Applied AI from LLMs to MLOps, without the hype.

My catch-up on the day's AI news. Fast and to the point.

How AI business models, infrastructure, and investing fit together.

Growth, careers, and AI from someone who's done the work.