AI Prototyping for PMs (1-day training)
The PM role is being repriced in real time.
Teams that used to take two weeks to validate an idea are now doing it in two days. Feedback on Monday. Prototype by afternoon. Stakeholder review on Tuesday. Refined and handed off by Wednesday. The tools to work at that speed exist. Most PMs just haven't built the workflow yet.
Most AI prototyping courses teach you how to use a tool. This one teaches you how to think before you touch it.
There's a gap between PMs who can paste a prompt into Lovable and get something running, and PMs who can walk into a meeting with three working prototypes and a clear point of view. This Lab is about closing that gap — in one day, in person, in Porto.
What this is
A hands-on full-day training for Product Managers who want to build real prototypes with AI — without writing a single line of code, and without producing something that looks AI-generated and feels half-finished.
Morning — the work most people skip
Sharpen a real product problem you're working on
Map the competitive gap and define the experience foundations
Build the design system and Knowledge Prompt that Lovable needs to actually understand your intent
Afternoon — build
One deep prototype end-to-end
Two lighter variants that remix the same foundation across a different audience, visual direction, or use case
What you'll leave with
3 deployed prototype URLs you can share immediately
A reusable prompt library built around your own product context
A repeatable method you can use again the next time you need to test an idea fast
The kind of output that makes stakeholders take you seriously
A product portfolio ready to share in the AI age
Why in person
Online courses give you content. This gives you feedback — on your problem framing, your prototypes, and your thinking — from a trainer and a room of peers who are working through the same challenges you are.
Your trainer
Ricardo Luiz is an AI & Product Strategy Lead and one of Lovable's official ambassadors. He works at the intersection of product strategy and AI-assisted development, and he's spent years helping teams go from vague ideas to working products. He won't be showing you demos. He'll be watching you build and telling you what to fix.