Builder mode

Build AI products

For PMs and builders shaping agents, copilots, and AI workflows.

AI makes it cheap to build things that demo brilliantly and die in retention. This path builds the judgment to tell whether the intelligence earns its place in the product — starting from the user's real job, designing for the model being wrong, and connecting it back to value and cost.

6 steps

Skill · AI

AI feature sensemaking

Judge whether an AI idea solves a real workflow problem or just adds novelty.

Start by separating a real workflow problem from an impressive demo.

Skill · Product judgment

Reading user intent

Move from what users say to what they are actually trying to get done.

Find the job the user is actually trying to do — the anchor for any AI feature.

Skill · AI

Designing for model uncertainty

Shape an experience that stays trustworthy when the model is confident, wrong, or unsure.

Design the experience for when the model is confident, wrong, and unsure.

Concept

Workflow Orchestration

Designing how steps, tools, and people connect to move real work forward.

Understand how a feature earns its place in a real sequence of work.

Skill · Business

Unit economics for PMs

Reason about what a feature earns and costs so product bets connect to the business.

AI's best users are often its most expensive — reason about cost per use at scale.

Case · ~15 min

SaaS activation drop

New signups stall before their first real value moment. Investigate where onboarding loses them.

Ground it in a real diagnosis — the reasoning is the same whether or not there's a model in the loop.

Ready?

Work the steps in order, or jump to what you need. Either way, you’re building judgment — not collecting frameworks.