Some people want me to do the work with them. Others want to learn how to do it themselves.
This page is for the second group. The same ideas I use with clients, in a form you can take back to your team.
Judgement over tools
Practice on real work, honest measurement, and a readout your leadership will believe.
AI for product teams
A live cohort for product managers and product leaders who are building AI features, or using AI to build products, and need to show it's working.
You already know how to ship. The new, harder part is deciding where AI belongs in your product, briefing it well, judging what it gives back, and showing your leadership that it paid off.
A lot of AI courses for PMs teach the tools. This one is about judgement and measurement, which is where I've seen teams get stuck.
It's for PMs, senior PMs and product leaders. There's a separate track for regulated products like health, fintech, insurance and fraud, where a wrong answer has a real cost.
Takes under a minute. No payment now.
Where AI belongs
Writing one clear goal for a feature or workflow, and spotting the tasks where AI looks impressive but makes the work worse.
Briefing and checking
Why people who are good at mentoring tend to get better results from AI, and how to write a brief AI can act on.
Evals for product people
Rework rates, errors that slip through, and how many examples you need to check before you trust a result.
Value above the Token Line
Timing work properly, where the saved time goes, and a readout your leadership will believe.
Regulated products
Human review, sign-off and incident rules that hold up when someone checks (health, fintech, insurance, and fraud).
Demo day
Your own feature or workflow, defended live with real numbers behind it rather than hypothetical promises.
Private cohorts for your company
Want this for your whole product team? I can run the same programme for one company, using your own features and data, and finish with a readout for your product leadership.
Build and Beyond
My newsletter about what AI changes at work, and what it doesn't. Every two weeks I share one thing I've found, plus a tool you can use the same day.
“Good mentors make better AI users”
Some managers expect AI to read their minds. They've been expecting the same from their teams for years.
“If not tokens, then what?”
A six-layer test for whether AI is paying off.
“AI does half the job. Who's doing the other half?”
Your team's AI work looks finished. Here's why you can't tell if it is, and a quick diagnostic to find the missing half.
Free tools you can use today
Built for the newsletter. Free to use.
The Token Line Cheatsheet
Two pages with the six layers and the formulas, from issue 2. A quick reference for scoping a rollout and checking whether it paid off.
Everyone gets direct feedback on their numbers and their readout before they present it.
Is your AI paying off? Let’s find out.
Tell me what your team brought AI in for and where it’s stuck. In 30 minutes we’ll work out whether it’s paying off and what a sensible first piece of work looks like. You’ll get a written proposal within 48 hours.