All journeys

I want to turn a prototype into something people will pay for

A working demo proves that you can build it. Nothing more. This route adds the evidence a buyer needs: a real problem, measured reliability, a price that survives delivery, and a shape you can sell more than once.

You end with: A prototype tested with named prospects, a quote you can defend, and a repeatable offer ready for a real buyer.

Explore

Before improving the prototype, work out what the result is worth and whether the process happens often enough to support a purchase.

  1. The economics of automation — Why one job gets automated and the near-identical one next to it does not. (3 lessons, 65 min)

Build

Use one deliberately small AI build to learn the difference between a convincing demonstration and a result you can measure repeatedly.

  1. Coffee break: the summariser you can prove is wrong — Twenty minutes to build it, twenty more to find out where it fails. The second half is the point. (2 lessons, 40 min)
  2. The eval you actually need — Stop reading leaderboards. Build the harness that measures your task, on your inputs. (4 lessons, 8 min)

Earn

Put the problem in front of named prospects, price the complete delivery rather than the demo, then choose a repeatable business shape.

  1. Validate it in 48 hours — Find out whether anybody wants it before you spend six weekends finding out they don't. (3 lessons, 65 min)
  2. Price the work — Scope it, cost it, quote it — and know the number below which the job loses you money. (3 lessons, 80 min)
  3. Sell the thing, not the hours — Why your rate has a ceiling, where the repeatable part of your work is hiding, and what a product costs you after the sale. (3 lessons, 85 min)

Launch

The prototype becomes an offer when it runs on real inputs, for somebody else, long enough to produce honest before-and-after numbers.

  1. Ship one automation — Take one real process end to end, put it in front of people, and measure what it did for six weeks. (26 lessons, 1255 min)