All journeys

I want to help local businesses use AI

The useful work is rarely a chatbot. It is finding a repeated process with enough volume, earning permission to touch it, pricing the risk honestly, and leaving behind a system the business can operate without you.

You end with: One scoped, priced and measured engagement that a real business can keep running after you leave.

Explore

Learn to reject impressive ideas whose volume and value cannot repay the work. A good audit produces more noes than proposals.

  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

You need one fast build, evidence for its exception rate, and a deployment option that respects the data boundary of a small business.

  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)
  3. Local or nothing — Run open-weight models on hardware you own, and know what they cost you in watts and seconds. (5 lessons, 6 min)

Earn

Test whether the problem is real before proposing a solution, then write a quote whose exclusions and running costs are visible.

  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)

Launch

Do the whole engagement inside somebody else's business: permission, baseline, deployment, measurement and a clean handover.

  1. Automate a local business — Somebody else's business, somebody else's process, and a handover where you never get called again. (23 lessons, 1010 min)