All journeys

I want to make AI useful at work

Not a career change and not a startup. Pick one repetitive part of the job you already have, prove whether it is worth changing, and leave your team with something they can trust without you standing beside it.

You end with: One repetitive workflow measurably improved, adopted by your team, and safe to run without you.

Explore

Start with the work, not the tool. Volume, error cost and time saved decide whether an automation belongs in the job at all.

  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

Build one small example, then give it tests strong enough to survive inputs from colleagues rather than only your own demos.

  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)

Launch

A workplace tool succeeds when the people doing the work agree to use it, know when it is wrong, and can stop it without calling you.

  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)