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AI Training

1-2-1 Personal AI Training

For senior people who have no time to sit through a course. It will not save them typing, it catches the things they forgot they agreed to.

Carried overfrom a document supplied by the client, taken 7 September 2026 and not rewritten. Source URL not supplied.

Recurring 1 Hour Sessions (the first two 90 minutes), every two to four weeks, for one person

For senior people who have no time to sit through a course. It will not save them typing, it catches the things they forgot they agreed to.

Summary:

A private programme for one person, built entirely around their working week, with no syllabus at all. The early sessions clear the ground: rules, shortcuts, dictation and custom instructions, so the tools already on their desk stop generating noise and start writing in their voice, and then the calendar is properly defended. From there the sessions become a build, producing one tool made for that person’s actual job, tested in real use and corrected as they live with it. Most of the work happens between the sessions, and a recent programme ran to four hours of contact time against eleven hours of research and building behind it. It is closer to coaching than to training, deliberately paced so the person absorbs it, and it ends with them running the result on their own.

Course Breakdown:

Clearing the Ground

  • Mail rules that remove the noise
  • Dictation and shortcuts
  • Automatic replies
  • Draft instructions so the AI writes the way this person writes
  • Custom instructions, so everyday requests need no set-up at all
  • Defending the calendar: a bookings page with buffers
  • Following a meeting without accepting it
  • Focus time that actually stops colleagues booking over it

The Build & Ongoing Review

  • Choosing what to build: the repeated task in this person’s week that is worth automating
  • An honest test of whether AI is the right answer for it
  • The build, session by session, on their own account and their own data, each version tested in real use with the failures fed straight back in
  • A learning loop, so their corrections become dated rules the tool keeps
  • Live-use review: what broke, what they stopped using and why, and the improvements that come out of real mistakes

Outcome:

The person ends up with their environment fixed for good, their calendar back under their control, and a working tool built for their job rather than a template, which they run themselves without support. They also get evidence: a record of what the tool handled, which for someone managing a team is a workload argument they did not have before. Run across a leadership tier, the programme doubles as discovery, because the use cases collected one at a time are exactly what a later group session for that tier is built from.