Who this is for

Three kinds of people. Choose yours.

You already have the expertise. This work gets more of it into what you produce.

Leaders & executives

Executives, directors and senior managers who carry decisions about AI, and who also have plenty of their own work to do. This covers both: the judgement to know which AI proposals are worth backing, and real capability in the reporting, writing and analysis that fills your own week. What you build here shows, and a team that can see their leader using AI well moves faster than one that has been told to.

  • Lead the change instead of catching up to it
  • Talk about AI with confidence rather than bluff
  • Model the behaviour you want your team to copy
  • Judge which AI proposals are worth backing

Professionals in teams

Serious one-to-one AI coaching is aimed almost entirely at the C-suite, which leaves capable, ambitious professionals underserved. Often funded through a personal development allowance, or by a manager investing in someone on their team.

  • Become the person everyone else asks
  • Get visibly better at the work, not just faster at it
  • Turn a development allowance into capability that compounds
  • Build skills that survive the next tool change

Independent practitioners

A psychologist, an occupational therapist, a GP, a consultant, a small business owner. Working outside an organisation means never being handed the development an employer would provide, despite having a distinct set of tasks and obligations where AI could genuinely change the work.

  • Get the development no employer is going to hand you
  • Put your own records, templates and files to work
  • Cut the admin that eats into billable hours
  • Keep the judgement your clients pay you for firmly yours

Find out what’s possible for you.

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The usual alternative

What a self-paced online course cannot give you

Most people wanting to get better with AI reach first for a course. That instinct is reasonable: for baseline awareness of a fast-moving field, a cheap self-paced course is a sensible tool. The limits are structural rather than a matter of quality.

A course can make you aware. It cannot make you capable at your own desk.

A self-paced online course

  • Video is fluent to watch, and that fluency feels like understanding without producing it.
  • Learning at your own pace usually means consuming everything at once, the opposite of what makes learning last.
  • Testing, where it appears, certifies completion rather than functioning as retrieval practice.
  • Generic content can only address the generic professional, and how closely practice resembles the real job determines whether anything transfers.
  • What it hands you is a set of use cases, and use cases date as fast as the tools do.

This work

  • Built on your own live work, never on tidy demonstration cases.
  • Spaced across weeks, with the gaps where the learning happens.
  • Assistants and automations built from your own material, on your own machine.
  • The capacity to meet an unfamiliar task next month and see the opportunity in it yourself.

That experimental disposition is the actual product, and it is what keeps you effective as the tools change beneath you.

What you learn

Three skills for working with large language models, built on your own work.

It is very easy to accept an output that seems good enough and settle, and to miss that something far better was one sentence away.

01

Spot the task

Identifying the tasks inside your own role where a large language model genuinely helps.

02

Work the model

Prompting and conversing in a way that gets the most out of it, injecting your own professional expertise into the conversation rather than accepting whatever comes back.

The tools we train in
  • Claude
  • ChatGPT
  • Gemini
  • Copilot

03

Think with it

The creative, flexible, experimental thinking that makes both of those possible. Not a set of prompts. How to think with the tool.

The engagement

How it works

Four stages. What happens in each, and what you are left with.

  1. 01

    Discovery

    A structured examination of what you actually do week to week: your recurring tasks, the software you already use, the artefacts you are responsible for producing. Gathered systematically, so the picture is comprehensive rather than anecdotal.

    You are left withA comprehensive picture of your week, which everything after this is built on.

  2. 02

    The build, done for you

    You almost certainly sit on a wealth of material you rely on constantly: reference documents, past reports, templates, datasets, style guides. Most of it sits inert. Away from the sessions, we build automations and custom assistants that draw on those sources directly, configured on your own machine.

    You are left withThe repetitive parts of your work taking a fraction of the time, starting from your own best material rather than a blank page.

  3. 03

    The coaching

    Sessions are spaced across weeks rather than crammed into a day, and the gaps are where the learning happens. Real tasks, attempted on live work, become the raw material for the next session: what worked, what broke, where you got stuck, solved in real time.

    You are left withSkill that transfers, because it was built on your own material and never on tidy demonstration cases.

  4. 04

    Sustain

    Light-touch support between and after sessions. The engagement is wrapped in a visible scaffold rather than ending abruptly at the final meeting.

    You are left withCapability as the deliverable, not attendance.

Three sessions is a sensible default, but the number matters less than the design.

Let’s begin

Start with a conversation.

Every engagement begins the same way: a conversation about what you’re trying to change. The shape of the work is developed with you from there.

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