The highest-leverage tool ever invented.
Do you know how to use it?

We help organisations use AI with skill: clear goals, good context, and results you can measure in your business.

Your goals first. Then the AI.

Autumn offer for non-profits

Mapping at half price for non-profits.

We care about good impact. That is why non-profits, foundations and other public-benefit organisations get 50% off our Mapping service when they book it by 31 October 2026. Together we find where AI can free your time for your mission, and where AI has no place.

Start with a free discovery call. The work itself can take place in November or later.

What we believe

Define the problem well. Then AI can do the work.

  1. 01

    The real skill is to define the problem

    A well-defined problem has a clear goal and a test for success. With this test, AI can run a loop: idea, do, test, repeat. One agent or 10,000 agents can run this loop. You only add more compute. Compute gets cheaper and smarter every year, so this method has no upper limit. If you cannot define the problem, a person must stay in the loop. Then that person is the bottleneck.

  2. 02

    Context is the new advantage

    Good company context gives AI more leverage. Soon every organisation has frontier AI. Then the difference is better context about your specific work.

  3. 03

    Measure business results, not demos

    The best test is a real improvement in your business. We also use well-known benchmarks.

  4. 04

    Think before you build

    Talk to customers and understand the problem first. Most human work belongs at the start, where you decide what to do, and at the end, where you test if the result is what you wanted. AI does the work in between, fast.

  5. 05

    The agent harness is the highest-leverage tool humanity has ever made

    The tools and loops around a model, for example Claude Code, can give more improvement than a better model. Thus the skill of the person who uses them matters a lot. When you learn these tools well, you can go from 1x to 10x to 1000x.

How we help

We help your organisation get real results from AI.

01

Define the problem

Together we write clear goals and tests for success. Then AI can do the work, and you can see if it works.

02

Build your context

We put your company knowledge into a form that AI can use. You own it, and it works with any model.

03

Build and measure

We build the agents and tools. We measure the results in your business, not in a demo.

04

Train your people

We teach your team to use the new tools well. A skilled user gets much more from the same AI.

How we work

Three ways to work with us. Start where you are now.

01/ 3

Workshop

A facilitated workshop. Learn the latest AI tools and decide together how your organisation wants to use AI.

02/ 3

Mapping

We map your organisation and find the lowest-hanging fruit for AI.

−50% for non-profits until 31 Oct

03/ 3

Build

From prototype to full-stack production. We build it and we deploy it.

Organisational context

The machine doesn’t know you. Yet.

AI doesn’t know what your organisation is aiming for, why, or what good work looks like on your terms. We map it with you and turn it into a form that lets the machine work towards the outcome you want.

Organisational context

The bridge between goals and technology

  1. What

    What you want to achieve

    The tasks, workflows and outcomes that genuinely matter to you.

  2. Why

    Why it matters

    Your goals, your values and how you recognise success.

  3. Context

    How the machine understands it

    Tacit knowledge written down: instructions, sources, examples and limits a machine can use.

  4. Outcome

    The machine works in your direction

    Results are judged by your measures, and the context is refined on that basis.

Models change. The context stays with you.

Can be done as part of mapping and building, or as a service of its own.

Read more about organisational context

About

Our strength: we build with these tools every day.

We build AI agents, harnesses and machine learning systems. We know what today’s models can do and what they cannot do.

We do not sell hype. We advise, we build and we measure. When necessary, we use open models on servers that you control. Sometimes our best advice is not to use AI.

Call or email us. The first conversation is free: tell us what matters to you, and we’ll work out together where to begin.