Prompting
How to write briefs the AI understands — so it does what you actually meant.
Tailored AI training
Practical AI training,
Practical AI training,
from fundamentals to advanced techniques
Online training that teaches you to use AI like a team member, not a gimmick. Always built around the work you actually do.
Online training, from fundamentals
to advanced techniques.
We focus on the two most mature AI ecosystems for everyday work — ChatGPT with Codex and Claude with Claude Code. You'll learn how to wire them into a workflow that saves time and keeps you consistent.
OpenAI ecosystem
ChatGPT
Codex
Anthropic ecosystem
Claude
Claude Code
For anyone who wants to get serious value out of AI.
It doesn't matter whether you're brand new to AI or already use it daily. We tune the content to your level — and to the work you actually do.
Teams
to build AI into processes
Individuals
freelancers and professionals
Companies
to adopt AI systematically
Public sector & government
with respect to sector specifics
Less drudgery, more finished work.
AI saves time exactly where it hurts — repetitive work, hunting through documents, writing briefs and onboarding. After the training you'll know where to put it to use.
Time saved
Routine tasks that used to take hours get done in minutes — and at a cleaner standard.
Less mechanical work
Boilerplate goes to AI, so you can focus on the work that actually matters.
Better documentation
Projects with a clear brief are easier to hand off, continue and scale — with or without AI.
Consistency across the team
A shared way of working with AI — instead of everyone improvising their own version.
The concrete areas we cover.
We build every training out of these building blocks — the mix and depth depend on where you want to get to.
Memory
Persistent AI memory — where to keep it, how to share it and what to avoid.
Project documentation
Briefs and docs the AI feeds on — the foundation of sustainable collaboration.
Sharing across the team
One AI setup for the whole team — so people aren't each running their own parallel version.
RAG over team data
AI that has access to your documents and data — securely.
Working with long context
Big tasks, long files, multi-stage projects — without losing the thread.
Agents & automation
Specialised AI "workers" that take over recurring tasks for you.
Security & sensitive data
What belongs where, what should never leave the room, and how to protect sensitive know-how — including public-sector specifics.
Practice first
No theoretical lectures. We work on your projects.
Instead of generic slides we walk through real situations from your world. You tell us what you're tackling — we show how AI would handle it next to you.
- Hands-on examples where it makes a difference
- Cases built on what your team actually does
- Concrete templates and prompts you walk away with
- Room for your own questions throughout the session
What a complete training looks like, end to end.
Sample outline of a 2-hour intro to advanced training. Every training is built to fit — we pick from this outline and add new topics on top, driven by what you actually work on.
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1
Introduction
What's ahead, how to get the most out of the session, and what to come prepared for.
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2
Mental model: AI as a team, not a tool
We set roles — what's your work and what's AI's. We cover standardisation: AI is capable of remarkable things, like a seasoned pro, but it needs guidance like a child — clarity on what "right" means. And we map processes from A to Z: where a task begins, when it's done, where the boundaries are.
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3
Three layers of AI control
Documentation — precise task descriptions, how to build a solid brief. Memory — your options for AI memory and how to keep it useful long-term. Agents — specialised "workers" that save time and have a clear role.
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4
Documentation vs. AI RAG
Working with the docs of a specific project as well as a general way of working across projects. Rules that save time, and a sustainable AI system for the whole team.
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5
Workflow
A walkthrough of efficient work on larger projects — from the first brief to a finished deliverable.
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6
Git
How to set up a project so it can be shared and versioned — including the AI configuration that rides along with it.
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7
MCP servers
Extending AI's ability to cooperate with other software in your stack.
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8
Bringing it into existing projects
Concrete prompts and settings to integrate AI where you already work — no green-field required.
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9
Efficiency and project sustainability
Important ongoing optimisations and tips for tools that save time in the long run.
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10
What to watch out for
Common AI quirks and gotchas — and how to head them off before they cost you time.
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11
Q&A
Open space for the specific questions and situations you're dealing with.
From first contact to real, working results.
No off-the-shelf training. We start with what you're solving — and finish with it actually working in your day-to-day.
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Inquiry
A short message about what you're trying to solve.
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Tell us about your work
Send over typical tasks your team — or you — actually do.
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Tailored prep
We prepare examples and exercises drawn straight from your world.
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Online training
We run it in the format you need — half-day blocks or full days.
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Follow-up consulting
One-on-one consulting on specific projects after the training.
Let's talk it through.
Ideally about what you actually work on.
What helps us prepare
So we can build the training around you from day one, it helps to mention a few things in the message. No essay needed — a few sentences will do.
- What you most often work on (types of projects, tasks)
- Which parts of the work you'd like to speed up
- Your team's current AI experience (from beginner to advanced)
- How many people should attend
- An idea of the scope (2 hours, half-day, a series of sessions…)