AI Impact HubThe self-learning system
Stop keeping up with AI. Build the system that keeps up for you.
For the person with forty open tabs about AI and no idea which one matters.
Try it right here ↓Free, like everything in the Hub. No signup to read it.
There is more AI news every week than anyone can hold. The self-learning system is a project that knows who you are, what you do and which tools you use — so when something new appears, you feed it in and ask one question: does this apply to me? Sometimes the answer is don't bother. That answer alone pays for the setup.
The setup is one project — a learning folder. Have the AI interview you first: who you are, your role, your organisation's strategy. Drop in the strategic plan, an impact report, your website. That context is the engine, and the more it holds, the better the system reads everything else against it.
Then the habit. Any time you come across something — a YouTube video, a new model, a feature announcement — take the transcript or the page and feed it in with the question: based on everything you know about me, my tasks, my tools and my role, does this apply to the way I work, and how could it give me value?
Kyle's favourite outcome is the negative one: the AI telling him don't bother watching the video, there's nothing in there you don't know — 45 minutes handed back. And when something does matter, the system doesn't summarise it. It personalises it: takes the framework and walks you through applying it to your own work, which no summary ever did.
AI is actually the best teacher, really. Once you have the structure, once the AI has context about who you are and understands what these frameworks are — it becomes this self-learning machine that can help you better than I ever could.Kyle, mid-2026. He calls this his favourite thing he teaches right now.
- Make the learning projectOne folder, on your computer or in your AI of choice. This is the container the habit lives in.
- Get interviewedLet the AI build the context by asking you questions — role, organisation, tools, tech stack — rather than you writing documents about yourself.
- Feed it what you findTranscripts, articles, release notes. The system reads them against you, not against the general public.
- Let it triageThree honest verdicts: worth doing now, worth holding, don't bother. Then, for the keepers: guide me through implementing this.
- Share what workedThe organisational version is a loop: someone finds something, shares it in the team channel, and everyone runs it through their own system. Kyle's phrase: a self-reinforcing system.
The three prompts that run the system — the coach to start it, the triage question that is the daily habit, and the log that finds your gaps.
Based on everything you can find in this project, I'd like you to coach me in adopting AI. Ask me one question at a time until you have enough context about who I am and the work that I do. Then use everything you have access to to design a personalised AI adoption plan for me and my organisation.
Kyle's adoption-coach prompt, as he gives it to rooms. Run it inside a project that holds context about you.
The line the theme grew from — “you don't need an AI strategy, you need an AI learning system” — is Nathaniel Whittemore's, on the AI Daily Brief. What Kyle built on top of it is his own.
Next: AI agents.
A chatbot gives you something to action. An agent takes the action.
Read AI agents →