Your actual work
We use your real tasks, your real data, your real problems. Not hypotheticals. You leave with outputs you can use immediately.
Cohort
I help people stop doing tasks and start directing systems. 5 modules. Two tracks. You leave with proof in your portfolio.
“He shows you why it's useful before he shows you how it works.”
“He uses your computer, your data, your problems — never a generic example.”
“He doesn’t teach you to think differently. He makes your own thinking usable.”
“He took someone who had never written a line of code and had them building independently within a month.”
“He took someone who was actively resistant to AI and had them evangelical by the end of the first session.”
Audit your workflows. What's blocking your main thread? Separate the execution from the judgment.
Outcome: Workflow audit with automation candidates identifiedJSON, Markdown, Git, and how LLMs actually work — demystified for non-technical people. Not programming, just literacy.
Outcome: Real workflows automated, not hypotheticalsChatGPT Apps (Zapier, Data Analysis, AskYourPDF, Canva, Drive) + Claude Desktop with MCP servers. The 80/20 — use existing tools before building anything.
Outcome: Working automations in your portfolioDual-track: Track A (no code) — Custom GPTs, Agent Skills, workflow chaining. Track B (builder) — MCP servers, security, production deployment.
Outcome: Custom workflows (Track A) or deployed tools (Track B)Showcase your automation portfolio. Peer review. The neurodivergent advantage — why ADHD/AuDHD brains excel at orchestration.
Outcome: "Dangerous, not dependent" — skilled and autonomous52 documents. Learning outcomes, labs, and capstone projects for every module. The content is finished. First cohort forming now.
We use your real tasks, your real data, your real problems. Not hypotheticals. You leave with outputs you can use immediately.
We build templates, workflows, and operator patterns during the session. You keep them. They become your runbook.
Everyone works differently with AI. I help you find what works for you, not what works for me.
5 modules, 8–10 weeks. Dual-track at Module 4: no-code or builder. Hosted on Moodle with forums and peer review.
Half day, focused on your specific work. Side-by-side. 2–5 people from the same team. Everyone leaves with something working.
Structured around your business workflows. Hands-on, not slides. Constraint mapping for your organisation.
Built on Goldratt's Theory of Constraints, applied to AI-enabled work. Read the paper →
No hype. No certificates. No upsells. Outcomes only.
First cohort forming. All applications reviewed individually.
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