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AI for Absolute Beginners
Learn what AI is, what it is good at, where it fails, how to write clear prompts, how to compare tools, and how to stay safe. No tech background required.
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Beyond the Prompt — Making LLMs Work for You
From prompt engineering through RAG, agents, MCP, evals, and multi-agent systems. Practical knowledge for anyone ready to build with LLMs.
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Post-Labour Economics — Risks, Opportunities & How to Think For Yourself
A 20-lesson course on the economics of automation and the future of work. What changes, what doesn't, who gains, who loses, and how to reason about claims that all sound urgent.
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AI Agency Foundations — Unit Economics, Selling & Scaling Without Hype
A 22-lesson course on running a small AI agency: unit economics, market choice, service-stack design including platform setup and channel automation, legal & AI risk, sales, retention and exit. No hype, no commercial pitch.
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AI SEO Foundations — Optimising for AI Agents, Generative Search & Answer Engines
A 16-lesson course aligned with Google's May 2026 generative-AI search guide. Covers GEO, AEO, schema, the three ways agents read a website, robots.txt and the llms.txt debate, agent protocols (MCP, AP2, NLWeb, UCP, WebMCP), off-site signals, freshness, measurement, the five-step audit, the first-mover window, and a calibration on Google's official position.
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Personal Productivity in the Age of AI — From Time Maps to Self-Improving Systems
A 22-lesson course mixing the productivity literature (Drucker, Newport, Allen, Forte) with the AI toolkit (models, context, skills, hooks, sub-agents, MCP, headless workflows). Beginner to advanced, with the peer-reviewed out-of-the-loop performance problem at its centre.
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