Insights
Notes on research, technology and the practical work of turning ideas into something useful.
Guides
6 articles
Assessment in the Age of AI
A practical guide to designing assessment that embraces AI while making student understanding, judgement and adaptability visible.
Read article →The Work That Fits
Being good at something is not enough. Liking something is not enough either. This guide shows how ability and interest combine to create work you can grow into.
Read article →From AI User to AI Builder
A five-minute map for one focused afternoon: set up your AI workspace, build one useful thing, test it and publish it for the world to see.
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Fear-Setting: The Exercise Every Founder Should Practice
Founders often disguise fear as timing, market conditions or waiting until the work is ready. Fear-Setting turns vague anxiety into risks you can define, prevent and repair.
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From Prompt to Production: The AI Builder's Checklist
The gap between 'it works on my laptop' and 'it runs reliably for users' is filled with details nobody talks about in tutorials. Here's the real deployment checklist.
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Building Your First Autonomous Agent: A Practical Guide
Forget the hype. Here's a step-by-step approach to building an agent that actually solves a problem you have today, not a theoretical one you might face tomorrow.
Read article →Essays
5 articlesAGI Meets Brooks and Wirth
When artificial developers and compute become abundant, software does not simply get easier. Brooks's coordination problem and Wirth's appetite for bloat may return at machine speed.
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Why Your Data Analysis Never Feels Done (And What to Do About It)
You've cleaned the data, made visualizations, found patterns. But it still doesn't feel complete. Here's why data analytics students struggle to ship, and how to know when analysis is actually finished.
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Analysis Paralysis: Why Data Analytics Students Never Start (And How to Break Free)
Too many tools. Too many approaches. Too many 'best practices.' Here's why data analytics beginners get stuck before they even open a dataset, and the simple mindset shift that fixes it.
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Understanding Agentic AI: Beyond Simple Prompts
The shift from reactive chatbots to autonomous agents isn't just about better prompts. It's about giving AI the ability to plan, act, and learn from results.
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Tool Use Patterns in AI Agents: What Actually Works
Giving an AI access to tools sounds simple until real-world edge cases appear. These patterns help make tool use easier to inspect and test.
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