Practical AI skills for people whose job isn't AI. Most posts end with a drill, because reading about a skill isn't having one.
The productivity gap between professionals using the same AI tools is enormous, and it isn't explained by tool access, seniority, or technical background. Four habits account for most of it.
5 min read
Three AI failure modes got named publicly in the same week — forwarding raw AI answers without reading them, optimising for speed over quality, and letting the model think while you sign off on the result. Each one has a skill that fixes it.
5 min read
Claude Pro subscribers consume $200–400 of compute per $20/month. OpenAI loses $1.22 for every $1 earned. GitHub Copilot switches to usage-based billing June 1. The price you pay for AI today is not the price it costs to run. Here's how to plan for when that changes.
5 min read
Enterprise AI rollout advice is written for organisations with a change function. For a team of ten, most of it is overhead. Here's the sequence that works at small scale.
6 min read
Josh Comeau watched an expert developer triple their output with AI and watched beginners spend three hours prompting a model to solve something they fixed manually in 30 seconds. The difference wasn't the model. It was what each person brought to it.
4 min read
Anthropic's founders went on The Oprah Podcast and told millions of non-technical listeners to stop fearing AI and start learning it. The harder question — the one the podcast couldn't answer — is what to actually do first.
5 min read
A prompt asks for output you'll read next. A brief defines work that runs without you. The difference is four things a prompt never has to specify — and skipping them is why most agent deployments quietly fail.
5 min read
Meta watched employees work across Gmail, GChat, and internal tools — then laid off 8,000. The lesson isn't about surveillance. It's about what AI cannot learn from watching you, and why that tells you exactly where to put your effort.
4 min read
Two Hacker News posts hit the front page the same week with a combined 1,374 points. One named the upstream problem — vague briefs going in. One named the downstream problem — raw output going out. The model was fine in both cases.
4 min read
Practical AI skills, sent when there's something genuinely useful to share. No filler, no hype.
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