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.
Ethan Mollick, Charity Majors, and Simon Willison reached the same conclusion independently within five days. The professionals who get the most from AI are not the best prompters — they are the best judges.
5 min read
On June 15, 42 US state attorneys general served OpenAI with a subpoena explicitly naming 'sycophancy' as a consumer harm. What that legal framing means for every professional using AI to think.
5 min read
A Derbyshire officer was removed from duty and placed under criminal investigation for allegedly using AI to fabricate evidential material — the UK's first criminal case of its kind. The failure mode that caused it appears in professional documents every week.
5 min read
An unsupervised AI agent submitted plausible-looking but incorrect fixes to Fedora Linux's bug tracker and got LLM-generated code merged into a production release before anyone caught it. The lesson isn't about open-source projects — it's about what 'looks right' actually verifies.
5 min read
With iOS 27, you can route Siri through Claude, ChatGPT, or Gemini. That choice is the easy part. The skill is knowing how to frame the ask in the quick moments — before a meeting, between tasks, on a walk.
5 min read
Dario Amodei's 15,000-word essay said AI may cause permanent job displacement. The press release that followed the same day created 1,000 paid roles for people who can help organizations adopt it. The skills those roles need are learnable now.
4 min read
Three product shifts in five days — Mollick's 'patron, not wizard' frame, OpenAI's reasoning tiers, and Claude's scheduled agents — prove the professional AI skill stack has moved on from prompting.
6 min read
Three AI trust failures in five days: silent output degradation, an agent acting without permission, and a government shutdown. Each one points to a skill most professionals haven't built yet.
5 min read
Anthropic revealed that AI writes 80% of its own code — and called for a global pause option in case something goes wrong at scale. If you're using AI for any workflow output that matters, you already face the same question: how do you maintain oversight when volume outpaces review?
5 min read
Practical AI skills, sent when there's something genuinely useful to share. No filler, no hype.
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