Practical AI skills insights
Stanford's 2026 AI Index found AI still fails roughly 40% of real workplace tasks. That number isn't a reason to use AI less — it's why the person who can catch those failures is worth more than the one who just generates output.
5 min read
In one week: Codex connected to 90+ business tools, Claude Code Routines went plain-English, and nine AI agents outperformed human researchers at $22 an hour. Nobody has the playbook yet. Here's where to start.
5 min read
The hours you spent last year sharpening prompts are worth less this year. The skill that separates effective AI users in spring 2026 is management: scoping the task, writing the guardrails, and choosing where to step back in.
5 min read
Andrej Karpathy published a system that turns a folder of raw notes into a living, self-updating wiki — without writing a word of it himself. The practical version is closer than you think.
5 min read
Anthropic's Cowork, Perplexity's Comet, and ChatGPT in CarPlay all launched within weeks. AI agents are no longer a developer concept. Here's how to actually use them.
5 min read
Companies over-delegating cognitive work to AI are eroding the human skills that made them competitive. The risk isn't replacement. It's atrophy.
7 min read
AI just passed human baselines on desktop tasks. The people building with it most still review every output. The skill that matters now isn't prompting — it's supervision.
6 min read
The biggest gap in AI adoption isn't technical knowledge — it's the practical skill of knowing when and how to use AI effectively at work.
6 min read
OpenAI killed Sora and redirected compute toward automated researchers. That's a capital allocation signal about which knowledge work skills survive. Three specific ones to invest in now.
5 min read
Practical AI skills, sent when there's something genuinely useful to share. No filler, no hype.