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Staying current
August 19, 20264 min read

How to keep up with AI without drowning

The field changes weekly and most of it doesn't matter to you. A twenty-minute habit that catches the changes that do.

Keeping up is not the same as reading everything. There are only three kinds of news that should change what you do:

  1. A model got meaningfully better at something you actually do.
  2. A price or a limit changed on a tool you rely on.
  3. A tool you use changed its terms about your data.

Everything else — benchmark arguments, funding rounds, feature announcements for products you don't use — is entertainment. Enjoy it if you like it, but don't confuse it with learning.

The twenty-minute weekly habit

  • Ten minutes: one roundup of what actually shipped. One source, not five.
  • Five minutes: check anything affecting the tools already in your workflow.
  • Five minutes: one small experiment on real work. Not a tutorial — your own task.

That last five minutes is where the learning happens. The rest is maintenance.

Watch finished workflows, not launches

Seeing someone walk through a workflow they actually use teaches more than any announcement, because you see where the effort went: the prompt they rewrote four times, the step they left manual, the thing that broke in week two. Launch posts never show that part.

Try this today

Put a recurring twenty-minute slot in your calendar and give it exactly one job: try one new thing on real work.

Practise this with other members

Weekly office hours, guided learning paths, a weekday tip archive and a library of templates and prompt packs. 7 days free, then $49/month, cancel anytime.

Members also get the prompt library — every copy-ready prompt from the archive, free to download.

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