The question I keep hearing from founders and execs is the same: how do I create more space for deep AI exploration? Here's what I'd do.
Most AI automation flows one way: absorb from the world, route the output back to you. Morning briefings, meeting follow-ups, data analysis. All of it makes you faster. But it only makes *you* faster.
Your team still pings you for the same things they always have — bug reviews, design feedback, roadmap questions. Your judgment is stuck inside your head, behind a calendar.
Your expertise is a bottleneck until you externalize it.
If you always ask the same three questions when reviewing a bug, that's a skill waiting to be built. Engineers get your take as a first pass, without the Slack message, the async thread, the 30-minute sync. You still shaped the answer. It just didn't cost you time.
Candidate eval. Design review. Prototype feedback. Onboarding new hires. Anywhere you find yourself saying the same thing for the tenth time — that's where your leverage is hiding.
Automating yourself was phase one. The real move is pushing your intelligence out. Make everyone around you smarter without showing up. Then push your team to do the same. The time they get back is where the next good idea comes from.
The good news is you're closer than you think. The rubrics, feedback, review comments, and decision criteria you already write down — that's a skill waiting to be packaged. Point Claude at your notes, transcripts, Notion pages, Google Docs and ask it to spot the patterns.
agentskills.io has the spec, skills.sh has examples.