I lead the work.
I build around it.

I use it to turn meeting transcripts, email, calendars, action state, and forecast signals into verified summaries, daily debriefs, and weekly retrospectives.

I use it across multiple AI assistants to search the record and surface cold knowledge I have forgotten. Curated context, primary records, summaries, and extracted facts keep separate authority, and durable corrections wait for human review.

Summarizes articles from subscribed feeds, recommends what to read, skim, or skip, and brings the most relevant coverage together in The Brief, a daily synthesis shaped by my work and interests.

Scans labels, tracks bottle provenance and physical rack position, estimates value, and recommends what to drink from the wines actually on hand.

I use it to rehearse difficult decisions, pressure-test the package, and record what the model predicted before the real meeting.

Generates drafts in my actual voice and turns recurring draft-to-sent corrections into candidate lessons without allowing automatic promotion or sending.