There was one person I just wasn't clicking with, and I couldn't say why. So I did something a little embarrassing: I had AI build a communication profile of me, then one of them, then compared the two side by side. What came back wasn't dramatic. It was just true, and I hadn't sat with it before. Includes the exact prompt I use to build a stakeholder profile from meeting transcripts.

I'd made fifteen AI use case videos with no script format, just whatever felt right that day. I transcribed all of them, fed them to NotebookLM, and asked if there was a pattern I couldn't see. There was. Six parts, and I'd been using them the whole time without knowing it.

I built this from an actual presentation to a team that didn't know where to start with AI, then found myself using the same idea to teach my eighty-something relative about cryptocurrency. Four specific habits, nothing about better tools or more time, just moving AI earlier in what you're already doing. Pick one and see what happens.

I used to send my status report after one AI pass and my own read-through. Now five personas argue about it first, the business partner, the executive, the chief of staff, and two more, each built around someone who actually reads the thing. This isn't really about status reports. It's a structure you can point at any output you produce.

I used to check slides the hard way - clicking every object, eyeballing every font, hoping I'd catch what my eyes kept missing. Then I wrote a script to do it for me. My first reaction was: oh shit, that actually worked. What happened after I ran it four more times is the part nobody talks about.

Every meeting generates data about the people in it. Most of it lives nowhere — in your gut, in half-formed impressions. Here's how I started turning meeting transcripts into communication profiles I actually use.

Meeting transcripts are a record of what was said. That's not the same as what was meant. Here's how I started using AI to find the signal I was too busy to catch in the room.

I wasn't avoiding AI because I doubted it. I was avoiding it because I thought it required a project. So I gave myself a constraint: if something would take less than 10 minutes to try, I'd try it. No optimization. No perfect prompt. Just a quick experiment layered into real work. What happened after wasn't what I expected.