Why I built AI Call Prep: most sales tools help you send, almost none help you know who you're talking to

I run a small company and I take a lot of sales calls. For years the pattern was the same: 30 minutes before a call I would frantically Google the prospect, skim their LinkedIn, open six tabs, and still walk in half-prepared. On busy days I skipped it and winged it. Prep is the first thing that gets dropped when the calendar fills up.

So I built the thing I wanted. It watches my calendar and before each call drops a briefing in my inbox: who the person is, what their company does, their likely pain points, a few ways to open. No tabs. No digging. It just shows up.  That was the Chrome extension. Then this year I kept noticing the same thing while everyone built AI sales agents: the agent could write a great email but had no idea who it was writing to. Same wall I had hit, just automated. The model was never the problem.

The missing piece was the research. So I turned the engine into an API. Send it a prospect, get back the company overview, the decision-makers, the pain points, the opening plays. One call. The layer your agent needs before it writes a word.

That is the whole reason it exists. I am building the part that comes before the send. Still early, still figuring it out in public.

Happy to answer anything about how it works or what I have gotten wrong so far.