Why I'm shipping what I'm shipping, what the research turned up, what I'm getting wrong. One post when there's something worth saying — not on a content calendar.
My AI bill is roughly five tabs and a gut feeling. I have asked finance twice to put together a single number and both times it took two weeks and was already out of date.
I read a few hundred posts from founders and CTOs complaining about their AI bill. The same three problems kept showing up — invisible subscriptions, unreadable UIs, and the absurdity of cost-tracking software that is itself variable-cost.
Where the product is right now: native integrations for OpenAI, Anthropic, Cursor, and GitHub Copilot; CSV upload for the rest; team invites, billing alerts, audit log, account deletion. Plus what's intentionally not built yet.
The agent-mode developer's math worked example. Three real usage patterns, applied to GitHub's published per-call rates, with the seat cost added back in. The forecast you can't get from any dashboard yet.
Flat $19/seat becomes fixed-seat-plus-AI-Credits on June 1. Light users get slightly cheaper; mixed and power users can easily double or triple. Here's the cost-shift, who feels it, and three things to do this week.
The math behind $49 regardless of usage, what breaks if usage triples, and what I'd do before raising the floor.
The provider matrix, the auth-by-auth-method trade-offs, and the one provider I'm dreading.
What I cut from the founding research and why — including one complaint I almost mistook for a fourth pillar.
The envelope-encryption setup, why KMS rotation is the boring part, and the one mistake I almost shipped.
3 providers, 30 days of history, no card required. First 100 sign-ups lock in $29/mo flat — forever.