Unmetered

Every team has an AI feature they haven't shipped. Not because it's hard to build — because of what happens if it works. A free tier becomes a metered liability. A generous user costs real money. So the feature sits in a branch, and the product ships without it.

The instinct is to price around the problem, and that sets a floor: whatever you charge has to clear inference plus margin. But the people using your product already pay for a frontier model — often a better one than you could afford to call. That subscription sits idle the entire time they're on your page.

So don't call a model. Hand the work to the one they already have. A framed prompt goes out, a structured result comes back, and your side of the exchange is parsing — which costs nothing at any scale. The bill stops tracking usage, and launch stops being a financial event.

We'll do the whole round trip live: a subject nobody chose in advance, a prompt handed off to an outside AI, the result pasted back, and a working database appearing from it — real tables, real migrations, real rows. No model is called at any point in that loop, and the balance that would pay for one does not move.

Audiences leave able to use this with whatever they already have: how to tell which half of an AI feature is actually expensive, a pattern for getting structured results back from any model without trusting it to be well-behaved, why the manual step in the middle is a security property rather than a limitation, and a clearer sense of which parts of a product should carry a meter and which should never have had one.