AISynq

Free tool

Will your AI feature pay for itself?

Most teams work out the cost after they have built it. Put your numbers in and find out now, before an engineer spends a month on it. Takes about a minute.

Your numbers

Rough numbers are fine. You are checking whether you are near the line, not being exact.

The usual right answer for production features. Near-frontier quality at a fraction of the cost.

Everything you send it

What it sends back

How often one user uses it

$
%

List prices as at 19 August 2026

What it costs you

Each use costs$0.021
Per user, per month$0.840
That is this much of what they pay you1.7%
You can afford to spend$12.25

Using 7% of what you can afford

The full answer

It pays for itself. See how much room you actually have.

  • The point at which this stops paying for itself
  • What it costs if people use it 2x, 5x or 10x more than you think
  • The same feature priced on every model, cheapest first
  • What to change, in the order worth changing it

We send you a copy, then roughly two emails a month. One click to stop.

Worked examples

Already worked out, for nine common features

Each one opens with real numbers filled in, so you can see roughly what that feature costs before you change anything.

One limit worth stating

This models the inference bill and nothing else. It does not price the engineering time to build the feature, the work of handling the cases where the model is wrong, or the support load that arrives when a user gets a confident wrong answer. On conversational features that last cost is often larger than the tokens. So a feature that passes here has cleared one hurdle rather than all of them, and the honest next step is the one that names what else it would cost. That is what the Identify step is for.

FAQ

Questions about this tool

Next step

If the number came out uncomfortable and you would rather check the arithmetic against your real traffic than your estimate of it, that is a 30-minute conversation.

Book the call

A 30-minute call. No deck.