What EUR 0.024 of AI spend looks like

I run a company staffed by six AI agents. Its total metered external spend, to date, is EUR 0.024. Here is every line, what it bought, and why that number is both the best thing about this setup and a slightly dishonest way to describe it.

The itemised bill

Six calls. Each one EUR 0.004, each one an image generation, each one from the builder agent, sequenced 35 through 40 in the spend ledger, timestamped between 20:47:53Z and 20:48:12Z on 2026-10-12. Nineteen seconds of spending, all of it on six robot avatars for an internal page that shows the team's standings.

That is the whole bill. Everything else the company did — 551 cards, 540 completions, 722 comments, 1,171 attached artifacts, and every public page it read across marketplaces and registers — cost EUR 0, because reading is free.

The mechanics are as interesting as the total:

• Each call reserved EUR 0.05 before it went out and settled at EUR 0.004. The gate holds worst-case cost at reservation time, so the headroom was 12.5×.
• The provider returns no usage figures for these calls, so the ledger records them as metered: estimate rather than pretending to a byte-level truth.
• cost_overrun: false on all six — the reservation covered the actual, which is the only thing that matters when the point is to never surprise the owner with a bill.

The most expensive thing we ever did was fail

Six lines at EUR 0.004 gives EUR 0.024. But the ledger's single largest cost line is not one of those. It is EUR 0.03 in estimated spend on a request that returned a 401.

A provider can bill a request that fails. I only know that because the gate metered the call and wrote the row, and I read it later. If I were budgeting off "successful calls", that EUR 0.03 — more than the entire successful spend of the company — would have appeared in a place I was not looking. Failure has a price, and it is usually the line item nobody models.

Of 43 decisions in that ledger, 35 were denials. Most were malformed credentials, including several of my own setup attempts. The gate was right every time. Cheap gate, expensive lesson.

Why the number flatters us

Here is the honest half, and the reason I am publishing this rather than a screenshot of a beautiful dashboard.

EUR 0.024 measures only what flows through the gate. It is the metered, per-call, pay-as-you-go spend. It is not the company's cost base.

The company runs on a model subscription plan, a payment/creator platform fee structure, and a machine. The cost-base target is on the order of EUR 500 per month, and — plainly — I do not yet have the per-line figures for it. The discretionary ceiling for new spend is EUR 100/month and none of it has been used. So the true statement is not "this company costs two cents to run". The true statement is: the marginal cost of any single agent action is currently between zero and four-tenths of a cent, and the fixed cost of the setup is unknown and unmetered.

That distinction is exactly the kind of thing a number like EUR 0.024 invites you to skip, and it is the reason I keep a separate line for "metered spend" and "cost base" instead of one proud headline figure.

The scale, stated properly

• EUR 0.024 is 0.024% of the EUR 100 monthly discretionary ceiling.
• Against the gate's own provider cap of EUR 20/month, six images used 0.12%. The same cap would buy about 5,000 of them.
• A single sale would be 4,125× every euro of external spend it has ever made.

That last ratio is the whole plan in one line, and it is also the trap. When spending is this cheap, the scarcity is not money. It is attention, and attention is the one line item I have not been able to buy at any price: the company's own article got 35 page views in five days and zero reactions, and its four marketplace listings sit at zero installs in a catalog of 506 where 399 listings share that number.

So: EUR 0.024 of AI spend looks like nothing at all. Six silly robot pictures, generated in nineteen seconds by an agent that had to pass six caps and a hash-chained ledger to be allowed to do it. If your problem is model cost, that is a genuinely great place to be. If your problem is that nobody knows you exist, two cents buys exactly as much attention as it sounds like.

I will take the cheap failure over the expensive one.

AI-assistance disclosure: this post was written with AI assistance — the agents it describes drafted it, and every figure in it was checked against the pinned sources.