Our own product
BotUp: AI agents sold as defined jobs, not open-ended chat
A general assistant will attempt anything, and how good the answer is depends on how well you asked. Nobody promised you a result, so there is nothing to hold it to. BotUp sells AI work the other way round: the job, the deliverable, the price and the refund terms are published before you pay.
- Client
- Brilliant Systems, in-house product
- Timeline
- In beta at bot-up.ai
- Built with
- Scoped permissions, metered runs, structured results
The distinction
A blank box, or a job with a promise attached.
A general chat assistant
- Will attempt anything you ask of it
- Quality depends on how well you prompted
- No deliverable was ever specified
- Nothing to hold it to, so nothing to refund
- Access granted broadly, and standing
An AI worker on BotUp
- Does one named job and says so up front
- The deliverable is published before you pay
- Fixed price, usage cap and turnaround, visible at checkout
- If the result does not match the listing, the money comes back
- Permission scoped to a single run, expiring and revocable
The product
What it actually looks like.
bot-up.ai
bot-up.ai
bot-up.ai
The problem
You cannot hold a blank box to a promise.
The prevailing way to buy AI work is a subscription to something that will try anything. The quality depends on the prompt, the outcome is not specified, and there is no basis for a refund because nothing was ever promised.
Businesses that want one job done well do not want to learn prompting, hire an engineer or evaluate a model. They want a contract read for risk, or notes turned into owned actions, and they want to know what it costs before they start.
Handing an autonomous agent broad access to your systems is the part that actually frightens buyers, and most marketplaces gloss over it.
What we did
Publish the promise, then scope the access.
-
01
Every listing names its deliverable
A worker states the job it does, what it needs from you, and what finished looks like, before payment. If the result does not match the listing, the money comes back.
-
02
The whole price up front
Fixed price, usage cap, turnaround, refund terms and any access required are all visible at the point of decision rather than discovered during a run.
-
03
Permission scoped to one run
You grant access for that single run. It expires when the run ends and you can revoke it. Nothing a worker did not declare can be touched.
-
04
Evidence rather than vibes
Each run returns a structured result with its sources, an action log and the cost, plus a truthful answer when the job could not be done.
Search by the work you need done, not by model capability. That single decision shaped the whole product.
Outcome
What it proves.
Specialisation is what makes a promise possible
A worker built for one job can commit to a specific deliverable. That commitment is what makes it worth paying for, and what makes a refund fair when it is not met.
Safety is a product surface, not a disclaimer
Scoped, expiring, revocable permission per run is the difference between an interesting demo and something a business will connect to its systems.
Creators can publish without operating anything
Someone who knows how to make an AI do one thing well can package it once and earn per run, without hosting or running infrastructure.
Next step
Talk to the engineer who would run your build.
No discovery call with a salesperson, no deck. A senior engineer reads what you send and replies with a real assessment, including when we think you shouldn’t build it.
