An AI brief with a price on the button
A sales-intelligence company planned to start charging AI credits for its intelligence brief. Until then it had been free.
- The ask
- Redesign the brief for the day it costs credits: before, during and after the click.
- The problem
- A click that used to be free would now spend money, and nothing told people what they’d get for it.
Built for a laptop screen.

The research
I put ChatGPT on a deep investigation of UX patterns for AI transactions. It came back with 24 sources. Three findings stood out.
- 1
Show the value, not only the price.
“Someone can understand the price perfectly and still hesitate because they cannot predict whether the result will be useful.”
- 2
Surprise spending hurts as much as the price.
“Unintended automation and unclear rerun behavior can be as important as the displayed price.”
- 3
Trust has to follow the evidence.
“Citations can increase perceived trust even when they do not support the answer.”
What existed
The brief starts writing the moment a company page opens, from a small card in the corner. The bar under the tabs explains the score and the brief, but it isn’t connected to either.

- 1
No confirmation.
Opening a page spends the credits.
- 2
No sense of value.
Nothing says what you’ll get or whether there’s enough data. A one-person firm still got a confident sales pitch, so people could feel ripped off.
- 3
No connection.
The score bar and the brief sit apart, and the open brief covers the data it was built from.
What I designed
A panel beside the page, in three steps.
1 Before: confirm the spend
The price is on the button. One line says whether there’s enough data for a good brief.




2 During: show the work
Each step shows what it found. Stop is free until the last step.

3 After: act on it
Every fact links to its source and says whether it’s observed or inferred. One next step: Draft outreach.

How I worked
Three hours, four AI sessions running side by side. I set the direction and reviewed the prototype out loud four times.
- ChatGPT
- The research.
- Claude Code
- Reviewed the live product in my browser and built the prototype.
- Claude Code
- Rebuilt the product’s page so the design sits in context.
- Claude Code
- Gathered 66 examples of how AI tools show what a run costs.
The product isn’t named. The page around the panel is a rebuild of its page and the panel is mine. Numbers are real, from a trial account, and people are shown by job title.