Sign in

Credit-Based AI Offer

Sell prepaid credits that meter every AI action, making cost transparent and refills the natural next purchase.

Pro involved Software Offers

What it adds

The builder turns the source files into a prepaid-credit model where each AI action draws down a credit balance and running low prompts a refill. It converts by making AI cost feel controllable — buy a bucket, watch it deplete, top up — instead of an open-ended meter. The primary goal is the first credit purchase followed by a repeatable refill loop.

What your builder is told to do

7

The actual instructions, in order.
  1. 1

    Read the source action-cost files first and build a clear map of how many credits each AI action consumes.

  2. 2

    Write a headline that frames credits as controllable AI spend — a bucket you own, not an open meter.

  3. 3

    Design the credit-pack ladder from the source files so buyers pick a starting balance matched to their intended use.

  4. 4

    Build a visible balance component that shows remaining credits and estimated actions left at current pace.

  5. 5

    Trigger a low-balance prompt before credits run out, with one-tap refill and an optional auto-refill toggle.

  6. 6

    Show the per-action cost at the point of use so users connect each AI action to its credit draw, then give a single "buy credits" action.

  7. 7

    Specify responsive behavior: mobile keeps a compact balance chip and bottom-sheet refill; tablet shows balance plus pack options; desktop shows balance, usage history, and the pack ladder together.

Edge cases it handles

5

The things an agent skips when you only say "build a credit-based ai offer".
  • An AI action fails after consuming credits — define the refund-to-balance rule and honor it.
  • Per-action credit costs are missing from the source files — flag them; guessing corrupts billing.
  • Balance hits zero mid-task — pause gracefully and preserve inputs rather than discarding work.
  • Credits expire or roll over — state the policy only if the source files define it, else flag it.
  • Auto-refill triggers repeatedly from a runaway job — add a rate guard and cap.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Every AI action's credit cost matches the source files.
  • Remaining balance and estimated actions-left are visible in-product.
  • A low-balance prompt appears before credits are exhausted.
  • Failed-action credit handling is defined and non-punitive.
  • The credit-pack ladder and per-action cost display use only source-file values.
  • Mobile, tablet, and desktop balance/refill layouts are verified.
  • The builder reports source files used and flags unresolved credit costs, expiry, or refund rules.

Related offer files

How it works

  1. 1

    Copy the link

    Grab the Markdown blueprint URL for this offer type.

  2. 2

    Give it to your builder

    Paste it into Claude Code, Cursor, Codex, or whatever AI builder is already working in your app.

  3. 3

    It maps, then builds

    Your agent reads the blueprint first, then builds the offer into your app around the product, audience, and stack.

Works with your stack

These blueprints are written to adapt. They tell the agent to detect your framework, match your existing design system, and use your source files instead of guessing the offer.

Need it tighter than that? Customize the offer file and tell it exactly which source docs and stack to use.