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AI Automation Pack Offer

Ship prebuilt AI automations that produce a finished result on day one instead of handing users an empty builder.

Pro simple Software Offers

What it adds

The builder converts the source files into an AI-automation-pack offer where prebuilt, ready-to-run automations deliver a finished outcome immediately rather than requiring users to build from scratch. It converts by removing the blank-builder problem — install a pack, get a working automation, then adapt it. The primary goal is fast activation through prebuilt automations that leads to paid, expanded usage.

What your builder is told to do

7

The actual instructions, in order.
  1. 1

    Read the source automation-pack files first and define what each pack produces and what inputs or connections it needs.

  2. 2

    Write a headline that contrasts an instant working automation against the pain of building one from an empty canvas.

  3. 3

    Build a pack catalog where each automation states its concrete output and the setup it requires.

  4. 4

    Make installing a pack a guided flow: connect required inputs, confirm, and see the automation run to a real result.

  5. 5

    Guide users from the working pack to adapting it, chaining packs, or building their own — the expansion path.

  6. 6

    Define the pricing, credit, or usage model using only source-file figures, with a single "install pack" action.

  7. 7

    Specify responsive behavior: mobile shows packs as cards with clear output and install; tablet shows the catalog beside setup requirements; desktop shows the catalog, pack detail, and run status together.

Edge cases it handles

5

The things an agent skips when you only say "build a ai automation pack offer".
  • A pack requires a connection the user has not set up — guide them through it rather than failing silently.
  • Pack capabilities are undefined in the source files — flag them; users must know what a pack really does.
  • A pack run consumes credits or usage — show the cost before running (coordinate with any credit model).
  • A pack partially fails mid-run — report what completed and provide a safe retry.
  • A user wants to modify a pack — ensure adaptation does not break the original automation.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Each pack's output and required inputs match the source files.
  • Installing a pack is a guided flow that ends in a real, running result.
  • An expansion path from prebuilt pack to adaptation or custom builds exists.
  • Any run cost (credits/usage) is shown before running.
  • Partial-failure reporting and safe retry exist.
  • Mobile, tablet, and desktop automation-pack layouts are verified.
  • The builder reports source files used and flags unresolved pack-capability or pricing assumptions.

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.