Improve The Proof Plan

Rebuild a thin evidence section by matching each surviving doubt to the specific kind of proof that actually settles it.

Free moderate Offer Improvement Recipes

What it adds

Fixes the offer whose credibility rests on generic reassurance that answers no particular doubt, leaving buyers unconvinced at the decision point. The AI builder inventories the proof already available in the source files, lists the doubts the offer raises, and matches each doubt to the evidence type that resolves it. The outcome is a leaner evidence section that addresses real hesitation, with gaps flagged rather than filled with invention.

What your builder is told to do

8

The actual instructions, in order.

  1. 1

    Inspect the source files and list the specific doubts buyers raise, in their own words, ordered by how often they appear.

  2. 2

    Catalogue every piece of evidence the source files actually contain — demonstrations, specifications, process documentation, credentials, sample outputs, third-party references — and record where each is documented.

  3. 3

    Match each doubt to the proof type that resolves it: does-it-work doubts need demonstration, will-it-work-for-me doubts need situational similarity, can-they-deliver doubts need process or track record, and is-it-worth-it doubts need comparison or specificity.

  4. 4

    Place each matched proof directly adjacent to the claim that triggers its doubt, rather than in a separate evidence block far from the relevant statement.

  5. 5

    Record every unmatched doubt as an evidence gap with a note on what would close it, and do not paper over any gap with generic reassurance or invented material.

  6. 6

    Separate structural changes from copy changes: structural work is proof placement, the collection process for missing evidence, and consent or permission tracking for anything customer-supplied; copy work is captioning each proof with the doubt it answers and removing evidence that answers no listed doubt.

  7. 7

    Specify responsive behavior: on mobile, each proof sits immediately beneath its related claim with media constrained to viewport width; on tablet, claim and proof render as paired columns; on desktop, proof appears in the margin alongside its claim so both are read together.

  8. 8

    Define tracking: measure conversion rate, scroll depth through claim-and-proof sections, and the change in pre-sale question volume per doubt category. Rollback rule — if a doubt category's question volume does not fall after its matched proof ships, replace that proof type rather than adding more of the same.

Edge cases it handles

5

The things an agent skips when you only say "build a improve the proof plan".

  • Never create, embellish, or paraphrase a testimonial, result, case study, or statistic; use only evidence documented in the source files, verbatim.
  • Where customer-supplied evidence is used, confirm documented permission exists before publishing it.
  • Preserve the exact wording and any qualifiers attached to existing claims; trimming a qualifier changes the claim.
  • If a doubt has no available proof, report it as a gap and recommend a collection method rather than substituting weaker evidence.
  • Remove evidence that answers no listed doubt, even when it is impressive; volume of proof is not persuasion.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.

  • A doubt list in buyers' own words exists, ordered by frequency, and an inventory of real evidence is recorded beside it.
  • Every doubt is either matched to a proof type or explicitly logged as a gap with a proposed collection method.
  • Each proof is placed adjacent to the claim that triggers its doubt and captioned with the doubt it answers.
  • Before and after evidence sections are documented, including anything removed for answering no doubt.
  • No new testimonial, result, statistic, or case study appears that is not present verbatim in the source files.
  • Mobile, tablet, and desktop placements of claim-and-proof pairs are each specified.
  • The builder reports which source files it used, lists every evidence gap, and flags any permission status it could not confirm.

Related offer files

Offer Improvement Recipes

Create An Order Bump

Insert a single low-friction add-on at checkout that completes the purchase without pulling attention off the main decision.

Build This Offer: Create An Order Bump

Offer Improvement Recipes

Split Into Tiers

Break a single take-it-or-leave-it offer into tiers that capture buyers at different budgets without gutting the core promise.

Build This Offer: Split Into Tiers

Offer Improvement Recipes

Repackage As A Bundle

Merge scattered standalone products into one coherent bundle solving a complete problem, priced below the sum of its parts.

Build This Offer: Repackage As A Bundle

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.