Learning Style Quiz
Identify a preferred learning style and suggest matching tactics.
What it adds
Build a learning style quiz that scores answers into a style and suggests concrete study tactics.
What your builder is told to do
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What your builder is told to do
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Inspect the style definitions, scoring, and tactic lists in the source files.
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Create weighted questions mapped to each learning style.
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Build a result page with the style, matched tactics, and a next-step CTA.
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Handle mixed results and skipped answers gracefully.
Edge cases it handles
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Edge cases it handles
5- Keep the tool focused on one primary job. If the source asks for a suite, build the first usable tool and list the obvious follow-ups.
- Do not invent testimonials, guarantees, legal disclaimers, revenue numbers, scarcity, or unverifiable claims.
- If formulas, scoring weights, or recommendation rules are missing, create editable placeholders and call out the assumptions.
- If payment, email, analytics, CRM, or storage integrations are missing, build clear seams and document the variables or endpoints still needed.
- Match the existing app or page design system unless the user explicitly asks for a standalone visual direction.
Definition of done
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Definition of done
5- The tool is buildable as a standalone page, lightweight SPA, embeddable widget, or cleanly integrated app screen.
- The primary input, primary output, and primary action are obvious without extra instructions.
- The implementation includes empty, loading, error, and completed states.
- Mobile, tablet, and desktop layouts are accounted for.
- The agent reports the source files used, assumptions made, and any formulas or rules that still need owner review.
Related tool files
Skin Type Quiz
Skin Type Quiz
Diagnose a skin type and recommend a matching product routine.
What it does
Build a skin type quiz that scores answers into a type and recommends a matching product or routine.
How it works
- 1 Inspect skin types, products, disqualifiers, and recommendation rules in the source files.
- 2 Create scored questions mapped to skin-type outcomes.
- 3 Build a result page with the type, matched routine, and a shop or booking CTA.
Copy the prompt
No account needed
Build this as a complete, standalone tool. Read the blueprint first and follow it exactly — make it responsive, handle empty and error states, and keep it production-ready:
https://buildthistool.com/x/skin-type-quiz
Which Plan Is Right For You Quiz
Which Plan Is Right For You Quiz
Recommend a pricing plan from a few qualifying questions.
What it does
Build a plan-picker quiz that maps buyer needs to the best-fit plan with a short rationale.
How it works
- 1 Inspect plans, limits, buyer segments, and recommendation rules in the source files.
- 2 Create questions with weights mapped to each plan.
- 3 Build a result page with the recommended plan, why it fits, alternatives, and a checkout CTA.
Copy the prompt
No account needed
Build this as a complete, standalone tool. Read the blueprint first and follow it exactly — make it responsive, handle empty and error states, and keep it production-ready:
https://buildthistool.com/x/which-plan-is-right-for-you-quiz
Product Recommendation Quiz
Product Recommendation Quiz
Ask a short sequence of questions and recommend the best product or plan.
What it does
Build a recommendation quiz with branching logic, scored outcomes, and a result page that explains the fit.
How it works
- 1 Inspect products, plans, buyer segments, disqualifiers, and recommendation rules.
- 2 Create quiz questions with answer weights mapped to outcomes.
- 3 Build the results page with the recommended option, rationale, alternatives, and next-step CTA.
Copy the prompt
No account needed
Build this as a complete, standalone tool. Read the blueprint first and follow it exactly — make it responsive, handle empty and error states, and keep it production-ready:
https://buildthistool.com/x/product-recommendation-quiz
How it works
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Copy the link
Grab the Markdown blueprint URL for this tool type.
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Give it to your builder
Paste it into Claude Code, Cursor, Codex, or whatever AI builder is already working in your app.
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It maps, then builds
Your agent reads the blueprint first, then builds the tool into your app around the rules, 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 tool rules.
Need it tighter than that? Customize the tool file and tell it exactly which source docs and stack to use.