Steps to build an AI lead magnet
This resource is based on Your lead magnet is homework, here's the fix, featuring Shikshita Juyal of Crework Labs, published on the AI Lab by ActiveCampaign.

Get the checklist
Before you start
Make sure you:
- Create a ChatGPT or Claude account: free tier works for brainstorming, Pro/Plus recommended for longer conversations
- Sign up for a vibe coding platform: Lovable, Replit, or Cursor (Lovable is what Juyal uses)
- Gather your positioning materials: service descriptions, past client results, what makes you different from competitors, anything you want the lead magnet to reflect
The workflow
Phase 1: Brainstorm your lead magnet concept
- Identify the single core problem your target audience faces: what do customers come to you for?
- Brainstorm 10 lead magnet ideas with ChatGPT: use the conversion strategist prompt from the post (interactive, personalized, completable in under 2 minutes)
- Review existing lead magnets: upload current PDFs or ebooks to ChatGPT and ask how an interactive version might work
- Pick one concept that shows off what your business does best in a small, tangible way
- Define the minimal user input: a website URL, a PDF, a short form (ask as little as possible)
Phase 2: Plan and build with AI + Lovable
- Tell ChatGPT to act as your CTO: describe your chosen lead magnet concept and ask it to map out the ideal user inputs and outputs
- Plan the conversion hook: decide what creates urgency (Juyal uses a “score” that emphasizes opportunities for improvement)
- Define the opt-in exchange: what you ask (email, discovery call booking) and what they get in return (full report, consultation)
- Feed ChatGPT your unique approach: share positioning, what makes you stand out, what you don’t do (no black-hat tactics, no jargon, no overpromises)
- Ask ChatGPT to write training data for Lovable: compile the conversation into instructions for the vibe coding platform
- Drop instructions into Lovable: describe inputs, company profile, and backend flow in plain language
- Build and preview your first version: expect it to look polished but need refinement
Phase 3: Test, tweak, and improve
- Add clarifying question logic: train the app to ask for missing information instead of guessing (“Not enough data” responses)
- Force the model to show its math: for tools with metrics or calculations, make reasoning visible to build trust
- Test with 3–5 real users: watch where they drop off or get confused
- Refine prompts in Lovable: be specific about what’s wrong: “For X input, you gave Y output, but the expectation is Z because of A, B, C reasons”
- Set up a monthly review cadence: update training data with new examples, catch repetitive suggestions, flag off-brand outputs
- Feed anonymized past outputs back into the model: so it learns what “great” looks like over time
Quick reference
- Total time: 4–8 hours for V1 (brainstorm through first working version)
- Tools needed: ChatGPT or Claude, Lovable (or Replit/Cursor), your existing positioning materials
- Key output: A live, interactive AI lead magnet that gives website visitors instant personalized value and captures leads
Ready for the full story?
This resource is based on Your lead magnet is homework, here’s the fix, featuring Shikshita Juyal of Crework, published on the AI Lab by ActiveCampaign.
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