ai-marketing-panel
by rodaddy
An agent skill kit for Claude or Codex that builds a panel of researched customer composites from your own evidence, such as support tickets, sales calls and reviews. Each composite reacts separately to a landing page, price or email, and you get back a synthesis and a scored verdict.
- Stars
- 56
- Licence
- MIT
- Runs on
- Your computer
- Setup
- Moderate
- Language
- TypeScript
- Age
- 67 days
What you can do with it
- Test a landing page, price or email against five to fifteen researched customer composites before launch
- Get separate reactions, a synthesis that keeps disagreements, and a weighted score with three suggested rewrites
- Record predictions and later real outcomes to check how well the panel's verdicts match reality
Make money with it
A freelance copywriter or marketing consultant could offer a pre-launch copy and pricing review, using the panel's findings as part of the deliverable.
An idea, not financial advice. Check the licence before charging for anything built on it.
Ways a business could use it
- Check landing page copy, pricing and email subject lines before launch, instead of paying for a commissioned focus group
- Give clients a structured critique of their marketing drafts as part of a copywriting or consulting service
Can you use it commercially?
Free to use, change and sell, including in paid products. Keep the copyright notice.
Not legal advice. Read the project's licence file before building a product on it.
Getting it running
Clone the repository, check you have Node 22.18 or later, then drag the zipped kit into the Claude app or point Codex at the folder.
Follow the official instructions in the project README.
Things to check
- Needs a Claude or Codex subscription or model usage, which costs money
- Results are from simulated composites, not real customers, so treat them as directional only
- Cost and time savings figures in the README are unmeasured estimates
- Web chat use is unverified and loses the script-enforced checks
Who's talking about it
Checked 29 Oct 2026. Summary drafted by AI from the project's README.