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Content & CreativeAny

Audit and rewrite marketing copy to strip unverified claims

A dual-agent system scores landing page, cold email and pitch deck copy against strict rubrics, then rewrites it to remove fluff and unsupported claims.

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Use case overview

A dual-agent system scores landing page, cold email and pitch deck copy against strict rubrics, then rewrites it to remove fluff and unsupported claims.

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Reported experience

  1. What they did

    The builder made two agents on gpt-4o-mini with low temperature and fixed seeds. The evaluator scores copy against mode-specific rubrics (landing page, cold email, pitch deck) and caps Specificity at 7/10 when no verifiable metrics exist. The rewriter is forbidden from strengthening claims, turns unproven percentages into defensible outcomes, and strips Markdown.

  2. How it went

    The source is a launch post and reports no results or numbers from real use. It invites users to try to bypass the guardrails and gives brutal feedback, with 5 free credits on sign-in.

  3. Worth knowing

    A hidden watermark in the rewritten text stops users re-auditing already optimized copy and wasting credits; credit deductions use Firestore transactions to avoid race conditions.

Example prompts

Try with Claude Code
Read my marketing copy in [file path for landing page, cold email, or pitch deck]. Score each section against a strict rubric: every claim must be specific and verifiable, with no fluff, superlatives, or unsupported numbers. Then write a revised version that removes or flags every unsupported claim, and give me a table of what you changed and why.

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