AI Repurposing

The problem

B2B SaaS CEOs and venture partners were recording 45-minute podcast interviews and webinar keynotes, but letting the recordings sit idle on YouTube without extracting written text or vertical video clips.

The offer

The 'Thought-Leader Engine': Hand over one raw webinar or podcast audio file per week, and receive 5 polished LinkedIn thought-leadership posts, 1 Substack newsletter essay, and 3 vertical video shorts with captions in 72 hours.

How it was built

Phase — Free Proof of Concept

Transcribed 3 venture capitalists' podcast appearances for free, generated carousels, and sent them via direct message. Two immediately converted into paying revenue/month retainers.

Phase — AI Workflow Hardening

Configured custom Claude prompt chains tuned specifically to each client's tone of voice, reducing draft creation time from 4 hours to 30 minutes.

Phase — Hiring Human Polishers

Employed two junior editors to review and humanize AI outputs, ensuring no robotic phrasing reached client approval portals.

Phase — Tiered Expansion

Upsold existing accounts to a revenue/month tier that included ghostwritten X/Twitter threads and personal newsletter distribution.

How they got customers

  • Direct professional networks outreach to recently funded Series A and Series B CEOs whose social accounts were dormant
  • Delivering a finished 'sample week' of content completely free before asking for a contract
  • Partnering with podcast production agencies that lacked in-house written editorial capability

What went wrong, and the fix

AI hallucinations and generic advice made early drafts feel bland. Solved by requiring clients to send 3-minute voice notes answering specific prompt questions to inject proprietary founder anecdotes.

What to take from this

  • Do not sell 'AI services'; sell the business outcome of an active, authoritative personal brand.
  • Clients do not pay for the LLM; they pay for the editorial judgment that removes AI cliches.
  • Retainer contracts with clear weekly deliverables create compound MRR stability.

Tools used

  • AI Language Model
  • Industry Standard Tool
  • Database Tool
  • Payment Processor

About this story

This is an illustrative composite case study representing common patterns in this business model. It does not represent a specific real founder.