AI Content Repurposer

Purpose

Transform a single transcript into multiple high-quality content formats including blog articles, LinkedIn posts, and tweet threads. Uses advanced AI-driven rewriting to extract core ideas, restructure narratives, and adapt tone and format per content type. Outputs are stored as drafts for human review before publishing.

Trigger

Manual prompt (user-submitted transcript)

Workflow

Manual Transcript Input
↓
Preprocess & Clean Transcript
↓
Extract Core Ideas + Key Themes (AI)
↓
Generate Content Variants (AI - parallel)
├─ Blog Article Draft
├─ LinkedIn Post Draft
└─ Twitter Thread (3–5 tweets)
↓
Store Drafts in Airtable
↓
Human-in-the-Loop Review (Approve / Edit / Reject per format)

Steps

  1. User submits transcript via manual prompt.
  2. Transcript is cleaned and preprocessed (removes noise, structures text if needed). // manual, not AI
  3. AI extracts core ideas, key arguments, and supporting points.
  4. AI generates multiple content formats in parallel:
    • Blog article (long-form structured narrative)
    • LinkedIn post (professional, concise insight-driven version)
    • Twitter thread (hook + 3–5 structured tweets)
  5. All generated drafts are stored in Airtable as separate entries.
  6. Human reviews each content type independently:
    • Approve
    • Edit
    • Reject and regenerate
  7. Approved content is immediately published or routed to the next publishing step (depending on platform rules and availability).

Notes

  • All outputs are derived from a shared core idea extraction step to maintain narrative consistency.
  • Generation runs in parallel for efficiency but remains grounded in a single source transcript.
  • No automatic publishing is performed; all outputs require human approval.
  • System is extensible to additional formats (e.g. short-form video scripts, newsletters, carousel posts).
  • Designed for high-fidelity repurposing rather than simple summarization.