Nabeel Ahmed.
← All work

Automation

Automated AI Transcript-to-LinkedIn Content Engine

Recorded calls held plenty of publishable material — now each transcript turns itself into drafted LinkedIn posts, ready to review.

  • n8n
  • OpenAI
  • LangChain
  • Google Docs
  • Google Sheets

Someone read the full transcript, highlighted anything reusable, then wrote each post from scratch and pasted it into a review doc.

How it runs

Each node is one step in the live workflow, in the order it fires.

  1. 1

    Pick up transcript

    A new transcript file in Google Drive triggers the workflow.

  2. 2

    Extract themes

    An LLM pass pulls out the distinct, publishable ideas and drops filler.

  3. 3

    Draft posts

    Each theme is written into a LinkedIn-shaped draft against a fixed tone and length brief.

  4. 4

    Stage for review

    Drafts are written into a Google Doc and logged in a Sheets content calendar.

  5. 5

    Approve

    A human edits and marks the row approved, which is the only manual step left.