SOCIAL MEDIA

Agent-run clip channel that programs cuts from your episode library

An autonomous agent works your back-catalog and new episodes, deciding which moments to clip, how to caption them per platform, and when to schedule.

CategorySocial Media
Enginepaperclip
Difficultyadvanced
Triggerchat
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat: set channel goals
  • ActionRead clipped/unclipped indexAirtableAirtable
  • ActionPull and transcribe a sourceElevenLabsElevenLabs
  • ActionSelect moments and per-platform captionsOpenAI
  • ActionSchedule cuts across platformsSocial publishing
  • OutputUpdate episode indexAirtableAirtable

What it does

Runs an ongoing agent that treats your whole episode library as raw material. It transcribes sources, judges which moments are worth clipping, tailors captions to each platform's voice, and paces scheduling to hold a consistent cadence, learning from what it has already posted.

When to use it

You want a clip channel that more or less runs itself across a deep catalog, not a single episode pass. The agent owns the decision of what to clip next and when.

How it works

  1. 1A chat instruction sets the channel's goals: cadence, tone, and which platforms.
  2. 2The agent reads the episode index in Airtable to know what is already clipped and what is untouched.
  3. 3It pulls a chosen source from Google Drive and transcribes it via ElevenLabs.
  4. 4Using OpenAI it selects moments, writes per-platform captions, and decides scheduling slots that avoid clustering.
  5. 5The agent schedules the cuts through post-to-platforms and updates the Airtable index so it never repeats a moment.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Google DriveDocs, sheets, slides, files.
  3. 3
    Connect ElevenLabsText-to-speech, voice cloning.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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