SOCIAL MEDIA
Recycle a specific evergreen post on demand from chat
Ask in chat to resurface a past topic and the workflow finds the matching evergreen post, rewrites it into a new variant, and either drafts or publishes it on the spot.
How it runs
The automated pipeline, trigger to output.
- TriggerChat request with topic and platform
- ActionSearch archive for matching postAirtable
- LogicPublish now or return draft?
- ActionRewrite into platform variantOpenAI
- OutputPublish or reply with draftSocial publishing
What it does
Gives you an instant, conversational way to recycle content. When you message a request like "repost our onboarding-tips piece for LinkedIn," the workflow searches your Airtable archive for the best matching evergreen post, rewrites it into a fresh variant tailored to the platform you named, and returns a draft or publishes it directly.
When to use it
Use it when you spontaneously want to bring back a proven post without digging through your archive or rewriting by hand. Ideal for filling a same-day gap or responding to a conversation that reminds you of older content.
How it works
- 1A chat message triggers the flow with your topic and target platform.
- 2The flow searches Airtable for the closest-matching evergreen post by topic and score.
- 3It confirms the match and checks the post's cooldown status.
- 4OpenAI rewrites it into a new variant for the requested platform.
- 5If you asked to publish, it goes out via post-to-platforms; otherwise the draft is returned in chat for review.
- 6Airtable logs the recycle if published.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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