SOCIAL MEDIA

Pre-publish toxicity audit of the scheduled reply queue

Before queued replies go out, each is toxicity-scored by HuggingFace; failing items are pulled from the queue and flagged in Airtable while passing items publish on schedule.

CategorySocial Media
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled queue dispatch due
  • ActionRead pending replies from Airtable queueAirtableAirtable
  • ActionScore each reply for toxicity (HuggingFace)Hugging FaceHugging Face
  • LogicSplit batch into pass / fail by threshold
  • ActionPublish passing repliesSocial publishing
  • OutputFlag failing rows as held in AirtableAirtableAirtable

What it does

This workflow audits a queue of pre-written, scheduled replies right before they publish. Drafts often sit in a queue for hours after a human wrote them. This step re-checks every item against a HuggingFace toxicity classifier at send time, so a reply that reads differently in the current context, or was edited carelessly, gets caught. Passing items publish; failing items are held back and marked for review.

When to use it

Use it when a team batches and schedules replies ahead of time and you want a final automated gate at publish time rather than trusting the state of the draft when it was written.

How it works

  1. 1A schedule trigger fires when the next batch of queued replies is due.
  2. 2The pending replies are read from an Airtable queue.
  3. 3HuggingFace scores each reply for toxicity.
  4. 4A logic step splits the batch into pass and fail sets by threshold.
  5. 5Passing replies publish to their target platforms.
  6. 6Failing replies have their Airtable row flagged held with the score for a human to review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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