SOCIAL MEDIA

AMA Form Intake With Auto-Triage Into Airtable

Captures AMA questions submitted through a web form, classifies each by theme and sensitivity with OpenAI.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook fires on AMA form submissionHTTP webhook
  • ActionClassify question by theme and sensitivityOpenAI
  • LogicRoute sensitive questions to review status
  • ActionWrite enriched record to Airtable baseAirtableAirtable
  • OutputConfirm row and surface flagged items for triageAirtableAirtable

What it does

Receives AMA question submissions via webhook from any form, uses OpenAI to tag each question with a theme and a sensitivity flag (safe to answer, needs review, or off-limits), and stores the enriched record in an Airtable base for triage.

When to use it

Reach for this when you collect AMA questions through a public form rather than a chat channel and you need every submission auto-sorted so legal-sensitive or off-topic questions get caught before the host sees them on stage.

How it works

  1. 1A webhook trigger fires whenever the AMA form is submitted.
  2. 2OpenAI classifies the question by theme and assigns a sensitivity flag with a short rationale.
  3. 3A logic step routes high-sensitivity questions into a separate review status.
  4. 4The classified question is written as a row in Airtable with theme, flag, and rationale columns.
  5. 5The output confirms the row and surfaces flagged items at the top of the triage view for fast human review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  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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