SOCIAL MEDIA

Front-Triggered Review Reply Approval and Publish

When a teammate approves a drafted review reply in a Front conversation, the agent refines it against brand-voice rules and posts the final response back to the originating…

CategorySocial Media
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation tagged approvedFront
  • ActionRead approved reply and review metadataFront
  • ActionFinal brand-voice and policy passOpenAI
  • ActionPublish reply to review platformBrowserbase
  • OutputResolve Front conversationFront

What it does

Closes the loop on the human-approval step. Once a reviewer reply has been drafted and a teammate approves it inside Front, this agent reads the approved text, polishes it for brand-voice and policy compliance, and publishes the reply to the review platform the review came from, then marks the Front conversation resolved.

When to use it

Use this as the publishing back end for a drafting flow that ends in Front. It lets support own approvals in their existing inbox while the actual posting and final QA are automated. Best when replies must clear a compliance check before going live.

How it works

  1. 1A Front event trigger fires when a review-reply conversation is tagged approved.
  2. 2The agent reads the approved reply text and the linked review metadata from the Front conversation.
  3. 3An OpenAI step runs a final brand-voice and policy pass, adjusting wording if needed.
  4. 4The agent posts the finalized reply to the source review platform via its automation step.
  5. 5The Front conversation is updated to resolved with a confirmation note.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect BrowserbaseHeadless browsers, sessions, replays.
  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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