SOCIAL MEDIA

Agent-Driven Comment Policy Review Queue

An agent reviews ambiguous comments against your brand's response policy, decides whether to auto-clear, draft a reply for approval, or escalate, and routes its decision…

CategorySocial Media
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAmbiguous comment enters review queueSocial publishing
  • ActionRetrieve brand and legal response policyNotionNotion
  • ActionAgent decides: clear, draft reply, or escalate
  • LogicRoute by agent decision
  • ActionPost draft reply to Slack for approvalSlack
  • OutputFile escalation as Linear issue for owning teamLinearLinear

What it does

This is the judgment layer for comments that simple rules can't resolve. An agent reads each ambiguous comment in context, weighs it against your documented brand and legal response policy, and makes a call: clear it, draft a suggested reply for a human to approve, or escalate it. Every decision carries the agent's reasoning so reviewers can trust or override it.

When to use it

Use it when your comment policy has nuance that keyword filters keep getting wrong — sarcasm, edge-case complaints, gray-area legal mentions. It frees the team from low-value triage while keeping a human in the loop on anything genuinely risky.

How it works

  1. 1A comment that prior filtering marked as ambiguous arrives.
  2. 2The agent retrieves the relevant brand and legal response policy from the knowledge base.
  3. 3The agent reasons over the comment and policy, choosing clear, draft-reply, or escalate.
  4. 4A branch routes by the agent's decision.
  5. 5Draft replies are posted to Slack for human approval; escalations are filed as a Linear issue for the responsible team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    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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