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…
How it runs
The automated pipeline, trigger to output.
- TriggerAmbiguous comment enters review queueSocial publishing
- ActionRetrieve brand and legal response policyNotion
- 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 teamLinear
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
- 1A comment that prior filtering marked as ambiguous arrives.
- 2The agent retrieves the relevant brand and legal response policy from the knowledge base.
- 3The agent reasons over the comment and policy, choosing clear, draft-reply, or escalate.
- 4A branch routes by the agent's decision.
- 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.
- 1Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
- 2Connect NotionPages, databases, comments.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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Operations
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Run this workflow in your colony.
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