CUSTOMER SUPPORT

Detect a trending support issue and let the CEO agent draft the banner copy

Aggregates Front conversation tags on a schedule to spot an emerging trend, then hands the cluster to the agent to write customer-safe banner copy and open a tracking issue…

CategoryCustomer Support
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule runs the trend check
  • ActionPull recent tagged conversation volumeFront
  • LogicFlag tags climbing past baseline rate
  • ActionAgent drafts banner copy and opens tracking issueLinearLinear
  • LogicHold draft for human approval
  • OutputPost proactive banner to affected customersFront

What it does

It rolls up tagged Front conversations to surface an issue trending upward across many customers, then uses the agent to investigate the cluster, draft customer-safe banner copy, and open a linked tracking issue. A human approves the draft, after which the banner ships. It blends deterministic trend detection with agent-authored communication.

When to use it

Use it when emerging problems show up as a rising tag volume in Front and you want a polished, on-brand status message and an engineering ticket created together, not as two disconnected manual steps.

How it works

  1. 1A schedule trigger runs the trend check periodically.
  2. 2An action pulls recent tagged conversation volume from Front.
  3. 3A logic step flags any tag whose rate of new conversations is climbing past your baseline.
  4. 4The agent reviews the matching conversations, drafts banner copy, and opens a Linear tracking issue.
  5. 5A logic step holds the draft for human approval before sending.
  6. 6On approval, it posts the proactive banner back to affected customers in Front.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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