CUSTOMER SUPPORT

Autonomous Agent That Promotes Recurring Resolutions into Macros

A Paperclip agent continuously reviews resolved Front threads, detects when a question has been answered the same way enough times, drafts a polished macro.

CategoryCustomer Support
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule wakes the agent
  • ActionRead newly resolved Front threadsFront
  • LogicDecide which patterns are mature and uncovered
  • ActionDraft publish-ready macro with metadataOpenAI
  • OutputOpen Linear ratification task with draftLinearLinear

What it does

This runs an autonomous support-ops agent that owns macro creation end to end. It reasons over resolved Front conversations over time, recognizes when a repeated resolution pattern is mature enough to template, writes a clean canned reply with title and tags, and routes it for human ratification through a Linear task before it goes live.

When to use it

Use it when you want macro maintenance to be a standing, hands-off process rather than a manual weekly chore. Best for teams with steady ticket volume who trust an agent to propose templates while keeping a human approval gate.

How it works

  1. 1A daily schedule wakes the agent.
  2. 2The agent reads newly resolved Front threads and updates its running model of recurring resolution patterns.
  3. 3It decides which patterns have crossed the maturity bar and are not already covered by an existing macro.
  4. 4For each qualifying pattern it drafts a publish-ready canned reply with metadata via OpenAI.
  5. 5It opens a Linear task containing the draft macro and supporting evidence for a lead to approve and publish.

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 LinearIssues, projects, cycles, triage.
  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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