TICKET MANAGEMENT

Scheduled Front Bug Backlog Sweep to Linear

Runs on a schedule to find bug-tagged Front conversations with no linked Linear issue, normalizes their attachments to Dropbox.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled sweep (hourly)
  • ActionFind bug conversations without a Linear linkFront
  • LogicFilter and cap batch size
  • ActionNormalize attachments to Dropbox foldersDropboxDropbox
  • ActionBatch-create Linear issues with linksLinearLinear
  • OutputBack-link Front and post run summary to SlackSlack

What it does

Sweeps the Front inbox on a schedule for conversations tagged `bug` that were never escalated to Linear, then creates the missing issues in one pass. Attachments are normalized to a Dropbox bundle per conversation, and each Front thread is back-linked.

When to use it

Use it as a safety net alongside event-driven escalation: it catches bugs that were tagged during an outage, missed by a busy agent, or filed before the live integration existed.

How it works

  1. 1A scheduled trigger fires (for example, hourly).
  2. 2The flow queries Front for `bug` conversations lacking a Linear reference comment.
  3. 3A logic step filters out conversations already closed without a fix and caps the batch size.
  4. 4For each remaining conversation, attachments are uploaded to a Dropbox per-issue folder with normalized names.
  5. 5A Linear issue is created for each with the report and Dropbox links.
  6. 6Each Front conversation is updated with its new Linear link, and a run summary is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect DropboxFiles and folders.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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.

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