TICKET MANAGEMENT
Agent-Driven Weekly Duplicate Cleanup for Front
A weekly Paperclip agent reviews the open Front backlog, reasons about which conversations are true duplicates, proposes a merge plan.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts agent
- ActionPull open Front backlogFront
- LogicAgent reasons and groups true duplicatesOpenAI
- LogicChoose survivor and justify each group
- ActionWrite merge plan to NotionNotion
- OutputShare plan with per-merge approve markersNotion
What it does
Once a week an autonomous agent works through the open Front backlog, reasons about which conversations are genuinely the same issue versus merely similar, and drafts a structured merge plan. It files the plan in Notion so the support lead can approve or reject each proposed merge.
When to use it
Use it for a recurring backlog-hygiene ritual where judgment matters more than speed. The agent weighs context that a pure similarity score misses, like different customers hitting one outage versus one customer with two unrelated problems.
How it works
- 1A weekly schedule starts the Paperclip agent.
- 2The agent pulls all open conversations from the target Front inboxes, including bodies and tags.
- 3It reasons over the set, grouping true duplicates and explicitly setting aside look-alikes that are actually distinct.
- 4For each proposed group it picks a survivor and writes a justification.
- 5The agent compiles the merge plan and writes it to a Notion page, one row per proposed merge with rationale and conversation links.
- 6The page is shared to the support lead with an approve marker per row to drive the actual merges downstream.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect NotionPages, databases, comments.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Ticket Management workflows
Enrich Discord bug reports with Sentry errors before filing in Linear
Takes a Discord bug report, has an LLM pull out likely error signatures, searches Sentry for matching events.
Front-to-Linear Recurring Bug Linker
When a Front ticket is tagged as a bug, it searches Linear for an existing matching issue and either links the ticket to that parent issue or opens a new tracked one.
Front Duplicate Conversation Clusterer
When a new Front conversation arrives, it semantically compares the report against open conversations.
Intercom Known-Issue Auto-Responder
When a new Intercom conversation matches a known active incident, it attaches the conversation to that incident's parent ticket and sends the customer the current status reply.
Weekly reopen-by-agent coaching digest
Aggregates each agent's solved-then-reopened tickets for the week, identifies the most common reopen reason per agent, and emails a private coaching digest to the support manager.
Escalate repeat reopens to a Linear bug
Detects when the same underlying issue reopens across multiple tickets, uses an AI agent to cluster them by root cause.
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.
Run this workflow in your colony.
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