TICKET MANAGEMENT
AI agent triages and merges same-root-cause Linear issues
A Paperclip agent investigates a newly created Linear issue, reads logs and related tickets to judge whether it shares a root cause with existing issues.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Linear issue createdLinear
- ActionAgent gathers Sentry and related-issue contextSentry
- LogicRoot-cause confidence above threshold?
- ActionMerge duplicate and consolidate subscribersLinear
- OutputRecord reasoning and decision in SlackSlack
What it does
When a new Linear issue is created, a Paperclip agent investigates it: it reads the description, pulls related Sentry events, and reviews recently filed issues to reason about whether this ticket and an existing one stem from the same root cause. When its confidence clears a threshold, it merges the new issue into the canonical one as a duplicate and moves the subscribers over; otherwise it leaves a triage note explaining its reasoning.
When to use it
Use it for messy, free-text bug reports where neither fingerprints nor simple similarity are reliable and you want judgment about actual causation, not just surface wording. The agent does the cross-referencing a triage engineer would, at intake speed.
How it works
- 1A new Linear issue triggers the agent.
- 2The agent gathers context: the issue body, linked Sentry events, and recent open issues.
- 3It reasons about whether a shared root cause exists and scores its confidence.
- 4A branch acts only when confidence is high; low-confidence cases get a note for humans.
- 5On a confident match it merges the duplicate and consolidates subscribers in Linear.
- 6It records its reasoning and the decision in Slack for auditability.
Set it up
What you configure once, before turning it on.
- 1Connect LinearIssues, projects, cycles, triage.
- 2Connect SentryErrors, performance, releases.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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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