AI AGENTS
Onboarding Blocker Linear Issue Opener
When an onboarding artifact stays missing well past its due date, the agent opens a tracked Linear issue assigned to the internal owner so the blocker becomes visible…
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionLoad severely overdue missing artifactsAirtable
- LogicSkip items with existing Linear issue
- ActionDraft issue title + body with historyOpenAI
- ActionCreate assigned Linear blocker issueLinear
- OutputWrite issue URL back to AirtableAirtable
What it does
Converts long-stuck onboarding gaps into accountable work items. If an artifact has been overdue beyond a threshold and reminders haven't worked, the agent creates a Linear issue describing the blocker, assigns the internal owner, and links it back to the customer record so it shows up in sprint planning and standups.
When to use it
Use it when chronic onboarding blockers slip through reminder cadences and you need them surfaced as real, prioritized work your team reviews. Good for CS and implementation teams that already run their backlog in Linear.
How it works
- 1A daily schedule runs the check.
- 2The agent loads onboarding artifacts that are missing and more than N days overdue from Airtable.
- 3A filter excludes any item that already has a linked Linear issue to avoid duplicates.
- 4For each remaining blocker the agent drafts an issue title and body with customer, artifact, age, and reminder history.
- 5A Linear issue is created, labeled 'onboarding-blocker', and assigned to the internal owner.
- 6The new issue URL is written back onto the Airtable record.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 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.
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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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