SUMMARIZATION
Turn commitments in Front threads into Linear follow-up issues
When a Front thread is resolved, an AI separates decisions from the commitments and next steps inside them.
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation resolvedFront
- ActionFetch conversation message historyFront
- ActionExtract decisions and implied commitmentsOpenAI
- LogicFilter vague or already-done commitments
- OutputCreate a Linear issue per follow-upLinear
What it does
Bridges the gap between deciding something in email and actually doing it. On thread resolution, the AI reads the conversation, identifies decisions, and extracts the concrete commitments that came out of them. Each owned next step becomes a Linear issue, with the originating decision and a link to the Front thread attached as context.
When to use it
Use it when decisions made over Front routinely generate work that falls through the cracks because it never reaches your issue tracker. Ideal for engineering-adjacent ops, implementation teams, and account managers who run delivery commitments out of customer email and live in Linear.
How it works
- 1A Front conversation is resolved, firing the trigger.
- 2The workflow fetches the full message history for the thread.
- 3An OpenAI model extracts decisions and the discrete commitments or next steps each one implies, with a suggested owner.
- 4A logic step filters out commitments that are vague or already marked done in the thread.
- 5A Linear issue is created for each remaining commitment, titled by the action and linked back to the source Front conversation.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 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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