AI & RAG
Route Front Tickets by Doc-Answer Confidence and Create Linear Issues
Scores each Front ticket against ReadMe and Coda docs, auto-drafts a cited reply for high-confidence questions.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Front ticket receivedFront
- ActionClassify as doc question or defectOpenAI
- LogicBranch on ticket classification
- ActionDoc path: retrieve ReadMe and Coda passagesReadMe
- OutputDoc path: post cited draft as Front commentFront
- OutputDefect path: create linked Linear issueLinear
What it does
Acts as a smart front door for inbound support. It classifies each Front ticket as a documentation question or a likely product defect, then routes accordingly: doc questions get a cited draft reply from ReadMe and Coda content, while suspected bugs become structured Linear issues linked to the ticket so engineering sees them with full context.
When to use it
Use this when support handles a mix of how-to questions and genuine bug reports and you want each path handled by the right team automatically. Cuts manual triage and stops defects from getting buried in the support queue.
How it works
- 1A new Front ticket triggers the flow and the message is extracted.
- 2OpenAI classifies the ticket as a doc question or a product-defect report.
- 3A branch routes each class down its own path.
- 4Doc questions: retrieve ReadMe and Coda passages, draft a cited reply, post it as an internal Front comment.
- 5Defect reports: create a triaged Linear issue with the customer's description and a link to the Front ticket.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ReadMeAPI docs, changelog, auth.
- 4Connect CodaDocs, packs, automations.
- 5Connect LinearIssues, projects, cycles, triage.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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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