ENGINEERING
Agent-drafted root-cause analysis for a new flaky test
When a test is freshly quarantined, a CEO agent reads the failure logs and recent diffs, drafts a likely root-cause hypothesis and suggested fix.
How it runs
The automated pipeline, trigger to output.
- TriggerQuarantined label added to GitHub issueGitHub
- ActionFetch failure logs, test file, recent commitsGitHub
- LogicAgent drafts ranked root-cause hypothesisOpenAI
- ActionPost analysis and assign owner on issueGitHub
- OutputNotify owner in SlackSlack
What it does
When a new flaky test gets quarantined, an agent goes beyond filing a bare ticket: it reads the captured failure logs, the test source, and the commits that recently touched it, then drafts a plain-English root-cause hypothesis (timing race, shared fixture, network dependency, ordering) with a suggested fix direction. That analysis is attached to an owner-assigned GitHub issue so the owner starts with a head start instead of a blank page.
When to use it
Use it when your team loses hours reconstructing why a test is flaky each time one is quarantined, and you want a first-pass investigation written automatically.
How it works
- 1A `quarantined` label added to a GitHub issue triggers the workflow.
- 2The agent fetches the failure logs, the test file, and recent commits touching it from GitHub.
- 3It reasons over the evidence to produce a ranked root-cause hypothesis and a suggested remediation.
- 4The analysis is posted as a structured comment on the issue and the issue is assigned to the file's owner.
- 5The owner is notified in Slack that an investigation draft is ready for review.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect OpenAIModels, embeddings, files.
- 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.
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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.

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