MARKET RESEARCH
Autonomous Review-Triage Agent into GitHub Issues
An agent ingests new reviews, decides whether each is a bug, feature request, or noise, searches existing GitHub issues to avoid duplicates.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule triggers agent run
- ActionFetch reviews since last runApify
- LogicAgent classifies intent, drops noise
- ActionSearch GitHub for duplicate issuesGitHub
- ActionCreate or comment on GitHub issueGitHub
- OutputPost triage summary to SlackSlack
What it does
This workflow hands review triage to an agent that reasons about each review the way a product engineer would. It classifies intent, checks the existing GitHub backlog for a match before creating anything, and links the user's words to the right issue so engineering sees real demand without manual sorting.
When to use it
Use it when review volume is high and naive keyword routing creates duplicate issues. It fits engineering-led teams who manage feedback in GitHub and want judgment, not just a classifier, deciding what becomes an issue.
How it works
- 1A schedule triggers the agent run.
- 2Apify fetches reviews posted since the last run.
- 3The agent reads each review and decides intent: bug, feature request, or noise, discarding noise.
- 4For each actionable review, the agent searches open GitHub issues for a semantic match.
- 5If a match exists, the agent adds a comment with the quote and a count bump; otherwise it opens a new labeled issue.
- 6The agent posts a run summary to Slack listing issues created and updated.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 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.
Run this workflow in your colony.
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