Use case page

Automatically classify bug reports from Slack into issues

Stop manual triage of Slack bug reports. TriageFast extracts structured fields and routes results to your trackers.

The problem

The problem

Slack bug channels are noisy and inconsistent, so engineers miss or delay triage.

Manually tagging, prioritizing, and creating issues wastes time and introduces errors.

The solution

How TriageFast solves it

Use the headless triage API to auto-classify Slack messages and push structured results to your workflow.

curl -X POST https://api.triagefast.com/triage -H 'Authorization: Bearer $TRIAGE_KEY' -H 'Content-Type: application/json' -d '{"source":"slack","channel":"#bugs","text":"App crashes on login with error 500"}'

Before

  • Missed or delayed triage from noisy Slack channels
  • Manual tagging and severity assignment
  • Slow creation of issues in trackers

After

  • Immediate structured triage with type, severity, title, summary, tags, sentiment and confidence
  • Automatic creation of GitHub Issues, Linear, Notion, or webhook delivery
  • Consistent triage completed in under 30 seconds, reducing manual overhead

Result

What developers get back

TriageFast returns JSON with type, severity, title, summary, tags, sentiment and confidence so you can auto-create GitHub Issues, Linear, Notion entries or call a webhook in under 30 seconds.

Related integrations

FAQ

Can TriageFast read messages directly from Slack?

Yes—route Slack messages through your workflow to the triage API for classification.

What fields will I get back for each Slack bug report?

You get type, severity, title, summary, tags, sentiment and confidence.

How long does a Slack message take to be classified?

Typical processing is under 30 seconds.

Start auto-classifying Slack bug reports — try free 100 triages/month

Get an API key, choose an input channel, choose an output channel, and run one test message.