Customer Experience
Support Conversation QA
A support transcript in, a scored quality card with coaching out.
Production proof: Automated QA scores every conversation, not a 2% sample — keeping quality high as automation scales. LLM-as-judge in practice. Read the case study →
Try a sample
Result
⚡ Run it live with your own API key no key set
Your key is held in memory for this session (kept for this tab only if you tick the box) and sent only to the provider you choose, directly from your browser. This site has no backend server — you can confirm it in your browser's Network tab: requests go only to the provider, never to this site. Live runs use small, fast models with hard token caps; a typical run costs well under $0.01, billed to your own account.
Honest limits: no website can protect a key from a compromised browser or malicious extension. Use a key with a spending cap, and revoke it after playing if you like.
How it’s engineered
- A fixed rubric with per-criterion evidence makes the score defensible and consistent — the same LLM-as-judge discipline I use for evaluation harnesses.
- Scoring every conversation (not a 2% manual sample) is what catches quality drift early as more support gets automated.
- In production the rubric is calibrated against human-labeled examples on a recurring cadence, so the judge stays aligned with what your QA team actually values.