E
LLM Evals Playground
3 scenarios exploring different evaluation strategies. Toggle eval components on and off to see how they affect evaluation coverage and deployment confidence.
Choose a Scenario
3 scenarios available
Eval Scenario
Your team is about to deploy a prompt change to a customer support chatbot. Before shipping, you need to evaluate whether the new prompt maintains or improves quality. Toggle eval components to see how evaluation coverage changes what you catch before production.
Change
Prompt rewrite -- tone + accuracy
Traffic
12k conversations/day
Risk
Regression in refund handling
Token Usage
0/ 2,050 (0%)
Golden
Asserts
Judge
Semantic
Human
Baseline
Context Components
0/6 active
0/100
Broken
No Eval
Engineer
We rewrote the support chatbot system prompt to be more concise. Run evals before we ship this to production.
AI Agent
No EvalIssues (5)
- ×No systematic evaluation at all
- ×Manual spot-checking misses edge cases
- ×No way to detect regressions before users do
- ×No baseline to compare against
- ×Roll-back-if-broken is not a quality strategy