Mirrors – test AI agent changes by replaying production traces
Deterministic seeding creates byte-identical worlds—LangSmith can't reproduce failures like this.

Replaces stitching Langfuse and promptfoo together with one unified eval dashboard.
AI engineers and ML teams shipping LLM applications
LangSmith · Arize Phoenix · Promptfoo
EvalsHub does all of it in one place. Automatic production scoring, red teaming, prompt versioning, and CI/CD integration. Zero to full eval coverage in 30 minutes.
Would love brutal feedback from anyone shipping AI in production.
evalshub.ai
Deterministic seeding creates byte-identical worlds—LangSmith can't reproduce failures like this.
Blog post about agent problems, not a tool that solves them.
In-browser diff shows what ChatGPT knows that Claude doesn't about you.
Langfuse/Helicone angle—LLM-as-judge quality scoring—but no live product or differentiation yet.
Free audit funnel for AI observability when LangSmith and Helicone already do this.
Replays agent traces step-by-step to pinpoint exact failure turns automatically.