Blog
Highlights from the Currai blog: the posts worth reading first.
Use real production conversations to find agent failures, make focused prompt changes, build better evals, and verify that user outcomes improve.
Monitor customer success agents with end-to-end traces, conversation outcomes, groundedness, escalation quality, policy compliance, latency, and cost.
A beginner-friendly, code-first guide to turning Vapi browser calls into Currai sessions, conversation User Stories, and correctly nested voice-agent traces.
Browse implementation notes, observability guides, product decisions, and workflow ideas by topic.
A router is only as good as the workload and evaluators used to train, tune, and verify its quality-cost decisions.
Read moreCompare search agents by answer quality, evidence, freshness, search depth, latency, cost, and recovery on your own research workload.
Read morePublic benchmarks describe average capability. Your own prompts, tools, data, and failure costs determine which model should ship.
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