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.
Task completion rewards action, but reliable agents must also clarify, abstain, and stop. Evaluate whether an action was necessary before celebrating its outcome.
Read moreThe common jailbreak techniques that get LLMs to break their own guardrails, why they work, and how to turn each one into a test you run continuously instead of a surprise you find in production.
Read moreCompare GPT-5.6 Sol and Terra on coding benchmarks, pricing, code review, and agent cost. Learn how production traces and evals reveal which model actually solves more work.
Read moreClaude Opus pricing is only half the cost equation. Learn how the Opus tokenizer, cache tokens, output length, and routing affect the real cost of every request.
Read moreA passing eval score is a false sense of security when the eval set is narrow and static. Here's why agents that ace offline evals still fail in production — and the fix.
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