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.
Older Kimi K2 model IDs are retired. Learn the current K2-family options, OpenAI-compatible setup, cost model, and tests to run before production.
Read moreGrok 4 introduced xAI's reasoning and native tool-use generation. Learn where it fits in the current 4.x family and how to evaluate it safely in production.
Read moreGemini 3.6 Flash combines a 1M-token context window, multimodal input, and agent tools. Here is how to evaluate it against newer models on your own workload.
Read moreClaude Sonnet 5 targets coding and long-running agents. Review its API changes, temporary pricing, 1M-token context, and production evaluation plan.
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