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.
Compare the best no-code chatbot builders in 2026 by category — visual flows, AI answers, and hybrids — on ease of use, integrations, pricing, and answer quality.
Read moreA practical Voiceflow review for 2026: what it does well for building conversational AI agents, its pricing model, its limits, and when to consider alternatives.
Read moreHow to add an AI chatbot to your documentation or GitBook in 2026 — native docs AI versus dedicated agents — with grounding, citations, and freshness.
Read moreLLM observability captures every prompt, completion, token, and tool call so you can explain what your model did and debug it faster.
Read moreObservability data is high-volume and append-heavy — the classic case for running ClickHouse yourself. Here's the real trade-off between self-hosting and a managed backend.
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