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 customer service automation tools in 2026 by category — help desks, AI agents, chatbot builders, and observability — and how to choose.
Read moreHallucination evals work when they score the right failure mode. Currai ties groundedness, factuality, consistency, and review back to the production traces that created the answer.
Read moreHow leading companies across industries use AI chatbots for customer service, the patterns behind successful deployments, and what to learn from them.
Read moreLearn how Currai helps teams monitor prompts, traces, evaluations, A/B tests, token usage, and costs in AI apps built with Lovable.
Read moreStrategies for deploying enterprise AI chatbots securely in 2026 — data protection, access control, permission-aware retrieval, and audit — without slowing rollout.
Read more