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 complete 2026 guide to AI agent observability — why agents are hard to observe, the trace data model, threads, cost, failure modes, and how to roll it out.
Read moreCompare Zendesk vs Intercom on pricing, ticketing, messaging, AI agents, automation, reporting, and the best fit for your support team.
Read moreWhat LLM safety actually means in production — the regulatory pressure driving it, the risks worth measuring, and how to make safety a metric you track instead of a hope you hold.
Read moreHow product managers own AI quality in 2026 — the workflows for defining quality, running evals, reading production traces, and shipping improvements with confidence.
Read moreCompare HubSpot vs Intercom vs Drift on B2B chat, AI, CRM context, buyer engagement, support, pricing, and the best fit in 2026.
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