How to use Currai with OpenAI Realtime voice and TTS
A complete, code-first guide to turning OpenAI Realtime voice conversations and text-to-speech generations into readable Currai User Stories and correctly nested traces.
Blog
Highlights from the Currai blog: the posts worth reading first.
A complete, code-first guide to turning OpenAI Realtime voice conversations and text-to-speech generations into readable Currai User Stories and correctly nested traces.
A step-by-step guide to importing completed Retell AI calls into Currai with signed call-ended webhooks—without adding capture code to the live voice agent.
A step-by-step guide to importing completed Vapi calls into Currai with an authenticated webhook—without adding capture code or sharing a Vapi private API key.
Browse implementation notes, observability guides, product decisions, and workflow ideas by topic.
A practical field guide to LLM evaluation tools — what each category is good at, where they break down, and how to pick one that survives contact with production traffic.
Read more ›The best AI observability tools in 2026 compared on evaluation depth, quality-aware alerting, drift detection, cost tracking, and the production-to-eval loop.
Read more ›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 more ›Compare Zendesk vs Intercom on pricing, ticketing, messaging, AI agents, automation, reporting, and the best fit for your support team.
Read more ›What 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 more ›