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.
An honest look at AI customer support in 2026 — what genuinely works, why many deployments fail, and how to build one that customers actually trust.
Read more ›How AI delivers multilingual customer support across dozens of languages, what breaks in translation, and how to keep answers accurate in every language.
Read more ›An agent can call the right tool and still fail the task — or complete the task despite a clumsy path. Here's how to score tool-calling and task completion as separate metrics, so a failure points to a fix.
Read more ›A step-by-step build for a chatbot that answers questions from your documents with RAG — plus the part most tutorials skip: how to know its answers are grounded and correct instead of confidently wrong.
Read more ›A practical look at automated customer service in 2026 — the real ROI, the full cost picture, and how to implement it so the savings are real, not on paper.
Read more ›