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.
How drag-and-drop chatbot builders work, what to look for in a no-code builder, and where visual flows end and AI answers begin.
Read more ›A step-by-step plan to implement customer service automation: pick the right processes, prepare knowledge, roll out in stages, and measure accuracy.
Read more ›Compare the best customer service automation tools in 2026 by category — help desks, AI agents, chatbot builders, and observability — and how to choose.
Read more ›Hallucination 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 more ›How leading companies across industries use AI chatbots for customer service, the patterns behind successful deployments, and what to learn from them.
Read more ›