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.
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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 look inside Currai's classification pipeline: how Jev matches user intent, checks assistant responses against policy, and leaves reports and improvement proposals to a generative LLM.
Read more ›Jev answers typed questions instead of writing text. Learn where TypeSafe's System One model fits in an AI application and what its outputs mean.
Read more ›Work through Jev's input-token pricing, separate vendor speed claims from application savings, and calculate the cost of a completed agent workflow.
Read more ›Build a small support router with Jev's HTTP API, interpret Choice and Noul answers, and handle uncertainty before connecting the result to an agent.
Read more ›Test Jev on labeled decisions, tune thresholds by consequence, and separate classification quality from the outcome of the complete agent workflow.
Read more ›