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.
Evaluate business voice-agent platforms by telephony, conversation control, tools, testing, monitoring, compliance, economics, and production evidence.
Read more ›Route by task, quality threshold, latency, cost, and risk—then verify every routing policy against real workloads and production outcomes.
Read more ›Measure AI platform engineering by reliable outcomes, lead time, reuse, incident reduction, and cost—not model-call volume or lines of generated code.
Read more ›Use a decision framework and head-to-head evaluations to determine whether multiple agents improve specialization, isolation, or parallelism enough to justify the complexity.
Read more ›Compare WhatsApp chatbots for ecommerce across support, marketing, catalogs, order actions, human handoff, and AI quality.
Read more ›