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 step-by-step guide to building a website customer support chatbot that answers from your knowledge base, escalates cleanly, and is safe to launch.
Read more ›How to run a structured red team against your LLM app — building attack cases, probing each vulnerability, scoring the results, and turning the whole exercise into a test suite you run forever.
Read more ›Build a lead qualification chatbot that asks the right questions, scores prospects, syncs to your CRM, and hands hot leads to sales around the clock.
Read more ›Build an appointment booking chatbot that checks real availability, books into your calendar, sends reminders, and cuts no-shows — step by step.
Read more ›How to use LLMs to generate evaluation and training data that's actually useful — seeding a test set before you have traffic, covering edge cases you'd never hit organically, and avoiding the traps that make synthetic data lie to you.
Read more ›