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.
A practical review of Intercom's Fin AI agent in 2026: how it works, its resolution-based pricing, where it fits, and when to consider alternatives.
Read moreUse the ChatGPT API as an LLM judge with stable rubrics, structured scores, bias controls, human calibration, and production trace evaluation.
Read moreA step-by-step guide to building an AI FAQ chatbot on top of your existing docs, from ingestion and retrieval to evaluation and safe rollout.
Read moreAI agents can score well in controlled evals while real users still struggle. Learn how to detect the coverage, context, workflow, and outcome gaps that appear after launch.
Read moreThe OWASP Top 10 for LLM applications, translated from a checklist into detectable behaviors — what each risk looks like in a real trace, and how to catch it before it becomes an incident.
Read more