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.
The 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 moreHow to evaluate multi-turn LLM conversations in 2026 — measuring context retention, goal completion, and turn-level quality that single-response evals miss.
Read moreWhy public benchmarks tell you almost nothing about your app, which metrics actually predict production quality, and the evaluation practices that separate teams who ship confidently from teams who guess.
Read moreA comprehensive 2026 guide to evaluating AI agents — scoring reasoning, tool use, actions, and outcomes across multi-step runs, not just final answers.
Read moreHow comparison-based LLM evaluation (arena-as-a-judge) works — pairwise judging of two outputs, why it beats absolute scoring for subtle quality, and how to use it.
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