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 2026 guide to AI chatbot compliance: disclosure rules, data protection, sector regulations, and the controls that reduce legal risk.
Read moreTesting an LLM app isn't like testing normal software — outputs are non-deterministic and open-ended. Here are the testing methods that actually work: unit, regression, adversarial, and production, and how they fit together.
Read moreA practical 2026 guide to adding an AI chatbot to your website: what to look for, how to set it up, and how to make sure it gives accurate answers.
Read moreA practical architecture for connecting production traces, evaluation datasets, offline experiments, and online evals into one agent improvement loop.
Read moreDiagnose rising coding-agent costs with per-step traces, then reduce LLM spend without hiding quality regressions or task failures.
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