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.
Learn how Currai helps teams monitor prompts, traces, evaluations, A/B tests, token usage, and costs in AI apps built with Lovable.
Read moreStrategies for deploying enterprise AI chatbots securely in 2026 — data protection, access control, permission-aware retrieval, and audit — without slowing rollout.
Read moreThe best prompt engineering tools connect prompt edits to traces, evals, versions, and production outcomes. Here is how to choose the right stack for shipping AI features.
Read moreCompare AI chatbots that integrate with Confluence in 2026 on ingestion, permission-aware retrieval, refresh, citations, and where they deploy.
Read moreOffline test sets go stale fast. Currai runs LLM-as-judge evals on real traced outputs, so you can compare prompt quality on live traffic.
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