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.
Adapt chat workflows for voice with shorter turns, explicit context, fewer options, progressive confirmation, and measurable recovery behavior.
Read moreTrace agent memory reads and writes, then evaluate retrieval, freshness, contradiction handling, privacy, usefulness, latency, and cost.
Read moreEvaluate reusable agent skills as behavioral interfaces: test activation, instructions, tool use, outcomes, robustness, latency, and cost.
Read moreTrace deep agents across planning, subagents, files, tools, and long-running tasks, then evaluate outcomes, trajectories, recovery, cost, and latency.
Read moreEvaluate multi-agent RAG systems for financial data by separating retrieval, routing, calculations, citations, synthesis, and policy compliance.
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