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.
Trace 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.
Read moreUse this practical checklist to confirm your agent has measurable goals, representative datasets, reliable traces, calibrated evaluators, and release gates.
Read moreImprove an AI agent by evaluating its harness: prompts, tools, context assembly, retries, stop conditions, and orchestration—not only its model.
Read moreAgents cannot use tools they fail to discover. Evaluate retrieval, ranking, schema understanding, and execution separately to find the real limit on tool-calling quality.
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