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.
Use simulated users, tools, environments, and failures to evaluate autonomous agents across outcomes, trajectories, safety, robustness, latency, and cost.
Read moreDesign a reproducible long-context evaluation for Anthropic models using retrieval placement, distractors, synthesis, citations, latency, token usage, and cost.
Read moreAgent quality depends on real conversations. The teams learning from those conversations should be able to inspect, adapt, and run the software that interprets them.
Read moreSet up your own Currai instance, connect a working agent, and verify one real conversation from the user exchange to its model and tool events.
Read moreDesign a fair LLM evaluation challenge with a frozen task contract, held-out tests, isolated runs, trace capture, repeated trials, cost reporting, and auditable results.
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