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.
Evaluate code-interpreter agents across planning, files, generated code, sandbox execution, artifacts, correctness, security, recovery, latency, and cost.
Read moreObserve document ingestion from source through parsing, chunking, embedding, indexing, deletion, and vector-store freshness with traceable quality checks.
Read moreEvaluate code-generation assistants with accepted outcomes, tests, security, maintainability, developer corrections, latency, and cost while respecting privacy.
Read moreA safety-first framework for evaluating mental health AI across scope, crisis routing, evidence, privacy, state transitions, human oversight, and continuous monitoring.
Read moreBuild useful grouped monitoring charts for LLM applications by model, prompt, route, customer, environment, and release without creating misleading aggregates.
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