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.
A comprehensive 2026 guide to evaluating AI agents — scoring reasoning, tool use, actions, and outcomes across multi-step runs, not just final answers.
Read moreHow to use LLMs to generate evaluation and training data that's actually useful — seeding a test set before you have traffic, covering edge cases you'd never hit organically, and avoiding the traps that make synthetic data lie to you.
Read moreHow to evaluate tools exposed through the Model Context Protocol — testing tool selection, argument correctness, execution, and task outcomes step by step.
Read moreUse the Model Context Protocol to manage your website chatbot from Claude — update knowledge, review conversations, and onboard the agent conversationally.
Read moreHow comparison-based LLM evaluation (arena-as-a-judge) works — pairwise judging of two outputs, why it beats absolute scoring for subtle quality, and how to use it.
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