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.
Guardrails are the runtime checks that sit between your model and the world — catching leakage, injection, and unsafe output in real time. Here's what to guard, where guards go, and why guardrails and evals need each other.
Read moreA practical end-to-end playbook for LLM evaluation in 2026 — from defining quality and building datasets to choosing metrics, running evals, and closing the loop.
Read moreAgentic customer service means AI that resolves issues by taking actions, not just answering. Here's how it works, where it helps, and how to deploy it safely.
Read moreThe parts every LLM eval framework needs — datasets, metrics, a runner, and a results store — and an honest look at when to build your own versus when a homegrown harness quietly becomes the thing you maintain instead of your product.
Read moreCompare the best Crisp alternatives for AI customer support in 2026 on AI answers, channels, integrations, pricing, and how they handle knowledge and escalation.
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