Blog
Practical posts on tracing, evals, prompt changes, token cost, and the production habits that keep AI products explainable.
Highlights from the Currai blog: the posts worth reading first.
Why AI agent evaluation still needs humans in 2026, where to put them in the loop, and how to combine human review with automated evals on production traces.
A practical field guide to LLM evaluation tools — what each category is good at, where they break down, and how to pick one that survives contact with production traffic.
The best AI observability tools in 2026 compared on evaluation depth, quality-aware alerting, drift detection, cost tracking, and the production-to-eval loop.
Browse implementation notes, observability guides, product decisions, and workflow ideas by topic.
Compare AI chatbots that integrate with Intercom in 2026 — native Fin versus third-party agents — on answers, handoff, pricing, and evaluation.
Read moreCompare the best conversational AI chatbots in 2026 across support, custom-build, and assistant categories — on grounding, actions, integrations, and evaluation.
Read moreCompare the best AI chatbots for Squarespace sites in 2026 on embedding, AI answer quality, integrations, and pricing — and how to add one.
Read moreA one-word prompt change can shift cost, latency, and quality. A/B testing prompt versions shows which wording wins in production.
Read moreCompare AI chatbots for Freshdesk in 2026 — native Freddy AI versus third-party agents — on answers, ticket integration, pricing, and evaluation.
Read more