Stop guessing at prompts. Learn from production conversations
Use real production conversations to find agent failures, make focused prompt changes, build better evals, and verify that user outcomes improve.
Blog
Highlights from the Currai blog: the posts worth reading first.
Use real production conversations to find agent failures, make focused prompt changes, build better evals, and verify that user outcomes improve.
Monitor customer success agents with end-to-end traces, conversation outcomes, groundedness, escalation quality, policy compliance, latency, and cost.
A beginner-friendly, code-first guide to turning Vapi browser calls into Currai sessions, conversation User Stories, and correctly nested voice-agent traces.
Browse implementation notes, observability guides, product decisions, and workflow ideas by topic.
Deploy Next.js on Google Cloud Platform with standalone output, Docker, Artifact Registry, Cloud Run, GKE, autoscaling, GitHub Actions, and production-safe caching.
Read more ›Compare the best GitHub Copilot alternatives in 2026, including Cursor, Windsurf, Claude Code, Codex, Cline, Continue, Aider, and OpenCode on workflow, pricing, model choice, and agent observability.
Read more ›Compare the best ChatGPT alternatives in 2026 for writing, research, coding, search, privacy, open models, and access to multiple AI providers.
Read more ›How to add a reliable AI chatbot to a Crisp inbox in 2026, from native Crisp AI to dedicated retrieval-based agents, with the trade-offs that matter.
Read more ›AI chat projects turn uploaded PDFs, spreadsheets, documents, and code into a reusable knowledge base. Learn how RAG, project memory, instructions, and source citations keep every chat grounded.
Read more ›