ModelRiver Blog
Product updates, engineering insights, and AI industry perspectives from the ModelRiver team.
Your AI Feature Works in Dev. Here's How to Make It Reliable in Production
A practical guide to adding auto-failover, exact-match caching, observability and response contracts to OpenAI-compatible AI apps without rewriting your integration.
Test AI workflows without burning tokens
How ModelRiver's Test Mode lets you build, test, and ship AI features without paying for every failed request, flaky response, or debugging loop.
How to build production-ready AI systems with event-driven architecture
Learn how to build production-ready AI systems using event-driven architecture. Decouple AI generation from delivery, process webhooks, use callbacks, and stream results in real time.
Founders' note: Why we built ModelRiver
Discover why we built ModelRiver: real-time AI infrastructure, auto-failover, structured outputs, client SDKs, CLI, and observability for developers shipping AI products.