Akarsh C

Direct SDK calls work until they don't. This post breaks down the architecture shift from calling providers directly to routing through an AI gateway — when it becomes necessary, what signals indicate it's time, and what the gateway layer actually does.

A deep technical breakdown of why Elixir and the Phoenix framework — with OTP supervision trees, Oban job queues, Phoenix Channels, ETS caching, and Cloak encryption — are uniquely suited for building production AI gateways and orchestration layers.

The technical decisions that separate AI agents that work in demos from AI agents that survive production — failover chains, prompt caching, request isolation, metered billing, and the infrastructure nobody talks about.

A practical comparison of the best LLM frameworks in 2026 — LangChain, LlamaIndex, Haystack, Semantic Kernel, and more. Learn which one fits your use case, and why most LLM frameworks struggle in production.

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.

Discover why we built ModelRiver: real-time AI infrastructure, auto-failover, structured outputs, client SDKs, CLI, and observability for developers shipping AI products.