Research
AI systems architecture, applied research, and engineering deep-dives.
A practical guide to building production-grade multi-agent AI systems with LangGraph. Learn architecture patterns, cost optimization strategies, and lessons from deploying 8 specialized agents at scale.
Learn how dynamic model routing can cut LLM costs by 10x. Route simple tasks to cheap models and complex tasks to powerful ones using LangGraph middleware — with full Python implementation.
A practical guide to migrating legacy LLM pipelines to LangChain v1 in production. Covers architecture decisions, caching strategies for 90%+ hit rates, multi-model routing, and how to achieve 5-10x throughput with 50-70% token cost reduction.