Scaling from a clever LLM demo to a reliable, long‑running AI agent in production is less about squeezing a few more percentage points out of the underlying model and more about how you “harness” that model. That’s the core argument… Read More »Why Better LLMs Aren’t Enough: LangChain’s Harrison Chase on Harness Engineering and Deep Agents
As large language models (LLMs) get more capable, many teams assume that upgrading to the latest model will automatically make their AI agents production-ready. Harrison Chase, co-founder and CEO of LangChain, argues the opposite: model quality is necessary but no… Read More »Why Harness Engineering, Not Just Better Models, Will Decide Which AI Agents Reach Production
Introduction: Why AI Agents Matter for Beginners When people first hear about AI agents for beginners, it can sound intimidating, like something only big tech companies or research labs can handle. In reality, AI agents are just software programs that… Read More »AI Agents for Beginners: A Gentle Introduction With Practical Examples