Agentic LLM systems

From rigid chains to smart code, agentic AI workflows find their form

Agentic LLM workflows have outgrown the rigid chains that once defined them. Karthik Ramgopal traces the evolution from simple linear prompts to graph-based systems and now code-executing harnesses that verify outputs through actual execution. The lesson is clear: choose the least complex design that meets your needs, and always validate model outputs. It's a pragmatic take on a fast-moving space. For more on how fragile our digital foundations can be, see our coverage of the internet held together by glue and dreams.