From LLM to Agent: How Memory + Planning Turn a Chatbot Into a Doer

LLM agents aren’t magical upgrades—they’re system designs. By combining models with memory, planning, tool use, and control loops, developers turn chatbots into stateful agents that can act, verify, recover from failure, and operate reliably in real-world environments. The real shift isn’t better prompting—it’s engineering the loop around the model.