Closing: From Prompts to Loops

A prompt is one shot. An agent is a loop. That is the conceptual leap you just made. The pattern through every step: agents are simple in concept, hard in production. The loop (think, act, observe, repeat) is the engine. Tools are how the agent affects the world. Memory is how the agent remembers what it did. Frameworks like LangGraph turn this into something durable enough to run in production. The hard part is not building one. The hard part is keeping it on the rails when reality does not match the demo. The weXare thesis: agents are not replacements for human judgment. They handle the predictable, the mechanical, the repetitive. Humans handle the judgment calls, the exceptions, the decisions that actually matter. That is the line that should never blur. **Five takeaways to keep:** 1. Agent = LLM + tools + memory + a loop that decides what to do next. 2. ReAct (reason then act) is the simplest pattern that actually works. 3. Frameworks save time but are not magic. Read your agent traces. 4. Demo to production is a different game. Error handling, observability, cost control. 5. The 2026 stack: MCP for tools, LangGraph or similar for state, evals for quality. **What is next:** Ready to build for real? Take [Building with Agents](/en/learn/building-with-agents). Want to put your agents in production safely? Take [LLMs in Production](/en/learn/llms-in-production) and [Advanced HITL Patterns](/en/learn/advanced-hitl-patterns). Now go build a loop that closes.