@hackproduct9: Most people think an AI agent is just: Prompt → LLM → Answer. Not even close. 🧠⚙️ A real agent behaves more like a loop: 👀 Understand the goal 🧩 Plan the steps 📚 Retrieve context + memory 🧠 Reason about what to do next ⚡ Act using tools 🔎 Observe what happened 🔁 Loop until the task is complete ✅ Verify before returning the result The key idea: The LLM is not the agent. The agent is the system around the LLM. Plan ↔ Reason ↔ Act ↔ Observe That feedback loop is what turns a chatbot into something that can actually do work. Once you understand this mental model, LangGraph, MCP, memory, RAG, tools, evals, and guardrails start making a lot more sense. Save this one. You’ll see this architecture everywhere in agentic AI. 🚀 #AIEngineering #AIAgents #AgenticAI #LLM #LangGraph

HackProduct

Open In TikTok:

Region: US

Tuesday 18 August 2026 03:47:59 GMT