How I’m Building a Smarter AI Agent: Beyond Prompt Chains to Full Debugging & Deployment
“How I’m Making My AI Agent Smarter Than Prompt Chains — From Debugging to Deployment” š Intro: From Prompt Follower to Real Thinker Let me be honest — I’m still learning. I’m a 2nd-year BSc CS student trying to build production-level LLM tools. But this past month, I realized something dangerous: Most AI agents are just smart parrots. They don’t remember, adapt, or think. And if you don’t design better logic, they never will. That’s when I made a decision: I won’t build just another chatbot . I’ll build autonomous AI agents that actually get smarter with time. Here’s how I’m upgrading my agents — even as I learn and debug daily. š§ Problem: Agents Are Dumb (By Default) At first, I built my agent using simple tools: LangChain chains Prompt templates Basic task routing But every time I gave it a complex task — like evaluating a resume or suggesting a career path — the agent would: Forget what I said earlier Repeat generic answers Hallucinate fac...