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I thought building an AI agent was simple. I thought I needed a model and a prompt. I was wrong.
Chatbots and AI agents are different. Chatbots answer questions. AI agents finish tasks. Agents use tools. They manage memory. They make decisions.
I learned 5 lessons the hard way.
Models are not the problem. Most LLMs work well. The system around them is the hard part.
Memory is tricky. Fetching data is easy. Deciding what to keep or delete is hard.
Tool calls fail in strange ways. The API works. The code works. But the agent makes the wrong choice.
Costs add up. Small tests are cheap. High usage is expensive.
Prompts do not fix everything. Focus on state management and workflow logic.
AI agents are a software engineering problem. Focus on reliability. Focus on cost. Stop tweaking prompts. Start building better systems.
The AI gave the answers. Engineering made those answers useful.
Source: https://dev.to/encodedots/building-an-ai-agent-with-nodejs-5-lessons-i-learned-the-hard-way-39ci