𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗪𝗶𝘁𝗵 𝗡𝗼𝗱𝗲.𝗷𝘀

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗪𝗶𝘁𝗵 𝗡𝗼𝗱𝗲.𝗷𝘀

I thought building an AI agent was simple. I thought picking a model was the hard part. I was wrong.

The real work starts when your agent uses tools. It starts when it manages memory. It starts when it makes decisions.

Chatbots and agents are different. Chatbots answer questions. Agents finish tasks. Agents use APIs. Agents handle multi-step workflows.

Here are 5 lessons I learned:

• System design beats model choice. Most LLMs work. The system around them fails.
• Memory is hard. Getting data from Redis is easy. Deciding what to remember is the struggle.
• Valid data is not enough. Your tool returns the right answer. Your agent still makes the wrong choice.
• Plan for failure. Agents spend time handling errors and missing data.
• Engineering beats prompting. Prompt tweaks help. State management solves problems.

Building an agent is software engineering. Focus on reliability. Focus on observability. Focus on cost.

Stop obsessing over prompts. Build a better system.

Source: https://dev.to/encodedots/building-an-ai-agent-with-nodejs-5-lessons-i-learned-the-hard-way-39ci