When I first started looking into AI agents, I wanted to jump straight into the most complex multi-agent frameworks I could find. It is a common trap: we want to write code before we clearly know what we are building. But after seeing how quickly agent projects can become messy, expensive, and difficult to evaluate, I realized that the first step is not choosing a Python library. The first step is writing a clear design statement. What Should Be the First Step When Building an AI Agent? AI agents should start with a clear problem, not a complex architecture. When people decide to build an AI agent, they often begin in the wrong place. They compare frameworks, watch demos of multi-agent systems, or debate which model to use. That feels like progress, but it often skips the most important part: defining the exact job the agent should do. The real first step is to define one specific problem the agent will solve, the boundaries of th...
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