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AI agents are autonomous systems that can understand goals, break them down into subtasks, and take action - often across multiple applications. They differ from traditional bots in one key way: they can think in loops, reflecting, retrying, and optimizing until they complete their assigned task.

Imagine telling an agent: "Find the top 10 competitors in this space and write a summary of each." The agent searches online, analyzes websites, extracts relevant information, and outputs a formatted report - all without manual input after the prompt.

The most powerful agents are built using frameworks like LangChain or AutoGPT, where they’re plugged into tools (browsers, APIs, databases) and operate independently. They’re already being used in customer support, market research, internal tools, and even full-stack product development.

The future will be hybrid teams - humans and AI agents working together. Understanding how to direct, debug, and collaborate with these agents will be a core skill in product and tech teams.