How AI Agents Work and How Developers Can Build One Using Popular Frameworks

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AI agents differ from basic chatbots by autonomously planning, using tools, and completing multi-step tasks without continuous human input. As of 2026, the technology is considered mature enough for production environments, and frameworks like CrewAI and LangChain have made building such agents more accessible to developers. CrewAI allows developers to define specialized agent roles and assign tasks, while LangChain offers lower-level control for custom Python-based agent builds. A practical example outlined in the tutorial involves two agents — a researcher and a writer — working sequentially to produce a fully sourced report on a given topic. Developers can also leverage Anthropic's Claude directly, which includes built-in tool-use and agentic capabilities without requiring an external framework.

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