Developer Builds AI Chat Assistant Using Agentic LLMs and Multi-Tool Integration
A developer shared how they built an AI chat assistant that goes beyond a standard chatbot by connecting a large language model to external tools. The project was motivated by the limits of standalone LLMs, which may lack current information and cannot independently access external services. The article explains agentic AI, where the model interprets a request, selects and executes a tool, and then folds the returned results into its reply. Using a weather query as an example, it describes how the assistant would call a weather service rather than rely on the model's training data. The author also links the live demo and the frontend and backend source repositories for readers to explore.
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