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Learn how to deploy Claude Code's Agent Teams to control a Raspberry Pi 5 and build a complete AI chat application. Watch as four specialized agents work in parallel to research hardware specifications, develop a backend system with Retrieval-Augmented Generation (RAG), create a user-friendly frontend interface, and perform quality assurance testing. Discover the step-by-step process of setting up a private AI chat application powered by a local Large Language Model running on the AI Hat 2, all accomplished for just $8.50 in total costs. Gain insights into coordinating multiple AI agents for hardware integration, backend development, frontend design, and testing workflows while exploring cost-effective solutions for running local AI models on edge computing devices.
