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Explains how to build an AI-driven Linux troubleshooting chatbot that reads logs, interprets errors, and suggests or executes safe fixes. Covers LLM architecture, retrieval from docs, tool APIs for commands, sandboxing and least-privilege safety, prompt design, real-world debugging examples, deployment options, observability, and a roadmap for privacy, reliability, and continual learning.