I used my local LLM to rebuild my workflow from scratch, and it was better than I expected
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A self-hosting enthusiast shares how they rebuilt their daily productivity workflow around locally-run LLMs using Ollama, Docker, and a WebUI. The stack integrates with tools like Logseq, Paperless-ngx, VS Code, and Home Assistant, eliminating cloud dependency and data privacy concerns. The author found local AI more practical than expected — not because it outperforms cloud models, but because it's always available, private, and deeply integrated into existing tools.
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I always thought Local AI would be slowerThe local AI stack I builtMy non-negotiable productivity workflow with local LLMIt worked surprisingly wellSort: