opensource ai tools

Guide for Linux pros to blog faster with privacy using a local, Bash-first AI workflow: install llama.cpp and a tiny quantized model, wrap it with shell helpers to generate outlines and sections, ground drafts with man pages and your code, validate every command with ShellCheck and dry runs, and export clean Markdown/HTML via pandoc. Reproducible, scriptable, no cloud or API keys—publish trustworthy posts in hours.

A practical guide to building a private, fully offline AI toolbox on Linux: why on-device AI improves privacy, cost, and latency; one-time setup per distro (apt/dnf/zypper); run local LLMs with Ollama or llama.cpp; offline speech-to-text via whisper.cpp; RAG Q&A over your documents using Chroma + sentence-transformers + Ollama; optional OCR with Tesseract; plus scripts, model/quantization choices, and performance/troubleshooting tips.