workflow optimization

Practical guide for Linux users to automate real work from the command line with AI: three Bash-friendly case studies—overnight log triage briefs, turning recordings into searchable notes via Whisper plus LLM summaries, and OCR’ing invoices into validated JSON. Uses standard tools (awk/sed/ffmpeg/tesseract, curl/jq), minimal API calls, install steps for apt/dnf/zypper, cron/systemd scheduling, and a safety checklist for privacy, cost, and reliability.

Turn Linux into an AI-powered back office: this hands-on guide shows how to use Bash plus Ollama or OpenAI APIs to auto-triage and rename PDFs, OCR and extract invoice fields to CSV, draft customer email replies, and generate daily digests via cron. Includes apt/dnf/zypper installs, a reusable llm.sh helper, watch/parse tools (inotifywait, jq), privacy-first options, and practical tips for validation, logs, and secrets.

Build a keyboard‑first, AI‑assisted Linux workflow without leaving Bash: install curl/jq and helpers, pick a local Ollama model or a cloud OpenAI‑compatible API, add a minimal ai CLI, and use four functions—aix (explain), aic (safe commands), aicommit (conventional commits), ailogs (log summaries). Includes distro‑specific setup, privacy/cost tips, and troubleshooting.