Series articles: Ollama daily use
Turn a local Ollama LLM into everyday tools: zsh functions for testing and git, and a RAG search over your own documents.
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ai-explain: ELI5 for Scripts and Errors, Right in Your Terminal →
Another function in the Ollama daily-use series: pipe any script, error message, or stack trace to ai-explain and get a plain-English explanation of what it does or what went wrong — entirely local, no cloud required.
November 12, 2026
ai-data: Let a Local LLM Write Your jq and awk One-Liners →
A zsh function that reads a JSON or CSV file, understands its actual fields, and suggests 5 practical jq/awk commands tailored to that exact file — picked via fzf, then loaded onto your command line (not run for you) so you see, edit and learn the exact command before pressing Enter.
October 22, 2026
ai-diagram: From a Sentence (or a compose.yaml) to a Mermaid Diagram →
A zsh function that turns a plain-English description, or an existing config file like a docker-compose.yaml, into a Mermaid diagram — printed as a ready-to-paste fenced code block. Where docker-python-mermaid needs a script written for each input format, ai-diagram takes whatever you have in hand.
October 15, 2026
ai-translate & ai-summarize: Confidential Documents, Handled 100% Locally →
Two zsh functions that translate or summarize a Word, PDF, PowerPoint or Excel document without a single byte leaving your machine — Docling extracts the text locally, a local Ollama model does the translation or summary. Built for the document you'd never paste into a cloud translation tool.
September 21, 2026
AnythingLLM: Chat With All Your Scattered Documentation →
AnythingLLM turns a pile of Markdown, Quarto, PDF, DOCX, Excel and PowerPoint files into something you can actually chat with, backed by a local Ollama model. Part 1 sets it up on a single machine; Part 2 keeps the documents on my work PC while borrowing the GPU sitting at home.
August 17, 2026
ai-review, ai-secrets, ai-commit: Three zsh Checks Before Every git Commit →
Three zsh functions that together form a local, offline pre-commit quality gate: ai-review catches SOLID violations and naming issues, ai-secrets separates real hardcoded credentials from false positives, and ai-commit drafts the Conventional Commits message once the diff is actually clean.
August 10, 2026
ai-test: Generate Missing Unit Tests From Your Terminal With a Local LLM →
Turn your local Ollama model into an on-demand unit test generator. A zsh function that reads a Bash, PHP or Python file, detects whether you already have tests for it, prints only the missing Bats/Pest/Pytest cases needed for full coverage, offers to save them where the framework expects them, and runs the suite in a throw-away Docker container.
August 3, 2026
Accessing Ollama across your local network →
Learn how to set up a dedicated Ollama server on your local network and connect your code editor to it for a private, free AI coding assistant.
May 18, 2026
Installing Ollama and get local AI →
Learn how to deploy Ollama locally via Docker to run private, free LLMs and enable AI-powered code autocompletion in VSCode.
March 30, 2026