A practical guide to AI-assisted development and automation in the terminal — Claude Code for agentic coding, aider for pair programming, the llm CLI for pipelines, fabric for pattern-based text processing, and how to integrate LLM output into shell workflows without creating new problems.
AI & Productivity
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AI in the Terminal -
Automating Your Life with n8n and AI n8n as a self-hosted automation backbone for personal workflows — AI nodes for classification and extraction, email triage, RSS briefings, GitHub notification filtering, Home Assistant integration, and building a personal AI assistant with persistent context.
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Building an AI-Augmented Knowledge Work Workflow A practical guide to integrating LLMs into knowledge work without creating new problems — prompt patterns that work, task-to-tool matching, managing hallucination risk, context window strategies, and honest trade-offs for writing, research, and code review workflows.
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Local LLMs with Ollama Running large language models locally with Ollama — VRAM requirements by tier, quantization formats explained, model selection for different use cases, Open WebUI setup, modelfiles for custom system prompts, and an honest comparison of when local beats cloud and when it doesn't.
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Personal Knowledge Management with AI Second brain methodology, Obsidian with AI plugins for semantic search, building a personal knowledge graph, RAG over your own notes with local embeddings, and the honest failure modes of PKM systems — including when note-taking becomes procrastination.