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Save the web as clean markdown. The format ChatGPT, Claude, Obsidian, and every modern tool reads natively. Workflows, templates, and the case for clipping in markdown from day one.

Practical AI workflows: feeding LLMs your saved articles, using Claude or ChatGPT as a research partner, building agentic pipelines on top of a personal knowledge base.

Productivity workflows for knowledge workers: capture, organise, and resurface the web content that matters. Tag systems, second-brain patterns, and tools that survive a year of use.

Research workflows for students, academics, and analysts. Capture papers and web sources as markdown, build a citation-ready library, and synthesise across hundreds of sources without losing the thread.

Get the web into Obsidian as clean markdown. Workflows for clipping articles, organising vaults, linking notes, and connecting Obsidian to Claude or ChatGPT via MCP.

A practical guide to web clippers in 2026: the difference between AI-powered and naive clipping, why most clippers fail on YouTube, X, and Amazon, and how Save compares to the alternatives.

How to build a personal knowledge base that survives more than six months. Capture, structure, and AI integration patterns from people running PKMs for years.

A practical look at MCP (Model Context Protocol): what it is, why Claude shipped it, how Save connects your local vault to Claude and ChatGPT, and what it enables that wasn't possible before.