Let me explain: You write your notes in your Vault. Then, you run a command, and the code inside becomes a script and executes! And it does so with the environment of your choice already activated.
No, it’s not. It transforms every code block—including comments—into an independent script.py inside your .obsidian\scripts\python folder. From there, you can grab it and start deploying or packaging it.
Inspired once more by NetworkChuck, this guide walks you through setting up Ollama on your system, integrating various AI models, and enhancing your workflow with ==Stable Diffusion== and ==BMO== or ==Smart Connections== on obsidian. Whether you’re a developer or an AI enthusiast, this step-by-step tutorial will help you harness the power of local AI models effectively.
If you also enjoy configuring your AI environment and exploring different models, this approach will provide you with the control and flexibility you need!
From: Vault’s folder. To: Blog’s feed This is my personal blogging pipeline, inspired by the content creator NetWorkChuck. I hope this guide helps you express your ideas more effectively and share them with the world.
If you enjoy maintaining control over your publications and having some code-based automation fun, this approach should serve you well!
What’s happening here is that an Obsidian vault is feeding the content of the posts you’re reading right now. Once everything is set up, the process requires minimal effort to keep running smoothly.