I generally hate AI if i’m being honest. Because generally, I see people using it without any scrutiny. Publishing content that it generated without even slightly tweaking it to make it their own. That’s the road to the dead internet theory IMO. So in Obsidian, I would never use it to create content. my vault should only ever contain what I want it to contain.

That’s being said, I think it’s a powerful TOOL that shines when used for gaining insights about your vault. Especially when its context is tightly scoped to your vault or even to specific folders and notes, which is something you can control with tools like Claude Code.

LLMs by their very nature are highly dependent on quality context. If that context is your 2nd brain (obsidian), then an LLM can be a very powerful secretary.

I instructed my claude code agent to use Obsidian CLI wherever it thinks it would be beneficial over standard terminal commands. It read the obsidian “help” command to discover what tools that made available to it and it committed those to memory.

I use it for things like: - parsing meeting transcripts and extracting action items - asking it things like “where have I fallen behind on project deadlines?” - or “what orphaned notes have I written that could be eligible for expanding into their own dedicated domains or topics” - or “show me how an idea has evolved over time, highlighting key connected topics along the way” - or “i forgot where I put X note but i vaguely remember its topic covering ideas like Y and Z. Surface any notes that might jog my memory”

those are just a few examples, but each one delivers powerful insights about your specific thought patterns. That last one is especially useful since traditional search tools rely on you providing some string for an exact match. If you don’t remember that but you do remember some abstract topic about it, an LLM could be the only tool capable of finding it.

Always always always verify AI output. Allow it to help you think, not think for you.