I agree but not for the reasons the article states. If you say “an LLM made this” and are proven to be wrong, then you can divert blame to the LLM: this is bad as you don’t in the future try to improve yourself and verify the LLM.
Usually, I have vscode/Claude Cowork up on one side and on the other is Obsidian. I made a plugin[1] that converts emails to `.md` so they can also be in Obsidian folder -- so Claude can query those emails the same way it does my notes. Works beautifully.
There's even a community plugin MCP that makes this easier. Afaik the hot reload is the only thing that "beats" this but I haven't had issues with Agents interacting with obsidian through the MCP - I'm not sure how much more useful it is to talk with an agent through a note taking app vs through its CLI.
Obsidian does hot reloading too. Usually, I have vscode/Claude Cowork up on one side and on the other is Obsidian. I made a plugin[1] that converts emails to `.md` so they can also be in Obsidian folder -- so Claude can query those emails the same way it does my notes. Works beautifully.
Whenever I see a tz post, I want to remind ya'll that the `tzdata` package is using data from `eggert/tz` by Paul Eggert -- a crazy good UCLA professor. I took his course once and in the exams, he'd like to put in a question he didn't know the answer to himself.
How about expose an API so that users can put the name of a startup and it goes through your AI agent pipeline to acquire an estimate? That way, you don’t need to know every startup under the sun and focus on optimizing your pipeline instead.
I tried writing a free textbook as an undergraduate. It's on quantum mechanics derived from first principles -- https://quantum.chaidhat.com -- hope you like it!
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