
When I joined, all our docs were scattered. PDFs, emails, half-finished gdrive folders, and a lot of “tribal knowledge” in people’s heads. I wanted to fix that, but I also didn’t want to keep digging through bylaws just to answer repeat questions like “Are parking spaces deeded?”
So I built a custom GPT trained on our governing documents, policies, and FAQs. It’s basically a private chatbot that board members can query instead of searching through six PDFs.
It’s not perfect, but it’s made volunteer work way more sustainable. We spend more time making decisions and less time hunting for information.
I wrote about the experience here (no ads or monetization):
Curious how others here are using ChatGPT or custom GPTs to streamline real-world knowledge organizational work? I keep thinking NotebookLM might be a more lightweight, user-friendly option for those that don't want to go full custom.
