u/hulk14

I realized I’m pretty bad at taking notes during meetings. If I focus on writing, I miss half the conversation. If I just listen, I forget details later. Lately I’ve been trying a different setup with Bluedot. I use it mostly for capture, it records quietly with no bot, then gives transcripts, summaries, action items, and searchable meeting history after. The Claude integration has been useful too since I can search old meetings instead of manually digging through notes.

Are you all still taking notes manually during meetings, or relying more on AI tools now? And how are you organizing everything long term so it doesn’t become a mess later?

We’ve been experimenting with AI agents more lately, and the biggest issue hasn’t been building them, it’s figuring out how to control them once they’re running. When agents start chaining actions and pulling data from different sources, it gets hard to answer basic questions like what they should or shouldn’t access, or how to trace what happened after the fact.

I started looking into this and came across Trust3 AI. The idea of enforcing data policies directly inside agent workflows and having audit trails actually makes a lot of sense, especially compared to trying to monitor things from the outside.

How are people handling this right now? Putting guardrails in early or just adjusting as things break?