Hey! There is a certain kind of AI trading answer that looks useful for about 15 seconds. Ask ChatGPT or Claude, “Give me a profitable mean-reversion strategy,” and you usually get the same recipe with different wording: buy weakness, sell the bounce, add RSI, maybe add a volatility filter, optimize the lookback. Nothing is technically wrong with that answer, which is why it wastes time. It sounds good, but there is no research edge in it. You are getting cleaned-up trading rules that has already been copied across forums, blogs, and prompt examples for years. For that part of the workflow, I use Google NotebookLM. Why NotebookLM is Different? I do not use NotebookLM like a smarter ChatGPT. I use it like a research notebook that can talk back, with citations. The important difference is that NotebookLM works from the sources I upload.