The AI framework for finding high-growth moats

Moving from macro filters to 2,000-word deep-dives in minutes.

I used to think that being a “Top Advisor” was about how much data I could handle.

I spent years believing that the more research reports I read, the better my advice would be.

At the time, I was managing and advising on significant HNI portfolios. The pressure was high. My clients wanted answers on thousands of different stocks, and my solution was always the same: Read more.

At that level, you aren’t the one building the 30-tab financial models. You are the one who has to make sense of them.

My research team would hand me a stack of reports on 300 different companies. They spent weeks on the assumptions, the DCFs, and the price targets.

But I only had 30 minutes to decide if their “conviction” was real or just accounting noise.

I was proud of the “grind.” I thought the solution to finding alpha was to read more reports, track more price targets, and dig deeper into my team’s assumptions.

But I was trapped in the “Hardworking Executive” cycle.

I was trying to achieve more by doing even more.

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