Wednesday, August 19, 2026

I heard an idea a while back that's stuck with me for about a year now. If you're going to become competent at something, if you're going to become great at it, suffering is part of the price you pay to get there.
Think about it. The gym. Physical health. Knowing God, reading your Bible, doing devotions. Personal finance, investing, relationships. Anything worth becoming good at costs you something. You spend the time, take the action, stumble your way through it, and that's just how it works.
Here's the thing though. If there's one place where everybody expects it to cost too much, and where people are spending way more time suffering through it than they need to, it's investing.
Why Investing Used To Cost So Much More Than It Should
It used to be that no matter what you wanted to get good at, the cost was basically the same. Years of learning. Money, time, effort. Knowledge and training that you had to try to apply, stumbling your way through and hoping you were doing the right thing.
I started when I was 12. Years of reading books, taking courses, watching videos. I made mistakes. I lost money. I kept going. I had some good wins, some bad ones. It was a process, and I even spent four years in college learning how to do it.
Here's the problem though. While that approach works, most people never actually finish the journey. They quit because the years of grinding without a payoff kind of suck. They pay some of the suffering tax, lose a little money, try a few things, and then just go back to normal life. They missed the point, and they never collected the reward that was waiting on the other side.
So let me walk you through three things that changed how I think about this, so you don't have to pay that same insane suffering tax that used to be required.
The Suffering Tax Is Real, But It's Way Smaller Than You Think
If you're learning how to invest, you're going to lose some money while you learn. That's part of the game, and it's okay. You'll pick a bad stock, watch it drop, maybe panic and sell. That's going to happen sometimes.
But here's what's actually crazy. People get worried about losing $300 while they're learning because they picked a bad stock. I get it, that money is real. But think about the bigger number instead. If you get to a dollar a day in passive income, that's $365 a year. If you get to $5 a day over 40 years, that's $73,000, with zero compounding and zero stock growth, just the income alone.
So when someone tells me they're worried about losing $300 while they learn, I'm not dismissing that. But they're worried about the wrong number. The real cost isn't the money you might lose while learning. It's what not knowing how to invest costs you over the next 40 years. That's the ignorance tax, and it's way bigger than the suffering tax ever was.
The Cost Of Learning Keeps Dropping
When I started, there were courses. Knowledge you could learn without having to model everything through yourself. That was progress, but it didn't come with implementation. You still had to figure out how to apply what you learned, and there was still a lot of trial and error.
Then AI showed up, and you could suddenly research stocks fast. Get information quickly. But a new problem appeared. Which AI do you use? Different models pull different information, and if you ask AI to find you stocks that fit your goals, it goes and scrapes the internet, mixes together whatever it finds, and hands you an answer with total confidence, even when it's wrong.
Each step in this progression made the suffering a little smaller. Courses beat figuring it out totally alone. AI tools beat courses alone. But there was still something missing.
Compressing A Decade Into One System
Last week I finished building something I'm genuinely excited about. I took everything I've learned over the last decade, the training, the frameworks, the tools, and built it into one AI system that uses the right AI for the right piece of the job.
There are three tools, and you move through them in order. The first is the Investor's Starting Formula. It walks you through what type of account actually makes sense for you and how to set it up.
The second is the AI Dividend Finder Framework. You tell it your goals, and it does real research to find stocks that actually fit what you're after, then walks you through what matters in each one, things like P/E ratios, beta, and EBITDA, without requiring you to already understand all of that.
The third is the Personal Investing Blueprint. It takes what you've done, your first stock, your starting point, and builds a plan and a path that actually makes sense for your life, personalized to your goals.
I called it Stock Market Starters AI. It blends the knowledge with the actual implementation, so the suffering required to become competent at investing drops to almost nothing. Not completely to zero, you still have to go use it and do the work, but it's about as simple and as fast as this has ever been.
Right Now, It's In Beta
There's a very small number of people already in there testing it, and they've had some genuinely good results. You won't find this on my website right now. It's not public yet.
I need more people to go in, try it, break it, and tell me what works and what doesn't. That's the whole reason I'm putting this out there.
P.S. I made a video yesterday that talks about this idea in more detail. Click here to check it out.

Creator of Stock Market Starters
I am a young entrepreneur with a decade of experience as a stock trader and investor! I am passionate about helping people learn how to get started and create their own financial future through trading and investing!
You're here learning about the stock market... are you ready to learn how to get started?
As much as I love talking about the market, actually getting into trades, growing my investment portfolio, and taking action to build my future is what really counts.
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