If you are anything like many of my serious investor friends, you have dabbled with using AI. Yet you haven’t actually improved your investing.
Why I Am Making This Change
You probably do the occasional chat. Or a prompt to research something. Maybe you even use AI to help you build out a spreadsheet or a report.
But pause for a moment. How much has this actually improved your investing? As measured by what?
I have spent the last 2 years trying to answer that question for my own work. It is why I am relaunching the paid side of the Behavioral Value Investor Substack around repeatable investing workflows and practical process tools enhanced by AI.
You are probably wondering if there is more that AI can do to help you invest better. And you suspect that others have been using it to far greater effect.
Well, I have good news for you: you are right on both counts.
I say good news because you aren’t really ‘behind.’ These are still the very, very early days of AI. Nobody has figured out how to use it perfectly. And many, if not most, of your peers use it as little as you do.
Think about what is stopping you from using AI in a better, more systematic way that will actually improve your investing.
While you are thinking, I can tell you what it was for me. I am 47. When I dove into figuring out how to use AI for investing ~ 2 years ago, I was 45. Let’s be honest, change, especially for an experienced investor, is hard. I was as set in my ways (which worked well enough) as you are.
So despite my 25 years of professional investing, my MIT Computer Science degree and my 7+ years of teaching investing to college and graduate students at Babson College, I was simply afraid to start doing things differently.
The fear isn’t irrational. AI is the fastest-changing technology I have ever seen. Every day some new tool is released. Someone puts out a video on something. A new model ‘drops’.
It actually is overwhelming.
If you go about it the wrong way, that is. And as a result, you aren’t reaping the meaningful benefits of AI for your investing that are there for you if you change your approach.
If you incorporate AI into your process the right way, it won’t be scary or overwhelming at all. It will feel so simple that you will wonder why you haven’t done this before.
Here is the thing: you don’t need to be up on the latest nuances of AI technology. Nor do you need to pay tens of thousands for fancy AI services that claim to simplify AI, but in their own, limiting way.
Instead, you need to think about 2 things:
Your investment process and areas where it can be improved
Workflows utilizing AI that can help you accomplish #1
That’s it. The tool can be very simple, but if it’s harnessed intentionally and plugged into your process correctly, it can make a big difference.
You don’t need me, or anyone else to do this. All the information is out there, and you can get it yourself for free. I know, because I spent the last 2 years immersing myself in this world, experimenting, learning (and building) new tools, and implementing new workflows.
What I can do for you, however, is make this process much faster and easier. I have already spent the time and have a good grasp of how to use AI effectively for investing.
This way you get to focus on what matters - improving your investing, rather than spending countless hours reinventing the wheel or ignoring the meaningful benefits that AI has to offer.
With that in mind, I am relaunching the paid Substack tier around AI for Serious Investors.
What Paid Membership Includes
My promise to you is simple: if you join you will be able to add at least 3 useful and easy-to-implement AI-enhanced workflows to your process that will make a difference in your investing.
Here are some of the things that you will get as part of your subscription:
The Toolkit: Workflows for recurring investing jobs, including finding special situations, identifying competitors for deeper research, reviewing management incentives, building a sourced bear case, and, for Annual and Founding members, running a PULSE triage on new ideas.
Downloads: Easy-to-use resources such as Claude Skills behind those workflows, with installation or operating instructions, known limitations, required checks, and last-tested dates.
The Mental Model Scorecard member app: Score a company on key questions, save the entry, repeat the exercise after earnings or another material event, and compare what changed. Then inform your portfolio construction process by tracking which investments have the highest/lowest score and which have a score that is increasing/decreasing the most.
Full library of 22 Investment Autopsy case studies: See what has worked and what has not for experienced investors, and lessons learned that you can use to improve your own approach.
Continuing additions: At least 1 new workflow, tool or deep-dive each month.
Annual and founding members also receive the Full PULSE template with Bloomberg codes (sold separately for $299) and recorded office hours twice a year answering your questions related to the investing process and AI.
One thing that is not changing is that there will still not be any investing recommendations or portfolio transparency anywhere on this Substack. So if you are looking for those, please don’t subscribe.
To use the full collection of Claude workflows, you will need your own paid Claude plan. The Full PULSE template with Bloomberg codes requires desktop Excel, the Bloomberg Excel add-in, and an active Bloomberg subscription. The Mental Model Scorecard requires neither.
The Limitations of AI
AI hallucinates. Occasionally it makes mistakes, both of commission and of omission. Sometimes it doesn’t fully follow your instructions.
This varies model to model, and even run to run. Unfortunately, it’s a structural limitation of the current state of the technology and there is nothing that I know of that can completely eliminate this.
With that in mind, why do I think these workflows are still very useful? A few reasons:
Much of the time there won’t be a material mistake
The times there is one, the output is still usually more than good enough for the intended purpose of the workflow
Frequently your alternative will be not doing anything at all for a particular process step, which would leave you worse off.
These limitations are also a reason why I am a big advocate of not outsourcing everything to AI, but rather of being selective in a way that has helped my process and that I will share with you.
Pricing and the Annual Guarantee
Pricing for new subscribers:
Annual Membership: $499/year ($41.58/month billed annually)
Monthly Membership: $99/month
Founding Membership: $999/year, voluntary support with the same access as Annual
I really believe that the Annual Membership is the one that will benefit you the most. Improving your process requires continuous engagement, and I think you will get the best results by learning and trying out new workflows with me over time.
At the same time, I get that spending $499 before you try out what I am offering and see if it works for you can feel like a lot. So I will make it simple.
If you subscribe as an Annual member and:
Try one of my recommended workflows end-to-end
Email me a request for a full refund telling me which workflow you ran and where it came up short
I will grant you the full refund regardless of your reasons (the first time that you request it) if you email within the first 30 days of your subscription.
If you are an existing paid subscriber, you should have received an update email with additional details. You already have full access to the Mental Model Scorecard, so I highly recommend you go check it out.
How These Workflows Can Improve Your Investing
The benefit to you from all of this is that you can improve your investment process by making it both faster and more thorough. I have done countless hours of the hard work of figuring out what works well, and now you can benefit without having to put in that effort.
I obviously can’t promise you any outcomes. What I can tell you is that I will work hard to reduce the friction and share my hard-earned experience so that you actually use AI systematically in your investing, rather than just read about it in the news.
Let me make one thing clear. I am not making ‘stuff’ for you.
I am making tools and workflows for myself that I use in my own professional investing. So I am not sitting there trying to guess what you might want or what might be useful to you. I am giving you access to what I already tested and found to be useful to me. The odds are pretty good that many of these will also be helpful to you in your investing.
So let’s go back to where we started, to the question of how AI will help your investing, and as measured by what? My answer for you is:
You will spend less time on the tedious part of the investing process without reducing the quality of your work.
You will have the opportunity to look at more promising investing candidates.
You will have the tools to make better, more systematic decisions in places where your process was either absent or inconsistent.
What you get is the chance to bring your process to the level you have always felt it should be at. And if you, like me, believe that over the long-term results follow process, then the benefits are clear.
What Stays Free
The free tier will continue, and the whole library that was free will remain free. I want the freedom to write about whatever I think will help investors of all levels of experience here, without a schedule or purpose other than my own enjoyment and desire to give back.
Where to Start
Explore The Toolkit: see the current workflows and what each one is designed to do.
Ready to use them in your own process? Subscribe as an Annual member:
Run the free Mental Model Scorecard. Paid members can save, compare and analyze entries over time.
Disclaimer: Not financial advice, for educational purposes only. AI can make mistakes. Check its output and make your own investment decisions.
About the author
Gary Mishuris, CFA is the Managing Partner and Chief Investment Officer of Silver Ring Value Partners, an investment firm that seeks to apply its intrinsic value approach to safely compound capital over the long-term. He also teaches the Value Investing Seminar at the F.W. Olin Graduate School of Business.