Q&A with "Compound with AI"
A Q&A with a fast growing substacker explaining how you can use AI to analyse stocks much faster and get better returns as a result
Below is a Q&A with
, where he explains how you can use AI to GROW YOUR WEALTH by analysing stocks faster allowing you to get better returns. ALL of his posts are FREE so make sure to check him out..And while you are at it why not subscribe to
for only $5/MONTH! where you can get EXCLUSIVE access to substack posts analysing the markets you cannot find anywhere else!1) What is your Substack about?
Compound with AI is built for long-term investors who want to get smarter, faster.
I use AI to speed up research so we can focus on what matters: understanding the business, thinking clearly, and making better decisions. Less grunt work, more insight.
I'm a retail investor and an engineer. I’ve used AI professionally and personally, and I naturally started applying it to my investing workflow. It saved me hours. So I decided to share the process with others.
2) How did you gain so many subscribers with only two posts?
Simple: distribution beats content volume. I share ideas and work-in-progress threads on X (Twitter), often with behind-the-scenes examples or insights. When I publish something worth keeping, I link back to Substack. People don’t follow post counts they follow value.
3) Why use AI to invest?
It’s a time edge. The investor who turns over more rocks finds more opportunities. AI helps you:
-Read faster
-Summarize better
-Spot red flags earlier
Let’s say you hear about a new company. You open the 10-K, investor deck, maybe earnings calls… and after 2 hours, you realize the business isn’t for you. That’s 2 hours gone.
Now imagine you get a solid AI summary in 10 minutes: business model, key numbers, risks, recent events. If it’s worth digging into, great—you go deep. If not, you move on. You can now scan 5x more ideas in the same time. That’s the game.
4) What investments did you find using AI? (My $EHLD trade)
Here’s a real one:
I noticed a small, quiet spin-off in the shipping sector. No buzz.
I knew the industry well, so I ran a custom DeepSearch prompt in Gemini asking for:
-Spin-off history
-Financials (parent vs spin-off)
-Strategic moves from filings & news
-Ship values (based on second-hand transactions)
-Scrap value (steel × tonnage)
-Net cash per share
Gemini generated a ~15-page research pack in minutes.
I followed up with scenario testing and deeper questions.
In under 1 hour, I had a full view. I bought at $6. One month later, it was $8.40 (+40%).
5) How do you validate AI outputs?
Trust, but verify. I:
Double-check numbers in filings (especially cash, debt, and share count)
Cross-check the same prompt in a second AI model
Manually audit any key metric before making a decision
The workflow: AI drafts → I verify → Then I decide.
6) Right vs wrong way to use AI in investing?
Wrong way: Blind copy-paste. No thinking. No challenge. Just reading what the model says and acting on it like it’s gospel. That’s dangerous. You end up outsourcing your judgment to something that doesn’t know your goals, your risk tolerance, or your strategy. And worse—you stop learning.
Right way: Treat AI like a smart intern with infinite stamina but no experience. You give it structured tasks:
-Summarize a 10-K
-Extract key financials
-List capital allocation decisions
-Compare competitors
-Flag anomalies
Then you read, interpret, and stress-test what comes back. Ask follow-up questions. Cross-check with filings. Frame scenarios. Write your memo.
The real edge comes from owning the final decision. AI helps you go faster and broader. But it’s a partner—not a pilot.
7) Go-to prompts? Favorite AIs? Routines? Cost?
My stack:
Gemini (DeepSearch) for structured business analysis
ChatGPT & Claude for synthesis, red teaming, memo writing
Prompts in deapserch mode :
-one specefic prompt for Business model analysis
-Management due diligence
-Capital allocation breakdown
-Fact-check & red flag scanner
Routine:
-Run master prompt
-Read fast + highlight key points
-Drill into capital allocation, unit economics, or risks
-Write a memo and the summaries all and share it with AI to have an analysis.
Gemini often has a 1-month free trial. start with it
8) Do you build your own models or use off-the-shelf?
I mostly use off-the-shelf AI (Gemini, ChatGPT) with custom prompts and workflows. If something is painful or repetitive i do automation. But no need to train your own LLM to get 99% of the benefit.
9) Performance lift since using AI?
Research time: 4h → 1h
That means 4x more reps → more learning, more shots at great ideas
I make better-informed decisions, faster
Returns still depend on price, timing, and judgment. But AI gives me speed without losing depth.
10) Skills investors need to partner with AI?
the skill is not technical but in the way of thinking and prompting :
-Think in frameworks: How do you analyze a business?
-Write prompts clearly: Can you explain what you want?
-Clarify your process: What are the inputs, filters, and outputs?
If you can't describe your investment process, AI won’t help you. But once you do, it's like giving that process a co-pilot.
11) How will AI change retail investing in 5–10 years?
The “resource gap” shrinks.
AI will auto-pull filings, standardize numbers, flag risks, and write quick summaries. More retail investors will get access to tools that used to be institutional-only.
we wil have 10 IA solution to so all the hard work
Edge will shift from data access to:
-Asking better questions
-Thinking in systems
-Acting with discipline
AI won’t eliminate the game. It just levels the field.
12) How do you balance AI and human intuition?
Simple: AI shows possibilities. Experience filters them. I never outsource conviction.
It’s easy to be impressed by smart outputs. But AI doesn’t “understand”—it processes patterns. That’s useful, but incomplete. Your judgment and reps still matter most.
13) What’s the biggest misconception about AI in investing?
The two extremes:
"AI will replace investors."
"AI is just hype."
Both are wrong. AI is incredible leverage—on grunt work. But it’s no replacement for thinking, incentives, or temperament. You still need to:
Know what matters and use IA for hard work but do the analysis yourself. IA is not magic but it's very very useful
14) How will AI transform financial advisory?
-
I’m not a financial advisor, but here’s my view:
AI will handle the low-value, repetitive tasks:
-Data collection
-Account sync
-Tax optimization
That frees up advisors to do more human work:
-Understanding goals
-Helping with behavior
-Building trust and confidence
most of things will be done via specific apps
15) Most surprising insight AI found for you?
In one case, AI flagged that the CEO of a company I was researching owned a separate private business. That entity was doing related-party transactions with the public company—basically extracting value quietly.
I had skimmed the filings, but missed that detail. AI didn’t. It connected dots and saved me from a trap.
16) Where to learn more about AI (besides your Substack)?
Honestly: best way to learn is to build.
Pick one company. Run your own research pack with AI. Compare it to your manual notes. Learn by doing.
Still.
ask AI to help you learn.
17) Where else can we find you? Why subscribe?
You’ll find me on X (@mosttt_) and on Substack. Subscribe if you’re a long-term investor who wants:
Faster research workflows
Real examples of AI used for investing
CONCLUSION
If you like this substack, make sure to like, comment below, restack and subscribe. You can become a subscriber to
and read all his posts for FREE. Alternatively, become a paid subscriber to for only $5/month. | A guest post by
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ThankS for sharing your thoughts on AI!
Thanks for the response!