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Making money with AI starts by solving a real problem for one specific type of customer.
At the end of the day, nobody cares if you use AI.
Businesses only care if their problem is solved or they're measurably saving time/money.
Learn a foundational skill → Solve real problems with that skill → Add an AI layer on top for efficiency (once you're already good).
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Highly recommend you watch the full episode:
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Outside of our little 𝕏 bubble, the average person has no clue what's happening with AI.
People still think "AI" means ChatGPT.
If you've used an agent, connected an MCP, or better yet, run loops, you're literally in the top 0.1% of AI users.
Unlimited opportunity.
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Most people don't know this, but Anthropic regularly contributes to a GitHub repo of cybersecurity agentic skills.
700+ skills, 25+ security domains, 5+ framework mappings.
I went through the whole thing and built a prompt that secures your codebases.
It gives any AI agent the security skills of a senior analyst:
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Ok, so just to get this straight.
Sam Altman: "We are in the singularity - AI is close to creating a genie that can grant any wish."
Dario: "This is the single most serious security threat we've EVER faced."
Either this is the greatest time in human history, or things are about to go horribly wrong...
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This is the most personal video I've ever put out.
What most people don't tell you about getting rich young..
This is the dark side most influencers will never discuss.
Watch now👇
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I've tested, built, and automated dozens of trading strategies with AI.
Sounds complicated, but it's way easier than you'd imagine.
Building used to require technical expertise. Now it just requires Claude.
If you want to build your first AI trading bot, follow these steps 9 steps:
1. Pick one strategy (RSI, EMA cross, mean reversion) - could even be your own strategy
2. Prompt Claude to turn it into a fully objective rule set. No discretion; every rule needs to be computable.
Entry/exit rules, position sizing, etc.
Turn everything into .md files.
3. Prompt Claude to convert those rules into T
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I tested 432 AI trading bots, and this one won.
In this video, I break down the BEST AI trading strategy (based on real data).
I also open-sourced the entire GitHub repo!
Watch now 👉
post-image
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A 6-step prompting framework that connects TradingView MCP + Claude.
Inject this straight into Claude Code, and it will instantly install the TradingView MCP.
Use this to backtest trading strategies, automate financial research & more.
Full prompting framework:
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Anyone can make money with AI.
The most realistic path: solve REAL pain points in your own life and then offer the solution to others who are a few steps behind.
The process looks like this:
1. Find something in your own life/work/business that's annoying, slow, or manual (ideally something you do daily)
2. Use AI to build an automation that buys back time (AI can help you do this)
3. Package what you built into a compelling offer (something you would actually buy yourself)
4. Pitch your offer (in-person local businesses have zero competition right now)
I don't see any reason why the average p
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The GARCH model is one of the most powerful trading frameworks used daily by real quant analysts.
My recent article explains exactly how I used Claude Code to automate this GARCH quant trading strategy.
Here's the full architecture behind it, with real numbers, and how I got Claude to build it for me:
What GARCH actually measures
It's a Nobel Prize-winning calculation, originally developed as "ARCH" by Robert F. Engle in 2003, then extended by his student Tim Bollerslev into the GARCH model quant desks still run today.
The whole point: market volatility isn't random. It's predictable. GARCH is
BTC-1.10%
SPX-2.97%
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wtf is a graph?
Loop engineering is already "dead," and we're entering the era of graph engineering.
I built a prompting framework that, if you send to Claude Code, teaches you the fundamentals of graph engineering.
Based on @IntuitMachine's amazing deep dive article.
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