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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

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

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

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.

The EASIEST way to make money with AI in 2026:
1. Audit every task you do daily
2. Identify your top 1-2 pain points
3. Build AI automations around them
4. Create organic content documenting the process
5. Build an offer around proven demand
Don't overcomplicate it.

This one Hermes workflow has been a complete game-changer.
Literally everyone should set this up:
Connecting Granola to Hermes Agent.
It turns Hermes agent into your personal knowledge base - trained on all your meetings, notes, and even random brain dumps.
If you're unfamiliar, Granola is an AI tool that sits in the background of every call and automatically transcribes and summarises it.
By connecting it to Hermes, that data flows straight into your agent's memory with no manual filing required.
You don't even need to be in a team meeting to use it.
I'll literally start a solo Google Meet wi

Robinhood's new agentic trading MCP is live now.
In <60 seconds, you can set it up to have AI agents trade autonomously on your behalf.
This is hands down the easiest way for anyone to get started with AI trading.
Here's how to get started (you'll want to save this):
Step 1. Pick your AI platform
Robinhood's Trading MCP works with Claude Code, Claude Desktop, ChatGPT, Codex, Cursor, Grok, and more.
Pick your preferred harness for trading (I like Claude).
Step 2. Connect it
For Claude Code, run this in your terminal:
" claude mcp add robinhood-trading --transport http "
Then type /mcp, select

This is the only post you need to master loop engineering,
If you still feel overwhelmed with /loop - you'll want to save this.
To be honest, prompt engineering is dead. Your only focus should be on mastering loop engineering.
Here's the entire framework broken down:
The old way vs the new way of prompting
Old way: you prompt → AI responds → you check it → you reprompt → repeat.
New way: you define the goal once. The AI tries something, checks its own work, fixes errors, tries again, and marks itself done.
This only works now because Fable 5 and GPT-5.6 Sol are actually smart enough to self-co

The best way to generate real income with AI in 2026 isn't building a product or SaaS.
If I'm being honest, those markets are just too competitive for the average person to break into.
But there's one AI income path almost anyone can start - and I'm extremely bullish on it:
Every entrepreneur I talk to wants to cut their headcount. Yet, most have no idea how.
Even my dad, who has been running a business for 15+ years, is still doing everything manually.
The person who can introduce and set up basic AI systems for real brick-and-mortar local businesses has a literal money printer in their hands

In 2026 and beyond: Soft skills > hard skills.
AI has commoditized most hard skills.
As someone who runs a 35+ person business, these are the soft skills I'm looking for more than ever:
• Leadership
• Persuasion
• People management
• Decision-making under pressure
• Networking
• Storytelling
• Personal brand/reputation
• Discipline & consistency
• Emotional intelligence
• Creative taste
• Vision
• Adaptability
• Strategic thinking
• Risk tolerance & conviction
• Hiring & talent evaluation

People are overcomplicating the process of learning AI for no reason.
If you want to master AI, just do this one thing:
Go about your normal day (online shopping, spreadsheets, emails - whatever you already do), and all day, keep a Claude Code or Codex tab open on a separate monitor.
Then, treat it like a personal assistant that can access your entire computer.
Before doing any computer task, delegate to Claude/Codex.
Online shopping? Ask it to find coupon codes and cheaper alternatives for whatever you're buying.
Doing research? Ask Codex how it can help.
Lost a file? (this literally happened

growth is hard.
most people run from it.
instead, face it head-on.