⚡ Founder & CEO helping you level up | Follow for insights on self-improvement, leadership and AI productivity | 📢 TEDx Speaker | 🔨 T&O Surgeon
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Joined March 2009
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Forget prompt engineering.
This is decision engineering.
I built a process that forces LLMs to evaluate trade-offs, weigh risks, and justify outcomes like a boardroom exec.
Here’s the breakdown ↓
The meta-lesson:
Strategic thinking isn't about intelligence.
It's about process.
Force the model through a strategic process, you get strategic output.
Skip the process, you get pattern-matched vibes.
Most people are using AI like a search engine when they should be using it like a strategic advisor with a structured framework.
LLMs can make genuinely strategic decisions.
But only if you:
- Force explicit option generation
- Demand consequence mapping
- Make tradeoffs visible
- Add real constraints
- Require decisiveness
The models already have the capability.
Most prompts just never activate it.
I built something you don't want to miss out on...
Here it is:
We built ClipYard for ruthless performance marketers.
→ Better ROAS
→ 10x faster content ops
→ Full creative control
You’ve never seen AI avatars like this before → clipyard.ai
This is the best marketing framework you’ll ever see.
It’s called Big Mario Marketing and once you get it, every product pitch makes sense forever.
You’re not selling your product.
You’re selling the transformation it creates.
Your customer is little Mario small, struggling, wants to level up.
Your product? The mushroom. The result? Big Mario, shooting fireballs and destroying obstacles.
Most companies talk about their mushroom. Great ones talk about how it feels to throw fireballs.
That’s the shift.
Don’t say “our tool automates tasks.” Say “you’ll finish work two hours earlier and still get promoted.”
Nobody cares about your product.
They care about what it turns them into.
🔥 This might be the biggest AI plot twist of 2025.
Alibaba just dropped Tongyi DeepResearch a 30B parameter agent that beats GPT-4o and DeepSeek-V3 at deep research using only *3.3B active parameters.
💥 Fully open-source. Trained on 2 H100s for <$500.
The secret? A new “agentic mid-training” phase that teaches the model how to think like an agent before fine-tuning not just predict words.
All synthetic data. 32K+ token samples. 10+ tool calls per task.
Pure reasoning, zero humans.
Parameter efficiency just killed brute-force scale.
The future isn’t bigger models. It’s smarter ones.
Comment “Send” and I’ll DM you the paper.
I reverse-engineered how companies like Netflix, Amazon, and Meta keep you on their platforms and how you can do it for your social media brand.
This guide is better than a $5,000 course on branding.
Here's how you can become the next Mr. Beast in your niche:
You’re not fighting the algorithm.
--- You are the algorithm ---
Netflix learns from data.
Amazon learns from behavior.
Meta learns from emotion.
You should learn from attention.
Learn psychology → apply → analyze → refine.
That’s how you go from “posting content” to programming addiction.
Follow for more breakdowns like this next up:
“The MrBeast Formula for Retention and Trust (Simplified)”
(You know what I did here... 😉)
I built something you don't want to miss out on...
Here it is:
We built ClipYard for ruthless performance marketers.
→ Better ROAS
→ 10x faster content ops
→ Full creative control
You’ve never seen AI avatars like this before → clipyard.ai