Start Here
Intro to AI
For the 48% who don't know where to start. Clear, practical guidance.
Prompt Library
Copy-paste prompts that actually work. No fluff.
Context Template
Stop repeating yourself. Make AI remember.
Ready for More?
Level up with in-depth training and powerful tools.
What Nobody Tells You About AI
The real barriers to AI adoption—and the hard truths I've learned building products and working at enterprise scale.
Why do 85% of AI projects fail?
Companies jump to implementation without understanding where AI adds genuine value vs. where it's just hype. They don't design for AI's unpredictability, and they don't know what "scalable AI product" actually means beyond the pilot.
Most failures happen before you write a single line of code.
What friction is everyone ignoring?
I've documented 10+ fundamental friction points in human-AI collaboration: vague revision requests, content approval gaps, invisible time constraints, shifting motivations. These aren't bugs—they're infrastructure gaps.
Nobody's building the collaboration layer. That's the opportunity.
Where does AI actually fail?
Built 5+ products. AI struggles with factual accuracy, multi-step reasoning, consistency over time, and nuanced context. The gap between demos and production is massive.
Know the limits before you build. It'll save you months.
Latest Thinking
5 Problems Everyone Has With AI (And How to Fix Them)
The real barriers to AI adoption—and the practical solutions that actually work.
Why 75% of AI Projects Fail
I've seen this at scale. Here's what companies get wrong about AI adoption.
Live Products
I learn by building. Each product taught me something different about what AI can actually do, where it falls short, and what users genuinely need vs. what sounds impressive.
AI-powered fortune-telling game. The challenge: making AI feel magical without feeling robotic. Discovered that users want transparency AND mysticism—they know it's AI, but they want to believe in the vibe.
Cathartic screaming app with Lisa Frank chaos. The surprise: AI is genuinely good at empathy when you design for it. The trick is making encouragement feel real, not performative—harder than it sounds.
Millennial witchcraft platform—"magic for people who want the vibes, not the rules." Building this taught me: sophisticated personalization doesn't have to feel complicated to users. Make the AI invisible where it matters, magical where it counts.