Feb 25 • Apply AI
Map Your AI Difficulty Axes and Build a Smarter Workflow
I spent 20 years optimizing factory floors. The lesson that applies to AI? Stop buying new machines when you haven't mastered the ones you have. 🏭
Every week someone asks me: "Tony, should I switch to Gemini? Is Claude better than ChatGPT? What about the new OpenAI model?"
Every week my answer is the same.
Wrong question.
I've seen this pattern before. New equipment arrives on the factory floor. Half the team wants to jump straight to it before they've understood the process it's meant to serve. The result? Expensive kit running at 30% efficiency while the real bottleneck — the process — stays broken. 🔧
AI is doing the same thing to businesses right now.
The models are genuinely different. Some reason harder. Some grind effort tasks at scale. Some handle ambiguity better than others. That differentiation is real and it matters.
But here's what I know from working with SMEs on AI adoption:
The bottleneck is almost never the model. It's the ask. 🎯
Most people describe their work to an AI the same way they'd describe it on a CV. Vague. High-level. Task-based. Then they get mediocre output and blame the tool.
The fix isn't a new subscription. It's decomposing what you're actually asking.
One board presentation isn't one problem. It's a reasoning problem, an effort problem, a coordination problem, and an ambiguity problem — all stitched together. Each one needs a different approach. Throw them all at one prompt and you get slop. From any model.
I've been building something inside Practical AI Academy to fix exactly this. 👇
A complete Prompt Kit that walks you through three things:
✅ How to decompose the difficulty types inside your real work
✅ How to pressure-test whether your current tool is actually the bottleneck
✅ How to evaluate AI output — not just generate it
Here's the truth nobody selling you an AI subscription wants to say:
Most people are sitting on top of a tool that can already do 80% of what they need. They just haven't asked it the right way yet. 💡
Build that skill first. Then — and only then — will you know if a different model actually earns its place.
Link to the Prompt Kit is waiting for you. 👇
What's the one task in your work right now where AI keeps disappointing you? Drop it below — I'll tell you which difficulty axis is the real problem. 👇
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Map Your AI Difficulty Axes and Build a Smarter Workflow
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