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The six-layer map that gives every AI term a place — and every founder a way back into the conversation theyve been faking.

AI, ML, Deep Learning, Neural Networks — everyone uses them interchangeably. Theyre not the same. Heres the hierarchy that makes the rest of AI finally make sense.

LLMs, foundation models, open source, proprietary — these are the engines your strategy runs on. Heres how to choose the right one without a technical background.

The difference between a generic AI and one that works like a specialist inside your firm is the techniques you apply. RAG, fine-tuning, guardrails — explained without the jargon.

Copilot or agent? This single choice determines whether AI makes you faster or whether it changes what you can do entirely.

Eight questions that tell you whether your AI is actually performing — before a client meeting reveals it isnt.

The moat, the governance, the decisions that must stay human. Five layers of AI belong to your team. This one — nine questions, zero technical answers — belongs to you alone.

Six layers, one connected system. Heres how the foundation becomes the model becomes the technique becomes the product — and where your real AI strategy begins.