The real mechanics behind ChatGPT explained clearly. Transformer architecture, attention mechanisms, training process, and honest limitations. No hype, just how it works.

A practical framework for calculating return on AI investments. Why most AI ROI calculations fail, which metrics actually predict success, and how to set realistic time horizons for payoff.

Should you write detailed mega-prompts or keep it short? Learn when each approach works and how to choose the right prompt length for your task.

The real differences between open and closed AI models. When each makes sense, what you give up, and why the distinction matters for your work.

Should AI models be open for anyone to use, or kept proprietary? Here's what the debate is actually about and why it matters for the future of AI.

Learn the essential components of effective AI prompts and how to structure them for better results. Practical breakdown of what works.