What if AI's biggest strength isn't acting human — but being fundamentally different? Here's the shift that changes everything.

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Whether your AI "is an agent" is the wrong question — the right question is how agentic it needs to be for your specific use case. Your trading desk needs zero-ambiguity entity resolution; your research team needs creative exploration; your compliance docs need audit trails. Generic SaaS picks that balance for the broadest market, not your risk tolerance. The gap between flashy demos and production systems that auditors trust? That's where customization lives, and it's the only moat that compounds.​​

What if everything you've been told about "talking" to AI is wrong? You ask it a question, and it gives you a confident, yet completely fabricated, answer. You give it clear instructions, and it forgets them five minutes later. The reason isn't its "intelligence," but its lack thereof .

This episode exposes the reality behind the curtain. AI models like GPT aren't thinkers; they are powerful engines that run on probability, and your words are the code that programs them . Forget the idea of a friendly chatbot. It's time to become a programmer who uses language as their tool.

Listen now to learn:

• Why the name "Artificial Intelligence" is the biggest barrier to using it effectively .
• How to bypass AI's built-in "hallucination" feature by giving it better instructions .
• The truth about AI's "context window" and why it's the key to making the model work for you, not against you .

This is the perspective shift you need to go from a casual user to a power user.