The challenge: most people who don't have a technical background do not understand the reasons why products like ChatGPT, Claude, or Cursor respond the way they do. Because of this, they also don't understand how to get what they want and need out of AI tools.

A quick story: my sister is a physician-scientist. She has an MD-PhD. She does cutting edge scientific research and works with data on the daily. Last year, we were on a video call where she mentioned being unimpressed with ChatGPT's response to her work question. She told me what she was trying to do, and I went, "wait, AI could definitely handle this - what did you type?"

I flipped the screen, pointed it at my monitor, and proceeded to have a conversation with ChatGPT that got her all the answers she needed in just a few minutes. This "capability unlock" has gone on to save her at least an hour in her work every day. DAILY. And she was mere seconds away from having given up on it, thinking AI wasn't yet good enough to get the job done.

And this is when I realized, every non-technical user needs to understand not just "prompt engineering," as you've heard described elsewhere.

It's more fundamental than that. It's...

• The reasons and treasons of why AI does or doesn't give you a good answer

• The nuances of technical limitations (safety, length, 'correct' output)

• The incredible power of chain of thought & reflective techniques

This 3-day intensive will cover the above, and so much more, with the outcome of getting you to become fluent in talking to AI systems, including large language models (like ChatGPT/GPT-4o out of OpenAI, Claude out of Anthropic, LLaMA out of Meta) and image generation models (like Midjourney, DALL-E, and Stable Diffusion).

And when I say "fluent," I mean something very specific. Just as language fluency isn't about memorizing phrases from a travel guidebook, AI fluency isn't about collecting prompts from Twitter. True fluency means understanding the deeper patterns of interaction -- knowing when to push, when to pivot, and most importantly, why.

Consider this: most courses teach you what to say to AI. This course teaches you how to think about AI conversation. It's the difference between learning to order coffee in French versus understanding why French speakers structure their thoughts the way they do.

What you'll get out of the 3 day intensive -

Day 1

Mental Models & Mechanics

• What AI knows versus what it can do; how AI reads, thinks, and speaks, + biases and limits

• The hidden landscape of latent space, embeddings, and vectors - what does it all mean for your usage?

• Differences in AI paradigms, LLM models, genAI models, and the applications that sit on top of them

Day 2

Conversations & Debugging

• Ask the unaskable: form questions that inspire LLMs to answer you; learn the DRIVE context framework

• Use layered prompting and multi-turn conversations for your most advanced queries and topics

• Get AI to "think out loud," giving you more data, more insights, and the ability to iterate over time

Day 3

Advanced Applications

• Use reflective and agentic techniques + products to get AI "working for you" - soon, you'll have a team

• Get multi-modal - combine models, model types, and apps to generate fast, impactful outputs

• & more: analysis, tools, fine-tuning, hallucinations, ethical considerations, and real world use

And more

• retrieval augmented generation (RAG), code use, integration + extensions, voice-based nuances

• chain of thought, reflection, context windows, and other AI concepts explained

• how do apps make use of LLMs, how is AI being integrated by companies across tech

At the end of this 3-day intensive, you'll...

• be able to transform vague ideas into incredible outputs, whether you're brainstorming, working with data and statistics, coding with AI, using it for workflow, asking it knowledge questions, utilizing it for research, adopting it as a content companion, or using it in an academic setting

• troubleshoot and debug AI responses - you'll know when you've hit a real limit versus a bug or user error, unlocking the boundaries of what AI can do before anyone else -- no matter the field you're in

• future-proof your skills - because you're going to have a deep understanding of how these products work, you'll remain capable of using them as the models are continuously updated and evolved, even as the rapid pace of AI development continues

It's about harnessing the power of this transformative technology to amplify your own creativity, productivity, and impact on the world. Get ready to go beyond "prompt engineering" and embark on a journey to truly master the art and science of communicating with AI. Are you ready to unlock the conversation?