The challenge: most people 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.

Even power users who constantly talk to AI products every day aren't necessarily getting everything out of it. And as the world of work and productivity change, as AI becomes ever more agentic and capable of taking over our systems, processes, and tasks, it is essential to become excellent at its use to get and stay ahead.

Every user needs to understand not just "prompt engineering," as you've heard described elsewhere.

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

• An understanding of how modern language models are influenced by even the slightest change to your prompt

• The nuances of how different tools are 'packaged' (using ChatGPT is very different from using GPT-4.5 integrated in a third party product)

• The incredible power of reflective techniques – the best outputs are 5 to 7 messages after your initial prompt

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 and other generative AI modalities (like image & video generation).

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.

We'll cover:

• How to consistently and easily judge new models as they're released for task-specific competence

• Nuances between reasoning, agentic, task-based, and primitive models

• Current power rankings based on real-world application (not biased evals)

We'll play with advanced uses of:

• Foundational SOTA models, like GPT 4.5, o3, 4o-mini, Gemini 2.5 Pro, Grok 3, Claude Sonnet 3.7

• Open source models like Llama 4 and DeepSeek-V3

• Agentic tools like Replit, Manus, GenSpark, and Devin

• Wrapper tools like Gamma, Napkin, and Perplexity

• My cheat code apps to 10x your workflow, both in ease and speed

I'll share my theory on the future of work.

And the OSD Framework I've developed to help people get ahead of the curve.

You'll learn about the 3 core muscles I believe every job will distill down to:

• Orchestration, the architect of AI-enabled systems

• Supervision, the human-in-the-loop steering or polishing outputs

• Delivery, the last-mile getting AI value to its end-user

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

• Learn how to use non-AI workflow applications to move dramatically faster and make advanced AI use 10x easier for yourself

• & 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?