ChatGPT for Professionals: How Top Performers Think With AI

This video introduces the SPARK framework, a practical way to use AI as a thinking partner in high-leverage moments. You’ll apply it throughout the course on real work.

In this video, we focus on context: what it is, why it matters, and how it changes the quality of AI responses.

You’ll see how providing clear context helps AI move beyond surface-level answers and become more helpful in real thinking situations.

This is a core skill you’ll use throughout the course.

In this video, you’ll learn why working with AI is an iterative process, not a one-and-done interaction.

We’ll focus on how small adjustments in direction, context, and questions lead to much better thinking and results over time.

This video helps you build the habit of refining ideas as they form, instead of accepting the first answer and moving on.

In this video, you’ll be introduced to the idea of AI teammates and why they’re useful for thinking, not just tasks.

You’ll see how giving AI clear roles and perspectives helps surface blind spots, challenge assumptions, and strengthen ideas.

These AI teammates will be used throughout the course to support your thinking on real work.

In this video, you’ll learn how to build your first AI teammate: Riley the Researcher.

You’ll see how to shape this role so it helps gather relevant information, surface patterns, and expand your understanding without overwhelming you with noise.

Riley will support higher-quality thinking by giving you stronger inputs before ideas and decisions take shape.

In this video, you’ll build an AI teammate designed to act as an Advisor.

You’ll learn how to shape this role so it helps you think through tradeoffs, implications, and next steps without taking over your judgment.

The Advisor supports clearer decision-making by offering perspective and guidance while keeping you in control.

In this video, you’ll build the Researcher AI teammate and define its role in your thinking process.

The Researcher is designed to expand perspective, gather signal, and support better ideas before conclusions are formed.

In this video, you’ll explore what it means to work with AI as a thought partner rather than a tool.

You’ll learn how different types of thinking benefit from different kinds of support, and how to identify the role AI should play in your work.

This sets the foundation for building AI teammates that strengthen your ideas, judgment, and decisions.

In this video, you’ll build your first AI thought partner and define how it will support your thinking.

You’ll learn how to clarify the role, perspective, and boundaries of this partner so it contributes meaningfully to ideas, judgment, and decisions.

This video sets up the foundation for creating more specialized AI teammates after the course.

In this video, we focus on how to stay in control when working with AI.

You’ll learn how to guide, question, and verify AI input so it supports your thinking without taking over decisions or credibility, including how to spot and avoid hallucinations.

This lesson helps you use AI as an aid to judgment, not a replacement for it.

In this final video, we focus on how to turn what you’ve learned into an ongoing practice.

You’ll see how to apply Electric Thinking consistently in your real work, without adding complexity or effort.

The goal is not to “use AI more,” but to keep using it where it genuinely improves thinking over time.