Shane Pope, Praveen Mayakar & Gerrett Archambault — Meta-Cognition in the Age of AI: Part I | CYOG Episode 01

There is a version of the AI conversation that never slows down.

It is focused on speed, output, automation, and the next thing the machine can do for us. The question is usually, “How can AI help me get more done?”

That is a useful question. It is also incomplete.

In this Create Your Own Gravity conversation, Shane Pope, Praveen Mayakar, and Gerrett Archambault continued a thread about a different possibility: using AI not simply as an answer machine, but as a mirror, a thinking partner, and a system that can help us practice metacognition.

Who was in the room

Joe Moore and Katrena Drake hosted the conversation, with Shane Pope, Praveen Mayakar, and Gerrett Archambault returning to a question they had already begun exploring together.

Shane brings the perspective of a founder building human-centered tools for reflection. Praveen approaches the subject as a systems thinker who pays close attention to attention itself. Gerrett works at the level of individual and collective transformation, where experience has to become integrated knowledge before it can become wisdom.

The conversation sits inside the broader Digital Cowboy work of making great voices heard: bring the idea into the room, let it meet other people, and notice what becomes possible when the question gets better.

The question beneath the conversation

Metacognition is often reduced to a simple definition: thinking about thinking. But the group moved beyond the definition quickly. The deeper issue is whether we are willing to create the space required to notice our own patterns, question our assumptions, and integrate what our experiences are trying to teach us.

Experience does not become wisdom by itself

Most of us move through life at a pace that leaves very little room for reflection. We collect information, respond to messages, finish tasks, make decisions, and move on to the next demand.

The problem is not that we lack experiences. The problem is that experiences do not automatically become wisdom. An event happens, but the meaning of that event is not always obvious. Until we step back and examine the pattern, we may simply accumulate a long series of disconnected moments.

Featured quote 1 — Step away to see the pattern

Praveen connected that same pause to attention. We do not have to become permanently detached from action. We need enough calm and clarity to recognize which patterns are helping us and which patterns are quietly carrying us in the wrong direction.

Attention is the first threshold

Attention is under constant pressure. Notifications, information streams, obligations, entertainment, and business demands all compete for the same limited resource.

When attention is always being pulled outward, there is little opportunity to look inward. That is why metacognition cannot be treated as a luxury that happens after everything else is finished. If reflection only happens when we hit a wall, we are allowing crisis to become our primary teacher.

Habits compound. A useful habit can create positive momentum. A destructive habit can create a negative spiral. Without observation, however, we may not realize which direction the spiral is taking us.

What if AI asked the next question?

Most people use AI by prompting it. They provide the request, and the system produces an answer, plan, summary, or piece of content.

But what if we reversed the relationship? What if the system asked one question at a time? What if it helped surface what we already know before rushing to give us an answer? What if it helped us identify the assumptions beneath a decision, the patterns beneath a problem, or the knowledge hidden inside our own archive?

Featured quote 2 — Let the system prompt you

That distinction changes the role of the technology. AI becomes less like an oracle and more like a practice partner. It can help draw out the thinking that is already there, provided that the human being remains responsible for the meaning and the decision.

A question-asking tool can protect human agency

Shane came at the same idea from a practical direction. People already carry an enormous amount in their minds. They may not need another tool that adds information and instructions. They may need a tool that helps draw out what is already there.

Featured quote 3 — Ask the next question

The point is not to hand over the steering wheel. The point is to gain a clearer view of the road. A question-asking AI can support human judgment; it cannot become a replacement for having judgment.

From individual reflection to collective intelligence

The conversation eventually moved from the individual to the organization.

At the collective level, metacognition becomes an organization’s ability to sense itself: to notice how it makes meaning, how it makes decisions, and how it responds to change. An organization can move quickly and still be moving in the wrong direction. It can collect data without understanding what the data means. It can build systems that preserve old assumptions while believing it is innovating.

Shane offered the image of a car traveling 150 miles an hour. If nobody pulls over to inspect the engine, check the tires, or confirm the destination, speed becomes dangerous. The faster an organization moves, the more important the metacognitive layer becomes.

What the conversation makes possible

AI is powerful because it can help us create, organize, compare, analyze, and act. But the deeper opportunity may be its ability to help us become more aware of how we are thinking.

The best use of AI will not always be the fastest answer. Sometimes the better use is the next question. Sometimes it is the pause before the decision. Sometimes it is the mirror that helps us see the pattern we have been repeating.

The future of human-plus-AI intelligence will depend on whether we use the technology only to amplify activity or also to deepen awareness. If we can build systems that help people slow down enough to think clearly, then AI becomes more than an efficiency engine.

It becomes part of the space where better thinking can emerge.

Frequently asked questions about metacognition and AI

What is metacognition?

Metacognition is the ability to notice, examine, and influence your own thinking. It includes recognizing patterns, questioning assumptions, and reflecting on how experience is becoming knowledge.

Can AI improve metacognition?

AI can support reflection by asking questions, surfacing patterns, and helping people work with their own notes or experiences. It should support human judgment rather than replace it.

Why does attention matter?

Reflection requires enough space to notice what is happening. When attention is continually pulled outward, it becomes harder to see the assumptions and habits shaping a decision.

What is collective metacognition?

Collective metacognition is a group or organization’s ability to examine how it thinks, decides, learns, and adapts. It turns reflection into a shared operating practice.

Enter the room

These questions become different when they meet real people. A founder, a systems thinker, a facilitator, and a room full of builders can see different edges of the same problem.

Hear the full Create Your Own Gravity conversation and stay with the questions that do not resolve on command. Your words build worlds. The question is what happens when those words meet a real human life.