Choose Who Gets a Seat at Your Table

In the first post, we explored a simple shift: you’re no longer just the average of the five people you spend time with — you’re the average of the agents you interact with. In the second, we audited our cognitive environment, asking which inputs are shaping our thinking and whether they’re helping or hurting.

Now comes the next step.

Up to this point, the focus has been awareness. Noticing the forces shaping how you think. But awareness alone doesn’t change outcomes. What matters is what you do with it.

Because the algorithms and AI agents surrounding you today are not passive. They are recommending, responding, teaching, nudging, and increasingly acting on your behalf. More importantly, they’re no longer confined to a screen.

They’re becoming part of your physical environment.

Before digital became embedded in daily life, surrounding yourself meant choosing the right people, books, and conversations. Even in the early internet era, it mostly meant curating what you consumed.

But that perspective is evolving.

Your environment now includes digital agents, recommendation systems, and increasingly physical systems — cars, wearables, and devices that don’t just deliver information, but interact with you and on behalf of you in real time. The shift is subtle but important. You are no longer just consuming inputs. You are being shaped by systems designed to engage with you.

Dr. Daniel Amen, founder of Amen Clinics talks about asking a deceptively simple question: “Is this good for my brain or bad for my brain?”

That question becomes more powerful in an agentic world.

Because many of the systems around us are optimized for attention and engagement, not for clarity or growth. Left unchecked, your environment will drift toward distraction. Not because it’s broken, but because it’s working exactly as designed.

Which means the responsibility shifts back to you, even if those systems are increasingly agentic and capable.

Filtering out what’s harmful is a start, but it’s not enough. The real opportunity is to design an environment that actively strengthens you.

As we begin to rely more on agentic systems, it becomes even more important to maintain control of the questions we ask. Asking good questions is still a core part of learning. That responsibility doesn’t go away and in fact becomes more valuable.

Through the lens of the four circles of brain health - biological, psychological, social, and purpose, you can begin to evaluate the AI systems and agents around you differently. Not just by whether they entertain you, but by whether they improve your energy, sharpen your thinking, deepen your relationships, and align with where you’re trying to go.

At that point, the question becomes more than a filter. It becomes a design principle.

“Is this good for my brain or bad for my brain?”

Now imagine where this is heading.

You get into your car, and instead of defaulting to passive listening, your environment adapts to you. It continues a conversation you started earlier. It tests your understanding. It challenges your assumptions. It teaches in a way that responds to how you think, not just what you hear.

Instead of reaching for your phone and defaulting to a feed, your agent asks whether you want to continue a lesson, revisit an idea, or quickly scan what matters. It acts on your behalf, sometimes fully autonomously, other times as a collaborative advisor.

This is no longer content consumption. It’s interactive cognition embedded into your daily life.

And it won’t stop with cars. The same pattern will extend to wearables, home environments, and autonomous systems that influence how you spend your time and attention throughout the day.

Which leads to a different kind of question.

If your environment is already shaping how you think, what happens when you start designing it intentionally?

Not as a loose collection of tools, but as a system. These aren’t just tools anymore. They’re autonomous systems that can reason, act, decide, and interact — what we’ve framed as agentic.

Not as a single assistant, but as multiple perspectives.

In a world of infinite inputs, the advantage shifts to those who design their environment, not just consume it.

This is where the idea of an Agent Council emerges.

A way to surround yourself not just with information, but with structured ways of thinking designed to sharpen your decisions instead of quietly shaping them.

The next step is to design it intentionally — not as a single assistant, but as a set of perspectives.

Instead of relying on one voice, you surround yourself with multiple agents, each representing a different way of thinking. Not random tools, but deliberate lenses that challenge, refine, and expand your decisions.

One useful way to structure that council is through the four circles of brain health.

At a high level, every decision you make impacts four systems: your biology, your psychology, your relationships, and your sense of purpose.

Most decisions fail not because they are wrong in one dimension, but because they ignore the others.

An Agent Council ensures each of these perspectives has a seat at the table.

The biological lens focuses on energy, recovery, and physical state. It asks whether a decision will improve or degrade your ability to perform. Today, that voice is already emerging in wearables and training systems that track sleep, recovery, and performance, nudging you toward better habits. As these systems become more agentic, they won’t just report data — they’ll guide behavior in real time.

The psychological lens focuses on stress, clarity, and emotional regulation. It asks whether something creates focus or fragmentation. Early versions exist in mindfulness and meditation systems that guide attention and reduce cognitive noise. As these evolve, they begin to feel less like tools and more like adaptive companions that respond to your mental state.

The social lens focuses on connection and relationships. It asks how decisions affect the people around you. Today’s tools already shape how we communicate, but rarely with intention. An agent aligned to this lens would help strengthen relationships, not just optimize efficiency.

The purpose lens focuses on meaning and direction. It asks whether your actions align with who you want to become. Coaching-style AI is beginning to emerge here, helping clarify goals, reflect on progress, and maintain alignment over time.

Each lens is incomplete on its own.

Together, they create a more complete picture.

In practice, this means creating agents that represent each of these perspectives. Not as rigid personas, but as thinking roles.

When you bring a decision to your council, each agent evaluates it through its lens. One may push back on something that looks good on paper but drains your energy. Another may surface hidden stress. Another may highlight unintended consequences in relationships. Another may question whether the direction itself is worth pursuing.

You’re not looking for agreement. You’re looking for perspective.

Because better decisions are often found at the intersection of competing views.

As agents move beyond the screen and into your environment, this council doesn’t just live in a chat interface. It travels with you.

In your car, your learning agent might continue a conversation from earlier in the day, challenge your assumptions, or test your understanding. A wearable might detect stress and shift your inputs toward recovery. Your environment begins to adapt not just to what you want, but to what you need.

The council becomes ambient. Always present. Always shaping.

Some of the most important agents won’t be the ones you download. They’ll be the ones someone decides to build.

The goal isn’t to outsource your thinking. It’s to upgrade it.

Instead of reacting to whatever inputs show up, you design a system that consistently sharpens how you think, decide, and act.

Because in an agentic world, you will be surrounded.

The only question is by what and who gets a seat at your table.

Next in the Agent Stack Series: what happens when your environment, agents, and decisions become a system. Or head over to 5104 Tinker Lab to see how to collaborate with an Agent to build a Brain App.