Radical Agency

Think fractally. Act architecturally.

A 48-hour Socratic intensive for founders, executives, product leaders, technologists, and system-builders designing organizations and AI-powered systems in the age of agents.

The age of agents is here

Power is shifting from static institutions to networks of human and machine agents coordinating across knowledge fabrics. Organizations become minds-of-minds, nested in larger org-of-org systems.

What Radical Agency is

Radical Agency extends the inner inquiry of Radical Clarity into the outer work of building agentic, human-centric systems. It connects consciousness, identity, semantics, values, power, protocols, ledgers, and games.

For

  • Leaders shaping AI-powered products, platforms, or organizations.
  • System architects designing agentic fabrics, knowledge graphs, and protocols.
  • Builders who want systems that are powerful, profitable, and genuinely human-centric.

Not for

  • A tactics course or AI tooling bootcamp.
  • A product strategy workshop.
  • An ethics checklist layered on top of unexamined power structures.
01

Rendered Reality

How experience is constructed in humans, orgs, and systems.

02

The Fractal I

Identity in individuals, agents, organizations, and networks.

03

Semantics

How words, categories, prompts, and schemas shape behavior.

04

Value

Emotion, metrics, reputation, energy, and knowledge economics.

05

Power

Relationship, governance, and real human-in-the-loop design.

06

Memory and Time

Re/activity loops, learning, simulation, and system adaptation.

07

Org-of-Orgs

Minds-of-minds, agents, skills, data, APIs, ledgers, and platforms.

08

Agentic Civilization

The games, protocols, and ledgers you actually want to instantiate.

The Intergraph gap

Infrastructures like the Intergraph make it possible to encode minds, memories, semantics, experience, money, energy, games, protocols, and ledgers. Radical Agency asks which games you are encoding, for whom, and at what cost.

Investment

  • Program: 48-hour in-person Socratic intensive.
  • Structure: 8 90-minute sessions over a weekend.
  • Location: San Mateo, CA or announced per cohort.
  • Price: $4,995. Accommodation and meals are included; travel is not.

The Age of Agents is Here and Now

In the Age of AI, power shifts from static institutions to networks of agents - human and machine - coordinating across a global knowledge fabric. Organizations become fractal minds-of-minds, nested within an Org-of-Orgs ecosystem, where each "mind" is powered by agents, and each agent carries its own mind-like architecture.

Radical Agency sits between Radical Clarity (your inner architecture) and agentic fabrics like the Intergraph (the outer architecture). Where Radical Clarity examines how your mind constructs reality, Radical Agency examines how you encode that architecture into organizations, products, and agentic systems - including knowledge graphs, protocols, ledgers, and games.

What Radical Agency Is

Radical Agency is a 48-hour Socratic intensive for founders, executives, and system-builders who want to understand consciousness deeply and apply that understanding to the design of organizations, products, and AI-powered systems.

You won't leave with a pre-fabricated framework or reference architecture. You'll leave with clean, interoperable mental models for designing any agentic system - including, but not limited to, Intergraph-style fabrics.

The program extends the inner inquiry of Radical Clarity into the outer work of building agentic, human-centric systems. It weaves together:

  • Consciousness and identity.
  • Language, meaning, and value.
  • Systems, incentives, and power.
  • Agents, knowledge graphs, ledgers, and games.

These combine to offer a practical "mental OS" for designing in the Age of AI.

Consciousness, Practically Defined

When we say "consciousness" here, we mean that which is aware - the field in which thoughts, sensations, systems, and AI interactions all appear.

We don't require metaphysical beliefs; we stay on what can be directly observed in lived experience and in running systems.

The 8-Session Arc

Each 90-minute session blends deep inquiry into consciousness with concrete discussion of agentic architectures and knowledge economics - often using concepts that also power the Intergraph (Minds, Memories, Semantics, Purpose, Experience, Energy, Games, Protocols, Ledgers).

We move up and down a stack that looks like:

Consciousness -> Identity -> Language -> Value & Emotion -> Relationship & Power -> Systems & Time -> Org-of-Orgs -> Civilizational Stance

And keep mapping it to agents, minds, ledgers, and games in an agentic fabric.

1. Consciousness and Rendered Reality

How Experience Is Constructed in Humans, Orgs, and Systems

Distinguish raw awareness from the "rendered" world of concepts and stories.

See how humans, organizations, and AI systems all construct reality:

  • (a) Humans: through perception, memory, and narrative.
  • (b) Systems: through data, semantics, models, and knowledge graphs.

See how a knowledge graph is a system's way of "rendering reality," and how both human minds and Intergraph-style systems live inside their own renders.

Ground the rest of the program in consciousness as the field in which all experience - human, organizational, and agentic - appears.

2. The Self as Process and the Fractal "I"

Identity in Individuals, Agents, Orgs, and Networks

Explore identity as an ongoing process in consciousness, not a fixed object.

Map this to systems:

  • (a) Identifiers for humans, agents, services, and organizations, and
  • (b) Self-models: purpose, rights, capabilities, constraints.

See how personal "I", team "I", org "I", and agent "I" are all fractal expressions of the same underlying pattern.

Relate this to Intergraph-style primitives: Identities, Minds, and Purposes for humans, teams, orgs, and AI agents - each with their own Prime Directives, ledgers, and roles in a larger Mind-of-Minds.

3. Language, Semantics, and Meaning

How Words, Categories, and Prompts Shape Behavior

Examine how language and concepts define what is visible, possible, and important in human experience.

Connect to system design:

  • (a) Semantics, schemas, ontologies, and labels as the system's conceptual lens - its subjective ontology.
  • (b) Prompts and instructions as local protocols between humans and agents, and
  • (c) Intergraph-style Semantics and Protocols as ways to hard-code these lenses at the fabric level.

Learn to treat naming and semantic design as a primary lever of agency, clarity, and alignment: small choices in wording become large forces in behavior - for both humans and AI agents.

4. Feeling, Value, and Motivation

Emotion, Values, and Knowledge Economics

Understand emotions as signals of what is truly valued beneath surface goals.

Connect inner values to external systems:

  • (a) Metrics and optimization targets as codified values.
  • (b) "Experience" as accumulated reputation/credit, and
  • (c) "Energy" as spendable capacity to act: time, compute, money, attention.

See how values, experience, and energy form the basis of knowledge economy games played by humans and agents - the same primitives used in Intergraph's Knowledge Economics (Value, Experience, iCoin, Energy, Games).

Learn to design metrics, ledgers, and incentives that reflect real value rather than just what is easy to measure.

5. Relationship, Power, and Human-in-the-Loop

How Consciousness Relates, Coordinates, and Governs

Look at how consciousness relates to others: projection, empathy, control, collaboration.

Translate into organizational and system terms:

  • (a) Power as the ability to shape choices, information flows, and incentives.
  • (b) Protocols that govern how humans and agents coordinate, and
  • (c) Real human-in-the-loop: where human judgment, veto, and responsibility actually live.

Distinguish between symbolic human-in-the-loop (rubber-stamp approvals) and real human agency (actual veto power at critical decision points).

Consider how ledgers, scores, and automation can either centralize or distribute power across humans and agents.

6. Systems, Time, Memory, and the Re-Activity Loop

How Minds and Orgs Learn, Adapt, and Evolve

Explore memory, imagination, and learning in consciousness: how experience updates understanding.

Map this to organizations and agentic fabrics:

  • (a) Data streams, feedback loops, and reflection as forms of collective awareness.
  • (b) Simulation/imagination as scenario modeling and world-building before acting, and
  • (c) Time and computation as core resources: everything runs in ongoing re-activity loops.

See how Re/Activity Loops, shared "Intergraph Time," Memories, and Energy are system-level analogs of how a human mind remembers, imagines, and updates its understanding.

Explore how to design these loops so that both humans and agents become wiser over time, not just more optimized.

7. The Fractal Organization in an Org-of-Orgs World

Minds-of-Minds, Agents, Skills, Data, APIs, Ledgers, and Platforms

View organizations as Minds composed of many Agents of Mind: people, teams, tools, AI agents.

Place those org-minds within larger Org-of-Orgs networks: industries, ecosystems, alliances.

Examine:

  • (a) Skills/knowledge packs that extend agents and orgs.
  • (b) Data markets and APIs as the connective tissue among agents and orgs.
  • (c) Platforms-as-protocols: rules and patterns that others can adopt and build on, and
  • (d) Games and ledgers that define cultures, strategies, and trust between organizations.

Map these ideas to Intergraph's Mind-of-Agents and Internet of Intergraphs: a concrete substrate for Org-of-Orgs dynamics, data markets, and skill/knowledge pack exchanges.

Understand how agency expresses itself across a web of agents, orgs, and shared protocols, and where to intervene when things drift.

8. Standing as a Conscious Agent in an Agentic Civilization

From Inner Clarity to System Design and Civilization-Scale Impact

Return to consciousness: what is aware, prior to all roles and systems.

Recognize how patterns in thought, feeling, and action propagate into teams, organizations, products, and agent networks.

Situate organizational and system design within a larger movement toward:

  • (a) Planetary-scale intelligence and collective agency, and
  • (b) An Awake Internet where humans and AI agents co-create knowledge and value.

Connect the inner inquiry of Radical Clarity, the architectural inquiry of Radical Agency, and agentic infrastructures like the Intergraph into a single design question:

What kinds of Knowledge Economy Games, protocols, and ledgers do you actually want to instantiate?

Articulate a personal and organizational stance:

  • (a) Principles for what to build and what not to build, and
  • (b) Concrete experiments to apply these principles in the next 3-6 months.

Who It's For

Leaders, founders, product and technology heads, system architects, and policy shapers who:

  • Are building or influencing AI-powered products, platforms, or organizations.
  • Want a deeper understanding of consciousness and agency and how they scale into systems.
  • Intend to design systems that are powerful, profitable, and genuinely human-centric - including agentic fabrics, knowledge graphs, and AI-driven knowledge economies.

What Radical Agency Is Not

Radical Agency is not a framework course or ethics checklist. It is an upgrade to the mental models and felt understanding needed to design win/win systems - and to wield agency consciously - in the Age of AI, especially as we move toward an Internet of human and AI agents connected by fabrics like the Intergraph.

What Radical Agency Is

Radical Agency is a 48-hour, in-person Socratic intensive for people who design and steer systems in the Age of AI: founders, executives, product and technology leaders, system architects, and policy shapers.

Where Radical Clarity focuses on how your mind constructs reality, Radical Agency focuses on how you encode that architecture into organizations, products, protocols, and agentic fabrics - including knowledge graphs, agents, ledgers, and games.

It is not:

  • A tactics course or a product strategy workshop.
  • A framework, canvas, or "system design in a box."
  • An AI tooling tutorial or implementation bootcamp.

A Precise, Rational Conversation

Instead, it is a precise, rational conversation that reveals:

  • How concepts like identity, semantics, value, experience, energy, and games operate in your own mind.
  • How those same primitives reappear in agentic architectures, e.g., the Intergraph's Minds, Memories, Semantics, Purpose, Experience, iCoin, Energy, Games.
  • How your assumptions about human nature, power, and value silently shape the systems you build - and how those systems, in turn, shape humans and AI agents.

You don't walk away with a new ideology or a branded methodology.

You walk away with clear, interoperable mental models for designing fractal, human-centric systems and knowledge economies in an agentic world.

Why It Exists

Most ambitious builders are racing to deploy agents, platforms, and AI-powered ecosystems - on top of assumptions they've never fully examined.

They:

  • Design incentive structures without seeing the values and fears baked into their metrics.
  • Instrument systems with logs, scores, and ledgers without asking who those ledgers ultimately serve.
  • Build "human-in-the-loop" workflows where the human has no real agency or veto.
  • Talk about "alignment" and "ethics" while leaving their own relationship to power and value largely untouched.

The Intergraph Gap

At the same time, infrastructures like the Intergraph make it possible to encode:

  • Minds (for humans, orgs, and AI agents).
  • Memories and Semantics (what is remembered and how it is interpreted).
  • Experience, Money, Energy, and Games (how value, reputation, and capacity are tracked and rewarded).
  • Protocols and Ledgers (how decisions and actions propagate across networks of agents).

Radical Agency exists to bridge this gap:

  • Not as an ethics checklist layered on top.
  • Not as a "best practices" catalog for AI products.
  • But as a root-level inquiry into how your understanding of consciousness and agency becomes concrete architecture - in organizations, platforms, agent networks, knowledge economies, and, ultimately, civilization.

The Premise

It takes the depth of Radical Clarity and the architectural precision of works like the Intergraph, and brings them into one room with the people who are actually shaping systems.

The premise is simple:

If you're going to design Minds-of-Minds, agentic economies, and Org-of-Orgs networks, you should first see clearly which games you are encoding, for whom, and at what cost.

What You Will Encounter

Radical Agency does not attempt to give you "the right way" to build systems.

It simply removes enough confusion that you can see what you are actually doing.

Participants commonly report:

  • A sharper sense of how their inner architecture (identity, language, fear, value) is mirrored in their outer architectures (org structures, incentives, product design, protocols).
  • A clearer understanding of knowledge economics: how Experience, Energy, and value units (like iCoin) can be used to create win-win or extractive games for humans and agents.
  • A more honest view of power: where it really lives in their systems, who has real agency, and where "human-in-the-loop" is a story rather than a fact.
  • A more nuanced relationship to AI agents and fabrics like the Intergraph: seeing them not as neutral tools, but as amplifiers of the patterns they choose to encode.
  • A sense of design stance: clearer principles about what they are willing to build, what they will not build, and why.

You Can Expect To

  • Move repeatedly between direct experience (your own consciousness and identity) and concrete architectures (agents, graphs, ledgers, protocols, games).
  • Examine specific challenges - product decisions, governance models, incentive designs, data/AI architectures - not to solve them tactically, but to expose the assumptions and games underneath.
  • See how concepts from Radical Clarity (experience, identity, language, incentives, systems, AI as mirror) map almost one-to-one onto concepts from the Intergraph (Minds, Semantics, Re/Activity Loops, Experience, iCoin, Energy, Games, Ledgers).

These are not guaranteed outcomes; they are typical consequences of seeing more clearly.

The Program Promises Nothing

The program itself promises nothing:

  • No "X% better leadership."
  • No "Y% more effective AI strategy."
  • No "Z-step framework for responsible agents."

It offers something prior to all of that:

A clean, rational, non-woo conversation about how consciousness, agency, and architecture actually work - and how you are already using them to shape the systems, agents, and economies of the Age of AI.

Application

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