The Generative Commons

A structural framework for understanding how cooperation grows and why it collapses.

We often assume that order comes from adding more control: more process, more oversight, more rules. It’s an understandable reaction when systems feel strained. But control only works when the underlying conditions for cooperation are already strong. When those conditions weaken, control becomes expensive and surprisingly ineffective.

The Generative Commons is a way of understanding the structures that lead to cooperation, allow it to grow and importantly, understand what happens when those structures erode. Rather than focusing on motivation or personality, it looks at the conditions that make coordination possible in the first place.

At its core are three elements:

  • Shared meaning — how people interpret what is happening.
  • Interaction surfaces — where that meaning becomes visible.
  • Commitments — agreements that can guide action.

Together, these elements create a feedback loop: meaning shapes interaction, interaction shapes commitments, and commitments stabilise meaning. This dynamic shows up in civic life, institutions, technical systems, and collective action. It shows up anywhere cooperation has to hold under pressure.

When feedback stays open, systems adapt. When it closes, systems defend.

The Three Conditions of Cooperative Capacity


Abstract image representing shared meaning

Shared Meaning

Shared meaning is not perfect agreement. It is intelligibility: the ability to look at the same situation and understand its significance in similar ways.

When shared meaning is strong, people anticipate one another’s actions. When it weakens, coordination becomes guesswork.

Shared meaning drifts when information moves faster than interpretation can keep up. This is a common feature of complex, high-velocity environments.

Abstract image representing interaction surfaces

Interaction Surfaces

Interaction surfaces are the places where work, decisions, or behaviour become visible enough to coordinate around. Meeting rituals, shared documents, open data, dashboards, code repositories, etc...

If these surfaces are open, they allow feedback, correction, and reinterpretation.

If they become closed, obscured, or fragmented, cooperative capacity falls. People begin working around systems instead of through them.

Abstract image representing commitments

Commitments

Commitments are the promises that allow coordination to compound: deadlines, roles, decision timelines, responsibilities, standards.

When commitments emerge from shared meaning, they guide action.

When they are imposed without it, they become performative and systems start managing appearances rather than outcomes.

Open vs Closed Systems


Every coordination environment switches between two modes:

  • Open mode — feedback is treated as information, and the system uses it to improve.
  • Closed mode — feedback is treated as interference, and the system hardens to defend itself.

The change is easy to miss. A single closure; a breakdown in meaning, a hidden interaction surface, or a rigid commitment can increase coordination costs everywhere else.

People often “try harder” as systems close, but effort cannot compensate for structural reality.

Predictable Failure Modes


Abstract image representing enclosure

Enclosure

A single actor or node controls a critical pathway. Flexibility collapses because work must route through one point.

A team cannot progress on a project because only one person knows how to run the deployment script. Work stalls whenever that person is sick or busy.

Abstract image representing semantic drift

Semantic Drift

People use the same words but mean different things. Reports, expectations, plans, and decisions diverge.

“Complete” means “code finished” to engineering, “tested” to QA, and “shipped” to the product manager. Everyone believes they are aligned... until they aren’t.

Abstract image representing diffusion

Diffusion

Too many priorities or frameworks compete. No one can hold the whole picture, and coherence fractures.

A strategy meeting ends with nine “top priorities.” Teams execute locally, but no one holds the whole picture, so the organisation makes progress on everything and momentum on nothing.

Recognising the failure mode makes intervention simpler and more precise.

What Generativity Looks Like


A generative environment becomes stronger with each cycle of interaction:

  • Meaning deepens instead of drifting
  • Interaction surfaces stay open
  • Commitments are understood rather than imposed
  • Feedback improves the system rather than colliding with it
  • Problems surface early, before becoming crises
  • Cooperation becomes a structural property, not a moral aspiration

This is not “being nice.”

It is maintaining the conditions that allow cooperation to evolve faster than control structures need to grow.

How Cooperative Capacity Expands


Restoring cooperative capacity does not require upheaval. It requires clarity:

  • Rebuild shared meaning by making interpretation visible, not assumed.
  • Open interaction surfaces so feedback can circulate constructively.
  • Renew commitments in ways that reflect the shared understanding that supports them.

These conditions allow systems of any scale to regain the ability to respond, adapt, and create value without resorting to defensive control.

This is the core of the Generative Commons: a simple framework for seeing how cooperation grows, why it falters, and how it can be renewed.


New articles published throughout 2026.