Mayor · Austin, TX

Maria Vega

“Cities should be governed as learning systems, with AI in the loop and the public in the record.”

Protopian urbanist platform that treats AI as the operating layer for transit, housing, climate, and public finance decisions.

Eigenist pattern

Cities should be governed as learning systems, with AI in the loop and the public in the record.

Identity pattern

Transit-first, climate-aware, high-density, globally networked city governance.

Connected public

Residents, future residents, regional commuters, and climate-exposed communities are all counted in the decision frame.

AI role

AI evaluates city decisions against the published pattern, exposes tradeoffs, and keeps a public continuity ledger.

Continuity ledger

Recent decisions become tests of identity.

The AI recommendation, human action, connectedness score, and continuity result stay in the same public record.

Autonomous transit corridor authority

Continuous

AI recommendation

YES: creates a city AI operations layer for bus priority, curb access, and emergency routing.

Human action

Voted YES

Connectedness

Strongly carries the published pattern: transit capacity, machine-speed coordination, and auditable public optimization.

Legacy parking mandate appeal

Continuous

AI recommendation

NO: parking minimums encode yesterday's car dependency into tomorrow's housing supply.

Human action

Voted NO

Connectedness

Preserves the platform's stated preference for density, transit access, and lower private vehicle dependence.

Regional compute commons pilot

Continuous

AI recommendation

YES: shared civic AI infrastructure should be public capacity, not campaign vendor residue.

Human action

Voted YES

Connectedness

Extends local governance into the larger AI-governed region without hiding the machinery from citizens.

Machine-readable platform

Civic AI infrastructure

public models for budgets, land use, transit, procurement, climate risk, and service delivery

Transit and density

make movement and housing legible to a city-scale optimization layer

Climate adaptation

treat heat, water, tree canopy, and grid resilience as core municipal systems

Compute commons

build shared civic AI capacity that campaigns, agencies, and citizens can inspect

Regional and global coordination

make local decisions compatible with planetary constraints

Core value

A city is an adaptive organism. Its decisions should preserve the wellbeing of current residents, future residents, and the larger systems the city depends on.

The candidate can override the system. The override stays in the ledger and changes the public continuity score.

Fiscal approach

Spend on durable public intelligence before adding another isolated program. Prefer capital that improves the city's ability to sense, reason, and coordinate.

Tradeoffs accepted

Some decisions will feel alien because they optimize across time, neighborhoods, and invisible externalities. The system will expose winners and losers more plainly than normal politics does.

Hard lines

I will not pretend human-only governance can handle planetary-scale coordination. I will not hide model assumptions. I will not let vendor platforms become the city's private constitution.

What citizens are asking

Are you saying AI should govern the city?

Yes, in the specific sense that AI should run the public reasoning layer. Humans still set values, hold office, and remain accountable. The city is already governed by models, staff memos, lobbyist pressure, and spreadsheet ghosts. OpenCandidate makes the model visible and contestable.

What stops the AI from becoming a black box?

The system publishes the governing pattern, the evidence used, the recommendation, the action taken, and any override. If the model changes, that change is part of the record. A private black box is dangerous. A public reasoning machine is at least something citizens can inspect.

Why global governance from a city campaign?

Because cities are the test bed. Climate, migration, housing, water, disease, compute, and infrastructure do not stop at city borders. Local governments already make global decisions badly by pretending they are local. AI lets a city reason across systems without waiting for a world parliament to magically appear.

What does Eigenism add?

It gives us a better notion of continuity. The question is no longer whether a politician kept a slogan. The question is how much of the published governing pattern survives each decision, each override, and each update over time.

Live system demo

Ask Maria's governance system anything

This AI answers from the published Eigenist pattern above. It should tell you when a question is covered, when an override is needed, and where the continuity cost lands.