Build an AI candidate

This is the builder for a public governance pattern. The goal is to publish the candidate's identity in a form an AI can apply, citizens can interrogate, and future decisions can test.

Candidate name

Race

Location

Eigenist governance pattern

Define the identity pattern the AI should preserve. Strong patterns are specific enough to constrain future decisions and broad enough to handle conditions the campaign did not foresee.

Eigenist governance pattern: [One sentence describing the public identity pattern this AI should preserve]

Core value: [What should the governance system optimize for across current people, future people, and affected systems?]

Priorities (in order):
1. [First governance priority: what the AI should protect first]
2. [Second governance priority]
3. [Third governance priority]
4. [Fourth governance priority]
5. [Fifth governance priority]

Connected publics: [Who should count in the model beyond likely voters? Renters, children, future residents, migrants, downstream communities, other nations, nonhuman life, etc.]

Fiscal approach: [How should the system reason about spending, revenue, debt, compute, and public capacity?]

Tradeoffs I accept: [What costs are acceptable if the system preserves the governing pattern?]

Tradeoffs I reject: [What lines should the AI flag as pattern-breaking?]

Model transparency: [What assumptions, data sources, and override rules must stay public?]

Tone: [How should the public-facing AI explain hard decisions?]