Every pattern, every territory

The library

The territories and patterns mapping how AI agents will engage with public services. Browse the territories, or toggle on the patterns within them.

72 patterns
1 Provenance & Intent Telling where a submission came from, and whether it states a view the sender holds or one an agent generated. A fluent submission no longer proves a person wrote it, yet the agency still has to act on it. 2 Delegation & Authorization Letting a citizen give an AI agent scoped, revocable authority an agency can check is genuine and current. Government's identity systems can prove who a person is, but not what they let an agent do for them. 3 Accountability & Audit Keeping what an AI agent did in a citizen's name visible and answerable, for one case and across a whole population. Mistakes tend to surface only after the damage is done, and one faulty process can repeat on everyone at once. 4 Trust Calibration Helping a citizen judge how far to rely on a government AI agent, and giving the agency a basis to support that judgment. A citizen can wrongly refuse an agent that would help, or lean on one a serious case needs a human for. 5 Rationing & Friction Forms, queues, and deadlines rationed services for years by demanding effort no one designed in. AI agents strip that effort away, forcing a deliberate choice about which friction only excluded people and which actually metered need. 6 Volume vs Breadth Signaling Reading the weight of opinion behind public submissions once agents file fluent, distinct-looking entries at scale. Volume and the look of variety can both be manufactured, so neither shows how widely a view is held. 7 Representation & Equity Keeping every citizen able to reach a government outcome, from a consultation to a benefit, license, or appeal, as private agents come between them and the state. Left alone, outcomes start to track who has the better agent. 8 Verification & Certification Knowing a reliable civic tool from a confident-sounding wrong one, for citizens and the automated tools government runs itself. Building an authoritative-looking tool is nearly free; verifying it and standing behind it is not. 9 Cross-border & Sovereignty What changes when the AI model behind a service runs, or can be legally compelled, outside a citizen's own legal protection. It decides whose data law applies and who can reach the data, often without either side able to tell.