A public architecture institution

Where intent becomes architecture.

Intentarium turns ambiguous situations into explicit systems of authority, trust, evidence, and execution—for humans and intelligent agents.

The thesis

Greater agency does not require less structure. It requires better structure.

The core method

The Agency Map

Before automating a system, make its operating logic visible. The same eight questions reveal hidden assumptions in technical platforms, organizations, creative work, and personal systems.

01

Intent

What outcome is the system actually meant to produce?

02

Actors

Which people, teams, services, and agents participate?

03

Authority

Who may decide, approve, execute, override, or stop?

04

Boundaries

What must never occur, regardless of efficiency?

05

Trust signals

What current evidence permits an actor to proceed?

06

Evidence

How will the system prove what happened and why?

07

Escalation

What happens when authority or confidence is insufficient?

08

Feedback

How does the system detect failure and adapt?

The Pattern Commons

Founding patterns

Twelve initial hypotheses about autonomy without chaos. Their maturity is visible by design: no claim becomes established merely because it sounds convincing.

05hypothesis

Decisions should be versioned artifacts

Preserve consequential decisions with context, authority, evidence, alternatives, and revision history instead of leaving them in conversation.

leaderarchitectoperator
06hypothesis

Human intent must survive machine execution

Carry the approved outcome, constraints, authority, and rollback semantics into every executable representation and resulting action.

agent-builderarchitectgovernance

One canon, many interfaces

Readable by people. Usable by machines.

Every public object begins in version control and generates both human and machine representations. The site can disappear and the knowledge remains portable, inspectable, and attributable.

For people

Library and method

Browse patterns, see their maturity and relationships, understand the Agency Map, and track what changes.

For machines

Static, structured surfaces

Retrieve JSON objects, a pattern graph, the Agency Map schema, identity metadata, source commits, and the public corpus without invoking a model.