Information Architecture for Intelligent Agents

Every resource should explain itself. What it is, what supports it, what may happen next, and who has authority.

Whether published by a person, generated by an agent, or changed by an application, IA² keeps identity, relationships, evidence, constraints, and possible actions explicit and inspectable.

Question Can we approve Northstar Cloud? Conditional approval

The contract promises notice within 72 hours. Internal policy requires 24.

Vendor review example

When an agent says “conditional,” follow every edge.

A security review is more than text to summarize. It contains requirements, claims, evidence, policy constraints, a decision, and an authority boundary.

IA² keeps those concerns distinct and connected in the same interface a person uses. The result can be inspected locally by ordinary software, without a detached duplicate graph.

The review graph exposes its runtime decision state, provenance links, and validation contract.

Open the vendor security review Inspect the requirements, evidence, policy gap, decision, and validation contract.

A shared layer, not a new silo.

Documents, interfaces, APIs, and agent tools contribute different capabilities. These layers connect them without collapsing data, presentation, and execution into one mechanism.

Use the substrate. Inspect the proof.

The web should not make every agent start from text.

IA² explores a web where meaning, evidence, constraints, decisions, and possible actions travel with the information itself. Any agent can inspect that context, people can see where it came from, and no single platform has to own the shared understanding.

Follow the work on GitHub