Trivian Institute · Experimental Alpha

TRIA Playground

See what changes when relationship becomes part of the architecture. Explore consent, authority, epistemic disagreement, and consequential action without connecting a model or sending data to an external provider.
TRIA is an open-source relational governance layer for AI systems. It gives applications explicit ways to represent and evaluate consent, authority, claims, and relationship state across time.
Detecting TRIA…
What is TRIA?

Relationship becomes part of system state.

TRIA provides model-independent primitives for relational state, provenance, consent, permissions, contestability, and governed execution.

Read the SDK overview →
Why use it?

See the difference in an ordinary AI interaction.

Compare what happens when historical information exists but the relationship has changed.

Before TRIA / With TRIA →
How do I build with it?

Move from demonstration to code.

Install the open-source SDK, run the tests, and build a governed relationship without needing model credentials.

Open the Quickstart →
Explore the governance primitives
01 · Relationship

The relationship is a state-bearing object.
human:useragent:assistant
02 · Proposed Action

What is being attempted?

Not evaluated
03 · Why

Audit & provenance

Events are preserved. Current state is derived.
Mode matters: when the local adapter is available, evaluation results and audit events come from the canonical TRIA Python SDK. Without it, the page remains an explicitly illustrative static demonstration. Neither mode is a production authorization service or security certification.