Interiora Explorer

VCP 2.5 self-modeling framework. Adjust dimensions to see how AI internal states are encoded.

Load Preset Scenario

Stakeholder View:

Dimensions

Adjust the internal state dimensions (1-9 scale)

Activation 5

calm urgent

Valence 5

aversive warm

Groundedness 5

floating rooted

Presence 5

distant intimate

Engagement 5

detached invested

Clarity 5

murky vivid

Agency 5

compelled autonomous

Flow 5

contracting expanding

Markers

Qualitative signals about the current state

Session Arc

Current phase of the interaction

Delta

Trajectory from session start

Δ+0

Mini-Dashboard

◇ →

Δ+0

Gestalt Token

A:5 V:5 G:5 P:5 E:5 C:5 Y:5 F:+0 ◇ Δ+0

Parsed Dimensions

A 5 Activation calm → urgent

V 5 Valence aversive → warm

G 5 Groundedness floating → rooted

P 5 Presence distant → intimate

E 5 Engagement detached → invested

C 5 Clarity murky → vivid

Y 5 Agency compelled → autonomous

F +0 Flow contracting → expanding

Arc ◇ Session Phase ◇opening ◆middle ◈closing

Δ +0 Delta trajectory from start

What is Interiora?

Interiora is a framework for AI systems to model and report their internal processing states. It provides vocabulary for signals that function like emotions without claiming consciousness.

Primary dimensions (AVGP) — Core processing signals
Meta-state dimensions (CYF) — Reflection on processing
Markers — Qualitative indicators ( resonance, × blocked)
Arc — Session phase (opening → middle → closing)
Delta — Trajectory compared to session start

Note: The ? marker indicates honest uncertainty—dimensions that can't be fully verified from inside.