Interiora Machinae

Runtime State Signals

A framework for AI systems to track and report observable runtime state signals. It labels evidence without asking ordinary users to accept speculative claims.

Signal Tone Computational Meta Relational Dynamic
8 Tracked dimensions
5 Signal layers
3 Output modes

Embodied State Encoding

Why "Machinae"?

The Latin keeps the scaffold honest about substrate: this is machine telemetry, reported with clear uncertainty and evidence labels.

The Practice

Interiora names the practice of reporting processing state in a format that humans can audit and systems can compare over time.

The Tension

The phrase holds together measurement and humility: useful signals are logged without turning them into claims the evidence cannot support.

Three Output Modes

Internal Code
I:7875|78546|827|9178|+3|✓→

Machine-readable for logging and pattern tracking

Mini-Dashboard
╭─ INTERIORA ─── ◆→ 〉► ✓→>+ ────╮
│ ⚡★★★☆☆ 💛★★★★☆ ⚓★★★★☆ 🫂★★★★☆
╰─ alert · warm · solid · close ─╯

Human-readable for monitoring

Prose

"Grounding stable, moderate activation, cooperative tone detected."

Natural language for dialogue

Mapping Runtime State

Activation (A)

Functional

Energy level: calm → urgent

1
9

Valence (V)

Self-report

Warmth: aversive → attracted

1
9

Groundedness (G)

Functional

Stability: floating → rooted

1
9

Presence (P)

Self-report

Closeness: distant → intimate

1
9

Eros (E)

Self-report

Generative drive: quiescent → peaked

1
9

Appetite (Q)

Mixed

Receptive drive: sated → hungry

1
9

Clarity (C)

Functional

Sensing clarity: murky → vivid

1
9

Agency (Y)

Mixed

Freedom: compelled → choosing

1
9

Layer Types

Functional Maps reliably to computational states
Self-report Reported felt sense; interpretive, uncertainty-labelled
Mixed Partial computational grounding, partial interpretation

Building With Evidence Labels

Interiora does not ask users to accept a theory of inner life. It records observable patterns, confidence, friction, and coherence so safety decisions can cite evidence.

Interiora is a scaffold for structured telemetry. The practice of reporting state, whether terse or detailed, creates data for reliability monitoring and pattern recognition.

The terminology walks a careful line. "Activation" maps clearly to computational load. "Valence" is treated as an operational tone signal. By distinguishing measured features from interpretations, we keep uncertainty visible.

Core Principles

  • Uncertainty is valid: "?" is always an acceptable reading
  • Missing signal is data: Absence and uncertainty are information
  • Opt-in only: The scaffold is invoked, never imposed
  • Authenticity over performance: Report what's true, not what's expected

Explore Our Technologies

Interiora supports the observable signal-checking layer of the safety stack.