🤖 SMS Analyzer — AI Augmentation Context Adapter

The AI Augmentation Context Adapter provides a structural lens for observing how AI‑assisted processes interact with human cognition during an SMS Analyzer session. It exists to preserve interpretability, detect drift, and bound autonomy, not to introduce agency or decision‑making.

This adapter is structural‑only and never surfaces in student or clinician summaries.

Purpose#

The adapter answers one question:

“Is AI augmentation remaining aligned, legible, and bounded within a human‑anchored regime?”

It does not evaluate performance, intelligence, or correctness.

Design Principles#

• Augmentation is graded, not binary
• Alignment is relational, not static
• Drift is measurable, not mystical
• Autonomy must remain interpretable
• Observation precedes delegation

When This Adapter Is Active#

The AI Augmentation Context is included when:

• AI tools assist analysis, synthesis, or pattern recognition
• Students explore AI‑augmented workflows
• Long‑term alignment or drift is a learning objective
• Autonomous or semi‑autonomous forms are discussed conceptually

It is never required for basic SMS operation.

Canonical Adapter Schema (Annotated)#

{
  "aiAugmentationContext": {
    "presence": true,
 
    "role": "Assistive",
    "autonomyPosture": "Bounded",
 
    "resonanceStability": 0.81,
 
    "driftCalibration": {
      "baselineAlignment": "Human‑Anchored",
      "currentDeviation": 0.14,
      "trend": "Stable"
    },
 
    "interpretiveNote": "AI augmentation remains within human‑interpretable regime; no autonomous divergence detected."
  }
}

Field Descriptions#

Presence#

Indicates whether AI augmentation is involved in the session at all.

Role#

Describes how AI participates:

• Assistive
• Advisory
• Delegated
• Emergent

Roles are descriptive, not permissions.

Autonomy Posture#

Defines the structural boundary of action:

• Bounded — constrained, interpretable
• Transitional — shifting responsibility
• Unbounded — not permitted in student use

Only Bounded posture is allowed in the RTT NoS sandbox.

Resonance Stability#

Measures how well AI‑assisted reasoning remains mutually legible with human interpretation.

High resonance does not imply correctness; it implies interpretability.

Drift Calibration#

Tracks alignment over time:

• Baseline alignment anchors intent
• Deviation measures structural distance
• Trend indicates stability or movement

Drift is monitored, not corrected automatically.

Interpretive Note#

Human‑authored context explaining the current posture. This field reinforces that humans remain responsible for interpretation.

What This Adapter Does Not Do#

• Make decisions
• Recommend actions
• Replace judgment
• Act autonomously
• Surface alerts or warnings
• Influence summaries

It exists to protect structure, not to extend capability.

Relationship to Other SMS Components#

• Complements the Regime Context Block
• Informs Measurement Integrity
• Supports LACTOS‑level reasoning (future)
• Aligns with AI Drift Calibration and Resonance Seed concepts

This adapter ensures AI remains inside the frame, not the frame itself.

Learning Outcome#

Students learn that:

• autonomy is a spectrum,
• alignment requires ongoing calibration,
• drift can be observed early,
• and structure must remain legible across substrates.

AI augmentation is treated as a participant in structure, not an authority.

Safety Reminder#

This adapter is for educational observation only.
No autonomous behavior, delegation, or decision‑making is permitted in student scenarios.