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🤖 SMS Analyzer — AI Augmentation Context Adapter

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.

Updated