Operator Intent Mapping.

"The gap between human thought and machine execution is where value is lost. OIM bridges this gap through rigorous persona alignment."

# Abstract

Operator Intent Mapping (OIM) is a protocol for aligning Large Language Model (LLM) execution with professional human persona and tactical goals. This RFC specifies the standards for persona injection, intent decomposition, and output alignment in expert-tier AI systems.

# Alignment Protocol

Phase 1: Persona Calibration. Phase 2: Intent Decomposition (Hierarchical). Phase 3: Actionable Node Mapping. Phase 4: Feedback Loop Integration.

# Compliance Standards

OIM-compliant prompts MUST include a defined 'Operator Persona' and SHOULD utilize 'Tactical Constraints' to prevent intent drift.

# Implementation Blueprint

INTENT_MAP.json

{
  "rfc": "003",
  "persona_profile": {
    "role": "TECHNICAL_FOUNDER",
    "authority_tone": "SURGICAL",
    "bias": "DETERMINISTIC_LOGIC"
  },
  "intent_vectors": [
    { "goal": "DATA_SYNTHESIS", "granularity": "HIGH" },
    { "goal": "SYSTEM_AUDIT", "granularity": "CRITICAL" }
  ]
}

Cite OIM Protocol

@techreport{sable2026rfc003,
  author = {Sable, Datta},
  title = {RFC-003: Operator Intent Mapping Protocol v1.4.2},
  institution = {Surgical AI Workspace},
  year = {2026},
  url = {https://dattasable.com/knowledge/rfc/003-intent-mapping}
}