Prompt #001 — Dry Decontamination Decision Matrix for Field Commanders

CBRN decontamination training exercise - DVIDS Public Domain
CBRN Tactical TACTICAL PROMPTS SERIES ๐Ÿ‡ฐ๐Ÿ‡ท KR
CBRN Tactical Prompt #001

Dry Decontamination Decision Matrix — AI Prompt for Field Commanders

A ready-to-deploy AI prompt template that transforms CBRN decontamination method selection from experience-dependent intuition into a structured, repeatable decision process. Built on NATO ATP-3.8.1 doctrine and validated against real-world operational variables.

By Park Moojin | Tactical Prompt Engineer | March 13, 2026 | 12 min read

Why CBRN Decontamination Needs AI Decision Support

When a CBRN incident occurs, field commanders face a cascade of decisions under extreme time pressure. The most critical among them: which decontamination method to deploy. The wrong choice doesn’t just waste resources — it can spread contamination, damage sensitive equipment, or create secondary hazards that endanger the force. Current doctrine (NATO ATP-3.8.1 Volume I) provides comprehensive guidance, but translating doctrine into real-time decisions requires processing multiple variables simultaneously: contaminant type, ambient temperature, water availability, equipment sensitivity, casualty volume, mission timeline, and environmental constraints. This is precisely where AI excels — and where “Tactical Prompt Engineering” creates a decisive advantage. A well-structured prompt transforms an LLM into a decision-support tool that can synthesize these variables in seconds, presenting commanders with a ranked recommendation matrix rather than forcing them to manually cross-reference tables under stress.
WHAT IS A TACTICAL PROMPT?
A tactical prompt is a domain-specific, pre-engineered AI input template designed for military decision-making contexts. Unlike generic prompts, tactical prompts embed doctrinal knowledge, operational constraints, and structured output formats — enabling commanders and staff officers to extract actionable intelligence from AI systems without prompt engineering expertise.

The Dry vs. Wet Decontamination Decision Matrix

Before deploying the AI prompt, commanders need to understand the fundamental trade-offs. The following matrix summarizes the key operational variables that drive method selection, drawn from published research and NATO standards:

Operational Variable Comparison

Variable Dry Decon Wet Decon Hybrid
Setup Time ~5 sec ~90 sec ~60 sec
Water Required None High (300+ L/hr) Moderate
Chemical Agents (liquid) Effective Highly Effective Optimal
Biological Agents (particulate) Limited Effective Recommended
Radiological (particulate) Limited Effective Recommended
Sub-zero Operations Optimal Degraded Feasible
Sensitive Equipment Safe Risk of Damage Selective
Mass Casualty (50+ pax) First-line Follow-up Sequential
Effluent/Runoff Control No runoff Containment required Reduced

Sources: NATO ATP-3.8.1 Vol I; Hazmat Resource Inc.; PubMed (2025) Scoping Review on Dry Decon Effectiveness

Tactical Decision Flowchart

[CBRN INCIDENT DETECTED] │ ▼ Contaminant Type? ──── Chemical (liquid) ──── → DRY first, then assess for WET follow-up │ ├── Biological (particulate) ───────────────── → WET primary, DRY pre-treatment only │ └── Radiological (particulate) ─────────────── → WET primary, DRY pre-treatment only Environmental Override? │ ├── Temp < 0°C ────────────────────────────── → DRY mandatory (freeze risk) ├── No water source within 2km ─────────────── → DRY mandatory (logistics) ├── Sensitive electronics/optics ────────────── → DRY mandatory (equipment protection) └── Mass casualty > 50 pax ─────────────────── → DRY triage first → WET definitive [EXECUTE SELECTED PROTOCOL PER ATP-3.8.1]

Copy-Ready AI Prompt: Decontamination Method Selector

The following prompt is engineered for use with Claude, GPT-4, or equivalent LLMs. It embeds doctrinal logic, forces structured output, and includes safety constraints. Replace the [VARIABLE] fields with your operational parameters.
CBRN-TP-001 — DRY DECON DECISION MATRIX v1.0
# CBRN TACTICAL PROMPT — Decontamination Method Decision Support # Version: 1.0 | Author: Park Moojin | cbrntactical.com # Classification: UNCLASSIFIED — For training and planning purposes only ## ROLE ASSIGNMENT You are a CBRN defense operations advisor with expertise in NATO ATP-3.8.1 decontamination doctrine. Your task is to recommend the optimal decontamination method based on the operational variables provided below. ## OPERATIONAL VARIABLES (Input by Commander) [CONTAMINANT_TYPE]: Chemical / Biological / Radiological / Nuclear / Unknown [CONTAMINANT_FORM]: Liquid / Particulate / Vapor / Aerosol / Unknown [AGENT_PERSISTENCE]: Persistent / Non-persistent / Unknown [AMBIENT_TEMP_C]: Current temperature in Celsius [WATER_AVAILABLE]: Yes (unlimited) / Yes (limited, est. liters) / No [WATER_DISTANCE_KM]: Distance to nearest water source in km [PERSONNEL_COUNT]: Number of personnel requiring decontamination [CASUALTY_COUNT]: Number of casualties requiring decontamination [EQUIPMENT_TYPE]: Standard field / Electronics-heavy / Optics / Vehicles / Mixed [MISSION_TIMELINE]: Immediate (<15min) / Urgent (<1hr) / Deliberate (<4hr) / Planned [TERRAIN]: Urban / Open field / Desert / Arctic / Jungle / Maritime [RUNOFF_CONSTRAINT]: Near water source / Populated area / No constraint [AVAILABLE_DECON_ASSETS]: List available decon kits, stations, chemicals ## DECISION LOGIC CONSTRAINTS Apply the following hard rules before generating recommendations: 1. IF ambient_temp < 0°C → EXCLUDE wet decontamination as primary method 2. IF water_available = No AND water_distance > 2km → MANDATE dry decontamination 3. IF equipment_type contains Electronics OR Optics → PREFER dry for equipment 4. IF contaminant_form = Particulate → WET decontamination is more effective 5. IF personnel_count > 50 → Recommend DRY triage first, WET definitive second 6. IF mission_timeline = Immediate → PREFER fastest setup method (DRY = ~5sec) 7. IF runoff_constraint = Near water source → MANDATE effluent containment plan 8. ALWAYS recommend HYBRID (dry first, wet follow-up) when both are feasible ## REQUIRED OUTPUT FORMAT Respond with the following structured format: ### 1. SITUATION ASSESSMENT – Summarize the key risk factors in 3-4 bullet points ### 2. PRIMARY RECOMMENDATION – Method: [DRY / WET / HYBRID] – Confidence: [HIGH / MEDIUM / LOW] – Rationale: 2-3 sentences referencing the decision logic ### 3. EXECUTION SEQUENCE – Step-by-step decontamination sequence (numbered list) – Include estimated time per phase ### 4. EQUIPMENT DECON PROTOCOL – Separate recommendation for equipment if different from personnel ### 5. RISK FACTORS & MITIGATIONS – Top 3 risks of the recommended method – Mitigation action for each ### 6. ALTERNATIVE IF CONDITIONS CHANGE – What triggers a switch to the alternative method? – Decision point criteria ## SAFETY CONSTRAINTS – Do NOT provide information on agent synthesis, weaponization, or offensive use – All recommendations must align with defense and protection objectives only – Reference NATO/allied doctrine standards where applicable – Flag any variable combination that suggests immediate evacuation over decon

Quick Decision Configurator

Select your operational parameters below to generate a rapid decontamination method recommendation. This client-side tool applies the same decision logic embedded in the prompt template.
AI DECISION MATRIX OUTPUT

How to Deploy This Prompt in Operations

Step 1: Pre-load Into Your AI System

Copy the full prompt template above. In your AI system (whether GenAI.mil, a local LLM, or a commercial API), paste it as a system prompt or conversation starter. The role assignment and decision logic constraints ensure consistent behavior across sessions.

Step 2: Input Operational Variables

Replace each [VARIABLE] with real-time field data. In a time-critical situation, even partial data is valuable — the prompt is designed to handle “Unknown” inputs by defaulting to the most conservative (safest) recommendation.

Step 3: Validate Against Commander’s Judgment

The AI output is decision support, not decision replacement. The field commander retains full authority. Use the AI recommendation as one input among intelligence reports, unit status, and tactical judgment.
CRITICAL SAFETY NOTE
This prompt template is designed exclusively for defensive and protective CBRN operations. It does not contain, reference, or enable any offensive CBRN capabilities. All doctrinal references are drawn from publicly available NATO standards. Users must comply with their nation’s classification and operational security requirements when inputting real-world operational data into any AI system.

Why “Dry First” Is the Future of CBRN Decontamination

The defense community has historically defaulted to wet decontamination as the gold standard. However, a growing body of evidence — including a 2025 scoping review published in Disaster Medicine and Public Health Preparedness — suggests that dry decontamination deserves a far more prominent role in operational doctrine, particularly as a first-line response in mass casualty scenarios. The operational math is compelling: dry decontamination achieves initial hazard reduction in approximately 5 seconds per individual, compared to 90 seconds for wet methods. In a mass casualty event with 200+ affected personnel, this time differential translates directly into lives saved and mission continuity preserved. This is precisely why UAM KoreaTech’s CBRN-CADS (Close Air Decontamination Support) technology focuses on high-temperature dry decontamination delivery via unmanned aerial platforms — eliminating the water logistics chain entirely while maintaining decontamination effectiveness against liquid chemical agents.
Park Moojin

Park Moojin

CEO, UAM KoreaTech | Tactical Prompt Engineer Military History & Psychology

Architect of CBRN-CADS — an unmanned aerial decontamination system combining high-temperature dry decontamination with autonomous flight. First-author inventor of 21 intellectual property assets (domestic patents, international PCT filings, technology transfers, and trademarks) in airborne gas sterilization and CBRN decontamination. Bridging defense technology and AI to create decision tools that save lives in contaminated environments.

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