Multi-Mode Adversarial Pipeline
Three execution modes: Rapid (~79s), Full Analysis (~3 min), and Theater (5-pass iterative deepening). Each cycle builds on previous outputs through sequential adversarial refinement.
OPFOR Cognitive Engine
Models the adversary as a probability distribution across doctrinal, adaptive, and opportunistic behaviors, not a single predictable reaction.
OPFOR Attack Inversion
The system switches perspective and generates 3 independent enemy offensive plans — how the adversary would attack YOU from their positions, blind to your intentions. These are not reactions to your plan. They are the enemy's best ideas.
Collision Detection & Hardening
Automatically identifies where your plan and the enemy's plan collide in space and time. Critical collisions receive minimal hardening patches — specific fixes that protect the COA without rewriting it.
Blue-Red-Blue-Red Adversarial Loop
COAs are attacked by a reactive Red Team, then adapted. Separately, independent enemy attack plans are generated blind. Collisions between both sides are detected and patched. Plans that reach the commander have survived two layers of adversarial testing.
Theater Mode
5-pass iterative deepening. Each pass confronts Blue plans against independent Red responses, then refines. Not one-shot generation — adversarial evolution across multiple rounds of strategic refinement.
COA Synthesis
Builds an optimal hybrid plan by combining the strongest phases from all generated COAs. Only proposed when it genuinely outperforms individual options.
Explainable Judge
Weighted criteria scoring with evidence citations, stability analysis, fragility assessment, and commander recommendation. Every verdict is auditable.
Doctrine Compliance
Every COA scored against FM 3-90, ATP 5-0.1, JP 3-0 through doctrine RAG retrieval. Non-compliant elements flagged with specific references.
Commander Style Profiles
Same scenario, different philosophy. Aggressive, cautious, deception-first, doctrine-pure. The system adapts its planning to the commander's intent.
Decision Point Forecasting
Pre-identifies critical moments where the commander must decide, with pre-calculated options and consequences for each branch.
Interactive Tactical Map
Leaflet-based tactical map with DEM elevation data, drag-and-drop units, terrain analysis, and glass-morphism HUD interface. Draggable floating panels, gauge ring score dashboards, unit flyout cards with threat assessment and engagement ranges.
Continuous Self-Improvement
The system generates training scenarios autonomously and learns from its own best outputs. Each generation of models outperforms the last.
Movement Order Routing
Terrain-aware A* pathfinding with 6 route profiles — shortest, covered, direct, defilade, MSR, and mixed. Per-unit route customization with exposure scoring and strategy presets.
Monte Carlo Simulation
1,000-iteration stochastic modeling with success rate distributions, minimax regret analysis, and sensitivity assessment. Quantified confidence intervals for every COA.
