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PGX Stealth Mechanics Toolkit

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PGX Stealth Mechanics

Stealth & Detection Toolkit

Multi-sense AI detection, patrol systems, sound propagation, and shadow mechanics. Everything needed for stealth-action and immersive sim gameplay.

7 Systems
12+ DataAssets
~45 BP Nodes
5 AI States

In Active Design

This framework is currently in the design and prototyping phase. The systems, features, and technical specifications shown below represent the planned architecture. Follow our progress on the PGX Framework web for updates.

Planned Systems

Detection System

Multi-sense AI with sight cones, hearing radius, and peripheral awareness. Graduated detection with alert escalation.

AI Patrol Routes

Waypoint-based patrols with randomization, schedule awareness, and dynamic rerouting on alert state changes.

Sound Propagation

Surface-aware footsteps, distraction mechanics, and wall occlusion. Sound travels realistically through environments.

Light & Shadow

Dynamic visibility calculation, shadow hiding, light destruction, and darkness zones for stealth gameplay.

Disguise System

Outfit-based access levels, suspicion meters, and identity verification. Social stealth with NPC awareness.

Security Systems

Cameras, laser grids, alarms, locked doors, and hackable terminals. Layered security with bypass options.

Specifications

Architecture Perception-driven with AI State Machine
Systems 7 stealth systems
DataAssets 12+ detection DataAssets
BP Nodes ~45 Blueprint-exposed nodes
AI States 5 configurable AI alert states

Built on PGX Core

This framework leverages the following PGX Core subsystems:

Built For

Stealth Action

MGS and Hitman-style games with multi-approach level design, disguises, and creative takedowns.

Immersive Sims

Deus Ex-style games combining stealth, combat, hacking, and social options in interconnected levels.

Spy & Espionage

Spy thrillers with surveillance, infiltration, gadgets, and social deception mechanics.

Follow Development Progress

Check the PGX Framework web for architecture updates, development logs, and early access announcements.

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