UnrealPilotSeptember 12, 202612 min read

Procedural Level Generation with UnrealPilot AI

Describe environments in plain English. UnrealPilot generates procedural systems that scatter props, create patterns, and build entire levels from your specifications.

Why Procedural Generation Matters

Hand-placing every asset in a large game world is impractical. Procedural generation lets you define rules, and the engine fills in the details. Forests grow from seed points. Cities follow street patterns. Dungeons connect rooms based on templates. The result is vast, varied content without placing millions of actors by hand.

But setting up procedural systems in Unreal Engine requires significant technical knowledge. You need to understand the Procedural Content Generation (PCG) framework, spawn mechanics, collision avoidance, and performance optimization. UnrealPilot bridges that gap—you describe what you want, and it builds the system.

Natural Language Prop Scattering

The most common procedural task is scattering props across terrain. Trees in forests, rocks on mountains, debris in destroyed areas. UnrealPilot makes this conversational:

"Scatter pine trees across the landscape with higher density near water and lower density at higher elevations"

UnrealPilot generates a PCG graph that:

  • Samples points across your landscape
  • Queries water proximity and elevation
  • Adjusts density based on your rules
  • Spawns tree meshes with random scale and rotation
  • Avoids overlapping with existing actors

You can iterate naturally:

"Add some dead trees mixed in, about 10% of total"
"Increase the density by 50%"
"Add undergrowth beneath the trees—bushes and ferns"

Each prompt modifies the existing generation system. No manual node editing required.

Pattern-Based Spawning

Not all procedural content is random. Many scenarios need structured patterns. UnrealPilot understands common layout types:

Grid Patterns

"Create a 10x10 grid of market stalls with 300 unit spacing, randomly rotate each stall"

Perfect for orchards, parking lots, urban grids, or any regularly spaced content. UnrealPilot generates the spawning logic with the exact dimensions you specify.

Path Following

"Place streetlights along the spline path every 500 units, alternating sides"

Spline-based generation is essential for roads, rivers, fences, and corridors. UnrealPilot creates actors that follow your splines with proper spacing and orientation.

Radial Patterns

"Arrange 12 columns in a circle with 800 unit radius around the temple center"

Temples, arenas, ritual sites—radial patterns create imposing architecture. UnrealPilot calculates positions and rotates each element to face the center (or away, if you specify).

Cluster Distribution

"Create clusters of 5-10 asteroids, with 20 clusters scattered across the volume"

Natural formations often cluster. Rocks in groups, trees in groves, enemies in squads. UnrealPilot generates parent points, then spawns children around each.

Building Procedural Rooms

Roguelikes and procedural dungeons need room generation. UnrealPilot can create modular room systems from scratch:

"Create a procedural dungeon room generator that connects rooms with doorways. Rooms should be rectangular, 800-2000 units per side, with walls, floor, and ceiling meshes."

UnrealPilot generates:

  • Room generation with random dimensions
  • Wall placement along room boundaries
  • Doorway detection between adjacent rooms
  • Floor and ceiling spawning
  • Connection validation to ensure traversable layouts

You can add rules incrementally:

"Add torches on walls every 400 units"
"Spawn a treasure chest in each room with 30% probability"
"The first room should always spawn the player start"

Environment Decoration

Environments need detail layers—ground cover, debris, decals. UnrealPilot understands composition:

"Add forest floor decoration: fallen leaves, small rocks, mushrooms, and broken branches. Denser near tree bases."

It creates multiple scatter passes with different props, each weighted appropriately. The result is natural-looking variation without manual placement.

For urban environments:

"Scatter urban debris in the destroyed zone: broken concrete, rebar, glass shards, and burnt paper. Add graffiti decals to intact walls."

UnrealPilot handles the mesh scattering and decal projection differently, applying the right technique for each element.

Biome Generation

Large open worlds have multiple biomes. UnrealPilot can set up biome-aware generation:

"Create a biome system with forest, desert, and snow regions. Each region should spawn appropriate vegetation and have matching ground materials."

The generated system:

  • Defines biome boundaries (manual painting or noise-based)
  • Associates prop sets with each biome
  • Handles biome transitions with blending
  • Applies landscape material layers per biome

Add detail:

"In the forest biome, spawn deer that wander between trees"
"Desert biome should have occasional cacti clusters and tumbleweed spawns"

Runtime Procedural Generation

Not all procedural content is built in the editor. Some games generate content at runtime—roguelikes, survival games, infinite runners. UnrealPilot creates runtime-safe generation:

"Create a runtime dungeon generator that creates a new floor layout each time the player descends. Use pooled room actors for performance."

The generated code includes:

  • Actor pooling to avoid spawn/destroy overhead
  • Seed-based generation for reproducibility
  • Async loading for room meshes
  • Progressive generation to avoid frame spikes

PCG Framework Integration

Unreal Engine 5's Procedural Content Generation framework is powerful but complex. UnrealPilot generates PCG graphs from descriptions:

"Create a PCG graph that scatters rocks on landscape surfaces, avoiding slopes greater than 30 degrees, with collision detection against existing actors"

The generated PCG graph includes:

  • Landscape sampling node
  • Slope filter with 30-degree threshold
  • Collision check against world geometry
  • Static mesh spawner with your rock assets
  • Proper execution flow and connections

You can refine the graph:

"Add a noise node to vary the density, and exclude spawning within 200 units of any road spline"

UnrealPilot modifies the existing graph, adding the noise multiplier and spline exclusion zones.

Foliage System Setup

Unreal's Foliage system provides optimized vegetation rendering. UnrealPilot configures it from natural language:

"Set up a foliage system for grass painting with 3 grass varieties, wind animation, and LOD at 2000 units"

It creates:

  • Foliage types for each grass variety
  • Correct density and scale settings
  • Wind material configuration
  • LOD settings at your specified distance
  • Collision settings appropriate for grass

Procedural Mesh Generation

Beyond scattering existing meshes, UnrealPilot can generate procedural meshes at runtime:

"Create a procedural cave generator that builds mesh geometry from a noise-based density field. Include stalactites and stalagmites."

UnrealPilot generates:

  • Noise sampling for cave shape
  • Marching cubes mesh generation
  • UV mapping for cave materials
  • Formation detection for stalactite placement
  • Collision mesh generation

Spawning NPCs and Enemies

Procedural generation isn't just environmental. UnrealPilot handles AI placement:

"Spawn enemy patrol groups of 3-5 soldiers near waypoint actors tagged 'EnemySpawn'. Groups should maintain formation when spawned."

The generated system:

  • Finds all actors with the specified tag
  • Determines group size randomly
  • Calculates formation positions (triangle, line, etc.)
  • Spawns AI with patrol behavior starting at those positions
  • Handles respawning if configured

Level Streaming Integration

Procedural content often needs to stream for large worlds:

"Set up the forest generation to work with world partition. Each grid cell should generate its portion of the forest independently."

UnrealPilot configures:

  • World Partition grid alignment
  • Per-cell generation bounds
  • Seed derivation from cell coordinates (for consistency)
  • Boundary handling to avoid seams between cells

Debugging and Iteration

Procedural systems need debugging. UnrealPilot adds visualization:

"Add debug visualization showing spawn points before meshes are placed, color-coded by spawn category"

You can quickly identify issues—why are trees spawning in water? Why is that area empty? Visual debugging makes iteration fast.

Performance Optimization

Procedural content can tank performance. UnrealPilot builds in optimization:

"Optimize the forest generation: use hierarchical instanced meshes, add distance-based culling, and implement LOD groups"

It refactors the generation to use:

  • Hierarchical Instanced Static Meshes (HISM)
  • Cull distance settings per mesh type
  • LOD configurations for large forests
  • Occlusion culling hints

Real Example: Procedural Village

Let's build a complete procedural village system:

"Create a procedural medieval village generator. Place buildings along roads, add a central market square, scatter villager NPCs during daytime, and add ambient details like carts, barrels, and chickens."

UnrealPilot generates a complete system:

  • Road network generation or input
  • Building placement along roads with setbacks
  • Central square detection and market stall placement
  • NPC spawning with time-of-day awareness
  • Detail prop scattering for ambiance
  • Variation settings for building types and sizes

Each element is a separate system you can modify independently:

"Make buildings larger near the center and smaller at the edges"
"Add a blacksmith shop that always spawns near the market"

From Description to World

Procedural generation traditionally requires deep technical knowledge. UnrealPilot makes it accessible. Describe what you want your world to contain, and it builds the systems to generate it.

Whether you need simple prop scattering or complex runtime dungeon generation, natural language lets you focus on design intent rather than implementation details.

Request beta access and start generating procedural content with AI →