using-simulation-tactics

Routing simulation tactics means analyzing your game requirements—crowd behavior, physics, pathfinding, AI—and selecting the correct core skill to apply. This meta-skill evaluates which of 10 core simulation capabilities fit your goal, sequences them in the optimal order, and orchestrates multi-skill workflows so complex simulations execute correctly.

The router evaluates whether full simulation or approximation best serves your performance and design goals. It determines applicability by assessing your game's scope, performance budget, and realism requirements, then directs you to simulation or optimization tactics accordingly with traceable reasoning.

Use the router to identify which skills apply—physics, economy, ecosystem, crowd behavior, weather, pathfinding—sequence them in the correct order, and enforce dependency logic. The router provides decision logic to combine multiple skills and justification for each step.

Describe your simulation goal to the router. It analyzes your requirement, recommends the relevant core skills from 10 available options, outputs the optimal sequence, and guides you through orchestration. This quick-start workflow eliminates manual routing decisions for common game-design tasks.

Yes. The router supports combining ecosystem, weather, performance optimization, debugging, and other core skills within a single workflow. It enforces correct ordering, handles interdependencies, and provides traceable justification for every routing decision across multiple skill combinations.

The router enforces optimal skill sequence automatically by analyzing task requirements and skill dependencies. It outputs traceable justification for each routing decision, so you can verify the order matches your simulation's logic and constraints.