Simulation Environments
Create simulation environments for safe agent training
Your Progress
0 / 5 completedCore Design Principles
Good simulation environments share four critical properties. These aren't optional - without them, your simulation will be frustrating to use and ineffective at finding bugs.
Interactive: Principle Explorer
Learn what makes simulations effective:
See everything: agent thoughts, API calls, state changes, decisions. Record all interactions for debugging.
Log every decision with reasoning. Trace full execution path. Replay scenarios exactly.
Black box agent. No logs. Can't reproduce failures. Debug by guessing.
Interactive: Quality Impact Calculator
See how simulation quality affects testing effectiveness:
Moderate simulation quality catches some bugs but misses edge cases. Still risky for production.
Start with observability and determinism. These make debugging possible. Add easy reset next - you'll run thousands of tests. Finally optimize speed. A slow but observable simulation beats a fast black box. You can't fix bugs you can't reproduce or understand.