PRODUCT SIMULATION · AGENT EVALUATION
Product Simulation for Agent Evaluation: model agent policies, consistency, tool use and adaptation across repeatable situations, compare scenarios, and inspect persistent state and autonomous-agent behavior in Epic Simulation.
Explore product assumptions, user behavior, capacity and release conditions before committing to a real-world decision. For agent evaluation, the model focuses on agent policies, consistency, tool use and adaptation across repeatable situations.
Start with explicit assumptions, change one or more conditions, preserve state history, and compare why trajectories diverge.
Also inspect agent choices, resource changes, constraints, feedback loops and second-order effects.
A simulation is a model of possibilities, not a guarantee or proof of a real-world outcome.
It applies product simulation to agent policies, consistency, tool use and adaptation across repeatable situations.
user-flow bottlenecks, demand and adoption response, capacity or failure conditions, release trade-offs.
No. A simulation explores modeled possibilities under explicit assumptions; it does not prove what will happen in the real world.