Artificial intelligence replay testing reconstructs an earlier execution from recorded prompts, tools, inputs, events and state. Teams can rerun the same case with a different model, prompt version or runtime component and compare the resulting behavior.
A meaningful replay needs reproducible inputs and clear handling for nondeterministic models and external tools. Even when exact output cannot be reproduced, replay can show whether a change preserves task outcomes, validation rules and causal workflow structure.