This disproportionality of the user's minimal input prompt and the resulting high-quality long-form output in the form of a full episode is a key factor for positive disconfirmation. We are used to watching episodes passively and the timespan between input and 'end of scene/episode' discourages immediate judgment by the user and as a result reduces their desire to 'retry'.

Amplification effects can help mitigate what we consider an undesired 'slot machine' effect which we'll briefly touch on later. The simulation has to be sufficiently complex and non-deterministic to favor a positive disconfirmation. Moreover, by allowing them to exert behavioral control over agents, observe their actions and engage in interactive conversations, the user's expectations and intentions are formed which we then funnel into a simple prompt to kick off the generation process. An IP-based simulation provides a clear, well known context to the user which allows them to judge the generated story more easily. By using a multi-agent simulation as part of the process it's possible to make use of data points such as a character's history, their goals and emotions, simulation events and localities to generate scenes and image assets more coherently and consistently aligned with the IP story world.

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