The 'Generative Engine' is a tool from RunwayML that serves as an automatic storyteller synthesizing images from text inputs.

This AI-powered tool employs the AttnGAN model, which is known to generate relevant image data based on the words or sentences it processes, thus providing a visual narrative for the textual content.

This engine has an extensive application, particularly in areas that require immediate visual representation of written content, facilitating easier understanding of context or story.

As part of the RunwayML offering, the 'Generative Engine' enriches the creative aspect of AI by producing image data corresponding to the text, thereby offering a seamless interaction between text and images.

User simply writes new words or sentences and the engine dynamically generates synthetic images which corresponds to the input.

Although this description focuses on the tool's storytelling capabilities, it doesn't limit the potential profiles of its users, as the tool could be beneficial to a wide range of users, from content creators to educators.

This experiment uses the AttnGAN model, which was created by Tao Xu et al, and falls under the MIT License, Copyright 2018.

Please note, for further insight, additional experiments and wider applications of RunwayML, one can refer to related resources and experiments available on the official RunwayML website.