Our AI helps to detect entities and create stories out of text, referencing the original text.
storywise begins with analyzing the input text. It applies machine learning techniques to identify various entities and personas in the document. These entities could be software features, user actions, and more. The personas could be the different users or roles involved.
The second step involves user interaction. Here, the user verifies the identified entities and personas, and instructs the system about the synonyms of different terms. This helps in refining the subsequent stages of story creation.
In this step, the user reviews the sentences of the original text that weren't used in the story generation process. The user can either assign stories to these sentences or choose to ignore them. This ensures that every part of the input text is considered and no valuable information is missed.
Finally, the system presents the user with a preview of the generated user stories. The user can review these and accept them if they meet the requirements. This stage marks the successful transformation of an input text into structured user stories.
For small projects, storywise will always remain free.