After I finished writing "Heir to the Phoenix", I became the first reader. Self-examination of the reading version interface showed that there were no chapters at first, and the full text was 14,860 words. Later, it was divided into chapters, and hooks between chapters were added. After the full text was completed, an interactive thank you was written.
There is no blank line separating the end of a chapter and the beginning of the next chapter, and the visual layout of the full text needs to be adjusted. (I realize that the Tomato Author Assistant APP is not enough. Download the Tomato Free Novel APP and you can read other people's articles as well as your own works. Reading and creation are interrelated) [Smile]
I am a novice, exploring myself:
Be your own first reader.
Use your reader account to carefully read your book from beginning to end. Go to the last page of each chapter and pause for a minute before reading. Your own reading rate will also be included in the initial data model to give the algorithm a good learning sample.
After I finished writing "Heir to the Phoenix", I became the first reader. Self-examination of the reading version interface showed that there were no chapters at first, and the full text was 14,860 words. Later, it was divided into chapters, and hooks between chapters were added. After the full text was completed, an interactive thank you was written. There is no blank line separating the end of a chapter and the beginning of the next chapter, and the visual layout of the full text needs to be adjusted. (I realize that the Tomato Author Assistant APP is not enough. Download the Tomato Free Novel APP and you can read other people's articles as well as your own works. Reading and creation are interrelated) [Smile] I am a novice, exploring myself: Be your own first reader. Use your reader account to carefully read your book from beginning to end. Go to the last page of each chapter and pause for a minute before reading. Your own reading rate will also be included in the initial data model to give the algorithm a good learning sample.