Abstract: Personally-stylized content can be generated without fine tuning a model. A personally-stylized content generation method can include receiving a first request for first content to be stylized in a style of written prose previously produced by a user, applying a previously trained retriever model to the first request to obtain second content previously produced by the user resulting in obtained content, populating a prompt with the obtained content and the first request resulting in an augmented prompt, providing the augmented prompt to a large language model (LLM), receiving personally-stylized content from the LLM, the personally-stylized content including elements of the style of the written prose of the user, and providing the personally-stylized content to the user.