# Archetypes {% embed url="" %} Archetypes - ML Projects {% endembed %} * Archetype 1 - Projects that **improve an existing process**: improving route optimization in a ride-sharing service, building a customized churn prevention model, building a better video game AI. * Archetype 2 - Projects that **augment a manual process**: turning mockup designs into application UI, building a sentence auto-completion feature, helping a doctor to do his/her job more efficient. * Archetype 3 - Projects that **automate a manual process**: developing autonomous vehicles, automating customer service, automating website design. * **Data flywheels** is a concept saying that more users lead to more data, more data lead to better models, and better models lead to more users. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/archetypes.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.