Gemini for App Creation
builds a working app from a description of what you want
Turns a written description of a business process into an app. Google: “Gemini for App Creation allows you to build apps by simply describing a business process or idea in natural language.” Google returns a structure to review and edit before the app is created.
Gemini in AppSheet Solutions
reads documents and photos inside an automation and sorts what it finds
Pulls information out of files an app receives, with no person reading them. Google: “With Gemini in AppSheet Solutions, you can use AI in automations to extract information from an image, PDF document, or text; and categorize information.”
Predictive models
app builders train a model on an app’s own records to predict values for new ones
Learns from the records already in an app and predicts values for new ones — Google’s examples are sorting customer feedback into categories, predicting which customers will leave, and estimating what a project will cost. Google: “Predictive models work by using machine learning algorithms to generalize from your historical data.” Google: “Behind the scenes, AppSheet uses Google Cloud's Machine Learning Platform to create predictive models.”
- Where to check the switch
- No switch found — look in your Google settings or ask your administrator
Document parsing
reads invoices, receipts and W-9 forms saved in a Drive folder and pulls out their contents
Reads documents saved in a Google Drive folder and extracts their contents into an app, inside an automation. Google: “Document parsing with AppSheet enables you to extract content from documents using Google’s Document AI solution.” Google lists invoices, receipts and W-9 forms. Google: “If the extraction confidence score falls below the configured threshold, an exception flow is triggered to involve manual review by a human.”
- Where to check the switch
- No switch found — look in your Google settings or ask your administrator