This demonstration uses a machine learning model template from MonkeyLearn.com called "Summary Extractor" https://app.monkeylearn.com/main/extr... to take long form text and outputs a shorter version of the text that maintains its meaning.

The demo uses a FileMaker app to store the long form value and sends it to the machine learning model via the model's supported API.

The model returns the summary in JSON, which is parsed and then stored in FileMaker.

Then, a #ClarisConnect flow is shown that uses a Mail Parser (https://app.mailparser.io) connector trigger to receive an email with long form text, parse out the body of the email and sends it to the FileMaker app to summarize.

Then the rest of the flow takes the summary information and returns it back to the original email sender.

Thanks Heidi Porter for turning me on to MonkeyLearn.