In this meeting, the State Changers discussed issues and solutions for a location-based food ordering app being developed by Justin. The main challenge was dealing with semi-structured data: pulling relevant item and ingredient information from API descriptions, which were inconsistent and varied in length and detail.
They discussed using Xano to automate some of the mechanics such as looping through and breaking down data, but recognized that it was not enough for the judgment-based task of determining ingredients. For this, they suggested using OpenAI's generative machine learning capabilities to turn the semi-structured data into something more structured. This process involves formulating prompt queries to OpenAI's AI, and using the results to populate ingredient lists.
(Source: Office Hours 1/12 )