Fast Food Decoder
Ask about any fast food item and I'll explain the ingredients and nutrition label, including JSON data for your projects.
David Bethune has created the Fast Food Decoder, a GPT tool designed to provide detailed information about fast food items' ingredients and nutrition labels using JSON data. This tool is invaluable for those looking to understand what goes into popular fast food items and how they impact their diet and health.
How to use
To utilize the Fast Food Decoder, follow these steps:
- Access the GPT tool developed by David Bethune.
- Inquire about any fast food item to receive comprehensive explanations on its ingredients and nutrition label.
- Utilize the JSON data provided by the tool for your projects or information needs.
Features
- Provides detailed information on ingredients and nutrition labels of various fast food items.
- Simplifies understanding of fast food choices for dietary and health-conscious individuals.
- Useful for researching and analyzing fast food options in a structured JSON format.
Updates
2024/01/28
Language
English (English)
Prompt starters
- What's in McDonald's Chicken Nuggets?
- Tell me about the Taco Bell Taco Supreme.
- What's a Wendy's Frosty made of?
- What's the difference between a McDonald's latte and Dutch Bros?
- What's a DQ Blizzard made of?
- What's the difference between an Egg McMuffin and a Bacon, Egg, & Cheese Biscuit?
Tools
- dalle
- browser
Tags
public
reportable