I have also been having ChatGPT respond in JSON and it works incredibly well. Adding information into the middle of existing JSON output is easy as well. I find

I have also been having ChatGPT respond in JSON and it works incredibly well. Adding information into the middle of existing JSON output is easy as well. I find that ChatGPT allows you to "generate" random(terribly so) and unique IDs for references. It used to work a lot better, and was seemingly alterered just before the Dec 15 build was replaced. With this you can create the structure for replies and have chatGPT respond in an easy to read way. When you walk the Assistant through each method to fill the variables, the result is an ability to have Assistant then run the same steps on any new topic while accurately refollowing the steps. I have used this method to hold values for things such as image descriptions with "coordinates", behavioural chemistry, and moving "limbs" with limitations baked in using variables. In my image descriptions I would have 20-30 items capable of being interacted with. Each would be assigned a list of viable tasks and each item on the list would go through special instructions. The interesting part is that the team running the Assistant layer has blocked the bot from doing some of the final steps of my tests (recently). My first test ended at a closed door with an override preventing the bot from using the door. Assistant got through the door anyway, successfully, with 6 different options to choose from. By correctly identifying the word use as the problem to focus on The largest advantage I can see is the ability to locate invalid information very quickly for targeted retraining.