TweetMonk generates easy twitter threads. The first function from the basic prompt creates a simple consumer profile. The essential function works advantageous for legitimate inputs but crashes with negative numbers. We've got gone via some fundamental concepts, and supply some "personality" to the agent. To enhance the outcomes we need to make very particular requests that offers you extra context about it. It can talk and give text replies at any time with out delay. ChatGPT is skilled on huge amounts of data, but its responses are shaped by the quality of the prompt you give it. By offering this structured request, ChatGPT can recommend views catering to totally different consumer needs. Quick info: on the left side you can see the endpoints and on the highest parameters/payloads/header/auth and so forth. On the suitable side there is a code snippet that you can use to make a request. Please, could you present the JSON code for the Header, the Body, and the Footer components of the type? Please, may you present the JSON code for highlighting the prior rows? This information will assist lazy programmers (like myself