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TweetMonk generates simple twitter threads. The primary operate from the fundamental prompt creates a easy consumer profile. The essential operate works high quality for legitimate inputs but crashes with detrimental numbers. We've gone by some basic ideas, and supply some "character" to the agent. To enhance the results we must make very particular requests that will give you extra context about it. It may well speak and give textual content replies at any time with out delay. ChatGPT is skilled on vast amounts of data, however its responses are formed by the quality of the prompt you give it. By providing this structured request, ChatGPT can suggest views catering to completely different user wants. Quick information: on the left facet you may see the endpoints and on the highest parameters/payloads/header/auth and so on. On the appropriate side there's a code snippet that you need to use to make a request. Please, may you present the JSON code for the Header, the Body, and the Footer elements of the kind? Please, might you present the JSON code for highlighting the prior rows? This guide will assist lazy programmers (like myself