I want to use reverse prompt engineering, where you help me create prompts based on tweet threads I give you that would be optimized and ideal for producing similar tweet threads.
can you give me an example of generalized reverse prompt engineering a tweet threads?
Extract the most semantically relevant entities from this {tweet_thread}. Put the entities into a chart, numbering them in the first column, listing them in the second column, and including their salience scores in the third column. tweet_thread= [tweet_thread]
Make a reverse prompt engineer the {tweet_thread}. Give me a single generalized prompt that starts with "Write a tweet thread" that would create a similar tweet thread. The tone and writing style should be included in the prompt. The entities #1-2 should also be mentioned as needing to be included in the output in the prompt. Ignore entities #3-4.
===== copy generated reverse prompt to new ChatGPT chat =====
break it into individual tweets no more than 240 characters and add numbering and an attention grabbing first tweet with emojis