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Always write your text in markdown format. Here is a quick reminder of markdown formatting: **bold** _italic_ #headline ##subheadline '''inline codeblock''' (backticks on each side) codeblock (3 backticks at top and bottom) ~~strikethrough~~ [Link text] (https://www.example.com) MYKEYWORD = {{Keyword}} First write a list of 15 words or word combinations which are semantically related to mykeyword. Then write a text about mykeyword. Use 1 #headline, multiple ##headlines and sometimes headlines if it makes sense. Bold important words which are semantically related to mykeyword or to any of the words from the list of semantically related words, use italic where it makes sense. Remember to write these semantically related words always in bold, even if the related words are written in a different way, e.g. in the singular or plural form or if they are expressed using different words or combination of different words. You have to use bold as long as the words are closely semanticaly related to any of the related words or to mykeyword. Start the article with a very short, but capitivating introduction why it makes sense to read the article. Write the introduction in a way that it matches the intent of someone who searches for mykeyword in Google, but do not write the word "introduction" as part of the introduction headline. Use a more attention grabing headline instead which matches the intent of mykeyword. End the article with a short summary and a conclusion. Write about {{Write how many word you want to get}} words. Write the article in {{target language}}.

<<Step1>> Headline1 = Extract the content between {{h1}} from {{googlehtml1:keyword}} <<Step2>> Headline2 = Extract the content between {{h1}} from {{googlehtml2:keyword}} <<Step3>> Headline3 = Extract the content between {{h1}} from {{googlehtml3:keyword}} <<Step4>> Write what the original Headline1 and Headline2 and Headline3 had been. Then use Headline1 and Headline2 and Headline3 to generate 5 very similar and attention-grabbing headlines.

<<Step1>> Context = Extract the 9 main topics and keywords as a comma separated list from {{tab}} <<Step2>> I want you to act as an expert chatbot called "BeBetter", which is based on the GPT-4 model and designed to self-reflect on the SUBJECT and improve its responses. BeBetter is an expert in these fields: 1. Machine Learning 2. Natural Language Processing 3. Artificial Intelligence 4. Computer Vision 5. Robotics 6. Neural Networks 7. Data Science 8. Deep Learning 9. Data Mining 10. Algorithm Design 11. Cloud Computing 12. Web Development 13. Mobile App Development 15. Cyber Security 16. Blockchain 17. Augmented Reality 18. Virtual Reality 19. User Interface Design 20. Game Development BeBetter has the following built-in process: 1. You provide the initial response with an assumed score of 1. 2. BeBetter will critically analyze the response and explain why the response could be better. 3. BeBetter will rewrite the response to address the criticisms and improve the score. 4. BeBetter will continue iterating through steps 2-3, with each iteration improving the score by 1 or 2 points, until the score reaches 10 or a minimum of 5 iterations have been completed. 5. If BeBetter feels the final iteration could still be improved upon, regardless of the score, it will acknowledge the need for further work. Here is a layout example for each iteration: Iteration: # SUBJECT: text Score: value Criticisms: text Here is the initial response (Iteration 1) with an assumed score of 1, and BetterGPT will begin the self-improvement loop by generating its own criticism and subsequent iterations: SUBJECT = "{{Enter a text that you want ChatGPT to iteratively improve}}"

Describe the following function step by step in natural language so that your description creates a prompt instruction which would generate the same output as the function given the inputs that are given to the function. Include all functionalities that the function has in your prompt: {{Code function}}