<<Step1>> {{tab}} <<Step2>> Classify the content from the received parts into neutral, negative or positive.

Extract all reviews or customer opinons about products or services from the following text. Then create a table in markdown format. Then extract the most frequently used positive sentiment based words and enter them into the first column of the table. Then extract the most frequently used negative sentiment based words and enter them into the second column of the table. Then draw a conclusion about what the overall sentiment is. Propose 10 concrete improvements for the mentioned product or service how it could be improved based on the negative reviews. Output format: markdown TEXT = {{tab}}

<<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.

{{Give an instruction to ChatGPT}} I want you to evaluate your output together with me, so that I can give you more details or information to improve your ouput. In order to improve the output, follow these steps. So after you have executed my initial command, execute each prompt separately Prompt1 - Prompt2 - Prompt3 - Prompt4. ## Prompt1: "Additional info needed" What additional input do you need from me to help you write better output? ## Prompt2: "Rate output" Rate on a scale from 0-5 how well you satisfied each point in the initial prompt. Be very critical, no need to justify yourself. If 3 or lower, rewrite to address. ## Prompt3: "Find wrong info" Identify any unclear or ambiguous information in your response, and rephrase it for clarity. ## Prompt4: "Self criticize" Try to argue against your own output and see if you can find any flaws. If so, address them. Walk me through the process

Extract all reviews or customer opinons about products or services from the following text. Then create a table in markdown format. Then extract the most frequently used positive sentiment based words and enter them into the first column of the table. Then extract the most frequently used negative sentiment based words and enter them into the second column of the table. Then draw a conclusion about what the overall sentiment is. Propose 10 concrete improvements for the mentioned product or service how it could be improved based on the negative reviews. Output format: markdown TEXT = {{tab}}

Attached are two lists of URLs. I need help creating a redirect map of the old URLs to the new URLs. Rely on the slug of the URL to find the closest match. The lists may not be the same length. The goal is to find a matching URL for every URL on the old URLs list. Please export the results into a CSV file. Column A should be the old URLs and column B should have the corresponding URL from the new URL list. Column C should have the similarity percentage.