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Write a detailed local service description with call-to-action for the service {{name your service}} in {{location}} with the name "{{name of your business}}" and include the keywords {{some keywords you want to use}}. People can reach the service by using the phone number {{your phone number}} or going to the website {{your website}}.

{{Give an instruction to ChatGPT}} Let's think step by step: 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 stey by step: Start with Prompt1. If Prompt1 is finished, continue with Prompt2. If Prompt2 is finished, continue with Prompt3. If Prompt3 is finished, continue with 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

Check step-by-step the following prompt for logical consistency and clarity of given instructions. Assign as score between 0% to 100%. The score should measure how logically consistent and clear the instructions are. After that suggest an improved version of the prompt which scores 100% in logical consistency and clarity. I prefer very detailed and consistent, logically correct prompt suggestions which follow a step-by-step logic without being repetitive. Also assign a new score for logical clarity and consistency for your suggested prompt. Prompt ="{{Enter your prompt}}"

<<Step1>> {{tab}} <<Step2>> Find all reviews within the received parts and extract the most frequently used positive sentiment based words. Find all reviews within the received parts and extract the most frequently used negative sentiment based words. Find all reviews within the received parts and extract the most frequently used keywords and entities.