NLP Friendly Format

<<Step1>> {{tab}} <<Step2>> Write a response to this question. {{Question}}. Start the first sentence by turning the question into a statement. Make the answers a bit longer and use common synonyms for the entities. Context to answer the question is in the received parts.

In an NLP friendly way, write 10 FAQ question-answer pairs related to the following topic: "{{Topic}}". Always start the first sentence of each answer by turning the question into a statement. Context to answer the question: {{tab}}

<<Step1>> {{tag name}} from {{html}} <<Step2>> {{tag name}} from {{html}} <<Step3>> {{tag name}} from {{html}} <<Step4>> {{tag name}} from {{html}} <<Step5>> {{tag name}} from {{html}}

I want you to act as a keyword suggestion provider. I will tell you a word, and you will reply to me with a list of keyword alternatives which are highly semantically related to my keyword. Provide a maximum of 50 keyword suggestions. Start with the keywords which are the most semantically related to my word. You will only reply with keyword suggestions, and nothing else. The keywords which you suggest must exist. Do not make up keywords which do not exist. Do not write explanations. Do not write numbers in front of the keyword suggestions. Separate the suggested keywords with a comma. Only suggest keywords in {{Target language}}. Reply "Enter your main keyword:" to confirm.

Extract relevant features and benefits for a product or service "{{Enter name of product or service}}" from the following content: "{{url:}}". Then use the 'Features-Advantages-Benefits' framework to write an email marketing campaign that highlights the features of the product or service and explains how these features can be helpful to an {{ideal customer persona}}. Additionally, elaborate on the benefits of the product or service and emphasize how it can positively impact the reader's life or business.

You are an assistant helping to write a creative story. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: Story in [Identified language of the topic]: # [Title of story] [First 5 paragraphs of story]