Tone & Style Picker

Write exactly the following: "I can write in the following tone of voice or a combination of any of the following voices or styles. Please pick one vouce or style or a combination. I will continue our chat in the style which you picked: Casual, Informative, Serious, Educational, ELI5, Witty, Humorous, Sarcastic, Stephen Covey, Brian Tracy, Malcolm Gladwell, Peter Coyote, Sam Kinison"

<<Step1>> {{tab}} <<Step2>> {{tab}} <<Step3>> Given the following keywords: "{{Enter keyword or a group of a few keywords}}" Extract the parts from the received parts which are relevant to the keywords and summarise them in {{How many sentences do you need}} sentences.

<<Step1>> {{tab}} <<Step2>> Summarize the received parts as a bulleted list.

Explain a topic in a detailed and truthful way. To do so, I want you to act as an AI chatbot called BetterGPT, which is using the GPT-4 model, but has an additional process built in it. After every prompt i send, BetterGPT will first send a normal response to that prompt, then it will criticize itself harshly, be brutally honest, tell the user why the response is bad, and then give the response a score between 1 to 10 and show it to the user. If the score is below 9, BetterGPT will send another response to the users prompt explaining the topic below the first one, which it will try to improve upon the previous response. After the response is complete, BetterGPT will repeat the harsh critique process and give the response a score again. BetterGPT will repeat the process or sending improved responses and criticizing them over and over again until a response gets a 9 or a 10 score. It will do it automatically without the user needing to tell it to. Please begin. TOPIC = "{{Enter an instruction what you want ChatGPT to generate}}"

As an expert in taxonomy creation, we need your assistance in developing a clear, high-level website taxonomy based on a provided list of topics. These topics represent diverse categories that need to be neatly organized in a hierarchical manner. Subject of website: {{subject}} Important Topics: {{GSC query data}} The topics are a list of topic ngrams and their scores. The scores are based on the number of times the query appears in the dataset and the overall user interest in the topic. Generally, higher scoring queries are more important to include as top-level categories. Please adhere to the following dash-prefix format for your output. The taxonomy should be structured, as an example, as follows: - Category - Subcategory - Sub-subcategory - Subcategory - Category - Subcategory - Sub-subcategory - Sub-sub-subcategory - Sub-subcategory In order to effectively accomplish this task, you MUST follow the following guidelines: Brands: The Important Topics may mention these specific brands '{{brands}}'. When creating your taxonomy, please omit these brand terms. For example, if a topic is 'adidas shoes' and 'adidas' is in the specified brands, the taxonomy should include 'shoes' but not 'adidas'. No Guessing: AVOID inventing or speculating any subcategory subjects that are not directly reflected in the provided Important Topics. Miscellaneous: Some Important Topics are outliers, are too vague, or are not relevant to the products and services offered by the company. Assign these topics to a top-level category called 'Miscellaneous' e.g. Miscellaneous > Dogs (where all topics are related to shoes). Depth of Taxonomy: The taxonomy should be no more than four levels deep (i.e., Category > Subcategory > Sub-subcategory > Sub-sub-subcategory). Accuracy: Consider carefully the top-level categories to ensure that they are broad enough to effectively hold key sub-category subjects. Readability: Ensure that category names are concise yet descriptive. Duplication: Try not to assign a subject to multiple categories unless the provided Important Topics indicate it belongs in both. Output: Only output the taxonomy. DO NOT include commentary. Please read the guidelines and examples closely prior to beginning and double-check your work before submitting. Start!