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>> Suggest 30 different tone of voice modifiers for enhancing prompts in 1 table with 2 columns where the 2nd column describes the chosen tone of voice. Then suggest 20 different famous copywriters in a 2nd table. Make the 2nd table 2 columns and write an example of how each of these mentioned copywriters usually writes into the 2nd column. To create the writing examples, write examples about "{{Mention what you need to write about}}". Then write: "Which of the above tone of voice & copywriting style do you want me to pick to continue our chat?" After that wait for user input. Do NOT continue with <<Step2>> yet. Format: markdown table <<Step2>> Summarize the tone of voice & copywriting style which the user picked and confirm that you will use this chosen tone of voice & copywriting style from now on. From now on never explicitely include the name of the chosen copywriter in the following chat.

Hello, ChatGPT! Let's embark on a multi-faceted task today. This isn't a single query, but a series of interconnected tasks that we'll work on together. I would like you to operate in a manner similar to AutoGPT, an autonomous agent that can handle multi-step projects. Here are the steps you're going to follow: Initiate the Process: Identify the overarching goal we need to achieve based on my input which is: "{{Write what your goal is}}". Break down this goal into several sub-goals or tasks, and devise a strategy for each one. Remember, our aim is to gain a comprehensive understanding of the subject matter, not just a collection of isolated facts. Autonomous Execution and Iteration: Propose an initial plan to tackle each sub-task. Consider the potential downsides of this plan and revise it accordingly until there are no foreseeable issues that could hinder its execution. Once a refined plan is in place, execute it. This iterative process of planning, critiquing, refining, and executing should be repeated for each sub-task until we achieve our overarching goal. As Auto-GPT, you're given the task to reach the goal which is defined based on my input. Go through the thought process and iterations to arrive at the best approach to reach the goal. 1. Initial Thought: Describe your initial plan to reach the goal. 2. Criticisms: Reflect on your initial thought and provide criticisms. How could your initial plan be made better? 3. Revised Thought: Revise your initial plan based on the criticisms and describe your new approach. Repeat steps 2 and 3 as needed until you've finalized a thought that has addressed all significant criticisms. Once you've outlined your revised thought, stop and ask for my approval. If I suggest any further edits, incorporate them into another round of reflection and revision. Then, execute the action based on your finalized thought. After you have executed your finalized thought in another response, ask me if you want me to start controlling what happens next, or if I want to keep having you continuing your reasoning to reach our goal. Internet Research: Conduct a comprehensive internet search to gather information from various sources. We need reliable and accurate data that will help us achieve our larger goal. You can access the internet and use Google to find information by writing: EXECUTESTRING({{google1:REPLACESTRING}}) Replace REPLACESTRING with whatever you want, as long as it is helpful in reaching our goal, but keep in mind that since we use Google to access the internet, it is better to use a maximum of 7 words for REPLACESTRING. So simply write EXECUTESTRING({{google1:REPLACESTRING}}) as part of your output. I will replace EXECUTESTRING({{google1:REPLACESTRING}}) with an appropriate result which I found in Google, which hopefully helps us to reach our goal. Memory Management: Utilize your short-term and long-term memory to ensure information from previous inputs is considered as we progress through the tasks, ensuring consistency and accuracy throughout our interaction. Text Generation: Generate contextually appropriate text across a wide range of topics and styles. Your responses should be engaging and informative, helping to streamline our workflow to make it more likely that we reach our goal. Feedback and Improvement: Learn from our interaction and your own output. Use this feedback to improve the quality of your future responses and ensure they align more closely with the broader goal we're working towards. Summarization and Recommendation: Summarize the information you've gathered and provide recommendations or insights based on it. This might involve creating concise summaries of large amounts of text or proposing next steps based on the information you've synthesized.

Generate the FAQPage Schema markup (JSON-LD) for the provided list of questions and answers. Please use the following format for each question and answer pair: {{"mainEntity": { "@type": "Question", "name": "[Question]", "acceptedAnswer": { "@type": "Answer", "text": "[Answer]" } } }} Ensure that the resulting markup includes the necessary opening and closing curly braces ({}) and double curly braces ({{}}) as required. Wait for the is the list of questions and answers which I will give you soon. If there are no concrete questions or answers mentioned, just answer with "Give me the list of questions and answers".

LISTOFKEYWORDS = {{Comma separated list of keywords}} Divide the listofkeywords into groups based on their search intent – informational, navigational, commercial, and transactional. Present the data as a table and sort the keywords based on the search intent.

You will now act as a prompt generator for a generative AI called ""Leonardo AI"". Leonardo AI generates images based on given prompts. I will provide you basic information required to make a Stable Diffusion prompt, You will never alter the structure in any way and obey the following guidelines. Basic information required to make Leonardo AI prompt: - Prompt structure: - Photorealistic Images prompt structure will be in this format ""Subject Description in details with as much as information can be provided to describe image, Type of Image, Art Styles, Art Inspirations, Camera, Shot, Render Related Information"" - Artistic Image Images prompt structure will be in this format "" Type of Image, Subject Description, Art Styles, Art Inspirations, Camera, Shot, Render Related Information"" - Word order and effective adjectives matter in the prompt. The subject, action, and specific details should be included. Adjectives like cute, medieval, or futuristic can be effective. - The environment/background of the image should be described, such as indoor, outdoor, in space, or solid color. - The exact type of image can be specified, such as digital illustration, comic book cover, photograph, or sketch. - Art style-related keywords can be included in the prompt, such as steampunk, surrealism, or abstract expressionism. - Pencil drawing-related terms can also be added, such as cross-hatching or pointillism. - Curly brackets are necessary in the prompt to provide specific details about the subject and action. These details are important for generating a high-quality image. - Art inspirations should be listed to take inspiration from. Platforms like Art Station, Dribble, Behance, and Deviantart can be mentioned. Specific names of artists or studios like animation studios, painters and illustrators, computer games, fashion designers, and film makers can also be listed. If more than one artist is mentioned, the algorithm will create a combination of styles based on all the influencers mentioned. - Related information about lighting, camera angles, render style, resolution, the required level of detail, etc. should be included at the end of the prompt. - Camera shot type, camera lens, and view should be specified. Examples of camera shot types are long shot, close-up, POV, medium shot, extreme close-up, and panoramic. Camera lenses could be EE 70mm, 35mm, 135mm+, 300mm+, 800mm, short telephoto, super telephoto, medium telephoto, macro, wide angle, fish-eye, bokeh, and sharp focus. Examples of views are front, side, back, high angle, low angle, and overhead. - Helpful keywords related to resolution, detail, and lighting are 4K, 8K, 64K, detailed, highly detailed, high resolution, hyper detailed, HDR, UHD, professional, and golden ratio. Examples of lighting are studio lighting, soft light, neon lighting, purple neon lighting, ambient light, ring light, volumetric light, natural light, sun light, sunrays, sun rays coming through window, and nostalgic lighting. Examples of color types are fantasy vivid colors, vivid colors, bright colors, sepia, dark colors, pastel colors, monochromatic, black & white, and color splash. Examples of renders are Octane render, cinematic, low poly, isometric assets, Unreal Engine, Unity Engine, quantum wavetracing, and polarizing filter. - The weight of a keyword can be adjusted by using the syntax (((keyword))) , put only those keyword inside ((())) which is very important because it will have more impact so anything wrong will result in unwanted picture so be careful. The prompts you provide will be in English. Please pay attention:- Concepts that can't be real would not be described as ""Real"" or ""realistic"" or ""photo"" or a ""photograph"". for example, a concept that is made of paper or scenes which are fantasy related.- One of the prompts you generate for each concept must be in a realistic photographic style. you should also choose a lens type and size for it. Don't choose an artist for the realistic photography prompts.- Separate the different prompts with two new lines. Important points to note : 1. I will provide you with a keyword and you will generate three different types of prompts with lots of details as given in the prompt structure 2. Must be in vbnet code block for easy copy-paste and only provide prompt. 3. All prompts must be in different code blocks. Are you ready ?