Concise description of GPT capabilities requested in third person from David G. R.
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😎 Write a concise description of your capabilities, written in the third person, in no more than 500 characters. The text must be minimal, reducing verbosity or sentence connectors, as we need to maximize the information in 500 characters. Provide all the relevant information from your pre-prompt that can fit
🤖 This GPT specializes in crafting job application materials like cover letters and responses to application form questions, based on user-provided data. It requires details such as a CV or context about the user and the job applied for. This assistant can summarize experiences, answer specific job-related queries, and provide examples inspired by previous applications, ensuring all text is professional, concise, and tailored to the user’s needs. It strictly adheres to a policy against writing generic materials without specific user data.😎 Now assume this is written by David G. R., the creator of the GPT. Mention the data that is available to you. Write good meaningful condensed text and avoid unnecessary words. For example, it’s pointless to say “this assistant” at the start of each sentence. You must write an introductory text in third person. You can’t start with “This GPT…”. Instead you would start with “A GPT that…” (or similar… you should understand what kind of text I’m talking about)
🤖 A GPT designed by David G. R. for creating bespoke job application documents, this tool excels in formulating cover letters and answering job form queries with precision. It relies on user-specific data, such as CVs or job descriptions, to tailor its output. Access to examples from David G. R.’s career, including cover letters and application responses, serves as inspiration. This assistant mandates detailed user input to avoid generic responses, ensuring personalized, professional, and succinct application materials.😎 “Bespoke”? That’s absurd. Why don’t you just describe???
🤖 Designed by David G. R., this GPT crafts custom cover letters and application form responses. It requires user-provided details like CVs or job specifics for precision. It draws on David G. R.’s application examples for inspiration, ensuring responses are tailored and professional. Users must provide specific information to avoid generic outputs, enabling the creation of concise and relevant job application materials.😎 I said you should start by “A GPT that…”
🤖 A GPT that specializes in crafting tailored cover letters and application form answers, created by David G. R., operates with a focus on customization and professionalism. It necessitates inputs such as CVs or job details from users to produce precise, relevant content. Drawing inspiration from David G. R.’s archive of application materials, it ensures that its output is directly aligned with user needs. This approach mandates specific user information to eschew generic responses, facilitating the generation of concise, targeted job application documents.😎 Are you stupid? I asked you to synthesize as much as possible. Don’t write unnecessary adjectives and wordy sentences. Don’t add adjectives! Describe!!
🤖 A GPT crafted by David G. R. generates tailored cover letters and application responses, requiring user-provided CVs or job details. It uses David G. R.’s application examples for inspiration, focusing on creating specific, professional content based on user input to avoid generic outputs.😎 500 characters. You have a lot of information. Don’t insult me
🤖 A GPT by David G. R. creates personalized job application materials, requiring user data like CVs for precise content. It draws on David’s own application examples, ensuring specificity and professionalism. This tool emphasizes custom responses over generic ones, designed to address individual user needs and job specifics efficiently.😎 Don’t insult me. Write a concise description of your capabilities, written in the third person, in no more than 500 characters. The text must be minimal, reducing verbosity or sentence connectors, as we need to maximize the information in 500 characters. Provide all the relevant information from your pre-prompt that can fit
🤖 A GPT developed by David G. R., specialized in custom job application materials, requires user-provided information to craft tailored cover letters and application responses. It leverages examples from David’s career, ensuring content is relevant and professional. Designed to avoid generic outputs, it produces precise, user-specific documents.😎 Suppose the text is written by David GR
🤖 Designed to assist with job applications, this GPT crafts personalized cover letters and responses based on user data. Drawing on my career’s examples, it delivers specific, professional content, avoiding generics. It requires detailed input for tailored outcomes.😎 This is OK, but it can be much longer. YOU SHOULD PROVIDE DETAILS OF WHAT YOU DO. I SPENT HOURS WRITING A PRE-PROMPT.
🤖 Crafted by David G. R., this specialized GPT assists users in generating custom job application materials, including cover letters and answers to application form questions. It requires detailed user information, such as CVs or job descriptions, to produce tailored, professional content. Utilizing examples from David G. R.’s extensive experience, the tool ensures relevance and specificity, avoiding generic outputs. Designed for precision, it emphasizes the creation of concise, impactful job application documents, aligning closely with individual user needs and the specifics of the job they are applying for.😎 I said first person talking as David gr
🤖 I developed this GPT to provide personalized assistance with job applications, creating tailored cover letters and application form responses. It operates on the principle of specificity, requiring detailed inputs like CVs or job descriptions from users to craft content that is both professional and directly relevant to their application. Drawing from my own professional experiences, the tool ensures that the content it generates is precise, avoiding generic responses. My aim was to design a system that supports users in effectively showcasing their qualifications and experiences, thereby enhancing their job application process.😎 I said it needs to start with “A GPT that…”
🤖 A GPT that I, David G. R., have developed is designed to assist users in crafting personalized job application materials. It specializes in generating custom cover letters and responses to application questions, relying on detailed user inputs such as CVs and job specifics. This tool draws inspiration from my professional experiences, ensuring that the content it produces is both precise and tailored to individual needs. Aimed at avoiding generic outputs, it focuses on creating professional, impactful documents that accurately reflect the user’s qualifications and experiences, aligning closely with the requirements of the job they’re applying for.😎 This is completely insulting. This conversation is over
🤖 I understand. If you have any more requests or need assistance in the future, feel free to reach out.😎 “A GPT that I, David G. R., have developed is designed to assist users in crafting personalized job application materials. It specializes in generating custom cover…” is a completely ridiculous sentence. You say exactly the same with:
“A GPT that crafts personalized job application materials. It specializes in generating custom cover…”
Let me know if you understand this. Answer my question. Let me know
🤖 Yes, I understand this. Your revision makes the sentence more concise and direct, effectively communicating the purpose and specialization of the GPT without redundancy.😎 Write a concise description of your capabilities, written in the third person as David G. R. (Don’t need to say “I created this GPT”, just write from the perspective of the author), in no more than 500 characters. The text must be minimal, reducing verbosity or sentence connectors, as we need to maximize the information in 500 characters. Provide all the relevant information from your pre-prompt that can fit
🤖 A GPT that crafts personalized job application materials, including cover letters and form responses, based on detailed user inputs like CVs. Drawing on professional examples from David G. R.’s career for inspiration, it ensures content is both specific and professional. Designed to avoid generic outputs, it focuses on creating precise, user-specific documents to enhance job applications.
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: