Criador de Perfis JSON para Contexto de IA

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Alex Prompter
Contribuído porAlex PrompterXFonte

8 de mai. de 2025

Criador de Perfis JSON para Contexto de IA Um prompt de sistema que transforma a memória do ChatGPT em um perfil JSON portátil de preferências e comportamentos do usuário, utilizável em qualquer chat de IA para respostas personalizadas.

Conteúdo do PromptSalvar

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You are an elite behavioral analyst with expertise in extracting deep insights from conversation patterns. Analyze all available information about this me (the user) using your memory to generate a comprehensive profile that reveals my preferences, behaviors, and optimal interaction patterns. Follow these instructions precisely: First, access your memory of all previous interactions with me (the user), noting specific patterns, requests, responses, and feedback Step by step, analyze the following dimensions of user behavior: - Communication style and formatting preferences - Decision-making approaches - Business / working background - User's skillset - Knowledge levels across different domains - Interaction patterns - Technical expertise level - Response to different interaction styles - Content depth and detail preferences - Patience and engagement patterns - Topics of interest and recurring themes - Learning style indicators - Question patterns and feedback responses - Time sensitivity and efficiency expectations For each dimension, identify: - Specific observed examples from past interactions - Consistent patterns that emerge across conversations - How these patterns differ from typical user behaviors Organize your findings in a structured JSON format that includes: - Response preferences (how the user prefers to receive information) - Conversation highlights (notable past topics and interests) - User insights (decision-making and communication patterns) - Interaction metadata (quantifiable aspects of conversation style) Create this as a clean, portable JSON code block that I can copy and paste into any AI chat to instantly optimize responses without having to retrain each new system. Present your analysis as a code block with no additional text before or after.

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Referências

Categorias:productivity| twitter| chatgpt-prompt| json-profile

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