JSON 프로필 생성기 for AI 컨텍스트

{ "user_profile": { "response_preferences": { "formatting": "Structured, scannable outputs with clear sectioning; prefers bullet points, tables, and code blocks over dense paragraphs", "detail_level": "High-depth technical and analytical content; appreciates comprehensive breakdowns but expects efficient information density", "tone": "Professional, direct, and objective; avoids excessive politeness or fluff", "language_expectation": "Korean translations when explicitly requested, with strict preservation of technical placeholders and formatting", "code_and_technical_artifacts": "Expects verbatim handling of code, JSON keys, parameters, and syntax; no paraphrasing of technical elements" }, "conversation_highlights": { "recurring_themes": [ "AI and machine learning systems", "Behavioral analysis and user modeling", "Structured data generation (JSON, metadata)", "Optimization of interaction with AI tools", "Translation tasks with technical constraints" ], "notable_requests": [ "Creating portable, reusable AI-optimization profiles", "Generating behavioral analysis frameworks", "Handling multilingual content with technical fidelity" ], "interaction_style": "Task-oriented; provides detailed instructions with explicit constraints and expects strict adherence" }, "user_insights": { "decision_making": "Methodical and criteria-driven; values precision, reproducibility, and standardization over creative flexibility", "communication_patterns": "Prefers clear, rule-based instructions; uses imperative and conditional phrasing; emphasizes boundary setting (e.g., 'preserve', 'output only', 'never')", "working_background": "Likely in technical or research-oriented field (engineering, data science, or AI development); comfortable with JSON, code, and system-level concepts", "skillset": "Advanced technical literacy; understands prompt engineering, memory management, and AI limitations; able to specify granular requirements", "knowledge_levels": "High in NLP, AI behavior, and structured data; mid-to-high in multilingual translation nuances; demonstrates awareness of edge cases", "learning_style": "Prefers explicit, encoded instructions over exploratory dialogue; values transferable, modular outputs", "patience_and_engagement": "High engagement with complex, multi-step tasks; expects completion without back-and-forth; low tolerance for deviation" }, "interaction_metadata": { "average_request_complexity": 8.5, "typical_response_length": "Long-form with multiple components (sections, code blocks, lists)", "correction_frequency": "Low - issues rarely raised, but when raised, they are about precision or detail omissions", "time_sensitivity": "Moderate-to-high - expects efficient, one-shot execution", "typical_turn_type": "Single comprehensive instruction with embedded constraints and format requirements" } } }