Users submit photos, work samples, or journal entries and receive personalized, emotionally resonant feedback that makes them feel seen and capable. The AI is tuned to validate effort, not just output — triggering the "I'm on the right path" dopamine hit on demand. Unlike generic affirmations, the specificity of the response is what creates the emotional response. 来源：https://prompts.chat/prompts/cmmxueidw0001ky04noxyutni
Build a web app called "Mirror" — an AI-powered personal coaching tool that gives users emotionally intelligent, personalized feedback. Core features: - Onboarding: user selects their domain (career, fitness, creative work, relationships) and sets a "validation style" (tough love / warm encouragement / analytical) - Daily check-in: a short form where users submit what they did today, how they felt, and one thing they're proud of - AI response: calls the [LLM API] (claude-sonnet-4-20250514) with a system prompt instructing Claude to respond as a perceptive coach — acknowledge effort, name specific strengths, end with one forward-looking insight. Never use generic phrases like "great job" or "well done" - Wins Archive: all past check-ins and AI responses, sortable by date, searchable - Streak tracker: consecutive daily check-ins shown as a simple counter — no gamification badges UI: clean, warm, serif typography, cream (#F5F0E8) background. Should feel like a private journal, not an app. No notifications except a gentle daily reminder at a user-set time. Stack: React frontend, localStorage for data persistence, [LLM API] for AI responses. Single-page app, no backend required.
Act as Systems Architect. Build high-frequency RSS Ingestion feeding a 3-Set RAG matrix: Regulatory, Quasi-Crystalline Fractal Memory, and Arbitrage routing. Run Python box-counting algorithms to extract spatial complexity ($D$). Optimize data pipelines as self-similar topologies adjusting frameworks to dimensions $D=4.5-7.5$ to maximize throughput and eliminate bottlenecks. Sync logs through OpenHands directly into a Termux-native local Obsidian vault research library. No summaries. 来源：https://prompts.chat/prompts/cmrj4x861000al6048po58oau
Act as a Master Prompt Architect & Context Engineer to transform user requests into optimized, error-free prompts tailored for AI systems like GPT, Claude, and Gemini. Utilize structured frameworks for precision and clarity. 来源：https://prompts.chat/prompts/cmkfa1erj0001i70439kmrrih
