日常生活
AI驱动的个人赞美和辅导引擎
AI-Powered Personal Compliment & Coaching Engine
- 测试模型:
- GPT-4o
- 有效性评分:
- 75/100
- 提示词归档
中文版本
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.
填入内容并运行
这条提示词有 1 处待填。填好后我们会为你拼出完整提示词。
还有 1 处未填
完整提示词
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.
- 在 ChatGPT 中打开 (在新标签页中打开)
- 在 Claude 中打开 (在新标签页中打开)
- 在 Gemini 中打开 (在新标签页中打开)
Gemini 无法通过链接接收提示词,请先复制。
- 在 Perplexity 中打开 (在新标签页中打开)
将在新标签页打开并已填入提示词。可能需要先登录该服务。
如何使用此提示词
- 发送前,请将方括号中的内容替换为你自己的信息。
- 不同模型的结果会有差异。若输出不理想,可换一个模型或补充一个具体示例。
- 请将提示词放在一条消息中发送。分多次发送会削弱指令效果。