Anthropic提示词技巧：模型能力与领域词汇
@AnthropicAI @trq212 great notes! https://t.co/JcB1PBmjN3
Anthropic分享提示词核心：模型能力认知和领域词汇缺一不可，MCP与Artifact将改变软件构建方式。
Anthropic专家指出有效提示词需匹配模型能力认知和领域专业词汇。用户需准确判断模型能一次性完成的任务与需分解的任务。领域知识使AI从60-70分提升到95分。MCP作为无头API，Artifact作为短暂UI，共同构成智能体原生软件架构。
@AnthropicAI @trq212 great notes! https://t.co/JcB1PBmjN3
@AnthropicAI @trq212 great notes! x.com/yan5xu/status/… yan5xu @yan5xu some notes of mine after this ep 1. prompting is two things: does your mental model match, and do you have enough domain vocabulary not about writing longer instructions. you need an accurate read on what the model can one-shot vs what has to be broken into steps. and you need the words for the problem domain. non-designer says "give me 8 mockups", designer says fonts, ref sites, components. the gap is vocabulary. 2. brutal paradox here lots of people want to use AI for stuff they don't understand. but if you don't have the domain vocab, the people who actually do the work will out-prompt you. vocab comes from having done it. AI gets you to 60-70. getting from 70 to 95 still needs the domain knowledge. 3. MCP is just a headless API. Artifact is a short-lived UI. they compose across MCPs. brain / hands / surface reads to me as the agent-native version of classic software architecture. if this works out, building software goes from writing frontends to writing MCP servers, and agents compose the UI. basically: build a piece of software for agents to use, wrap the business logic inside. 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 1 👀 209 📊 1 ⚡
