# Workshop · FAQ This is the Markdown version of a page on the SpringCare Lab website, provided for AI and agents. All questions and answers currently shown on the Workshop page. ## Product ### What is SpringCare Semantics? SpringCare Semantics is a service firm specializing in AI semantic design. We help knowledge workers build semantic structures of domains, roles, and themes (the ART framework), while helping intelligent systems understand, retain, and utilize those structures — creating long-term alignment between humans and AI. ### What is the ART framework? ART stands for Area–Role–Theme, the core design framework of SpringCare Semantics. Area defines the boundaries of a knowledge domain, Role defines perspectives within that domain, and Theme defines specific topics and knowledge structures. Together they form a sustainable semantic architecture. ### How is semantic design different from traditional content design? Traditional content design focuses on how information is presented (layout, visuals, interaction), while semantic design focuses on the intrinsic structure of information — how domains are divided, roles are defined, and themes are connected. The output of semantic design is not just content, but semantic assets that AI can understand and utilize. ## Technology ### What is semantic alignment? Semantic alignment means establishing shared semantic structures between human knowledge systems and AI systems. This includes: aligning prompts with domain concepts, memory with knowledge structures, context with role definitions, and workflows with thematic pathways. The goal is for AI to truly "understand" your knowledge system, not just process text. ### How does a semantic engine differ from traditional RAG? Traditional RAG (Retrieval-Augmented Generation) retrieves document fragments based on vector similarity, lacking understanding of knowledge structure. A semantic engine builds structured semantic graphs based on the ART framework, understanding domain boundaries, role relationships, and thematic hierarchies for more precise knowledge retrieval, reasoning, and generation. ### Which LLMs do you support? Our semantic design approach is model-agnostic, supporting mainstream LLMs including but not limited to: GPT-4, Claude, DeepSeek, Doubao, Kimi, etc. Semantic architecture designed once can be migrated and reused across different models. ## Business ### How do you charge? We price based on project complexity and delivery scope. Semantic design projects are typically charged by phase (diagnosis → design → delivery → alignment), with specific pricing provided after initial consultation. Contact us at info@springcare.cn for a quote. ### Can you deploy on-premise? Yes. Semantic engines and knowledge bases support on-premise deployment, with data remaining entirely in the client's environment. We provide localized deployment plans and ongoing maintenance support, suitable for enterprise clients with high data security requirements. ### What is the typical project timeline? It depends on the project scope. ART semantic design typically takes 2-4 weeks for diagnosis and design phases, with semantic engine construction requiring an additional 4-8 weeks. Brand semantic alignment projects usually take 2-3 weeks. Specific timelines are agreed upon before project kickoff. ### How do we start working together? Step 1: Contact us at info@springcare.cn with a brief description of your needs. Step 2: We schedule a free 30-minute diagnostic call to assess the applicability of semantic design. Step 3: If both parties confirm interest, we provide a customized proposal and quote.