Thesys Operational

Thesys is designed for development teams building AI-native products, with a focus on bridging the gap between chat-based responses and real-world actions. Its core product, C1, uses generative UI to have the model create an appropriate interface based on the current question and context, rather than returning only a block of text.

This approach is suitable for combining information display, comparison, data entry, and subsequent actions in a single workflow. It can be used in AI assistants, Copilots, knowledge-base Q&A, data analysis, and business automation products.

C1 provides a Generative UI API that can generate charts, forms, cards, lists, tables, slides, reports, and other content at runtime. The product also offers an OpenAI-compatible API for easy integration with existing model-calling workflows, along with a React SDK for rendering interfaces.

For users who do not want to start with code, Agent Builder can be used to create AI agents and deploy them as standalone applications or embed them in websites. Developers can also use the API and SDK for deeper product integrations.

SaaS and software product teams can embed AI Copilots into business workflows, allowing users to view charts, fill out forms, or process structured results directly. Data analysis and operations teams can use it to present business data, reports, and performance metrics.

Startups and independent developers can use Agent Builder to validate AI product prototypes. Operations, sales, and customer support teams can use it to build structured intelligent assistants, knowledge-base Q&A, and automated service interfaces.

Thesys is best suited to AI applications that require dynamic presentation and interactive actions; it is not a traditional static page design tool. When using runtime-generated interfaces, developers still need to verify that model outputs comply with business rules and test how results are presented for different questions.

If a product already has a mature frontend architecture, it may be best to first evaluate integration through the OpenAI-compatible API and React SDK. When quickly validating an idea, Agent Builder can be a good starting point. The final choice should also consider the team's development capabilities, interface customization requirements, and deployment workflow.