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Agent Builder by Thesys

Overview / Description

Agent Builder by Thesys allows users to construct AI agents that interact through dynamic user interfaces rather than traditional text-only responses. This shifts the paradigm from conversational text to interactive elements, making AI interactions more engaging and functional. It's ideal for developers, designers, and innovators looking to create more intuitive and visually rich AI experiences, moving beyond basic chatbot interactions. The core feature of Agent Builder by Thesys is its ability to translate AI agent outputs into actionable UI components. Instead of just receiving a text reply, users might see buttons, forms, or visual displays generated directly by the AI. For instance, an AI agent could present a selection of booking options, a customizable product configuration, or a data visualization, all within the chat interface. The platform simplifies linking AI logic to front-end UI elements. Users can develop AI applications where the agent doesn't just tell you the weather, but shows an interactive forecast widget, or presents a form to book a flight based on your query, directly within the conversation flow. Agent Builder by Thesys offers a novel approach to AI interact

Used For

Build AI agents that respond with user interfaces.

Pricing

Pricing not published

Free

Visit the Thesys website for current pricing and API access details.

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Pros & Cons

Pros

• Generates interactive UI components (buttons, forms, widgets) dynamically within AI conversations via the C1 API • Real-time generative UI rendering replaces static text responses with actionable, visual interactions • Reduces engineering effort required to connect AI logic to front-end interface elements • Supports booking flows, product configurators, data visualizations, and other in-chat UI use cases • Frontend infrastructure approach means developers integrate once and get dynamic UI for any agent output

Cons

• Requires integration with Thesys's C1 API — not a standalone visual design tool • Generative UI output quality depends on prompt precision and complexity of the desired component • Relatively new technology — edge cases and unexpected UI generation failures require fallback handling

Questions & Answers

Alternatives

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