Question 1

What is Agent Builder by Thesys?

Accepted Answer

Agent Builder by Thesys is a no-code platform for configuring, deploying, and sharing AI agents that respond with structured, interactive interfaces instead of just text. It allows users to define agent behavior, connect data sources, integrate tools, and publish agents as applications, embeds, or templates.

Question 2

How is Agent Builder different from traditional chatbot builders?

Accepted Answer

Traditional chatbot builders rely on predefined workflows and scripted flows. Agent Builder enables dynamic reasoning powered by large language models and renders results through Generative UI components like charts, tables, and forms, rather than static text responses.

Question 3

Do I need to write code to build an agent?

Accepted Answer

No. Agent Builder provides a configuration-based interface where users define prompts, constraints, data access, and integrations without writing frontend logic or managing infrastructure. Deployment and execution are handled by the platform.

Question 4

What data sources can agents connect to?

Accepted Answer

Agents can be grounded in uploaded documents, indexed web links, and structured databases such as Postgres or MotherDuck. They can also connect to external systems through Model Context Protocol (MCP) integrations for live and action-oriented workflows.

Question 5

How do agents built with Agent Builder present information?

Accepted Answer

Instead of returning long text outputs, agents generate interactive UI elements at runtime. These can include charts, structured tables, filters, forms, and other components that allow users to explore data and take actions directly.

Question 6

Can agents built with Agent Builder be embedded into existing products?

Accepted Answer

Yes. Agents can be deployed as standalone applications, embedded into existing products using lightweight snippets, or shared as remixable templates. The same configuration supports all deployment modes.

Question 7

Is Agent Builder suitable for production environments?

Accepted Answer

Yes. Agent Builder is designed to reduce operational overhead by centralizing configuration for behavior, data access, tools, and UI output. This allows teams to assemble and ship deployable AI systems without building custom integration layers.

Question 8

What types of use cases can be built with Agent Builder?

Accepted Answer

Common use cases include internal knowledge assistants, analytics agents with live database access, customer-facing tools, embedded AI copilots, and workflow automation agents that require structured outputs and tool integrations.

Agent Builder by Thesys: No-Code AI Agents with Generative UI

Agent Builder by Thesys: No-Code AI Agents with Generative UI

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