Large language models have limitations in processing private knowledge, accessing real-time information, following fixed procedures, and planning complex tasks. To overcome these challenges, Model Studio provides two application types: agent applications, workflow applications. By integrating capabilities such as knowledge base retrieval, external tool calls, and memory, Model Studio lets you build AI applications that solve business problems.
Quick selection
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Agent application:
- Driven by prompts, these applications autonomously understand user intent, make decisions, and call external tools such as knowledge bases and MCP services to complete tasks.
- Best for open-ended conversational applications, such as customer support, knowledge Q&A, task assistance, and travel planning.
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Workflow application:
- These applications use visual node orchestration to chain multi-step, complex tasks into a stable, controllable, and repeatable execution path.
- Suitable for automating fixed processes, such as generating reports, processing orders, managing multi-step approval flows, and labeling data.
Application comparison
Dimension | Agent | Workflow |
|---|---|---|
Typical use cases | Customer support, knowledge Q&A, task assistance, and travel planning | Automated report generation, order processing, multi-step approval flows, and data labeling |
Development approach | Natural language configuration (no-code) | Visual node orchestration (low-code) |
Process determinism | Autonomous AI decision-making and dynamic planning | Precisely controlled by a predefined process |
Best for | Business users, product managers, and operations personnel | IT operations personnel, business analysts, and implementation consultants |
Skill requirements | Low | Medium |
Get started
You can create an application in the console:
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Agent application
- To create and configure, see: Agent application.
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Workflow application
- To create and configure, see: Workflow application.