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Alibaba Cloud Model Studio:Application types

Last Updated:Jun 24, 2026

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.

Important

Quick selection

  • 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.

  • 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
The LLM autonomously plans task steps based on the prompt.



Precisely controlled by a predefined process
Each step is defined by a preset node, ensuring deterministic logic.



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: