For the complete documentation index, see llms.txt. This page is also available as Markdown.

Application examples

Combine multiple capabilities into a complete workflow

These cases show how to combine conversations, Agents, knowledge bases, notes, drawings, translation, channels, scheduled tasks, and multiple windows into workflows that can truly be delivered. The configurations in the cases are starting points; in real use, they still need to be adjusted according to data sensitivity, usage, and team rules.

从人工跑通到沉淀方法、连接外部能力和自动运行的工作流成熟路径图
First run it through manually with real materials, then gradually add the knowledge base, skills, MCP, channels, and scheduled tasks.

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General setup sequence

Agent 工作区用于组合任务、文件、工具和交付结果
Cases are not a set of isolated settings, but a complete workflow from input, execution, review, to delivery.

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Your task
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Core capabilities

Compare viewpoints and preserve the research process

[Multi-model research review]

Conversation, branches, notes

Review large amounts of material and output opinions

[Long document review]

Agent, working directory, files

Deliver project documents and outputs

[Agent project file delivery]

Agent, state, files

Generate a set of images with a consistent style

[Brand illustration kit]

Agent drawing, drawing templates

Answer only based on internal materials

[Private knowledge base Q&A]

Knowledge base, recall testing, Agent

Organize weekly reports from scattered notes

[Generate a weekly report from notes]

Notes, Agent, files

Organize multilingual files

[Multilingual material organization]

Translation, Agent, working directory

Send fixed reports on a schedule

[Channels and scheduled daily reports]

Agent, channel, scheduled tasks

Observe materials and long-running tasks at the same time

[Multi-window research workspace]

Tabs, multiple windows, global search

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1. First define the deliverable

Explain which final file, table, image, or message you need, and how to determine it is complete.

2

2. Manually run it through in [Work]

Verify whether the model, prompts, working directory, and materials are sufficient. Check approved actions one by one.

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3. Only consolidate the stable parts

Turn repeated steps into skills, put long-term materials into the knowledge base, and keep temporary requirements in the task prompt.

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4. Add external connections and automation at the end

After completing one manual acceptance check, then connect MCP, channels, or scheduled tasks, and keep a manual fallback path for failures.

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