Agent Collaboration

Shinkai Web allows multiple AI agents to work together inside the same workflow.   This feature lets you combine different skills — research, writing, analysis, editing, creativity — into a single automated process.

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What Is Agent Collaboration?

Agent Collaboration means you can choose two or more agents and connect them in a single shared task.   Each agent contributes with its own:

• personality  
• instructions  
• tools  
• workflow role (researcher, writer, editor, reviewer, creator, etc.)

This creates a chain of reasoning and production that a single agent cannot match.

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Why Collaboration Matters

With multiple agents, you can:

• automate multi-step workflows  
• mix different skill sets  
• reduce human intervention  
• improve output quality  
• create reusable pipelines  
• scale your productivity in the browser

Shinkai Web makes collaboration accessible to everyone — no coding needed.

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How to Start a Multi-Agent Workflow

1. Open Agents from the sidebar  
2. Select create agent or choose workflow presets (if available)  
3. Choose to start from scratch or choose a template.
4. Fill in the main fields:

   - Name      - Description      - Instructions

5. Choose which tools the agent can use.
6. Choose which agents you want to collaborate (2, 3 or more)
7. Start the workflow  

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Defining Agent Roles

When setting up collaboration, you can define:

• Primary agent  

  Leads the workflow and produces the final answer.

• Supporting agents  

  Provide info, analysis, content or structure.

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Collaboration Controls

During a multi-agent workflow you can:

• pause the workflow  
• skip an agent  
• regenerate only one agent’s response  
• modify instructions mid-flow  
• add or remove agents  
• restart the workflow with the same setup  

You maintain full control from the browser.

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Tool Usage in Collaboration

Agents in a workflow can use their own tools independently:

• Research agent → web search  
• Creative agent → image generation  
• Video agent → text-to-video  
• Data agent → document parsing  

This makes workflows extremely powerful.

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Tips for Great Collaboration Results

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Keep instructions clear  

Tell the agents exactly what you want each role to do.

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Give context upfront  

Provide files, links, data, or examples.

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Use specialized agents  

Writer + Researcher + Editor always beats a “generalist.”

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Iterate  

You can rerun the pipeline until the output matches your expectations.

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When to Use Agent Collaboration

Use collaboration for:

• content creation pipelines  
• research workflows  
• document analysis + summarization  
• report generation  
• marketing assets  
• long-form content  
• code review / documentation  
• any process requiring multiple expert “roles”

Next Steps Now explore the remaining advanced features:

• x402 Payments on Web-Use credits to run advanced agents and higher-volume tasks.