Skip to main content
Multi-Agent Teams

What is Multi-Agent Team?

In complex projects, a single AI may not handle all aspects perfectly. Multi-Agent Team allows you to create specialized AI agents, each responsible for different tasks:

Researcher

Responsible for searching and organizing information

Designer

Responsible for visual design and creativity

Developer

Responsible for writing and optimizing code

Tester

Responsible for quality inspection and testing

Enable Agent Teams Feature

Agent Teams is currently an experimental feature, and we are continuing to optimize the experience.
Before using Multi-Agent Team, you need to enable this experimental feature:
1

Open Settings

Click on your avatar in the lower left corner and open the Settings page
2

Find Experimental Features

Find the “Experimental” options section
3

Enable Agent Teams

Turn on the “Agent Teams” switch
Once enabled, you can create multi-agent teams in conversations!

How to Use Multi-Agent Teams

Just mention in the conversation that you need teamwork, and Happycapy will automatically create and manage an Agent Team:
I need to build a complete website, including frontend, backend, and database design.
Please assemble a team to complete this project.
Happycapy will automatically:
  1. Create the appropriate Agent roles based on your project needs
  2. Assign tasks to each Agent with clear responsibilities
  3. Coordinate collaboration among agents for efficient teamwork
  4. Integrate all results into a cohesive final deliverable

Applicable Scenarios

Multi-Agent Teams excel at complex projects that require diverse expertise:
Projects requiring multiple areas of expertise (frontend, backend, database, DevOps)
Research + Writing + Design workflows
Collection + Cleaning + Analysis + Visualization pipelines
Planning + Design + Copywriting + Execution workflows

Practical Case: Pomodoro App Development

Execution time: 3-4 minutes | Difficulty: ⭐⭐⭐⭐Before: requirements analysis + UI design + frontend development + testing = a few days of workNow: one conversation, team automatically divides the work, complete application delivered in 4 minutes

Example Prompt

Please assemble a development team to help me build a Pomodoro app:

Product requirements:
- 25-minute work timer (pause/reset supported)
- 5-minute break reminder (sound + visual cue)
- Count completed Pomodoros for today
- Clean and modern UI design (gradients, modern style)
- Responsive layout (mobile and desktop)
- Local storage (data persists after refresh)

Suggested team roles:
1. Product Manager: define feature logic and user flows
2. UI Designer: design UI and interaction plan
3. Frontend Engineer: implement features (HTML/CSS/JavaScript)
4. QA Engineer: verify functional completeness

Please complete this collaboratively and deliver a ready-to-use web app!

What Happens

You will see team members working in parallel:
Product Manager
  • Planning features
  • Defining user flows
  • Setting requirements
UI Designer
  • Creating mockups
  • Designing interactions
  • Choosing colors & styles
Frontend Engineer
  • Writing HTML/CSS/JS
  • Implementing features
  • Setting up local storage
QA Engineer
  • Testing functionality
  • Verifying requirements
  • Reporting issues
The whole process is just like real team collaboration, but several times more efficient - only takes 3-4 minutes!
Shocking point: You will get a complete web application that can be used directly, including complete code, beautiful interface, smooth animation, and reliable functions.

Advanced Features

Flexible Model Selection

Different Agents in the team can use different large models (such as Sonnet, Gemini, Haiku) to allow each agent to perform optimally in their respective areas of expertise.

Automatic Coordination

Agents automatically:
  • Share information between team members
  • Resolve dependencies and blockers
  • Coordinate timing and sequencing
  • Integrate their work into a cohesive whole

Cost Considerations

Multi-agent team collaboration is very efficient, but token consumption will also increase accordingly.If you frequently use team functions, it is recommended to open a Max subscription to enjoy unlimited tokens and focus on creation without worrying about usage.

Tips for Success

Be Specific

Clearly define the project requirements and desired outcomes

Suggest Roles

Recommend team roles based on your project needs

Define Deliverables

Specify what final outputs you expect

Iterate

Review results and ask for refinements if needed

Next Steps

Try Multi-Agent Teams

Enable experimental features and start building with collaborative AI teams