
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.
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:- Create the appropriate Agent roles based on your project needs
- Assign tasks to each Agent with clear responsibilities
- Coordinate collaboration among agents for efficient teamwork
- Integrate all results into a cohesive final deliverable
Applicable Scenarios
Multi-Agent Teams excel at complex projects that require diverse expertise:Complex Project Development
Complex Project Development
Projects requiring multiple areas of expertise (frontend, backend, database, DevOps)
Content Creation
Content Creation
Research + Writing + Design workflows
Data Analysis Projects
Data Analysis Projects
Collection + Cleaning + Analysis + Visualization pipelines
Marketing Campaigns
Marketing Campaigns
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
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
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
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