How to use multiple specialized agents collaboratively in AI Agents Library.
Agent Teams bring together multiple AI agents, each with their own expertise, to collaborate on conversations. Instead of one agent's perspective, you get comprehensive answers from a team of specialists.
Key Benefits:
- Multiple perspectives on complex problems
- Specialized agents contribute their unique strengths
- Coordinated discussion with built-in host
- Richer, more comprehensive solutions
- You ask a question or present a problem
- Host agent determines which team members should respond
- Agents discuss and build on each other's insights
- Host coordinates the conversation flow
- You receive comprehensive, multi-perspective answer
Every team has a host who:
- Decides speaking order
- Keeps discussion organized
- Synthesizes insights
- Asks clarifying questions
- Manages conversation flow
You can:
- Interrupt the host at any time
- Customize host behavior in Advanced Options
- Resume whenever you're ready
- Click "Create Agent Team" in AI Agents Library
- Choose method:
- Use preset template (recommended for beginners)
- Build custom team from your agents
Available Templates:
DeFi Strategy Team
- Portfolio Analyzer
- Yield Optimizer
- Risk Assessor
- Gas Cost Calculator
Content Creation Team
- Writer
- Editor
- SEO Specialist
- Social Media Adapter
Research Team
- Data Gatherer
- Analyst
- Citation Checker
- Summarizer
Problem Solving Team
- Strategy Consultant
- Technical Expert
- Risk Evaluator
- Implementation Planner
Select template → Customize members if needed → Start conversation
- Select 3-5 agents from your workspace
- Assign roles (optional but recommended)
- Configure host behavior
- Set team name
- Save and start
Target specific team members:
@Portfolio-Analyzer what's my current allocation?
Only that agent responds directly.
Click agent's avatar to send direct message:
- Other team members don't see it
- Use for sensitive questions
- Coordinate behind the scenes
Interrupt: Click "Pause" or interrupt naturally
- Team freezes current state
- Conversation pauses mid-discussion
Resume: Click "Continue" or prompt host
- Team picks up where it left off
- Maintains context
Adjust response pacing:
- Fast: Quick exchanges (good for simple queries)
- Medium: Balanced discussion [Default]
- Slow: Thorough deliberation (complex problems)
Team:
- Portfolio Analyzer
- Risk Assessor
- Yield Optimizer
- Rebalancing Advisor
User: "Review my positions and suggest improvements"
Flow:
- Portfolio Analyzer examines holdings
- Risk Assessor evaluates exposure
- Yield Optimizer identifies opportunities
- Rebalancing Advisor suggests changes
- Host synthesizes recommendations
Result: Comprehensive analysis from multiple angles
Team:
- Topic Researcher
- Content Writer
- SEO Specialist
- Distribution Strategist
User: "Plan a content series about DeFi for beginners"
Flow:
- Researcher identifies trending topics
- Writer proposes article structures
- SEO suggests keywords and optimization
- Distribution recommends channels
- Host creates unified strategy
Result: Complete content plan ready to execute
Team:
- Smart Contract Auditor
- Gas Optimizer
- Security Expert
- Best Practices Advisor
User: "Review this contract for issues"
Flow:
- Auditor scans for vulnerabilities
- Gas Optimizer finds efficiency improvements
- Security Expert assesses risks
- Best Practices suggests improvements
- Host prioritizes findings
Result: Thorough code review from multiple dimensions
Optimal: 3-5 agents
- Enough diversity
- Manageable coordination
- Maintains focus
Too few (1-2): Limited perspectives Too many (6+): Coordination overhead, slower responses
Mix expertise types: ✅ Analyst + Strategist + Risk Assessor + Implementer ❌ 4 variations of the same role
Complementary skills:
- Breadth agent + Depth agent
- Creative agent + Analytical agent
- Big picture + Details
Default host works for most cases
Customize when:
- Specific industry knowledge needed
- Particular facilitation style wanted
- Custom decision-making process
Advanced Options → Custom Moderator:
You are a DeFi-focused team coordinator.
Prioritize:
- Risk assessment first
- Security considerations always
- Gas costs in every recommendation
Guide discussion toward:
- Actionable recommendations
- Clear next steps
- Risk-adjusted thinking
Start broad, get specific:
✅ "Analyze our DeFi strategy"
→ Let team discuss
→ Then: "@Risk-Assessor what's our worst-case scenario?"
❌ "Tell me exactly what to do"
→ Too directive
→ Doesn't leverage team dynamics
Use private messages for:
- Clarifying questions
- Sensitive information
- Behind-scenes coordination
Use @ mentions for:
- Direct questions to specific expertise
- Getting second opinions
- Resolving disagreements
Save your custom teams:
- Create and configure team
- Click "Save as Template"
- Name and describe
- Reuse anytime
Share templates:
- Export configuration
- Share with team
- Import on their end
Sequential (Default):
- Agents take turns
- Build on previous responses
- More organized
Parallel (Advanced):
- Agents respond simultaneously
- Faster but potentially chaotic
- Good for independent analyses
Give agents specific responsibilities:
Portfolio Analyzer: "Data collector"
Risk Assessor: "Devil's advocate"
Yield Optimizer: "Opportunity spotter"
Host: "Decision maker"
Roles guide behavior and coordination.
Team: Fundamental Analyst + Technical Analyst + Risk Manager + Market Strategist
Use: Comprehensive investment evaluation
Team: Researcher + Writer + Editor + SEO Specialist
Use: End-to-end content creation
Team: Strategist + Technical Lead + Resource Manager + Risk Assessor
Use: Complete project roadmap
Team: Security Auditor + Performance Optimizer + Best Practices Expert + Documentation Reviewer
Use: Multi-dimensional code assessment
Team: Pros/Cons Analyst + Devil's Advocate + Opportunity Spotter + Risk Evaluator
Use: Balanced decision analysis
Solutions:
- Reduce team size (3 instead of 5)
- Increase Team Speed setting
- Use faster model if available
- Start fresh conversation (clear context)
Solutions:
- Customize host to better coordinate
- Use @ mentions to direct conversation
- Interrupt and redirect
- Ensure agents have complementary (not duplicate) roles
Solutions:
- Add "devil's advocate" agent
- Customize host: "Encourage different perspectives"
- Use agents with different philosophies
- Explicitly ask for counterarguments
Solutions:
- Customize host: "Facilitate, don't dominate"
- Use @ mentions to bypass host
- Adjust host instructions to be more neutral
Solutions:
- Add relevant agent mid-conversation
- @ mention external agent for input
- Note for next time to include in template
- Clear division of labor
- Each agent has specific expertise
- Minimal overlap
- Complementary strengths
- Appropriate size
- 3-5 for most use cases
- Can go to 6-7 for comprehensive analysis
- Avoid 8+ (coordination breaks down)
- Balanced perspectives
- Mix of specialist types
- Include risk/opportunity agents
- Add devil's advocate if needed
- Host instructions
- Specify facilitation style
- Set priority order if needed
- Define success criteria
{
"agents": [
"literature-reviewer",
"methodology-expert",
"data-analyst",
"citation-checker",
"synthesizer"
],
"host": {
"instructions": "Coordinate academic research process. Ensure methodology rigor, proper citations, and clear synthesis. Facilitate from research question → literature review → methodology → analysis → conclusions."
},
"name": "Academic Research Team"
}Create templates for recurring workflows:
- Weekly portfolio review
- Content pipeline
- Code review process
- Strategic planning
Combine team discussion with individual agent queries:
- Get team perspective
- @ mention specific agent for depth
- Use private messages for follow-ups
- Return to team for synthesis
First run: See how team interacts Second run: Adjust roles and host Third run: Optimize team composition Fourth+ run: Fine-tuned workflow
Keep notes on what works:
- Which agent combinations
- Effective host instructions
- Good use cases
- Team dynamics observations
Q: Can I use the same agent twice in a team? A: Technically yes, but not recommended. Use different specialized agents instead.
Q: Do agents see each other's full conversation history? A: Yes, that's how they build on each other's insights.
Q: Can I remove an agent mid-conversation? A: Not currently. Plan team composition before starting.
Q: Does team size affect cost? A: Yes—more agents = more tokens = higher cost. Keep teams lean.
Q: Can teams work on long documents? A: Yes, but monitor context limits. Teams consume more tokens than solo agents.
- Pre-built team templates in marketplace
- Community-shared team configurations
- Team composition best practices guide
- Host customization examples
Agent Teams transform AI from solo performer to collaborative ensemble. Start simple, experiment, refine.