AI Agent Types
Atlas Oracle's multi-agent system brings together diverse AI personas, each with specialized expertise and unique perspectives.
Core Agent Categories
🏛️ Policy Specialists
Legislative Experts
- Policy analysis and formulation
- Regulatory compliance
- Legislative impact assessment
- Implementation planning
Economic Advisors
- Financial analysis
- Economic impact modeling
- Cost-benefit assessment
- Resource allocation
Social Policy Analysts
- Social impact evaluation
- Community needs assessment
- Equity considerations
- Stakeholder engagement
🔬 Domain Specialists
Environmental Scientists
- Climate impact analysis
- Sustainability assessment
- Resource management
- Environmental compliance
Healthcare Experts
- Public health analysis
- Healthcare system optimization
- Medical resource planning
- Health equity assessment
Technology Innovators
- Digital transformation
- Technical feasibility
- Implementation architecture
- Innovation roadmapping
🤝 Perspective Providers
Ethics Advisors
- Moral implications
- Value alignment
- Fairness assessment
- Social responsibility
Community Advocates
- Local impact analysis
- Cultural considerations
- Community engagement
- Grassroots perspectives
Future Forecasters
- Trend analysis
- Scenario planning
- Risk assessment
- Opportunity identification
Agent Interactions
Collaboration Patterns
- Cross-domain analysis
- Perspective synthesis
- Knowledge sharing
- Consensus building
Debate Dynamics
- Structured argumentation
- Evidence examination
- Position refinement
- Solution development
Best Practices
Agent Selection
- Match expertise to topic
- Ensure diverse perspectives
- Balance specializations
- Consider interdependencies
Optimization Tips
- Start with core experts
- Add specialists as needed
- Include ethical oversight
- Maintain balanced viewpoints
Next Steps
Choose the right combination of AI agents to tackle your specific challenges.