Phase 6.3: Cross-Agent Comparison Features #21
Description
Build features specifically for comparing performance across different agents.
Comparison Features
- Side-by-side performance analysis
- Agent strength/weakness identification
- Cost analysis (API usage, time)
- Recommendation engine for agent selection
- Leaderboard functionality
Tasks
- Design comparison visualization
- Implement fair testing methodology
- Create agent performance profiles
- Build recommendation algorithm
- Add cost tracking and analysis
- Create public leaderboard system
- Implement result sharing mechanisms
Acceptance Criteria
- Fair comparison across all agents
- Clear visualizations of differences
- Recommendations are data-driven
- Cost analysis is accurate
- Leaderboard encourages community participation
- Results can be easily shared