Phase 6.3: Cross-Agent Comparison Features

[jharris1679]

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