Multi-agent system for news aggregation
“Achieved functional correctness metrics >3.0 pass threshold across IntentResolution, TaskAdherence, ToolCallAccuracy; strong correlation between tool calls and token usage; proof-of-concept for automating campus event workflows”
solo-developer
Why they built it
To automate complex manual campus event processes like resource allocation, conflict-free scheduling, cost estimation, and participant communication burdened on staff.
What worked
AgentGroupChat pattern for multi-agent collaboration; automation of scheduling/budgeting/communication; high functional correctness scores exceeding pass thresholds
What broke or was painful
High token consumption in multi-turn coordination; reliance on engineered prompts limiting flexibility; variable latency in complex tasks; limited testing on synthetic data
The result
Achieved functional correctness metrics >3.0 pass threshold across IntentResolution, TaskAdherence, ToolCallAccuracy; strong correlation between tool calls and token usage; proof-of-concept for automating campus event workflows