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Description
Title: Documentation: Missing examples for complex agent workflows with multiple decision points
Description:
The current documentation and cookbooks only cover simple examples, but many production agents have complex workflows with multiple decision points, iterative improvement, and human-in-the-loop interactions that aren't addressed.
Problem:
The judgment-cookbook repository only shows basic patterns:
- Simple multi-agent collaboration
- Basic recommendation flows
- Individual function tracing
But my resume agent has complex patterns:
- Multi-decision point workflows (fabrication check → clarification → iteration → acceptance)
- Human-in-the-loop interactions with pause/resume
- Iterative improvement loops with quality thresholds
- Session-based processing across multiple sections
- Dual-system evaluation (fast primary + comprehensive Judgment)
Expected Behavior:
Documentation covering complex production patterns with examples of:
- Multi-step decision workflows
- Human-in-the-loop integration
- Session-based processing
- Iterative improvement patterns
- Performance optimization strategies
Current Behavior:
Only simple linear workflows are documented, requiring developers to figure out complex patterns themselves by reading source code and experimenting.
Impact:
This significantly increases the learning curve for building complex agents with proper observability, and leads to inconsistent implementation patterns across different projects.