A systematic framework for designing, executing, and refining deterministic and probabilistic workflows.
Neighborhood 7 (connected system of information) — around workflow:
- Workflow Architecture: Designing Processes That Scale With Understanding
- Workflow Composition: Building Clear, Adaptable Systems of Work
- Workflow Refinement: Improving Processes Through Observation and Iteration
- Orchestration: Coordinating People, Processes, Tools, and Information
- Human-in-the-Loop Systems: Designing Automation Around Human Judgment
- Automation Boundaries: Designing Responsible Transitions Between Human Judgment and Automation
Context & Operational State
- State Management: Maintaining Continuity Across Modern Workflows
- Context Persistence: Preserving Information Across AI Workflows
- Context Assembly: Building the Working Context for Better Understanding
- Graduated Context Assembly and Context Depth
- Documentation Practices for Long-Term Maintainability
Integration & Tool Execution
- Connectors: Linking AI Workflows to External Systems
- Tool Selection in AI Workflows: Choosing the Right Capability for Each Task
- Retrieval-Augmented Workflows: Bringing Relevant Context Into AI-Assisted Work
Iterative Loop & Telemetry