Graph Engineering: The Next Step After Prompts and Loops
Prompt engineering told AI what to do. Loop engineering kept it working. Graph engineering connects the whole operation.
TL;DR
- Prompt engineering instructs AI, loop engineering enables repetitive tasks, and graph engineering manages the overall workflow and coordination.
- Graph engineering involves defining nodes (agents, scripts, APIs) that perform work and edges that manage data flow, dependencies, and failure routes.
- This system allows for more complex tasks like launches requiring research, copy, code, legal review, and approval by orchestrating multiple agents.
- Key components include state management, gates for decision-making, cycles for error handling, and terminal states for task completion or human intervention.
- Graph engineering aims to create a visible system for coordination, moving beyond the limitations of single-agent loops for complex operations.