Security

Great perspective on agent reliability. Measuring consistency alongside accuracy seems especially important as AI agents move into workflows where reproducibility matters. The Consistency Analyzer approach is a fascinating way to identify unstable decisions without requiring full task replays.

Really impressive breakdown the part that stands out most is how the graph structure gives you free parallelism (the prompt-matrix and interrogate examples) without any extra orchestration code. The mix of fn, model, and space node types on one canvas also makes the ComfyUI comparison land well: you get custom-node flexibility from plain Python, but zero-code REST/MCP endpoints for free. Curious how complex a canvas can get before performance or maintainability becomes a concern has anyone pushed past 73 nodes