Getting Loopy: AI Feedback Loops & Model Orchestration

This resource accompanies the OpenExO Pro Weekly session from 14 October 2026, led by Kent Langley.

Getting Loopy is a visual reference that illustrates how AI workflows can operate through continuous feedback, execution and improvement.

The diagram explores the relationship between goals, execution loops, feedback, risk, return on investment (ROI) and key performance indicators (KPIs). It also introduces practical use cases and model orchestration, showing how different AI models can be selected for different tasks.

Members can use this resource alongside the Running Loops skill to better understand how to structure AI workflows, measure performance and build systems that improve through repeated execution.