
ALT This image presents "The AI Decision Matrix" from MIT Sloan. It is a chart that categorizes decision complexity into four quadrants, based on ambiguity and risk. The quadrants are: 1. Exploratory: High ambiguity, low risk (Approach: Enable experimentation). 2. Strategic: High ambiguity, high risk (Approach: Co-create with human oversight). 3. Routine: Low ambiguity, low risk (Approach: Automate and monitor). 4. Consequential: Low ambiguity, high risk (Approach: Manage to ensure foresight). At the bottom, decision components, participant designations, and decision approaches are outlined. The chart credit mentions the work of E. Sebastian, P. Wefel, T. Haskamp, and J. vom Brocke.

ALT A flowchart of an agent-driven software factory loop. A new task or issue goes to a triage agent, which routes it four ways: automatable (straight to implementation), needs specs (spec agent, then human spec review, looping back for revisions until approved, then implementation), needs human clarification (human input, then triage again), or park for now. After implementation, agents handle code review and verification. A human then reviews the code and verification output and decides if it's ready to ship. If not, it goes back to code review. If approved, it goes through CI/CD and ships. A monitoring agent then checks for issues: if one is found, a new issue is created and the factory loop starts over; if not, monitoring continues.








































