I Built a Self-Hosted AI Incident Diagnosis Tool That Only Returns a Root Cause When Multiple Diagnoses Agree

This innovative AI tool, Argus, challenges the norm by requiring multiple independent diagnostic algorithms to agree on a root cause before it confidently provides an answer. Unlike many other tools that might offer a diagnosis even with weak evidence, Argus aims for accuracy by only returning a diagnosis when five different analyses converge. This approach not only promises more reliable incident diagnoses but also sets a higher standard for AI tool accuracy, emphasizing trust and precision over flashy complexity.