I had a system that looked ready.
One AI model designed the architecture.
Another implemented it.
Additional models reviewed the output, checked the logic, and produced validation documents.
Synthetic legal cases passed several internal checks.
Three AI Reviews Passed. One Real Legal Case Broke the System.
I built a human-directed, no-code multi-model workflow with Google Drive. Synthetic tests passed. A real legal case exposed critical failures.
TL;DRAI
A multi-model AI system passed synthetic legal-document tests but failed on real data, misattributing claims and monetary values. Production AI requires real-world validation—inter-model consensus is insufficient to catch critical failure modes before deployment.
2,103 words~10 min read
