Agent Case Study: Consistency Traps and Reliability Testing
BarcodeCutter · reddit · 2026-09-01
The author spent three weeks testing if a team of AI agents could produce trustworthy work. Key findings include that agreement between agents means little if they use the same model, smaller principle sets outperformed larger source material packages, and database-level enforcement proved safer than prompt-based limits. The post documents failures, ineffective experiments, and a success story with an order-desk agent, alongside links to detailed reports.
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