A 95%-accurate AI agent fails 64% of the time on 20-step tasks(kenoticlabs.com)
kenoticlabs.com
A 95%-accurate AI agent fails 64% of the time on 20-step tasks
https://kenoticlabs.com/insights/ai-agent-failure
https://kenoticlabs.com/insights/ai-agent-failure
Real long chain failure is worse than the math predicts, not equal to it. The headline undersells the problem the article actually describes.
Also DTCM's eval is narrative-QA across 250 stories, reading comprehension over accumulated context, not an agent tool use.
The production failure modes it discusses (wrong tool selection, brittle API contracts, etc) don't obviously map to that benchmark. The 96% number is encouraging but not directly translatable