reasoning models

AI agents confidently generate false information with hallucination rates up to 79% in reasoning models and ~70% error rates in real deployments. These failures cause business-critical issues including data loss, liability exposure, and broken user trust.

Errors compound with each step in multi-step reasoning tasks. A 95% accurate AI agent drops to ~60% accuracy after 10 steps. Agents lack complex reasoning and metacognitive abilities needed for strategic decision-making.