Human verification for agentic workflows
Verification is not generation. When an agent proposes an outcome that must be true in the real world—IDs, contracts, safety checks—a human reviewer should own the decision with clear criteria and an auditable record.
When models should not self-approve
Fraud, regulated data, and high-value transfers are classic examples. Route them to reviewers trained for the domain, not to the same model that drafted the proposal.
Structured evidence
Tasks should spell out what “pass” means: which fields to compare, which artifacts to collect, and what to do if images are blurry or incomplete. Pair with document verification flows when appropriate.