The original title is about AI agent review screens showing what wasn't inspected. Let me rewrite this as a punchy headline.

Short summary

AI agent review screens should surface negative evidence — what was not inspected or verified — alongside positive activity. The article proposes evidence cards grouped by decision consequence, named coverage by risk area instead of misleading percentages, and scoped approval that explicitly identifies what is and isn't covered. Trust comes from presenting inspection boundaries clearly, not from hiding uncertainty.

• •Review quality depends on negative evidence, not just activity logs
• •Evidence cards should group by decision consequence and name risk areas explicitly
• •Scoped approval must state what it covers — never imply unavailable evidence passed

Generated with AI, which can make mistakes.