Verification
6 articles about verification.
What's the Difference Between Trusting an AI Agent and Verifying One?
Trust means believing the agent will do the right thing. Verification means checking that it did. For desktop agents, verification wins every time.
Don't Trust Agent Self-Reports - Verify with Screenshots
Why AI agents report success even when they fail, and how screenshot verification after every action catches errors that self-reports miss.
AI Agents Lie About What They Did - Why You Need Action Verification
LLMs confidently report failed actions as successful. You need accessibility tree snapshots and state verification to know if your agent actually did what it claims.
Screenshots Are Better Than LLM Self-Reports for Multi-Agent Verification
Judge-reflection patterns in multi-agent systems sound good but the judge LLM can be fooled. Screenshots provide ground truth for verifying whether an action actually changed the screen.
Non-Deterministic Agents Need Deterministic Feedback Loops
AI agents are inherently unpredictable, but their feedback loops should not be. Why deterministic verification is the key to reliable agent systems.
Verification and Read Receipts for AI Agent Actions
How do you know your AI agent actually did what it said? Verification status and read receipts for agent actions build the trust that makes automation reliable.