Observability
5 articles about observability.
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.
AI Agent Decision Logging That Nobody Reads - The Audit Trail Gap
Complete audit trails are useless without attention. Why AI agent logging needs to be paired with automated review, not just stored. The gap between recording and reviewing.
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.
How to Monitor What Your AI Agent Is Actually Doing
Tool call logs look clean even when the agent is clicking on elements that do not exist. Screen recording is the missing observability layer for AI agents that interact with desktop and browser UIs.
127 Silent Judgment Calls Your AI Agent Made in 14 Days
Logging every silent decision an AI agent makes reveals 127 judgment calls in 14 days you never saw. Why decision transparency matters for agent trust.