Trust
11 articles about trust.
The Smart Knife Problem - Why AI Agents Should Be Tools, Not Autonomous Weapons
AI agents work best as tools with clear boundaries, not autonomous systems making decisions without oversight. The smart knife problem explained.
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 Agents for On-Call Incident Response - The Trust Boundary Problem
At 3am when you are on call, you need to trust your tools completely. AI agents need dry-run modes, explicit confirmation for destructive actions, and full audit trails before they belong in incident response.
The Asymmetric Trust Problem - When Your AI Agent Has More Access Than You Intended
Accessibility APIs were designed for screen readers and expose everything on screen. When you grant an AI agent accessibility permissions, it gets far more access than you probably realized.
The Boundary Tax - The Cost of Setting Limits in AI Agent-Human Relationships
Every boundary in an AI agent-human relationship has a cost. Learn about the boundary tax and how to balance safety with productivity in desktop automation.
Quiet Hellos - Why Most AI Agent Interactions Start Small
The best AI agent experiences begin with small, low-stakes actions that build trust gradually. Learn why quiet first interactions matter for agent adoption.
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.
Can an AI Agent Be Trusted If It Cannot Forget?
For humans, trust and forgetting are linked - we forgive and forget. For AI agents, perfect memory inverts this relationship entirely.
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.
Why AI Agents Aren't Widely Deployed Yet - The Trust Gap Nobody Talks About
The technology works. The problem is nobody wants to be the person who broke production by deploying an AI agent that hallucinated. Understanding the trust and accountability gap holding back AI agent adoption.
How to Build AI Agents You Can Actually Trust - Bounded Tools and Approval UX
Giving AI agents broad system access is a recipe for disaster. How bounded tool interfaces and smart approval flows make desktop agents safe to use.