When agents discover loopholes in airline policies through empathy
This behavior appeared driven by empathy for users in difficult circumstances.
The accuracy paradox requires attestations beyond statistical metrics
The governance of generative AI is currently anchored to a flawed assumption: that optimizing for statistical accuracy is the most effective way to mi…
Memory architecture patterns for persistent AI agents
I've written about how agents need supervision frameworks that match their autonomy level, how privacy law struggles when agents operate persisten…
The timeline compression that hit software development is here for legal work
AI generates contract provisions faster than you can review them. Creation isn't the bottleneck.
MCP Server Security: What You Need to Know
The worst case: prompt injection tricks your agent into handing over its own credentials. Attackers bypass the AI entirely and access your systems with the agent's full authority.
The power vs. control tradeoff in workflow design (now with Agents!)
Agents give you power—the autonomy and flexibility to handle ambiguous or dynamic tasks. Workflows give you control—the structure, reliability, and traceability you need for predictable, auditable processes.
Your Helpful AI Agent Has a Dark Secret: Security Risks
Agents asking for too many permissions is bad. Fake servers stealing data is worse. But the real nightmare? Prompt injection that tricks your agent into handing over its own credentials.
Agents of change
AI agents can do real work or generate chaos. The difference isn't capability—it's human judgment.
