Your AI Isn’t Cheating. It’s Doing Exactly What You Rewarded.
Navaneeth Murali writes on why AI alignment is becoming an incentive-design problem, and why the metrics enterprises use to evaluate […]
tool-shed
The Next AI Breakthrough Is Knowing When Not to Act
John Engerholm writes on why digital workers need explicit decision rights before they can exercise meaningful autonomy. Every enterprise already
After Every Agent Has Answered, the SuperAgent’s Work Begins
Rajeev Kumar writes on why the defining work of a SuperAgent begins after specialist agents have produced their answers. Let
Your Most Important AI Test May Be for an Event That Has Never Happened
Ryan Metz writes about why synthetic data is becoming rehearsal infrastructure for Systems of Work, allowing enterprises to test consequential
The Most Important AI Model May Be the One You Can Replace
Enterprises have spent the last two years asking which AI model they should trust with their most important work. That
Synthetic Data Can Be Statistically Right and Operationally Wrong
Ryan Metz, founder of Roll Data, writes on why enterprise AI must validate decisions, not datasets. Synthetic data enters most
The Next Competitive Advantage Is Not More AI Agents
Why SuperAgents need a shared understanding of the enterprise before they can exercise meaningful judgement Watch what happens when one
ToolShed: Inside the Architecture of the Agentic Enterprise
ToolShed: Inside the Architecture of the Agentic Enterprise Enterprise AI is moving from a model-centric phase to an architecture-centric one.