Signals

Microsoft's multi-agent paper shows why single AI agents break under enterprise pressure. Specialized agents with domain expertise plus central orchestration mirrors how real teams work and solves compliance nightmares.

"Mike Lindell's lawyers managed to combine AI hallucinations with basic professional negligence into one $6,000 lesson for the rest of us."

Legal work fails quietly and expensively, sometimes years later when someone finally reads the contract language that AI generated and a non-lawyer approved.

As of August 21, 2025, major tech players—OpenAI, Meta, and Google—are ramping up efforts to block U.S. states from enacting AI regulations that could…

Companies that can't provide concrete answers are essentially admitting they lack mature safety processes.

Companies throwing AI agents at problems without oversight. 72% adoption, 75% governance concerns. Smart approach: experiment messy, add controls when agents need to coordinate with each other.

Agent commerce conversation heavy on vision, light on working systems. DeWitt's framework offers a practical middle path—not betting on immature technology but positioning for a customer category that will transact at scale.

Privacy isn't about access control anymore when your AI agent can infer, interpret, and act on patterns you never explicitly shared. The real exposure happens in the inference layer—what the AI concludes and synthesizes based on behavioral patterns.