The Butler-Barrister
The rise of safe personal agents: personal AI for health, wealth and happiness, built on the “Model of You” Speed […]
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
Rembrandts in the Attic – Your company is sitting on assets it stopped counting. AI just reappraised them.
Speed Read Every company—not just tech—is sitting on invaluable IP and institutional knowledge (patents, archives, manuals, trial data, claims histories)
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
ConceptVines Appoints Brian Feuer, Former McKinsey Global Head of Portfolio Management, to Advisory Board.
ConceptVines Appoints Brian Feuer, Former McKinsey Global Head of Portfolio Management, to Advisory Board Feuer brings two decades of enterprise
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
Filling Empty Cathedrals: Why the $600 billion AI buildout only pays off when the machines go to work, the rapid rise of inference!
Filling Empty Cathedrals Why the $600 billion AI buildout only pays off when the machines go to work, the
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
Systems of Work: The Operating Architecture Enterprise AI Has Been Missing
Enterprise AI has spent the past two years proving that intelligence can be added to almost any task. It can