Insights
Original research and perspectives on AI readiness, organizational capacity building, and responsible implementation in education and enterprise.
Stanford studied the 51 enterprise AI deployments that actually worked. The technology question is largely settled. The labor question is the one nobody is answering yet, and the report doesn't quite name it. A RUDI review with the bifurcation thesis underneath the data.
Read Article →At four commencements this spring, graduates booed speakers who praised AI. The takes called it ingratitude. It's actually the rational response to graduating into a labor market that is restructuring the first ten years of their career before they enter it while a stranger on stage calls it progress.
Read Article →Hundreds of tools now share a common protocol. These seven workflows each target a specific moment where work stops moving because a person has to copy something from one tool into another.
Read Article →A people leader's operating model for rolling out AI to a team. Which platforms to choose, what data goes where, and how to measure team competency before you deploy. The 3Cs, the account tier hierarchy, and the CRAFT prompt framework.
Read Article →Every tech tool that achieved mass adoption in education had a one-sentence purpose. AI doesn't. Here's what that means for institutions, and why the investment model needs to change.
Read Article →RUDI's complete prompt engineering guide. CRAFT framework, 7 levers that improve output, and ready-to-use templates.
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