Frameworks.
Public frameworks for AI strategy, leadership, and the discipline of thinking with machines. Free to use. Free to cite. Free to adapt and teach.
Context as Strategy
The durable advantage in an age of borrowed intelligence.
Everyone is about to have the same AI; the edge is the context you bring to it — and context is the one thing you can compound. Context as Strategy turns AI sessions from disposable answers into reusable assets through three moves: Frame → Pressure-test → Compound. Ten approaches, each with a copy-paste prompt move.
Read the full framework →The Four-Frame AI Communication Template
A generative scaffold for writing about any AI topic with accountability, equity, and the public interest in view.
Most AI discourse oscillates between hype and fear. The Four-Frame Template moves it toward accountability. Adapted from the FrameWorks Institute's Framing the Social Implications of AI, this scaffold produces one essay, one carousel, or one keynote segment from any AI topic in ten minutes.
Read the full framework →The Institutional AI Leadership Model
The opportunity in this moment is not technical. The opportunity is organizational.
A framework for the leadership role that almost no organization has hired for yet: the AI translator and orchestrator who aligns leadership, stakeholders, and technical teams through an emotionally intelligent operating layer. Five pillars. Ninety-day deliverables. Built for executive sponsors who keep finding their AI strategy fragmenting at the seams.
Read the full framework →Principles for using these frameworks
- Free to use in your own work — strategy decks, executive briefings, course material, talks.
- Free to cite, with attribution: "Chris Huber Reitz, [Framework Name], chrishuberreitz.com/frameworks/."
- Free to adapt for your context. The frameworks are meant to be living, not laminated.
- If you teach them in a paid setting, no permission needed — but I'd love to hear about it.
- If something doesn't work in your situation, hit reply on the newsletter. The next version is shaped by what readers send back.