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.
The AI Twilight
Why this era resists every old playbook — and how to move through it.
The disorienting in-between where the old map of work no longer predicts the terrain and the new one isn't drawn yet.
The AI Twilight resolves into three forces that strip your instruments at once:
- Precedent Collapse breaks the map — the past stops predicting.
- Feedback Delay severs the dashboard — the present can't confirm.
- Exponential Fog hides the headlights — the future won't resolve.
Each other framework here is built for these conditions.
Read the full framework →Exponential Work
Stop giving your old job a faster engine.
When AI saves your team a day a week, you can pour it back into the same work — a faster horse — or ask what the work should even be now that the machine can do half of it. Exponential Work is that question, asked on purpose: redesign the work around the leverage you now have, instead of bolting it onto the work you already had. The move is two axes at once — Reinvent the work × Scale past one — held up by responsible cognitive offloading, the "what changes, and for whom?" diagnostic, and the inner operating system.
Read the full framework →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 →You Can't Extract a Company Brain. You Design One.
The company brain is the right outcome. Extraction is the wrong approach.
Every company is about to need a brain — and the standard blueprint (pull knowledge into a store, put retrieval on top) guarantees it fails in three nameable places: the 80% that matters is tacit, retrieval returns contradictions, and nobody owns keeping it true. The reframe: a company brain isn't a database you fill, it's an intelligence you design. That discipline is Organizational Intelligence Design.
Read the full essay →Calibrated Authority
Trust is upstream — the organizational layer of human–AI decision-making.
The science of human–AI decision-making has spent two decades on the dyad: one person, one model output, rely or override. But by the time the recommendation hits the screen, the consequential decisions have already been made upstream — who is even allowed to rely on this model, for which decisions, accountable to whom. Calibrated Authority names that organizational twin of appropriate reliance, and argues it's where trust calibration actually lives.
Read the full essay →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.