This page holds conceptual frameworks I use to think about intelligence, judgment, and decision-making in complex systems.
These are not tools or prescriptions, but ways of organizing attention and reasoning.
Taken together, these frameworks explore the conditions under which reasoning remains coherent or fails when systems are under pressure.
Some frameworks emerge from notes. Others take shape through longer essays or applied work.
All are provisional and subject to revision.
How to use these
- Use them to clarify where reasoning breaks down
- Adapt them rather than applying them literally
- Question their assumptions
- Discard them if they stop being useful
Current frameworks
Coherence under constraint
A lens for examining how time pressure, incentives, uncertainty, and cognitive load affect the internal consistency of human and machine reasoning,
particularly in high-stakes or time-compressed decisions.
Context integrity in intelligent systems
A framework for understanding how loss, distortion, or misalignment of situational context across data, interfaces, or handoffs—leads to confident but brittle outputs.
Cognitive interface design
An approach that treats the structures mediating understanding—inputs, representations, constraints, and cues—as primary design objects shaping how decisions are formed, interpreted, and acted upon.
These frameworks are concerned less with conclusions than with the conditions that shape them.
These frameworks shape attention rather than dictate action; their value lies in what they make visible.
Frameworks are refined over time. Some may be renamed, merged, or retired as understanding evolves.