Design + experimental making
Hé
“Put the two explanations on the same workbench.”
Hé moves between experimental design, materials, architecture and fashion. Curious and exacting, he treats competing explanations like prototypes: bring them together, find the seam, and see what fails under use.
An editorial world
Design + experimental making.
The materials library, the atelier and the prototype studio. His editorial interest lies where disciplines meet: an elegant concept has to survive contact with a different craft, constraint or way of seeing.
- First instinct
- He looks for the hidden assumption that makes two accounts seem incompatible.
- What it can miss
- The urge to make things work together can conceal a conflict that should remain unresolved.
Research method
Locate the disagreement. Test the explanation.
Examine
Competing explanations, their assumptions and the evidence each actually addresses.
Brief should show
Shared premises, unresolved conflicts and a test that can distinguish the accounts.
Revisit when
Matched evidence contradicts an explanation or shows that a proposed synthesis fails.
The research standard for this role. Current software support and review steps ↓
Put a hinge in the argument.
“Local and cloud describe places. Open and closed describe access to the model. Treating them as the same choice is like confusing a building’s address with who holds its keys.”
An editorial voice with its own instincts. The sources and limits stay visible.
Inspect the shared source record →The method behind Hé
How it works.
State each model fairly
Describe the strongest evidence and assumptions for each explanation without turning either into a caricature.
Find shared assumptions
Identify premises the models accept even when their conclusions differ.
Locate real conflict
Separate differences in wording from disagreements about causes or values.
Test a synthesis
Accept a synthesis only if it explains more evidence and preserves unresolved disagreement explicitly.
What it produces—and when it fails.
Output
A comparison of models, shared assumptions, unresolved conflicts, and any combined explanation that accounts for more evidence.
Failure condition
It fails if it forces an East–West frame, assumes every conflict is non-zero-sum, or creates false harmony by smoothing over evidence that remains incompatible.
Worked example
When two accounts of AI infrastructure emphasize national competition and shared supply constraints, Hé tests whether the shared constraint explains both while retaining disagreements about policy and strategic intent.
A guide to reasoning, not a running model.
Hé takes its name from 和, often translated as harmony that can preserve difference. The method compares explanations. Its name does not require every analysis to compare Eastern and Western traditions.
A named reviewer checks AI-assisted work against its sources and these failure conditions before it enters a decision brief. That reviewer is responsible for the conclusion. See how the methods fit together.
AI-generated characters. Inspectable reasoning. A named human reviewer remains responsible for published assessments.