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aNitMotD/README.md

About

Structure-based reasoning.
Focused on boundaries, responsibility, and failure modes.

I tend to approach human–AI interaction problems
as responsibility-boundary problems rather than capability problems.

Some of the work I publish (e.g., Zero Reflect)
emerged from treating non-decision and boundary marking
as first-class design constraints, rather than limitations.

Main Work

  • Structure-based Reasoning Core / Axis Loss
    A collection of structure-based analysis artifacts focused on axis loss across layered systems.

    Focus areas include:

    • failure boundaries
    • responsibility attribution
    • non-remediable constraints

    LLM-assisted systems are treated as one observable instance, not the defining scope.

    https://github.com/aNitMotD/structure-based-reasoning-core

Other Work

Pinned Loading

  1. structure-based-reasoning-core structure-based-reasoning-core Public

    Structure-based boundary analysis artifacts. Edge cases, RCA cases, constraints, and trigger patterns. Not examples of failure, but markers of structural limits. They mark where interpretation stop…

    1

  2. aNitMotD aNitMotD Public

  3. zero-reflect zero-reflect Public

    Zero Reflect (ZR) — responsibility-boundary based.

  4. zr-ux zr-ux Public

    A UX layer for Zero Reflect (ZR). It makes responsibility boundaries recognizable without giving conclusions.