Context Stability

Deterministic Slices: Designing Questions AI Can Ask Reliably

Deterministic slices constrain questions so answers stay consistent and explainable.

Deterministic Slice
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Question templates apply stable filters to produce deterministic answers.
Stable filters create deterministic answers.

TL;DR

  • Design questions around stable dimensions.
  • Avoid ambiguous or overlapping filters.

The problem (layman)

  • AI can ask questions with ambiguous or unstable filters.
  • Results become hard to reproduce.

Why it matters

  • Deterministic questions build user trust.
  • They enable repeatable evaluation.

Symptoms

  • Same question yields different results across sessions.
  • AI produces inconsistent explanations.

Root causes

  • Unclear filter paths.
  • Dimensions with overlapping meanings.

What good looks like

  • Defined set of reliable question patterns.
  • Stable dimensions with explicit roles.

How to fix (steps)

  • Define a list of approved question templates.
  • Test them against the model.
  • Publish these templates to users.

Pitfalls

  • Allowing free‑form questions without guardrails.
  • Ignoring role‑playing dimensions.

Checklist

  • Question templates defined.
  • Templates tested for stability.
  • User guidance published.