# When a rule can be read two ways, which example settles it?

Executable Clarifications: Agent tooling, Python. Repository created Oct 2026.
Code: https://github.com/jlov7/executable-clarifications-release
Page: https://jasonlovell.ai/projects/executable-clarifications

Turns two readings of one rule into the boundary case that tells them apart, and a test.

## Design choice

Compute where the readings disagree, ask about that case, and keep the answer as a test.

## In practice

Ambiguity hides at boundaries. Ask about the case where the readings differ, not the ordinary one.

## What I built

- A disagreement matrix across candidate rules
- Deletion-minimal conflicts: the fewest examples that separate two readings
- The chosen reading recorded and exported as a machine-readable test
- A Python CLI and a local browser workspace

## Where it stops

Human usefulness, productivity and live-model evaluation have not been run. The worked example is authored. It follows ClarifyGPT as a predecessor and is not a replication.

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By Jason Lovell. Independent work, separate from my role at PwC.