Bottleneck
lexical_clarity - replace jargon with common words
Input
Score any text
This demo is a measurement framework, not a trained model. It is the live artifact for partner conversations, not the final micro-LLM claim.
Scoring uses cascade penalties: hard fails below 50, coherence penalty when lexical clarity + code-switching both fail, and syntactic-memory coupling when deep nesting increases memory load.
Result
88
Rewrite Focus
Replace abstract terms with concrete, common alternatives.
Penalties Applied
- No cascade penalties applied.
Comparison
Before / After signal
Clear baseline
88
Partner-safe wording with anchored transitions.
Noisy variant
73
Jargon, clause pressure, and context jumps increase load.
Observed delta
15
The scorer catches the degradation and points to the bottleneck driving it.
Positioning
Three buyer narratives
Validation
Use the score as a quality gate. Show that the framework detects degradation without hand-wavy judgment.
Improvement
Use the bottleneck and failed dimensions to focus edits. The value is actionable diagnosis, not abstract critique.
Audit
Use threshold pass/fail status as an accessibility and governance view. The output is explicit and machine-readable.