| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 51 | | tagDensity | 0.275 | | leniency | 0.549 | | rawRatio | 0.071 | | effectiveRatio | 0.039 | |
| 78.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1843 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "very" | | 3 | "carefully" | | 4 | "really" | | 5 | "softly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 43.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1843 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "glinting" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "scanning" | | 4 | "raced" | | 5 | "shimmered" | | 6 | "silk" | | 7 | "maw" | | 8 | "whisper" | | 9 | "glint" | | 10 | "trembled" | | 11 | "stomach" | | 12 | "lurched" | | 13 | "flicked" | | 14 | "jaw clenched" | | 15 | "etched" | | 16 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 205 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 205 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 239 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 12 | | totalWords | 1832 | | ratio | 0.007 | | matches | | 0 | "Walsh" | | 1 | "lack" | | 2 | "even" | | 3 | "controlled" | | 4 | "Eva." | | 5 | "twitched" | | 6 | "Veil Compass" | | 7 | "version" | | 8 | "her" | | 9 | "unraveled" | | 10 | "breathing" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1430 | | uniqueNames | 15 | | maxNameDensity | 2.03 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 29 | | Thames | 1 | | Walsh | 5 | | Northern | 1 | | Line | 1 | | Oxford | 1 | | London | 1 | | British | 1 | | Museum | 1 | | Ancient | 1 | | History | 1 | | Eva | 22 | | Veil | 2 | | Compass | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Walsh" | | 3 | "Line" | | 4 | "Museum" | | 5 | "Eva" |
| | places | | 0 | "Thames" | | 1 | "Oxford" | | 2 | "London" | | 3 | "British" | | 4 | "Ancient" | | 5 | "Veil" |
| | globalScore | 0.486 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | |
| 90.83% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.092 | | wordCount | 1832 | | matches | | 0 | "Not with wetness, but with something fibrous, like spider silk stretched too thin" | | 1 | "Not in person, but in description" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 239 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 90 | | mean | 20.36 | | std | 17.77 | | cv | 0.873 | | sampleLengths | | 0 | 90 | | 1 | 51 | | 2 | 30 | | 3 | 84 | | 4 | 47 | | 5 | 9 | | 6 | 10 | | 7 | 47 | | 8 | 5 | | 9 | 53 | | 10 | 40 | | 11 | 28 | | 12 | 40 | | 13 | 8 | | 14 | 4 | | 15 | 49 | | 16 | 1 | | 17 | 25 | | 18 | 25 | | 19 | 3 | | 20 | 47 | | 21 | 20 | | 22 | 32 | | 23 | 10 | | 24 | 26 | | 25 | 9 | | 26 | 24 | | 27 | 40 | | 28 | 5 | | 29 | 2 | | 30 | 24 | | 31 | 49 | | 32 | 2 | | 33 | 45 | | 34 | 43 | | 35 | 8 | | 36 | 16 | | 37 | 5 | | 38 | 26 | | 39 | 1 | | 40 | 11 | | 41 | 10 | | 42 | 6 | | 43 | 6 | | 44 | 2 | | 45 | 31 | | 46 | 9 | | 47 | 18 | | 48 | 3 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 205 | | matches | | 0 | "was turned" | | 1 | "was fixed" | | 2 | "been called" |
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| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 248 | | matches | | 0 | "were standing" | | 1 | "were screaming" | | 2 | "was watching" | | 3 | "was *breathing" |
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| 47.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 239 | | ratio | 0.033 | | matches | | 0 | "The air smelled of wet concrete and something older—damp earth and rust that seeped from the tiled walls." | | 1 | "The platform stretched ahead, littered with the detritus of neglect—peeling posters, discarded newspapers, the skeletal remains of an old bench." | | 2 | "The station’s architecture was classic Northern Line—curved ceiling, vintage tiling, a ghost of a once-busy life." | | 3 | "But there—along the temple, a tiny puncture mark, not much bigger than a needle." | | 4 | "It stretched in a thin, sinuous line along the platform, heading toward the disused tunnel mouth—a dark maw where water dripped and graffiti spiraled across brick and tile." | | 5 | "The light caught something metallic embedded in the wall—a grille, old and rusted." | | 6 | "Quinn looked at the Veil Compass half-buried in the wall, its brass casing tarnished with verdigris, its face etched with sigils that pulsed faintly under her observation—almost like it was *breathing*." | | 7 | "Inside was a bone token—small, carved from ivory, warm to the touch." |
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| 99.88% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1445 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.04013840830449827 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01314878892733564 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 239 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 239 | | mean | 7.67 | | std | 6.87 | | cv | 0.896 | | sampleLengths | | 0 | 25 | | 1 | 33 | | 2 | 18 | | 3 | 14 | | 4 | 16 | | 5 | 24 | | 6 | 7 | | 7 | 4 | | 8 | 13 | | 9 | 17 | | 10 | 6 | | 11 | 20 | | 12 | 11 | | 13 | 4 | | 14 | 6 | | 15 | 5 | | 16 | 6 | | 17 | 26 | | 18 | 18 | | 19 | 3 | | 20 | 2 | | 21 | 2 | | 22 | 7 | | 23 | 15 | | 24 | 9 | | 25 | 3 | | 26 | 7 | | 27 | 8 | | 28 | 16 | | 29 | 6 | | 30 | 1 | | 31 | 16 | | 32 | 5 | | 33 | 15 | | 34 | 1 | | 35 | 5 | | 36 | 4 | | 37 | 13 | | 38 | 3 | | 39 | 6 | | 40 | 4 | | 41 | 2 | | 42 | 2 | | 43 | 6 | | 44 | 5 | | 45 | 3 | | 46 | 3 | | 47 | 2 | | 48 | 14 | | 49 | 5 |
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| 43.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.301255230125523 | | totalSentences | 239 | | uniqueOpeners | 72 | |
| 98.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 169 | | matches | | 0 | "Too cold for this time" | | 1 | "Almost like an insect bite." | | 2 | "Then she turned the hand" | | 3 | "Then at Eva." | | 4 | "Then at the shimmering fibers" |
| | ratio | 0.03 | |
| 89.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 169 | | matches | | 0 | "She adjusted the strap of" | | 1 | "It was the light." | | 2 | "It was too *even*, too" | | 3 | "She pulled the zipper of" | | 4 | "They were dry." | | 5 | "She stood and pulled a" | | 6 | "she asked Walsh" | | 7 | "She walked slowly, boots clicking" | | 8 | "She reached for the victim’s" | | 9 | "She pulled back the hood." | | 10 | "She hadn’t seen her in" | | 11 | "Her vision blurred for a" | | 12 | "She steadied herself with a" | | 13 | "She stood abruptly." | | 14 | "she said to Walsh, voice" | | 15 | "She stepped back two paces," | | 16 | "Her mind raced." | | 17 | "She had a master’s in" | | 18 | "She didn’t call." | | 19 | "She knelt again, this time" |
| | ratio | 0.325 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 130 | | totalSentences | 169 | | matches | | 0 | "The rain drummed against the" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The air smelled of wet" | | 3 | "This close to the Thames," | | 4 | "She adjusted the strap of" | | 5 | "Quinn flashed her badge without" | | 6 | "Quinn stepped under the plastic" | | 7 | "The platform stretched ahead, littered" | | 8 | "It was the light." | | 9 | "The station wasn’t fully dark." | | 10 | "It was too *even*, too" | | 11 | "The shadows pooled like oil" | | 12 | "She pulled the zipper of" | | 13 | "They were dry." | | 14 | "She stood and pulled a" | | 15 | "she asked Walsh" | | 16 | "The constable pointed." | | 17 | "She walked slowly, boots clicking" | | 18 | "The station’s architecture was classic" | | 19 | "The air thrummed with a" |
| | ratio | 0.769 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 169 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "The rain drummed against the temporary canopy rigged over the station platform, a relentless staccato that blended with the distant hum of the city above." | | 1 | "Two uniforms stood guard, their faces taut with the kind of unease that came from knowing they were standing over something they didn’t understand." | | 2 | "The shadows pooled like oil in the corners, but the center of the platform stretched under a sickly glow that didn’t come from any visible source." | | 3 | "Quinn looked at the Veil Compass half-buried in the wall, its brass casing tarnished with verdigris, its face etched with sigils that pulsed faintly under her o…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice low and even" | | 1 | "Quinn asked, voice tight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.1 | | effectiveRatio | 0.039 | |