| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1092 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 22.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1092 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "flicker" | | 2 | "weight" | | 3 | "silence" | | 4 | "chaotic" | | 5 | "vibrated" | | 6 | "gloom" | | 7 | "constructed" | | 8 | "velvet" | | 9 | "scanning" | | 10 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1090 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1008 | | uniqueNames | 7 | | maxNameDensity | 1.29 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 13 | | Soho | 2 | | Tube | 1 | | Londoners | 1 |
| | persons | | | places | | | globalScore | 0.855 | | windowScore | 1 | |
| 42.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like crossing a threshold into ano" | | 1 | "blades that seemed to hum; bundles of dried herbs that pulsed with a faint, rhythmic light" | | 2 | "felt like a chasm" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1090 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 27.95 | | std | 15.61 | | cv | 0.559 | | sampleLengths | | 0 | 57 | | 1 | 53 | | 2 | 46 | | 3 | 29 | | 4 | 37 | | 5 | 24 | | 6 | 52 | | 7 | 22 | | 8 | 49 | | 9 | 5 | | 10 | 40 | | 11 | 28 | | 12 | 47 | | 13 | 39 | | 14 | 34 | | 15 | 28 | | 16 | 3 | | 17 | 37 | | 18 | 4 | | 19 | 24 | | 20 | 20 | | 21 | 18 | | 22 | 44 | | 23 | 39 | | 24 | 49 | | 25 | 31 | | 26 | 10 | | 27 | 8 | | 28 | 22 | | 29 | 3 | | 30 | 8 | | 31 | 22 | | 32 | 14 | | 33 | 22 | | 34 | 31 | | 35 | 47 | | 36 | 14 | | 37 | 7 | | 38 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 74.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 159 | | matches | | 0 | "was looking" | | 1 | "wasn't looking" | | 2 | "was sorting" |
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| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 88 | | ratio | 0.045 | | matches | | 0 | "He held a small, bleached object in his hand—a bone token." | | 1 | "He wasn't looking at her eyes; he was looking at her hands, his gaze lingering on the empty space where her badge would be." | | 2 | "Quinn's gaze drifted to the various items on display in the passing stalls: jars of swirling, iridescent liquids; rusted blades that seemed to hum; bundles of dried herbs that pulsed with a faint, rhythmic light." | | 3 | "He held something up—a bone token." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1015 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.015763546798029555 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005911330049261084 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 12.39 | | std | 6.2 | | cv | 0.5 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 13 | | 3 | 15 | | 4 | 6 | | 5 | 16 | | 6 | 19 | | 7 | 12 | | 8 | 13 | | 9 | 15 | | 10 | 4 | | 11 | 14 | | 12 | 11 | | 13 | 3 | | 14 | 15 | | 15 | 7 | | 16 | 13 | | 17 | 7 | | 18 | 1 | | 19 | 9 | | 20 | 5 | | 21 | 7 | | 22 | 12 | | 23 | 12 | | 24 | 4 | | 25 | 17 | | 26 | 19 | | 27 | 7 | | 28 | 15 | | 29 | 14 | | 30 | 18 | | 31 | 5 | | 32 | 12 | | 33 | 5 | | 34 | 7 | | 35 | 16 | | 36 | 17 | | 37 | 11 | | 38 | 5 | | 39 | 12 | | 40 | 16 | | 41 | 11 | | 42 | 20 | | 43 | 14 | | 44 | 15 | | 45 | 10 | | 46 | 11 | | 47 | 23 | | 48 | 18 | | 49 | 10 |
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| 32.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.25 | | totalSentences | 88 | | uniqueOpeners | 22 | |
| 42.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 78 | | matches | | 0 | "Then, a faint, rhythmic thudding" |
| | ratio | 0.013 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 78 | | matches | | 0 | "She kept her eyes locked" | | 1 | "Her lungs burned, but her" | | 2 | "She adjusted her grip on" | | 3 | "She didn't lose him." | | 4 | "He was a shadow in" | | 5 | "He reached a heavy metal" | | 6 | "He didn't hesitate." | | 7 | "He threw his weight against" | | 8 | "She pressed her ear to" | | 9 | "She checked her leather watch." | | 10 | "She gripped the handle, found" | | 11 | "It smelled of ozone, old" | | 12 | "It was an abandoned Tube" | | 13 | "They didn't walk like Londoners." | | 14 | "Their movements were slow, deliberate," | | 15 | "He held a small, bleached" | | 16 | "He passed it to a" | | 17 | "He stopped at a stall" | | 18 | "She moved closer, sticking to" | | 19 | "He tapped a jagged piece" |
| | ratio | 0.385 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 78 | | matches | | 0 | "The rain turned the London" | | 1 | "Droplets lashed against the pavement," | | 2 | "She kept her eyes locked" | | 3 | "The suspect moved with a" | | 4 | "Quinn’s breath came in controlled" | | 5 | "Her lungs burned, but her" | | 6 | "She adjusted her grip on" | | 7 | "The salt-and-pepper hair at her" | | 8 | "The man doubled back, slicing" | | 9 | "Quinn pivoted, her boots skidding" | | 10 | "She didn't lose him." | | 11 | "He was a shadow in" | | 12 | "He reached a heavy metal" | | 13 | "He didn't hesitate." | | 14 | "He threw his weight against" | | 15 | "Quinn reached the door a" | | 16 | "The lock clicked shut, the" | | 17 | "She pressed her ear to" | | 18 | "She checked her leather watch." | | 19 | "The hands ticked forward with" |
| | ratio | 0.949 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 3 | | matches | | 0 | "Ahead, the platform stretched into the gloom, lit by strange, glowing lanterns that cast long, distorted shadows." | | 1 | "He wasn't looking at her eyes; he was looking at her hands, his gaze lingering on the empty space where her badge would be." | | 2 | "Quinn's gaze drifted to the various items on display in the passing stalls: jars of swirling, iridescent liquids; rusted blades that seemed to hum; bundles of d…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |