| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 72.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 724 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "barely above a whisper" | | 2 | "very" | | 3 | "gently" |
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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) | |
| 17.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 724 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "constructed" | | 1 | "intricate" | | 2 | "jaw clenched" | | 3 | "scanned" | | 4 | "racing" | | 5 | "whisper" | | 6 | "down her spine" | | 7 | "determined" | | 8 | "trembled" | | 9 | "silence" | | 10 | "oppressive" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" | | 2 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 38 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 38 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 725 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 543 | | uniqueNames | 7 | | maxNameDensity | 3.13 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | Tube | 1 | | Detective | 2 | | Inspector | 1 | | James | 8 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Inspector" | | 3 | "James" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 4 | | matches | | 0 | "pattern that seemed to shift and writhe on the page" | | 1 | "verdigris that seemed to glow in the dim light" | | 2 | "as if sensing her presence, before pointing toward the far end of the platform" | | 3 | "tunnel that seemed to swallow the light whole" |
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| 62.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.379 | | wordCount | 725 | | matches | | 0 | "not sure, but I think we're just scratching the surface" |
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| 94.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 46 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 31.52 | | std | 16.17 | | cv | 0.513 | | sampleLengths | | 0 | 50 | | 1 | 49 | | 2 | 17 | | 3 | 56 | | 4 | 43 | | 5 | 10 | | 6 | 32 | | 7 | 41 | | 8 | 13 | | 9 | 23 | | 10 | 30 | | 11 | 48 | | 12 | 33 | | 13 | 10 | | 14 | 11 | | 15 | 13 | | 16 | 34 | | 17 | 63 | | 18 | 36 | | 19 | 51 | | 20 | 13 | | 21 | 17 | | 22 | 32 |
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| 77.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 38 | | matches | | 0 | "were interrupted" | | 1 | "was made" | | 2 | "was determined" |
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| 58.16% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 94 | | matches | | 0 | "was studying" | | 1 | "was studying" |
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| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 46 | | ratio | 0.043 | | matches | | 0 | "\"Victim's a young woman, early twenties. No ID on her, but she's got a... unique tattoo on her left wrist.\" He held up his notebook, displaying a sketch of the tattoo – an intricate, swirling pattern that seemed to shift and writhe on the page." | | 1 | "She felt a shiver run down her spine as she noticed something she had missed earlier – a small, delicate compass pendant clutched in the victim's hand." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 339 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.02359882005899705 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008849557522123894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 15.76 | | std | 7.9 | | cv | 0.501 | | sampleLengths | | 0 | 19 | | 1 | 12 | | 2 | 19 | | 3 | 19 | | 4 | 21 | | 5 | 9 | | 6 | 17 | | 7 | 11 | | 8 | 45 | | 9 | 14 | | 10 | 13 | | 11 | 16 | | 12 | 10 | | 13 | 2 | | 14 | 30 | | 15 | 14 | | 16 | 4 | | 17 | 12 | | 18 | 11 | | 19 | 13 | | 20 | 8 | | 21 | 15 | | 22 | 12 | | 23 | 18 | | 24 | 21 | | 25 | 27 | | 26 | 14 | | 27 | 19 | | 28 | 10 | | 29 | 11 | | 30 | 4 | | 31 | 9 | | 32 | 7 | | 33 | 27 | | 34 | 16 | | 35 | 27 | | 36 | 20 | | 37 | 17 | | 38 | 19 | | 39 | 15 | | 40 | 17 | | 41 | 19 | | 42 | 13 | | 43 | 6 | | 44 | 11 | | 45 | 32 |
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| 54.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.32608695652173914 | | totalSentences | 46 | | uniqueOpeners | 15 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 37 | | matches | | 0 | "She adjusted her worn leather" | | 1 | "she asked, approaching a colleague," | | 2 | "He held up his notebook," | | 3 | "She walked over to the" | | 4 | "she asked James, pointing to" | | 5 | "She recalled a similar design" | | 6 | "She felt a shiver run" | | 7 | "She reached out a gloved" |
| | ratio | 0.216 | |
| 0.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 37 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She adjusted her worn leather" | | 3 | "A makeshift barrier, constructed from" | | 4 | "Quinn's eyes narrowed as she" | | 5 | "she asked, approaching a colleague," | | 6 | "James looked up, his eyes" | | 7 | "He held up his notebook," | | 8 | "Quinn's gaze lingered on the" | | 9 | "The woman lay on her" | | 10 | "Quinn's sharp jaw clenched as" | | 11 | "Quinn asked, her voice low" | | 12 | "Quinn's eyes scanned the surrounding" | | 13 | "Something didn't add up." | | 14 | "She walked over to the" | | 15 | "A small, almost imperceptible scratch" | | 16 | "she asked James, pointing to" | | 17 | "James peered at the mark," | | 18 | "Quinn's eyes snapped back to" | | 19 | "She recalled a similar design" |
| | ratio | 0.919 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn's eyes followed the direction, her gaze lingering on the dark tunnel that seemed to swallow the light whole." | | 1 | "The silence that followed was oppressive, punctuated only by the faint hum of the forensic equipment and the soft scratching of the compass needle as it continu…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn asked, her voice low and even" | | 1 | "Quinn's eyes met, a silent understanding passing between them" | | 2 | "Quinn finished, her voice barely above a whisper" | | 3 | "James asked, his voice low and concerned" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |