| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "She crouched again [again]" |
| | dialogueSentences | 27 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.133 | | effectiveRatio | 0.133 | |
| 91.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1179 | | totalAiIsmAdverbs | 2 | | 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) | |
| 61.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1179 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoed" | | 1 | "familiar" | | 2 | "etched" | | 3 | "standard" | | 4 | "tracing" | | 5 | "aligned" | | 6 | "silk" | | 7 | "trembled" | | 8 | "variable" |
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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 | 77 | | matches | (empty) | |
| 31.54% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 77 | | 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 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 1168 | | ratio | 0.004 | | matches | | 0 | "what" | | 1 | "there" | | 2 | "traded" | | 3 | "who" | | 4 | "where" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 925 | | uniqueNames | 10 | | maxNameDensity | 1.84 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 17 | | Quinn | 2 | | Camden | 1 | | Tube | 1 | | Oxfords | 1 | | Kowalski | 1 | | Eva | 7 | | Morris | 5 | | London | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Oxfords" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.581 | | windowScore | 0.667 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "verdigris that seemed to shift in the floodlight, almost iridescent" | | 1 | "looked like footprints, almost looked lik" | | 2 | "looked like script" |
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| 28.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.712 | | wordCount | 1168 | | matches | | 0 | "not north, not anywhere fixed, but pointing toward the tunnel’s terminus wall" | | 1 | "not anywhere fixed, but pointing toward the tunnel’s terminus wall" |
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| 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 | 29 | | mean | 40.28 | | std | 22.7 | | cv | 0.564 | | sampleLengths | | 0 | 71 | | 1 | 17 | | 2 | 64 | | 3 | 59 | | 4 | 12 | | 5 | 64 | | 6 | 14 | | 7 | 56 | | 8 | 45 | | 9 | 67 | | 10 | 48 | | 11 | 75 | | 12 | 13 | | 13 | 8 | | 14 | 45 | | 15 | 43 | | 16 | 27 | | 17 | 70 | | 18 | 24 | | 19 | 40 | | 20 | 25 | | 21 | 66 | | 22 | 18 | | 23 | 7 | | 24 | 65 | | 25 | 17 | | 26 | 6 | | 27 | 46 | | 28 | 56 |
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| 91.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 77 | | matches | | 0 | "been arranged" | | 1 | "was etched" | | 2 | "been *traded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 160 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 88 | | ratio | 0.068 | | matches | | 0 | "The second was the shoes—polished Oxfords pointing toward the tunnel wall, not the exit, as though he’d been walking into the dark when he died." | | 1 | "When she noticed Harlow’s gaze, she tucked a stray curl behind her left ear—a nervous habit, left side only." | | 2 | "The face was etched with sigils that hurt to look at directly—protective markings, her brain supplied, though she didn’t know how she knew." | | 3 | "The lack of blood because the heart hadn’t stopped—it had been *traded*." | | 4 | "She stood, pocketing the compass—evidence be damned—and turned to face the tunnel wall." | | 5 | "But her watch—the leather band Morris had worn before her—felt hot against her skin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 936 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02564102564102564 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010683760683760684 | |
| 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 | 13.27 | | std | 8.53 | | cv | 0.643 | | sampleLengths | | 0 | 18 | | 1 | 26 | | 2 | 4 | | 3 | 10 | | 4 | 13 | | 5 | 17 | | 6 | 24 | | 7 | 25 | | 8 | 15 | | 9 | 27 | | 10 | 2 | | 11 | 5 | | 12 | 25 | | 13 | 7 | | 14 | 5 | | 15 | 6 | | 16 | 25 | | 17 | 14 | | 18 | 19 | | 19 | 9 | | 20 | 5 | | 21 | 28 | | 22 | 28 | | 23 | 5 | | 24 | 13 | | 25 | 2 | | 26 | 11 | | 27 | 14 | | 28 | 8 | | 29 | 20 | | 30 | 23 | | 31 | 16 | | 32 | 9 | | 33 | 39 | | 34 | 38 | | 35 | 21 | | 36 | 5 | | 37 | 4 | | 38 | 7 | | 39 | 13 | | 40 | 8 | | 41 | 9 | | 42 | 36 | | 43 | 11 | | 44 | 17 | | 45 | 15 | | 46 | 6 | | 47 | 3 | | 48 | 6 | | 49 | 12 |
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| 57.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3977272727272727 | | totalSentences | 88 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 71 | | matches | | 0 | "She’d told the constable upstairs" | | 1 | "Her boots hit the platform" | | 2 | "She ran a hand over" | | 3 | "It lay supine on the" | | 4 | "She clutched her worn leather" | | 5 | "She gestured at the platform," | | 6 | "She reached for the evidence" | | 7 | "She pointed to the black" | | 8 | "She just hadn’t known *what*" | | 9 | "she said quietly" | | 10 | "She pointed at the wall" | | 11 | "She thought of Morris, of" | | 12 | "She looked at the body" | | 13 | "She crouched again, ignoring protocol," | | 14 | "She stood, pocketing the compass—evidence" | | 15 | "She’d been looking at the" | | 16 | "She’d been looking for a" | | 17 | "She should have been looking" | | 18 | "She thought of the verdigris" | | 19 | "She thought of Morris, folded" |
| | ratio | 0.296 | |
| 51.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 71 | | matches | | 0 | "The tunnel smelled of wet" | | 1 | "Detective Harlow Quinn descended the" | | 2 | "She’d told the constable upstairs" | | 3 | "The discrepancy irritated her, a" | | 4 | "Her boots hit the platform" | | 5 | "The abandoned Camden Tube station" | | 6 | "CSIs had erected portable floods," | | 7 | "She ran a hand over" | | 8 | "It lay supine on the" | | 9 | "That was the first wrongness." | | 10 | "The second was the shoes—polished" | | 11 | "Harlow turned, her sharp jaw" | | 12 | "Eva Kowalski stood at the" | | 13 | "She clutched her worn leather" | | 14 | "Eva’s voice steadied as she" | | 15 | "She gestured at the platform," | | 16 | "Harlow crouched beside the deceased." | | 17 | "She reached for the evidence" | | 18 | "The face was etched with" | | 19 | "The needle spun lazily, not" |
| | ratio | 0.817 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 71 | | matches | | 0 | "As if he’d never touched" | | 1 | "Now, watching the compass needle" |
| | ratio | 0.028 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "The abandoned Camden Tube station stretched before her, a throat of black tiles and dormant tracks that terminated in a wall of engineered darkness." | | 1 | "CSIs had erected portable floods, painting the scene in harsh sodium glare that turned the salt-and-pepper stubble of Harlow’s cropped hair into a silver halo." | | 2 | "It lay supine on the platform’s edge, a man in a solicitor’s suit, mid-thirties, hands folded neatly across his chest as if he’d been arranged for viewing." | | 3 | "Inside sat a small brass compass, its casing mottled with verdigris that seemed to shift in the floodlight, almost iridescent." | | 4 | "She thought of the verdigris footprints on the tiles, the chemical reaction of brass meeting something that shouldn’t exist in London’s atmosphere." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "She gestured, the darkness, the wrongness of the body’s placement" | | 1 | "Harlow said, not turning around" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 27 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0.125 | | effectiveRatio | 0.074 | |