| 80.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "she corrected automatically [automatically]" | | 1 | "she said finally [finally]" | | 2 | "she said quietly [quietly]" |
| | dialogueSentences | 50 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.136 | | effectiveRatio | 0.12 | |
| 95.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2018 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 62.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2018 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoed" | | 1 | "familiar" | | 2 | "tension" | | 3 | "fractured" | | 4 | "measured" | | 5 | "unspoken" | | 6 | "sense of" | | 7 | "navigate" | | 8 | "intensity" | | 9 | "weight" | | 10 | "sanctuary" | | 11 | "pulse" | | 12 | "echoing" |
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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 | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2014 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1234 | | uniqueNames | 10 | | maxNameDensity | 0.49 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 6 | | Soho | 2 | | Evan | 2 | | Yu-Fei | 1 | | Golden | 1 | | Empress | 1 | | London | 2 | | Seven | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Yu-Fei" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "as though expecting company" |
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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 | 2014 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 46.84 | | std | 29.88 | | cv | 0.638 | | sampleLengths | | 0 | 154 | | 1 | 71 | | 2 | 116 | | 3 | 40 | | 4 | 33 | | 5 | 40 | | 6 | 23 | | 7 | 35 | | 8 | 46 | | 9 | 23 | | 10 | 52 | | 11 | 6 | | 12 | 2 | | 13 | 42 | | 14 | 37 | | 15 | 67 | | 16 | 40 | | 17 | 24 | | 18 | 23 | | 19 | 77 | | 20 | 40 | | 21 | 33 | | 22 | 15 | | 23 | 58 | | 24 | 48 | | 25 | 32 | | 26 | 44 | | 27 | 84 | | 28 | 37 | | 29 | 30 | | 30 | 69 | | 31 | 60 | | 32 | 13 | | 33 | 50 | | 34 | 92 | | 35 | 16 | | 36 | 47 | | 37 | 58 | | 38 | 29 | | 39 | 60 | | 40 | 15 | | 41 | 27 | | 42 | 106 |
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| 99.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 115 | | matches | | 0 | "was gone" | | 1 | "been carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 221 | | matches | | |
| 62.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 143 | | ratio | 0.028 | | matches | | 0 | "Old maps papered the walls between black-and-white photographs—street scenes, faded faces, places she couldn’t immediately place." | | 1 | "Even at a glance, the posture carried a familiar tension—the kind that belonged to someone who spent his life leaning into conversations rather than away from them." | | 2 | "She hadn’t noticed it until now—a childhood mark, faint and white, curving like a half-moon." | | 3 | "The shape of his posture, the way his eyes measured the room, the careful economy of his movements—it all screamed field work." |
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| 87.30% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1250 | | adjectiveStacks | 2 | | stackExamples | | 0 | "dim, tobacco-warmed air." | | 1 | "small crescent-shaped scar" |
| | adverbCount | 51 | | adverbRatio | 0.0408 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.0096 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 14.08 | | std | 10.98 | | cv | 0.78 | | sampleLengths | | 0 | 22 | | 1 | 13 | | 2 | 22 | | 3 | 16 | | 4 | 16 | | 5 | 7 | | 6 | 27 | | 7 | 31 | | 8 | 14 | | 9 | 19 | | 10 | 27 | | 11 | 11 | | 12 | 3 | | 13 | 18 | | 14 | 27 | | 15 | 13 | | 16 | 21 | | 17 | 9 | | 18 | 14 | | 19 | 7 | | 20 | 4 | | 21 | 7 | | 22 | 14 | | 23 | 11 | | 24 | 8 | | 25 | 14 | | 26 | 9 | | 27 | 10 | | 28 | 3 | | 29 | 30 | | 30 | 6 | | 31 | 1 | | 32 | 13 | | 33 | 10 | | 34 | 14 | | 35 | 21 | | 36 | 2 | | 37 | 36 | | 38 | 8 | | 39 | 11 | | 40 | 12 | | 41 | 21 | | 42 | 15 | | 43 | 16 | | 44 | 6 | | 45 | 2 | | 46 | 42 | | 47 | 6 | | 48 | 11 | | 49 | 20 |
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| 62.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3986013986013986 | | totalSentences | 143 | | uniqueOpeners | 57 | |
| 31.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 105 | | matches | | 0 | "Somewhere behind the bar, a" |
| | ratio | 0.01 | |
| 25.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 105 | | matches | | 0 | "She stepped out of the" | | 1 | "It smelled of polished wood," | | 2 | "She hadn’t meant to come" | | 3 | "She kept her gaze low," | | 4 | "She lifted her eyes and" | | 5 | "His hair, once a reckless" | | 6 | "He wore his right hand" | | 7 | "His voice was lower now," | | 8 | "She kept her posture relaxed," | | 9 | "His mouth twitched." | | 10 | "He turned his head fully" | | 11 | "she corrected automatically, though the" | | 12 | "He shifted, wincing almost imperceptibly" | | 13 | "She reached for the half-empty" | | 14 | "He studied her, the quiet" | | 15 | "She hadn’t noticed it until" | | 16 | "His eyes lingered on it" | | 17 | "He tapped the silver ring" | | 18 | "she guessed, the acronym slipping" | | 19 | "He didn’t smile" |
| | ratio | 0.486 | |
| 40.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 105 | | matches | | 0 | "The heavy brass door of" | | 1 | "She stepped out of the" | | 2 | "It smelled of polished wood," | | 3 | "She hadn’t meant to come" | | 4 | "The flat directly above the" | | 5 | "She kept her gaze low," | | 6 | "A figure in a tweed" | | 7 | "She lifted her eyes and" | | 8 | "Silas was gone." | | 9 | "His hair, once a reckless" | | 10 | "Hazel irises watched the empty" | | 11 | "He wore his right hand" | | 12 | "A slight drag in his" | | 13 | "The knee had given out," | | 14 | "the man said" | | 15 | "His voice was lower now," | | 16 | "The inflection, the dry lift" | | 17 | "Cardiff accent, sanded down but" | | 18 | "Rory slid into the booth," | | 19 | "She kept her posture relaxed," |
| | ratio | 0.838 | |
| 95.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 105 | | matches | | 0 | "Even at a glance, the" | | 1 | "Before she packed a single" |
| | ratio | 0.019 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "He turned his head fully now, hazel eyes tracking her face, lingering on the sharp line of her cheekbones, the bright blue of her eyes that hadn’t changed despi…" | | 1 | "She’d spent so many months avoiding mirrors, avoiding the girl who used to pace lecture halls with certainty." | | 2 | "The grey in his beard, the careful way he moved, the quiet authority that had replaced his old restless ambition." | | 3 | "He was still the man who would sit through a six-hour debate on constitutional law just to hear her speak, but he’d learned to sit still." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "she guessed, the acronym slipping out before she could stop it" | | 1 | "He reached, the silver ring clicking against the base" | | 2 | "He didn’t, but his hand rested flat on the table, the silver ring catching the light once more" |
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| 90.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "she corrected automatically (correct)" | | 1 | "he murmured (murmur)" | | 2 | "she guessed (guess)" |
| | dialogueSentences | 50 | | tagDensity | 0.26 | | leniency | 0.52 | | rawRatio | 0.231 | | effectiveRatio | 0.12 | |