| 12.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "Rory said quietly [quietly]" | | 1 | "Eva said finally [finally]" | | 2 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 32 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.214 | | effectiveRatio | 0.188 | |
| 59.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1108 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "really" | | 3 | "gently" | | 4 | "suddenly" | | 5 | "softly" |
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| 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) | |
| 81.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1108 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "familiar" |
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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 | 1 | | narrationSentences | 41 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | 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 | 1121 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 775 | | uniqueNames | 11 | | maxNameDensity | 1.94 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 13 | | Raven | 2 | | Nest | 2 | | Eva | 15 | | Yu-Fei | 1 | | Cardiff | 1 | | Silas | 3 | | Malphora | 1 | | Laila | 1 | | Aurora | 2 | | Carter | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Eva" | | 4 | "Silas" | | 5 | "Laila" | | 6 | "Aurora" | | 7 | "Carter" |
| | places | | | globalScore | 0.532 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1121 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 33.97 | | std | 26.69 | | cv | 0.786 | | sampleLengths | | 0 | 64 | | 1 | 18 | | 2 | 1 | | 3 | 85 | | 4 | 37 | | 5 | 35 | | 6 | 47 | | 7 | 4 | | 8 | 8 | | 9 | 71 | | 10 | 6 | | 11 | 7 | | 12 | 61 | | 13 | 33 | | 14 | 52 | | 15 | 52 | | 16 | 12 | | 17 | 17 | | 18 | 4 | | 19 | 1 | | 20 | 44 | | 21 | 39 | | 22 | 42 | | 23 | 5 | | 24 | 7 | | 25 | 3 | | 26 | 72 | | 27 | 83 | | 28 | 35 | | 29 | 22 | | 30 | 90 | | 31 | 28 | | 32 | 36 |
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| 79.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 41 | | matches | | 0 | "being asked " | | 1 | "being struck" | | 2 | "being wounded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 123 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 59 | | ratio | 0.085 | | matches | | 0 | "Not a memory, not a photograph gone soft at the corners — Eva, sitting there in the flesh, turning a glass of white wine by its stem like she used to turn a pen when she was nervous about an exam." | | 1 | "He set a glass down in front of her without being asked — whisky, neat, the way she'd started taking it sometime in the last two years, though she couldn't say exactly when the change had happened, only that it had." | | 2 | "Rory smiled — the smile she used when a man in a stairwell was asking questions he had no business asking, the smile that gave nothing and cost nothing and ended conversations as gently as a door closing." | | 3 | "Eva looked, suddenly, very young and very tired at once — a woman clinging to the last outline of a friend who no longer occupied the shape she remembered." | | 4 | "Rory looked at her old friend's face — open, unguarded, still capable of being wounded by an old debt neither of them had ever properly closed — and felt something in her chest twist with a grief she rarely let surface." |
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| 84.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.057068741893644616 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.020752269779507133 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 19 | | std | 14.44 | | cv | 0.76 | | sampleLengths | | 0 | 22 | | 1 | 23 | | 2 | 5 | | 3 | 14 | | 4 | 18 | | 5 | 1 | | 6 | 41 | | 7 | 2 | | 8 | 29 | | 9 | 6 | | 10 | 7 | | 11 | 17 | | 12 | 20 | | 13 | 30 | | 14 | 5 | | 15 | 33 | | 16 | 14 | | 17 | 4 | | 18 | 8 | | 19 | 30 | | 20 | 41 | | 21 | 6 | | 22 | 7 | | 23 | 14 | | 24 | 47 | | 25 | 33 | | 26 | 11 | | 27 | 41 | | 28 | 26 | | 29 | 9 | | 30 | 17 | | 31 | 6 | | 32 | 6 | | 33 | 17 | | 34 | 4 | | 35 | 1 | | 36 | 38 | | 37 | 6 | | 38 | 21 | | 39 | 18 | | 40 | 18 | | 41 | 1 | | 42 | 23 | | 43 | 5 | | 44 | 7 | | 45 | 3 | | 46 | 43 | | 47 | 29 | | 48 | 20 | | 49 | 63 |
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| 70.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4745762711864407 | | totalSentences | 59 | | uniqueOpeners | 28 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 36 | | matches | | 0 | "Instead she picked up her" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 36 | | matches | | 0 | "She liked it that way." | | 1 | "She was halfway to her" | | 2 | "Her hair, once a wild" | | 3 | "He set a glass down" | | 4 | "She could not remember the" | | 5 | "She could not remember the" | | 6 | "She gestured vaguely at the" |
| | ratio | 0.194 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 36 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Tuesday nights were slow, the" | | 2 | "She liked it that way." | | 3 | "She was halfway to her" | | 4 | "Her hair, once a wild" | | 5 | "Eva's eyes had always given" | | 6 | "Eva said, before Rory could" | | 7 | "Rory slid onto the stool" | | 8 | "Eva laughed, but it came" | | 9 | "Rory caught Silas watching from" | | 10 | "He set a glass down" | | 11 | "Eva shook her head slowly," | | 12 | "Rory said, because it was" | | 13 | "Eva turned her wine glass" | | 14 | "Rory looked down at her" | | 15 | "She could not remember the" | | 16 | "She could not remember the" | | 17 | "Rory smiled — the smile" | | 18 | "Eva studied her for a" | | 19 | "Nobody called her that anymore," |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 4 | | matches | | 0 | "Her hair, once a wild copper mess, was cut close and precise, the kind of haircut that cost more than Rory made in a week delivering dumplings for Yu-Fei." | | 1 | "Rory caught Silas watching from behind the bar, his hazel eyes flicking over the two of them with the practiced disinterest of a man who noticed everything and …" | | 2 | "Rory smiled — the smile she used when a man in a stairwell was asking questions he had no business asking, the smile that gave nothing and cost nothing and ende…" | | 3 | "The silence that followed had weight to it, the particular density of two people realizing at the same moment that the bridge between who they'd been and who th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 32 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.125 | | effectiveRatio | 0.063 | |