| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "She stood again [again]" |
| | dialogueSentences | 41 | | tagDensity | 0.244 | | leniency | 0.488 | | rawRatio | 0.2 | | effectiveRatio | 0.098 | |
| 90.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1095 | | 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) | |
| 86.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1095 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "stomach" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1095 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 721 | | uniqueNames | 8 | | maxNameDensity | 0.97 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 7 | | Victorian | 1 | | Mallory | 6 | | Maglite | 1 | | Swept | 1 | | Peckham | 1 | | Morris | 1 | | Eva | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Mallory" | | 2 | "Morris" | | 3 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 17.35% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.826 | | wordCount | 1095 | | matches | | 0 | "Not a pen, not a knife, something that burns but doesn't char" | | 1 | "not a knife, something that burns but doesn't char" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 20.28 | | std | 20.46 | | cv | 1.009 | | sampleLengths | | 0 | 5 | | 1 | 43 | | 2 | 39 | | 3 | 22 | | 4 | 24 | | 5 | 33 | | 6 | 2 | | 7 | 33 | | 8 | 12 | | 9 | 5 | | 10 | 1 | | 11 | 4 | | 12 | 31 | | 13 | 49 | | 14 | 56 | | 15 | 4 | | 16 | 4 | | 17 | 6 | | 18 | 39 | | 19 | 30 | | 20 | 1 | | 21 | 3 | | 22 | 54 | | 23 | 27 | | 24 | 6 | | 25 | 3 | | 26 | 36 | | 27 | 43 | | 28 | 10 | | 29 | 3 | | 30 | 47 | | 31 | 1 | | 32 | 1 | | 33 | 36 | | 34 | 1 | | 35 | 45 | | 36 | 3 | | 37 | 8 | | 38 | 5 | | 39 | 2 | | 40 | 50 | | 41 | 73 | | 42 | 3 | | 43 | 64 | | 44 | 1 | | 45 | 2 | | 46 | 1 | | 47 | 3 | | 48 | 6 | | 49 | 50 |
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| 86.40% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 93 | | matches | | 0 | "been arranged" | | 1 | "been left" | | 2 | "been opened" | | 3 | "been disturbed" | | 4 | "been dragged" |
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| 29.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 117 | | matches | | 0 | "was looking" | | 1 | "was talking" | | 2 | "was staring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 726 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.030303030303030304 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008264462809917356 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 8.83 | | std | 9.87 | | cv | 1.118 | | sampleLengths | | 0 | 5 | | 1 | 18 | | 2 | 2 | | 3 | 2 | | 4 | 1 | | 5 | 15 | | 6 | 5 | | 7 | 8 | | 8 | 4 | | 9 | 10 | | 10 | 17 | | 11 | 17 | | 12 | 5 | | 13 | 21 | | 14 | 3 | | 15 | 33 | | 16 | 2 | | 17 | 16 | | 18 | 3 | | 19 | 1 | | 20 | 1 | | 21 | 12 | | 22 | 3 | | 23 | 5 | | 24 | 4 | | 25 | 5 | | 26 | 1 | | 27 | 4 | | 28 | 31 | | 29 | 2 | | 30 | 12 | | 31 | 16 | | 32 | 19 | | 33 | 4 | | 34 | 1 | | 35 | 4 | | 36 | 7 | | 37 | 3 | | 38 | 5 | | 39 | 32 | | 40 | 4 | | 41 | 4 | | 42 | 6 | | 43 | 4 | | 44 | 28 | | 45 | 7 | | 46 | 30 | | 47 | 1 | | 48 | 3 | | 49 | 3 |
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| 93.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5967741935483871 | | totalSentences | 124 | | uniqueOpeners | 74 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Somewhere beyond the tape, a" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 65 | | matches | | 0 | "It clung to the brick" | | 1 | "Her knees protested, the old" | | 2 | "He was younger than her" | | 3 | "She was looking at the" | | 4 | "They were dry." | | 5 | "He gestured vaguely at the" | | 6 | "She stood again, slower this" | | 7 | "Her eyes tracked up the" | | 8 | "She clicked it on, angled" | | 9 | "She wouldn't have seen it" | | 10 | "She took a step back" | | 11 | "Her stomach did the small," | | 12 | "She didn't look at him" | | 13 | "She was staring at the" | | 14 | "Her radio crackled." |
| | ratio | 0.231 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 65 | | matches | | 0 | "The body had been arranged." | | 1 | "That was the first thing" | | 2 | "Arms folded across the chest" | | 3 | "Someone had taken their time." | | 4 | "The second thing she noticed" | | 5 | "Something sweeter, almost floral, like" | | 6 | "It clung to the brick" | | 7 | "DS Mallory crouched by the" | | 8 | "Quinn pulled on her own" | | 9 | "Mallory handed her a notebook," | | 10 | "A biro sketch." | | 11 | "The body, the arms, and" | | 12 | "Quinn studied it." | | 13 | "Her knees protested, the old" | | 14 | "The worn leather of her" | | 15 | "The victim was male." | | 16 | "Shoes polished to a mirror." | | 17 | "Mallory stood, knees cracking." | | 18 | "He was younger than her" | | 19 | "Both traits she'd cultivated in" |
| | ratio | 0.708 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 5 | | matches | | 0 | "Forty-one years of landings, of pavements, of kicking in doors that should have been left alone." | | 1 | "No defensive wounds on the hands she could see, no blood pooled beneath him, which was interesting, because his throat had been opened from ear to ear in a sing…" | | 2 | "He was younger than her by a decade, softer by two stone, and he had the sort of face that made witnesses trust him and suspects underestimate him." | | 3 | "No heel-scuff, no blood-spatter, no scatter of debris that comes with dead weight and panic." | | 4 | "The floral-penny smell thickened, and Quinn felt, distinctly, the hairs on the back of her neck lift, one by one, as though something in the alley had turned, v…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.073 | | leniency | 0.146 | | rawRatio | 0 | | effectiveRatio | 0 | |