| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "gloom" | | 1 | "flickered" | | 2 | "weight" | | 3 | "trembled" | | 4 | "pulse" | | 5 | "stomach" | | 6 | "etched" | | 7 | "intricate" | | 8 | "silence" | | 9 | "unreadable" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 17 | | totalWords | 1024 | | ratio | 0.017 | | matches | | 0 | "clack" | | 1 | "Veil" | | 2 | "Camden, beneath the old arches" | | 3 | "Midnight, every full moon" | | 4 | "\"Quinn, there’s something in the walls—\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 801 | | uniqueNames | 9 | | maxNameDensity | 1.5 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 12 | | Patel | 11 | | Veil | 3 | | Market | 2 | | Morris | 1 | | Static | 1 | | Camden | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.751 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 102 | | matches | | 0 | "knew that name" | | 1 | "knew that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 30.12 | | std | 21.93 | | cv | 0.728 | | sampleLengths | | 0 | 84 | | 1 | 54 | | 2 | 11 | | 3 | 77 | | 4 | 59 | | 5 | 36 | | 6 | 9 | | 7 | 35 | | 8 | 20 | | 9 | 40 | | 10 | 6 | | 11 | 64 | | 12 | 12 | | 13 | 37 | | 14 | 17 | | 15 | 52 | | 16 | 51 | | 17 | 44 | | 18 | 5 | | 19 | 12 | | 20 | 13 | | 21 | 27 | | 22 | 11 | | 23 | 55 | | 24 | 5 | | 25 | 31 | | 26 | 21 | | 27 | 4 | | 28 | 53 | | 29 | 25 | | 30 | 12 | | 31 | 7 | | 32 | 20 | | 33 | 15 |
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| 62.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 10 | | totalSentences | 83 | | matches | | 0 | "been dropped" | | 1 | "was torn" | | 2 | "was frozen" | | 3 | "was caved" | | 4 | "were curled" | | 5 | "were arranged" | | 6 | "was raised" | | 7 | "was etched" | | 8 | "was involved" | | 9 | "been closed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 137 | | matches | | 0 | "wasn’t buying" | | 1 | "wasn’t pointing" | | 2 | "was spinning" | | 3 | "was watching" | | 4 | "was waking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 102 | | ratio | 0.059 | | matches | | 0 | "His suit was expensive—charcoal wool, tailored—but the fabric was torn at the shoulder, the edges blackened as if singed." | | 1 | "The tiles here were different—older, their edges sharper, the grout stained with something darker than grime." | | 2 | "On the other, an address—*Camden, beneath the old arches*—and a time: *Midnight, every full moon*." | | 3 | "Her torch beam caught on something half-buried in the dirt near the tracks—a small, brass object, its surface dull with verdigris." | | 4 | "The compass’s face was etched with symbols—tiny, intricate sigils that made her eyes ache if she looked at them too long." | | 5 | "The case had been closed—officially, at least." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 810 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03333333333333333 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003703703703703704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 10.04 | | std | 7.16 | | cv | 0.714 | | sampleLengths | | 0 | 27 | | 1 | 23 | | 2 | 28 | | 3 | 6 | | 4 | 9 | | 5 | 18 | | 6 | 22 | | 7 | 5 | | 8 | 3 | | 9 | 8 | | 10 | 22 | | 11 | 19 | | 12 | 19 | | 13 | 14 | | 14 | 3 | | 15 | 12 | | 16 | 32 | | 17 | 15 | | 18 | 7 | | 19 | 13 | | 20 | 14 | | 21 | 2 | | 22 | 5 | | 23 | 4 | | 24 | 9 | | 25 | 26 | | 26 | 20 | | 27 | 21 | | 28 | 10 | | 29 | 9 | | 30 | 4 | | 31 | 2 | | 32 | 13 | | 33 | 16 | | 34 | 6 | | 35 | 13 | | 36 | 7 | | 37 | 6 | | 38 | 3 | | 39 | 4 | | 40 | 8 | | 41 | 12 | | 42 | 18 | | 43 | 7 | | 44 | 7 | | 45 | 10 | | 46 | 9 | | 47 | 16 | | 48 | 10 | | 49 | 3 |
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| 56.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3627450980392157 | | totalSentences | 102 | | uniqueOpeners | 37 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Somewhere in the dark, water" | | 1 | "Somewhere beneath Camden, something was" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 78 | | matches | | 0 | "He was young, too young" | | 1 | "She was too busy staring" | | 2 | "It lay sprawled across the" | | 3 | "His suit was expensive—charcoal wool," | | 4 | "His face was frozen in" | | 5 | "He made air quotes with" | | 6 | "She shone her torch along" | | 7 | "She turned, sweeping the beam" | | 8 | "Her torch trembled." | | 9 | "She knelt again, this time" | | 10 | "She pinched the edge of" | | 11 | "It was a business card," | | 12 | "She knew that name." | | 13 | "She tucked the card into" | | 14 | "She stood, stripping off the" | | 15 | "Her torch beam caught on" | | 16 | "She picked it up, turning" | | 17 | "It was spinning, slow and" | | 18 | "She snapped it shut." | | 19 | "She knew that much." |
| | ratio | 0.295 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 78 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The beam of her torch" | | 3 | "DS Patel emerged from the" | | 4 | "He was young, too young" | | 5 | "Quinn didn’t answer." | | 6 | "She was too busy staring" | | 7 | "It lay sprawled across the" | | 8 | "His suit was expensive—charcoal wool," | | 9 | "His face was frozen in" | | 10 | "The left side of his" | | 11 | "Patel said, flipping a page" | | 12 | "He made air quotes with" | | 13 | "Quinn crouched, careful not to" | | 14 | "The man’s fingers were curled" | | 15 | "She shone her torch along" | | 16 | "Patel exhaled through his nose." | | 17 | "Quinn stood, brushing her palms" | | 18 | "Quinn’s torch flickered over the" | | 19 | "The man’s tie was still" |
| | ratio | 0.769 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Tube station smelled of damp stone and old iron, the kind of scent that clung to the back of your throat like a bad memory." | | 1 | "Had heard it whispered in the dark corners of the station, in the hushed voices of informants who clammed up the second she pressed too hard." | | 2 | "It was spinning, slow and erratic, as if caught in an unseen current." | | 3 | "The compass’s face was etched with symbols—tiny, intricate sigils that made her eyes ache if she looked at them too long." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn stepped, her pulse thudding in her throat" | | 1 | "Morris had, his last words crackling over the radio: *" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.033 | | leniency | 0.067 | | rawRatio | 0 | | effectiveRatio | 0 | |