| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1248 | | 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) | |
| 43.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1248 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "warmth" | | 2 | "scanning" | | 3 | "echo" | | 4 | "footsteps" | | 5 | "structure" | | 6 | "flickered" | | 7 | "gloom" | | 8 | "velvet" | | 9 | "weight" | | 10 | "glinting" | | 11 | "pulse" | | 12 | "could feel" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1239 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1214 | | uniqueNames | 11 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 18 | | Soho | 2 | | Morris | 3 | | London | 1 | | Union | 1 | | Jack | 1 | | Yard | 1 | | Herrera | 3 | | Rain | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Union" | | 4 | "Jack" | | 5 | "Herrera" | | 6 | "Rain" |
| | places | | | globalScore | 0.759 | | windowScore | 0.667 | |
| 55.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like sanctuary" | | 1 | "looked like the disused platform of a for" | | 2 | "felt like it was sealing itself" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.807 | | wordCount | 1239 | | matches | | 0 | "not a criminal but a terrified young man with a scar along his forearm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 53.87 | | std | 39.7 | | cv | 0.737 | | sampleLengths | | 0 | 109 | | 1 | 97 | | 2 | 2 | | 3 | 66 | | 4 | 74 | | 5 | 2 | | 6 | 67 | | 7 | 96 | | 8 | 32 | | 9 | 115 | | 10 | 84 | | 11 | 61 | | 12 | 6 | | 13 | 67 | | 14 | 104 | | 15 | 10 | | 16 | 10 | | 17 | 31 | | 18 | 117 | | 19 | 41 | | 20 | 34 | | 21 | 7 | | 22 | 7 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 96 | | matches | | 0 | "been found" | | 1 | "been closed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 209 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 9 | | totalSentences | 100 | | ratio | 0.09 | | matches | | 0 | "Quinn had seen the bar before—photos pinned to the wall in the incident room, names scrawled on whiteboards—but she had never crossed its threshold." | | 1 | "The man glanced back once—olive skin, short curls plastered to his head, a faint flash of silver at his throat." | | 2 | "It wasn’t flush to the wall; a narrow gap showed behind it." | | 3 | "She thought of Morris again—his laughter, the way he’d always checked the corners she forgot—and the way the coroner’s report had simply said “post-mortem displacement of skeletal structure.” No one at the Yard would sign off on a search warrant for a hidden stairwell beneath a Soho bar." | | 4 | "The stairwell smelled of wet limestone and something sharper—like ozone after lightning." | | 5 | "Figures moved in the gloom—stalls arranged in crooked rows, tables covered in velvet cloths, cages holding things that rustled and clicked." | | 6 | "The vendor placed something small and pale—a token, Quinn thought, shaped like a knucklebone—into his hand." | | 7 | "The name surfaced from a half-remembered bulletin—former paramedic, lost his registration after certain irregularities with patient records." | | 8 | "Rain had followed them underground; water ran down his curls and into his eyes, but he didn’t blink it away." |
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| 98.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1236 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.042071197411003236 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006472491909385114 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 12.39 | | std | 8.32 | | cv | 0.671 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 26 | | 3 | 6 | | 4 | 42 | | 5 | 16 | | 6 | 24 | | 7 | 3 | | 8 | 24 | | 9 | 8 | | 10 | 4 | | 11 | 18 | | 12 | 2 | | 13 | 9 | | 14 | 20 | | 15 | 24 | | 16 | 5 | | 17 | 8 | | 18 | 14 | | 19 | 4 | | 20 | 20 | | 21 | 15 | | 22 | 17 | | 23 | 4 | | 24 | 2 | | 25 | 3 | | 26 | 4 | | 27 | 12 | | 28 | 9 | | 29 | 3 | | 30 | 17 | | 31 | 10 | | 32 | 9 | | 33 | 5 | | 34 | 15 | | 35 | 48 | | 36 | 17 | | 37 | 11 | | 38 | 10 | | 39 | 11 | | 40 | 11 | | 41 | 12 | | 42 | 6 | | 43 | 18 | | 44 | 9 | | 45 | 18 | | 46 | 20 | | 47 | 16 | | 48 | 16 | | 49 | 21 |
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| 49.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.34 | | totalSentences | 100 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 93 | | matches | | 0 | "Then he vanished behind a" | | 1 | "Then she stepped inside and" | | 2 | "Only the low drip of" | | 3 | "Then she started down into" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 93 | | matches | | 0 | "She reached the alley mouth" | | 1 | "She narrowed her eyes." | | 2 | "She leveled the weapon." | | 3 | "It wasn’t flush to the" | | 4 | "She pressed her shoulder to" | | 5 | "She caught the wet echo" | | 6 | "She hesitated at the threshold." | | 7 | "She thought of Morris again—his" | | 8 | "She tucked it along her" | | 9 | "She counted twenty steps, then" | | 10 | "She felt the weight of" | | 11 | "He spoke quickly to a" | | 12 | "He looked up, eyes wide" | | 13 | "She had never connected him" | | 14 | "He hesitated at the top" | | 15 | "she said, voice low and" | | 16 | "She thought of Morris again," | | 17 | "She could feel the market" | | 18 | "She would lose whatever thread" | | 19 | "She glanced once over her" |
| | ratio | 0.237 | |
| 51.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 93 | | matches | | 0 | "The sodium lamps bled sickly" | | 1 | "Quinn’s breath burned in her" | | 2 | "She reached the alley mouth" | | 3 | "The suspect was already twenty" | | 4 | "THE RAVEN’S NEST." | | 5 | "Quinn had seen the bar" | | 6 | "Tonight the low light inside" | | 7 | "She narrowed her eyes." | | 8 | "The figure in the coat" | | 9 | "The air shifted from rain-washed" | | 10 | "The barman’s rag froze mid-polish." | | 11 | "Quinn kept moving, gun low" | | 12 | "The suspect cut left behind" | | 13 | "Quinn lengthened her stride." | | 14 | "The man glanced back once—olive" | | 15 | "Quinn was three steps from" | | 16 | "She leveled the weapon." | | 17 | "The hand withdrew." | | 18 | "Quinn reached the bookshelf." | | 19 | "It wasn’t flush to the" |
| | ratio | 0.817 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 93 | | matches | | 0 | "If she went down there," | | 1 | "If she turned back now," |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 1 | | matches | | 0 | "Ahead of her, the suspect curved into an alley between two shuttered buildings, a figure in a soaked black coat that flapped like a torn sail." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice low and steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |