| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn turned back [back]" |
| | dialogueSentences | 44 | | tagDensity | 0.114 | | leniency | 0.227 | | rawRatio | 0.2 | | effectiveRatio | 0.045 | |
| 81.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1647 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "lazily" | | 2 | "sharply" |
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| 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) | |
| 57.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1647 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "gloom" | | 1 | "velvet" | | 2 | "pristine" | | 3 | "etched" | | 4 | "pulse" | | 5 | "tension" | | 6 | "flicked" | | 7 | "quickened" | | 8 | "whisper" |
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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 | 155 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 155 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 194 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1633 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1268 | | uniqueNames | 7 | | maxNameDensity | 2.6 | | worstName | "Quinn" | | maxWindowNameDensity | 8.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 33 | | Davies | 12 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Eva | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.199 | | windowScore | 0 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 5 | | matches | | 0 | "tasted like that, the case was never simp" | | 1 | "looked like a stage costume—black velvet" | | 2 | "as if sensing something she couldn’t" | | 3 | "covers that seemed to shift when you looked at them" | | 4 | "looked like people but weren’t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.612 | | wordCount | 1633 | | matches | | 0 | "Not in any police manual, but in the margins of her partner’s notebook, the one he’d been" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 194 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 20.94 | | std | 15.42 | | cv | 0.736 | | sampleLengths | | 0 | 64 | | 1 | 21 | | 2 | 23 | | 3 | 53 | | 4 | 22 | | 5 | 27 | | 6 | 20 | | 7 | 41 | | 8 | 32 | | 9 | 10 | | 10 | 14 | | 11 | 50 | | 12 | 7 | | 13 | 20 | | 14 | 8 | | 15 | 38 | | 16 | 42 | | 17 | 6 | | 18 | 22 | | 19 | 16 | | 20 | 57 | | 21 | 19 | | 22 | 10 | | 23 | 21 | | 24 | 37 | | 25 | 37 | | 26 | 9 | | 27 | 25 | | 28 | 23 | | 29 | 22 | | 30 | 46 | | 31 | 4 | | 32 | 2 | | 33 | 35 | | 34 | 26 | | 35 | 4 | | 36 | 26 | | 37 | 13 | | 38 | 3 | | 39 | 45 | | 40 | 6 | | 41 | 31 | | 42 | 26 | | 43 | 2 | | 44 | 75 | | 45 | 24 | | 46 | 6 | | 47 | 6 | | 48 | 2 | | 49 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 155 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 207 | | matches | | |
| 39.76% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 194 | | ratio | 0.036 | | matches | | 0 | "The air smelled of ozone and old pennies—copper and electricity, a combination that set her teeth on edge." | | 1 | "A young man, early twenties, dressed in what looked like a stage costume—black velvet coat, lace cuffs, boots that had never seen mud." | | 2 | "The needle didn’t point north—it spun lazily, as if unsure where to settle." | | 3 | "And the symbols—she’d seen them before." | | 4 | "The air smelled of rust and something else—something sweet and rotten, like flowers left too long in a vase." | | 5 | "And in the center—" | | 6 | "A child—no, not a child, something wearing the shape of one—who watched her with a smile that didn’t reach its hollow eyes." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1281 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.03669008587041374 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01014832162373146 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 194 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 194 | | mean | 8.42 | | std | 5.75 | | cv | 0.683 | | sampleLengths | | 0 | 10 | | 1 | 15 | | 2 | 18 | | 3 | 21 | | 4 | 16 | | 5 | 5 | | 6 | 20 | | 7 | 3 | | 8 | 9 | | 9 | 23 | | 10 | 21 | | 11 | 5 | | 12 | 17 | | 13 | 8 | | 14 | 8 | | 15 | 5 | | 16 | 6 | | 17 | 20 | | 18 | 7 | | 19 | 8 | | 20 | 10 | | 21 | 13 | | 22 | 3 | | 23 | 7 | | 24 | 12 | | 25 | 13 | | 26 | 6 | | 27 | 4 | | 28 | 14 | | 29 | 5 | | 30 | 14 | | 31 | 2 | | 32 | 1 | | 33 | 6 | | 34 | 22 | | 35 | 3 | | 36 | 4 | | 37 | 2 | | 38 | 18 | | 39 | 8 | | 40 | 20 | | 41 | 10 | | 42 | 2 | | 43 | 2 | | 44 | 4 | | 45 | 9 | | 46 | 10 | | 47 | 1 | | 48 | 8 | | 49 | 7 |
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| 42.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.29896907216494845 | | totalSentences | 194 | | uniqueOpeners | 58 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 135 | | matches | | 0 | "Somewhere in the distance, water" | | 1 | "Then she saw it." | | 2 | "Then, from the shadows, a" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 135 | | matches | | 0 | "His face was frozen in" | | 1 | "She reached into her pocket" | | 2 | "She turned the compass over." | | 3 | "She ran her fingers along" | | 4 | "It crumbled slightly under her" | | 5 | "She knelt again, this time" | | 6 | "She lifted one of his" | | 7 | "She stopped at the edge" | | 8 | "She was too busy watching" | | 9 | "She stepped down onto the" | | 10 | "It was cold." | | 11 | "She turned the handle." | | 12 | "She knew this place." | | 13 | "She’d heard whispers about it" | | 14 | "She took a step forward," | | 15 | "She wore round glasses and" | | 16 | "Her freckled face was pale," | | 17 | "She was too busy watching" | | 18 | "She was already moving, her" | | 19 | "He reached under the counter" |
| | ratio | 0.163 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 135 | | matches | | 0 | "The station platform was slick" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air smelled of ozone" | | 3 | "DS Davies stood near the" | | 4 | "Quinn adjusted her worn leather" | | 5 | "Davies gestured to the body" | | 6 | "A young man, early twenties," | | 7 | "His face was frozen in" | | 8 | "Quinn crouched, careful not to" | | 9 | "The victim’s hands were clean," | | 10 | "Quinn’s gaze drifted to the" | | 11 | "The velvet was pristine, no" | | 12 | "She reached into her pocket" | | 13 | "Davies handed her a clear" | | 14 | "The needle didn’t point north—it" | | 15 | "Quinn’s fingers tightened around the" | | 16 | "She turned the compass over." | | 17 | "The brass casing had a" | | 18 | "Quinn stood abruptly." | | 19 | "Davies followed her gaze to" |
| | ratio | 0.815 | |
| 74.07% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 135 | | matches | | 0 | "If he’d fallen from the" | | 1 | "As if someone had scrubbed" |
| | ratio | 0.015 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "The air smelled of ozone and old pennies—copper and electricity, a combination that set her teeth on edge." | | 1 | "His face was frozen in an expression of surprise, mouth slightly open as if he’d been mid-sentence when death caught him." | | 2 | "The needle had started spinning again, faster this time, as if sensing something she couldn’t." | | 3 | "She’d heard whispers about it in the station, late-night stories from beat cops who’d seen things they couldn’t explain." | | 4 | "They were moving, shifting, coalescing into something with too many limbs and eyes that gleamed like polished glass." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.068 | | leniency | 0.136 | | rawRatio | 0 | | effectiveRatio | 0 | |