| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás exhaled sharply [sharply]" |
| | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.167 | | effectiveRatio | 0.1 | |
| 90.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1023 | | 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) | |
| 31.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1023 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "measured" | | 1 | "efficient" | | 2 | "pulse" | | 3 | "perfect" | | 4 | "gloom" | | 5 | "echoed" | | 6 | "weight" | | 7 | "glint" | | 8 | "stomach" | | 9 | "etched" | | 10 | "glinting" | | 11 | "whisper" | | 12 | "flicked" | | 13 | "loomed" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 4 | | totalWords | 1016 | | ratio | 0.004 | | matches | | 0 | "Camden Town." | | 1 | "tired" | | 2 | "now" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 860 | | uniqueNames | 13 | | maxNameDensity | 1.63 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 14 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Abandoned | 1 | | Veil | 1 | | Market | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | | | globalScore | 0.686 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like ozone and decay" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1016 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 29.03 | | std | 20.23 | | cv | 0.697 | | sampleLengths | | 0 | 63 | | 1 | 46 | | 2 | 83 | | 3 | 46 | | 4 | 44 | | 5 | 15 | | 6 | 38 | | 7 | 6 | | 8 | 44 | | 9 | 44 | | 10 | 48 | | 11 | 6 | | 12 | 47 | | 13 | 6 | | 14 | 31 | | 15 | 62 | | 16 | 62 | | 17 | 7 | | 18 | 43 | | 19 | 10 | | 20 | 15 | | 21 | 16 | | 22 | 5 | | 23 | 27 | | 24 | 26 | | 25 | 9 | | 26 | 3 | | 27 | 20 | | 28 | 20 | | 29 | 33 | | 30 | 13 | | 31 | 26 | | 32 | 7 | | 33 | 32 | | 34 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 150 | | matches | | |
| 16.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 113 | | ratio | 0.044 | | matches | | 0 | "The suspect—some wiry kid with a hood pulled low—darted around a corner, his sneakers slapping against wet pavement." | | 1 | "The kid hesitated for a fraction of a second—just long enough for Quinn to close the distance—before veering left, toward the mouth of an old Tube station." | | 2 | "A sound echoed up from below—a scuffle, a curse." | | 3 | "The air hummed with activity—figures moving between the booths, their forms shifting in the dim light." | | 4 | "He paused at a stall, exchanging something with the vendor—a hunched figure with too many fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 867 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02768166089965398 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002306805074971165 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 8.99 | | std | 5.52 | | cv | 0.614 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 18 | | 3 | 3 | | 4 | 4 | | 5 | 2 | | 6 | 20 | | 7 | 8 | | 8 | 9 | | 9 | 9 | | 10 | 17 | | 11 | 10 | | 12 | 15 | | 13 | 14 | | 14 | 27 | | 15 | 17 | | 16 | 11 | | 17 | 11 | | 18 | 3 | | 19 | 4 | | 20 | 13 | | 21 | 19 | | 22 | 10 | | 23 | 2 | | 24 | 9 | | 25 | 6 | | 26 | 10 | | 27 | 4 | | 28 | 2 | | 29 | 8 | | 30 | 8 | | 31 | 6 | | 32 | 6 | | 33 | 12 | | 34 | 16 | | 35 | 13 | | 36 | 3 | | 37 | 8 | | 38 | 5 | | 39 | 9 | | 40 | 3 | | 41 | 9 | | 42 | 10 | | 43 | 13 | | 44 | 9 | | 45 | 20 | | 46 | 1 | | 47 | 5 | | 48 | 6 | | 49 | 13 |
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| 53.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.36283185840707965 | | totalSentences | 113 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 91 | | matches | | 0 | "She wasn’t losing him." | | 1 | "Her leather watch creaked against" | | 2 | "She wasn’t about to let" | | 3 | "She pulled her torch from" | | 4 | "Her fingers twitched toward her" | | 5 | "She knew the risks." | | 6 | "She took the first step" | | 7 | "Her skin prickled." | | 8 | "She adjusted her grip on" | | 9 | "Her boots splashed through shallow" | | 10 | "She rounded a corner and" | | 11 | "She’d heard the stories, of" | | 12 | "She’d never believed them." | | 13 | "She could see him weaving" | | 14 | "He paused at a stall," | | 15 | "She should turn back." | | 16 | "She stepped forward, her torchlight" | | 17 | "She kept her chin up," | | 18 | "She wasn’t afraid." | | 19 | "he said, his voice low" |
| | ratio | 0.297 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 91 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "The suspect—some wiry kid with" | | 3 | "Quinn’s jaw tightened." | | 4 | "She wasn’t losing him." | | 5 | "Her leather watch creaked against" | | 6 | "The kid was fast, but" | | 7 | "She wasn’t about to let" | | 8 | "The suspect cut down a" | | 9 | "Quinn followed, her shoulder brushing" | | 10 | "The alley opened into a" | | 11 | "The Raven’s Nest’s distinctive green" | | 12 | "The kid hesitated for a" | | 13 | "Quinn skidded to a stop" | | 14 | "The station was dark, the" | | 15 | "A rusted sign dangled from" | | 16 | "*Camden Town.* Abandoned." | | 17 | "She pulled her torch from" | | 18 | "The stairs descended into blackness," | | 19 | "Her fingers twitched toward her" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "The air hummed with activity—figures moving between the booths, their forms shifting in the dim light." | | 1 | "A rack of knives, their blades etched with symbols that made her eyes ache." | | 2 | "It tilted its head, its mouth stretching into a grin that showed too many teeth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice low" | | 1 | "He stepped, his voice dropping to a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |