| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 2 |
|
| | highlights | | 0 | "gently" | | 1 | "carefully" | | 2 | "deliberately" |
| |
| 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) | |
| 86.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "shattered" | | 1 | "weight" | | 2 | "traced" |
| |
| 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 | 90 | | matches | (empty) | |
| 79.37% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1092 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 803 | | uniqueNames | 9 | | maxNameDensity | 2.24 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Quinn | 18 | | Reeves | 4 | | Webb | 4 | | London | 2 | | Camden | 1 | | Eva | 2 | | Kowalski | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Reeves" | | 2 | "Webb" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Morris" |
| | places | | | globalScore | 0.379 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "darkness that seemed to absorb light rather than reflect it" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.916 | | wordCount | 1092 | | matches | | 0 | "not scattered, but arranged" |
| |
| 74.07% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 108 | | matches | | 0 | "happened that the" | | 1 | "learning that crime" | | 2 | "prepared that station" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 26.63 | | std | 19.87 | | cv | 0.746 | | sampleLengths | | 0 | 53 | | 1 | 18 | | 2 | 42 | | 3 | 6 | | 4 | 38 | | 5 | 70 | | 6 | 24 | | 7 | 27 | | 8 | 31 | | 9 | 19 | | 10 | 29 | | 11 | 57 | | 12 | 7 | | 13 | 7 | | 14 | 50 | | 15 | 7 | | 16 | 30 | | 17 | 13 | | 18 | 39 | | 19 | 36 | | 20 | 75 | | 21 | 9 | | 22 | 27 | | 23 | 3 | | 24 | 7 | | 25 | 56 | | 26 | 15 | | 27 | 7 | | 28 | 4 | | 29 | 22 | | 30 | 13 | | 31 | 8 | | 32 | 3 | | 33 | 23 | | 34 | 12 | | 35 | 3 | | 36 | 45 | | 37 | 27 | | 38 | 50 | | 39 | 62 | | 40 | 18 |
| |
| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 90 | | matches | | 0 | "been disturbed" | | 1 | "been positioned" | | 2 | "were positioned" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 108 | | ratio | 0.102 | | matches | | 0 | "Her leather shoes crunched over debris scattered across the platform—shattered tiles, old newspapers yellowed to the color of diseased teeth, a child's doll missing one arm." | | 1 | "The body bore no signs of violence—no bruising, no lacerations, no defensive marks." | | 2 | "She noted the clothing—designer trainers, expensive jeans, a vintage band t-shirt that probably cost more than Reeves' monthly rent." | | 3 | "Gang tags layered over older symbols she almost recognized—circles and lines that might have been protective markings or might have been kids drawing random shapes in abandoned places." | | 4 | "There, the dust had been disturbed—not scattered, but arranged." | | 5 | "The air grew fresher as she ascended—still laden with London's perpetual damp, but better than the stagnant staleness of the station proper." | | 6 | "The shop sold curiosities—old maps, obscure books, items that belonged in museum archives rather than in a grubby Camden storefront." | | 7 | "Books overflowed from shelves—occult texts, ancient history, grimoires with titles in languages she didn't recognize." | | 8 | "But three years ago, she'd learned there were patterns that existed outside the normal world—the kind that had taken DS Morris on a case that ended in his death and left her with more questions than the official reports provided." | | 9 | "The compass collection in the shop window caught her attention again—each one pointing in a different direction." | | 10 | "Quinn's fingers traced the verdigris-marked compass on her watch strap—a compass that pointed toward things others couldn't see." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 477 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03773584905660377 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.012578616352201259 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 10.11 | | std | 7.36 | | cv | 0.728 | | sampleLengths | | 0 | 13 | | 1 | 2 | | 2 | 12 | | 3 | 26 | | 4 | 9 | | 5 | 2 | | 6 | 7 | | 7 | 22 | | 8 | 1 | | 9 | 5 | | 10 | 14 | | 11 | 6 | | 12 | 13 | | 13 | 25 | | 14 | 5 | | 15 | 12 | | 16 | 5 | | 17 | 9 | | 18 | 13 | | 19 | 11 | | 20 | 15 | | 21 | 19 | | 22 | 3 | | 23 | 2 | | 24 | 11 | | 25 | 3 | | 26 | 3 | | 27 | 7 | | 28 | 2 | | 29 | 1 | | 30 | 19 | | 31 | 12 | | 32 | 5 | | 33 | 13 | | 34 | 1 | | 35 | 29 | | 36 | 4 | | 37 | 7 | | 38 | 28 | | 39 | 13 | | 40 | 5 | | 41 | 7 | | 42 | 7 | | 43 | 3 | | 44 | 6 | | 45 | 12 | | 46 | 9 | | 47 | 2 | | 48 | 6 | | 49 | 12 |
| |
| 83.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5370370370370371 | | totalSentences | 108 | | uniqueOpeners | 58 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Probably his first real scene." | | 1 | "Somewhere overhead, London slept." |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 72 | | matches | | 0 | "Her leather shoes crunched over" | | 1 | "She descended the final steps" | | 2 | "His eyes stared upward, pupils" | | 3 | "His skin had already begun" | | 4 | "She noted the clothing—designer trainers," | | 5 | "She sniffed near the mouth" | | 6 | "She'd been at this too" | | 7 | "She walked the perimeter." | | 8 | "Her torch illuminated graffiti dating" | | 9 | "She knelt and studied the" | | 10 | "She climbed back up the" | | 11 | "She ended the call and" | | 12 | "She studied the shop once" |
| | ratio | 0.181 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 72 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Her leather shoes crunched over" | | 2 | "She descended the final steps" | | 3 | "Constable Reeves stood near the" | | 4 | "Quinn watched him shift his" | | 5 | "Reeves didn't turn around" | | 6 | "Quinn crouched beside the corpse." | | 7 | "Webb lay on his back," | | 8 | "The body bore no signs" | | 9 | "His eyes stared upward, pupils" | | 10 | "His skin had already begun" | | 11 | "She noted the clothing—designer trainers," | | 12 | "Webb hadn't struggled." | | 13 | "Quinn rolled the body's wrist" | | 14 | "She sniffed near the mouth" | | 15 | "Reeves finally glanced down at" | | 16 | "Quinn stood, her knees protesting." | | 17 | "She'd been at this too" | | 18 | "She walked the perimeter." | | 19 | "Her torch illuminated graffiti dating" |
| | ratio | 0.778 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Constable Reeves stood near the platform's edge, his torch beam cutting through darkness that seemed to absorb light rather than reflect it." | | 1 | "The shop sold curiosities—old maps, obscure books, items that belonged in museum archives rather than in a grubby Camden storefront." | | 2 | "But three years ago, she'd learned there were patterns that existed outside the normal world—the kind that had taken DS Morris on a case that ended in his death…" |
| |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn straightened, her watch catching the light" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.143 | | effectiveRatio | 0.067 | |