| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.179 | | leniency | 0.359 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1054 | | totalAiIsmAdverbs | 1 | | 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) | |
| 38.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1054 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "porcelain" | | 1 | "echoed" | | 2 | "grave" | | 3 | "shimmered" | | 4 | "scanning" | | 5 | "weight" | | 6 | "profound" | | 7 | "silence" | | 8 | "footsteps" | | 9 | "database" | | 10 | "echoing" | | 11 | "flickered" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1054 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 786 | | uniqueNames | 10 | | maxNameDensity | 1.27 | | worstName | "Whitmore" | | maxWindowNameDensity | 2 | | worstWindowName | "Whitmore" | | discoveredNames | | Whitmore | 10 | | Tube | 1 | | Blitz | 1 | | Camden | 1 | | Quinn | 8 | | Patek | 2 | | Philippe | 1 | | Philippes | 1 | | Morris | 3 | | London | 1 |
| | persons | | 0 | "Whitmore" | | 1 | "Quinn" | | 2 | "Patek" | | 3 | "Philippe" | | 4 | "Morris" |
| | places | | | globalScore | 0.864 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | 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 | 1054 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 19.16 | | std | 18.69 | | cv | 0.975 | | sampleLengths | | 0 | 7 | | 1 | 30 | | 2 | 3 | | 3 | 52 | | 4 | 41 | | 5 | 18 | | 6 | 48 | | 7 | 8 | | 8 | 8 | | 9 | 50 | | 10 | 3 | | 11 | 2 | | 12 | 6 | | 13 | 21 | | 14 | 68 | | 15 | 2 | | 16 | 5 | | 17 | 1 | | 18 | 23 | | 19 | 28 | | 20 | 4 | | 21 | 15 | | 22 | 4 | | 23 | 17 | | 24 | 75 | | 25 | 6 | | 26 | 3 | | 27 | 14 | | 28 | 17 | | 29 | 8 | | 30 | 22 | | 31 | 51 | | 32 | 3 | | 33 | 11 | | 34 | 6 | | 35 | 15 | | 36 | 8 | | 37 | 5 | | 38 | 61 | | 39 | 13 | | 40 | 20 | | 41 | 4 | | 42 | 36 | | 43 | 54 | | 44 | 3 | | 45 | 11 | | 46 | 9 | | 47 | 6 | | 48 | 9 | | 49 | 19 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "been silenced" | | 1 | "was carved" |
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| 47.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 131 | | matches | | 0 | "wasn't standing" | | 1 | "was lying" | | 2 | "was only beginning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 119 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 788 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.02918781725888325 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01015228426395939 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 8.86 | | std | 5.94 | | cv | 0.671 | | sampleLengths | | 0 | 7 | | 1 | 16 | | 2 | 6 | | 3 | 8 | | 4 | 3 | | 5 | 20 | | 6 | 21 | | 7 | 2 | | 8 | 2 | | 9 | 7 | | 10 | 17 | | 11 | 9 | | 12 | 15 | | 13 | 8 | | 14 | 10 | | 15 | 6 | | 16 | 12 | | 17 | 8 | | 18 | 9 | | 19 | 5 | | 20 | 8 | | 21 | 7 | | 22 | 1 | | 23 | 4 | | 24 | 4 | | 25 | 7 | | 26 | 2 | | 27 | 23 | | 28 | 1 | | 29 | 1 | | 30 | 3 | | 31 | 13 | | 32 | 3 | | 33 | 2 | | 34 | 6 | | 35 | 7 | | 36 | 14 | | 37 | 5 | | 38 | 20 | | 39 | 14 | | 40 | 14 | | 41 | 2 | | 42 | 13 | | 43 | 2 | | 44 | 5 | | 45 | 1 | | 46 | 11 | | 47 | 12 | | 48 | 2 | | 49 | 13 |
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| 78.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5126050420168067 | | totalSentences | 119 | | uniqueOpeners | 61 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Just those stained fingers and" | | 1 | "Directly at the broken circle" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 73 | | matches | | 0 | "She pocketed it before the" | | 1 | "She found him on the" | | 2 | "She didn't look up" | | 3 | "Her fingers were stained with" | | 4 | "She pointed at the woman's" | | 5 | "She recognised the craftsmanship." | | 6 | "She didn't pull it out" | | 7 | "He meant they'd been silenced" | | 8 | "She meant they hadn't needed" | | 9 | "It formed a rough circle," | | 10 | "She photographed it with her" | | 11 | "He crossed his arms" | | 12 | "He left, his footsteps echoing" | | 13 | "She snapped it shut and" |
| | ratio | 0.192 | |
| 62.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 73 | | matches | | 0 | "The bone token cracked under" | | 1 | "Quinn froze, lifting her foot" | | 2 | "She pocketed it before the" | | 3 | "DCS Whitmore's voice echoed through" | | 4 | "The stairs had been a" | | 5 | "She found him on the" | | 6 | "Whitmore thrust his chin toward" | | 7 | "Quinn crouched beside the first" | | 8 | "Italian leather shoes, now scuffed" | | 9 | "A Patek Philippe watch still" | | 10 | "Vagrants didn't wear Patek Philippes." | | 11 | "Vagrants didn't wear shoes that" | | 12 | "She didn't look up" | | 13 | "Whitmore sounded relieved" | | 14 | "The second body told a" | | 15 | "Her fingers were stained with" | | 16 | "Quinn leaned closer." | | 17 | "The substance shimmered faintly in" | | 18 | "She pointed at the woman's" | | 19 | "Quinn stood, scanning the platform." |
| | ratio | 0.795 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Before the case that rewired" |
| | ratio | 0.014 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "DCS Whitmore's voice echoed through the abandoned Tube station, bouncing off curved tiles that hadn't seen passengers since the Blitz." | | 1 | "Male, mid-thirties, dressed in clothes that cost more than her monthly rent." | | 2 | "Her fingers were stained with something dark that wasn't blood, the colour concentrated beneath the nails as if she'd been digging in it." | | 3 | "The gravel was disturbed, scuffed in patterns that might have been footsteps or might have been something else entirely." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Whitmore's tone shifted, defensive" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |