| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1146 | | 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) | |
| 65.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1146 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "glint" | | 1 | "footsteps" | | 2 | "flicked" | | 3 | "stomach" | | 4 | "familiar" | | 5 | "dance" | | 6 | "flickered" | | 7 | "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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 17 | | totalWords | 1147 | | ratio | 0.015 | | matches | | 0 | "Camden Town - No Entry" | | 1 | "this isn't a crime scene, this is somewhere you don't belong." | | 2 | "unresolved" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 911 | | uniqueNames | 12 | | maxNameDensity | 1.54 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 14 | | Herrera | 8 | | London | 4 | | Seville | 1 | | Town | 1 | | St | 1 | | Tube | 2 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "Seville" | | 5 | "Town" | | 6 | "St" |
| | globalScore | 0.732 | | windowScore | 0.833 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it had crawled out of a night" | | 1 | "quite human shuffling forward one by one" |
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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 | 1147 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 22.49 | | std | 18.79 | | cv | 0.835 | | sampleLengths | | 0 | 40 | | 1 | 2 | | 2 | 49 | | 3 | 55 | | 4 | 19 | | 5 | 26 | | 6 | 55 | | 7 | 57 | | 8 | 10 | | 9 | 15 | | 10 | 10 | | 11 | 24 | | 12 | 4 | | 13 | 18 | | 14 | 65 | | 15 | 9 | | 16 | 80 | | 17 | 32 | | 18 | 1 | | 19 | 17 | | 20 | 7 | | 21 | 5 | | 22 | 7 | | 23 | 2 | | 24 | 9 | | 25 | 55 | | 26 | 8 | | 27 | 2 | | 28 | 51 | | 29 | 23 | | 30 | 14 | | 31 | 4 | | 32 | 37 | | 33 | 9 | | 34 | 14 | | 35 | 11 | | 36 | 26 | | 37 | 10 | | 38 | 29 | | 39 | 12 | | 40 | 21 | | 41 | 30 | | 42 | 22 | | 43 | 39 | | 44 | 5 | | 45 | 4 | | 46 | 25 | | 47 | 13 | | 48 | 7 | | 49 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 85 | | ratio | 0.012 | | matches | | 0 | "He ducked beneath a low archway marked *Camden Town - No Entry*, chain-link fencing peeled back at one corner like a wound that never healed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03938730853391685 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0087527352297593 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.49 | | std | 9.35 | | cv | 0.693 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 3 | | 3 | 2 | | 4 | 16 | | 5 | 5 | | 6 | 3 | | 7 | 25 | | 8 | 13 | | 9 | 20 | | 10 | 22 | | 11 | 9 | | 12 | 10 | | 13 | 21 | | 14 | 5 | | 15 | 22 | | 16 | 16 | | 17 | 3 | | 18 | 4 | | 19 | 10 | | 20 | 25 | | 21 | 8 | | 22 | 24 | | 23 | 10 | | 24 | 15 | | 25 | 10 | | 26 | 16 | | 27 | 8 | | 28 | 4 | | 29 | 18 | | 30 | 9 | | 31 | 34 | | 32 | 11 | | 33 | 7 | | 34 | 4 | | 35 | 9 | | 36 | 19 | | 37 | 20 | | 38 | 41 | | 39 | 9 | | 40 | 23 | | 41 | 1 | | 42 | 2 | | 43 | 15 | | 44 | 7 | | 45 | 5 | | 46 | 7 | | 47 | 2 | | 48 | 9 | | 49 | 39 |
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| 87.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5411764705882353 | | totalSentences | 85 | | uniqueOpeners | 46 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Then the lights along the" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 59 | | matches | | 0 | "She didn't slow." | | 1 | "He never did." | | 2 | "He cut left down an" | | 3 | "she shouted, closing the gap" | | 4 | "His accent curled the words," | | 5 | "She ignored it." | | 6 | "He ducked beneath a low" | | 7 | "He said it flat, certain," | | 8 | "She squeezed through the gap" | | 9 | "He almost laughed, though nothing" | | 10 | "His eyes flicked to the" | | 11 | "it said, in a voice" | | 12 | "She thought of Morris, three" | | 13 | "She thought about turning back." | | 14 | "Her boots didn't move." |
| | ratio | 0.254 | |
| 61.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 59 | | matches | | 0 | "Detective Harlow Quinn's boots hit" | | 1 | "She didn't slow." | | 2 | "Tomás Herrera didn't look back." | | 3 | "He never did." | | 4 | "He cut left down an" | | 5 | "Quinn followed, her breath sawing," | | 6 | "she shouted, closing the gap" | | 7 | "His accent curled the words," | | 8 | "The alley spat them onto" | | 9 | "Quinn's radio crackled at her" | | 10 | "She ignored it." | | 11 | "Backup was minutes away." | | 12 | "Herrera would be gone in" | | 13 | "He ducked beneath a low" | | 14 | "Quinn's torch caught the glint" | | 15 | "Christopher medallion at his throat" | | 16 | "The fear of a man" | | 17 | "He said it flat, certain," | | 18 | "She squeezed through the gap" | | 19 | "The old Tube station swallowed" |
| | ratio | 0.797 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | | ratio | 0.017 | |
| 37.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 5 | | matches | | 0 | "Quinn rounded a pillar, torch raised, and found him standing before a set of double doors that shouldn't exist." | | 1 | "Reclaimed oak, iron banding, a symbol scratched into the wood that looked older than the station itself, older than London." | | 2 | "Where a face should have been, Quinn found only a smooth expanse of bone-white cloth, no eyes, no mouth, and yet she felt watched in a way that made her stomach…" | | 3 | "Herrera raised both hands, placating, familiar, a man who'd clearly done this dance before." | | 4 | "Quinn's torch beam shook, just slightly, throwing broken light across a station platform that had swallowed London's dead for over a century." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Quinn admitted (admit)" |
| | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0.4 | | effectiveRatio | 0.118 | |