| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 63 | | tagDensity | 0.079 | | leniency | 0.159 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2086 | | 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) | |
| 88.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2086 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "trembled" | | 3 | "pulse" | | 4 | "quivered" |
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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 | 153 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 153 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 211 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2086 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1457 | | uniqueNames | 7 | | maxNameDensity | 2.13 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 31 | | Camden | 1 | | Tube | 1 | | Sergeant | 1 | | Malik | 1 | | Byrne | 20 | | Eva | 15 |
| | persons | | 0 | "Quinn" | | 1 | "Sergeant" | | 2 | "Malik" | | 3 | "Byrne" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.436 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.959 | | wordCount | 2086 | | matches | | 0 | "not north, not east, but toward a bricked-up maintenance arch behind the old ticket l" | | 1 | "not east, but toward a bricked-up maintenance arch behind the old ticket l" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 211 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 106 | | mean | 19.68 | | std | 19.23 | | cv | 0.977 | | sampleLengths | | 0 | 61 | | 1 | 55 | | 2 | 5 | | 3 | 12 | | 4 | 8 | | 5 | 85 | | 6 | 26 | | 7 | 5 | | 8 | 8 | | 9 | 12 | | 10 | 40 | | 11 | 8 | | 12 | 10 | | 13 | 12 | | 14 | 3 | | 15 | 1 | | 16 | 47 | | 17 | 15 | | 18 | 8 | | 19 | 65 | | 20 | 6 | | 21 | 6 | | 22 | 46 | | 23 | 21 | | 24 | 40 | | 25 | 3 | | 26 | 18 | | 27 | 10 | | 28 | 4 | | 29 | 8 | | 30 | 26 | | 31 | 11 | | 32 | 6 | | 33 | 56 | | 34 | 18 | | 35 | 5 | | 36 | 14 | | 37 | 11 | | 38 | 3 | | 39 | 15 | | 40 | 43 | | 41 | 13 | | 42 | 10 | | 43 | 1 | | 44 | 19 | | 45 | 50 | | 46 | 55 | | 47 | 6 | | 48 | 8 | | 49 | 4 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 153 | | matches | | 0 | "been thrown" | | 1 | "been etched" | | 2 | "been painted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 216 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 211 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1460 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.025342465753424658 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002054794520547945 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 211 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 211 | | mean | 9.89 | | std | 8.83 | | cv | 0.893 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 24 | | 3 | 26 | | 4 | 13 | | 5 | 16 | | 6 | 5 | | 7 | 12 | | 8 | 8 | | 9 | 8 | | 10 | 24 | | 11 | 28 | | 12 | 5 | | 13 | 8 | | 14 | 12 | | 15 | 26 | | 16 | 5 | | 17 | 8 | | 18 | 7 | | 19 | 5 | | 20 | 17 | | 21 | 16 | | 22 | 7 | | 23 | 8 | | 24 | 7 | | 25 | 3 | | 26 | 12 | | 27 | 3 | | 28 | 1 | | 29 | 9 | | 30 | 6 | | 31 | 9 | | 32 | 5 | | 33 | 6 | | 34 | 12 | | 35 | 4 | | 36 | 11 | | 37 | 8 | | 38 | 13 | | 39 | 20 | | 40 | 7 | | 41 | 6 | | 42 | 19 | | 43 | 6 | | 44 | 6 | | 45 | 9 | | 46 | 37 | | 47 | 3 | | 48 | 12 | | 49 | 6 |
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| 46.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.26066350710900477 | | totalSentences | 211 | | uniqueOpeners | 55 | |
| 23.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 139 | | matches | | | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 139 | | matches | | 0 | "Her curly red hair had" | | 1 | "She pushed her round glasses" | | 2 | "He tipped his chin at" | | 3 | "She caught the heel with" | | 4 | "His shirt had split at" | | 5 | "Her gloved fingers worked it" | | 6 | "Her eyes sharpened behind her" | | 7 | "She crouched and ran her" | | 8 | "She brushed a finger close" | | 9 | "She followed it with her" | | 10 | "It stopped under the dead" | | 11 | "Her freckles stood out sharp" | | 12 | "She held up a gloved" | | 13 | "His tongue showed dark at" | | 14 | "She watched it gather, then" | | 15 | "She looked back at Byrne." | | 16 | "He stared at her as" | | 17 | "Her voice stayed low, careful," | | 18 | "It held a fine silver" | | 19 | "She looked to the side" |
| | ratio | 0.165 | |
| 24.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 139 | | matches | | 0 | "The lift groaned as it" | | 1 | "The air turned damp and" | | 2 | "Eva waited at the bottom" | | 3 | "Her curly red hair had" | | 4 | "She pushed her round glasses" | | 5 | "Quinn stepped off the lift" | | 6 | "The abandoned Tube station had" | | 7 | "Stalls of black lacquered wood" | | 8 | "A string of work lamps" | | 9 | "Uniforms moved between the stalls." | | 10 | "Forensics crouched near the edge" | | 11 | "A copper urn had spilled" | | 12 | "Eva shifted her satchel higher." | | 13 | "Quinn’s gaze stayed on the" | | 14 | "A man in a dark" | | 15 | "Detective Sergeant Malik Byrne had" | | 16 | "He tipped his chin at" | | 17 | "Quinn walked past him toward" | | 18 | "Quinn pulled on gloves and" | | 19 | "The victim’s shoes stuck out" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 139 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 4 | | matches | | 0 | "A string of work lamps had been thrown over a rusted beam, flooding the place in a harsh white glare that made every crack in the tiles show." | | 1 | "A line of tiny black burns ringed the torn cloth as if the fabric had kissed a hot wire." | | 2 | "He stared at her as if she had switched languages halfway through the conversation." | | 3 | "It held a fine silver grit, the kind that clung to old river stone." |
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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 | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 63 | | tagDensity | 0.079 | | leniency | 0.159 | | rawRatio | 0 | | effectiveRatio | 0 | |