| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.102 | | leniency | 0.204 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2059 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 87.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2059 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "lurched" | | 1 | "pulse" | | 2 | "silence" | | 3 | "weight" |
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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 | 190 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 190 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 234 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2058 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1747 | | uniqueNames | 18 | | maxNameDensity | 1.14 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Tomás" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Raven | 2 | | Nest | 2 | | Tottenham | 1 | | Court | 1 | | Road | 2 | | Tube | 1 | | Soho | 1 | | Chalk | 1 | | Farm | 1 | | Underground | 1 | | Herrera | 1 | | Tomás | 9 | | Rain | 5 | | Morris | 1 | | Quinn | 20 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Tomás" | | 3 | "Rain" | | 4 | "Morris" | | 5 | "Quinn" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Tottenham" | | 4 | "Court" | | 5 | "Road" | | 6 | "Soho" | | 7 | "Chalk" | | 8 | "Farm" |
| | globalScore | 0.928 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed steeper when she stood on them alone" |
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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 | 2058 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 234 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 114 | | mean | 18.05 | | std | 21.07 | | cv | 1.167 | | sampleLengths | | 0 | 20 | | 1 | 58 | | 2 | 2 | | 3 | 45 | | 4 | 57 | | 5 | 88 | | 6 | 5 | | 7 | 29 | | 8 | 2 | | 9 | 62 | | 10 | 4 | | 11 | 3 | | 12 | 37 | | 13 | 49 | | 14 | 33 | | 15 | 6 | | 16 | 2 | | 17 | 79 | | 18 | 64 | | 19 | 55 | | 20 | 3 | | 21 | 6 | | 22 | 55 | | 23 | 4 | | 24 | 46 | | 25 | 1 | | 26 | 23 | | 27 | 21 | | 28 | 7 | | 29 | 11 | | 30 | 80 | | 31 | 12 | | 32 | 49 | | 33 | 7 | | 34 | 14 | | 35 | 2 | | 36 | 8 | | 37 | 25 | | 38 | 3 | | 39 | 5 | | 40 | 15 | | 41 | 7 | | 42 | 3 | | 43 | 18 | | 44 | 7 | | 45 | 2 | | 46 | 2 | | 47 | 5 | | 48 | 65 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 190 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 294 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 234 | | ratio | 0.004 | | matches | | 0 | "Light rose from below in strange colours—amber, violet, a sickly blue that made the wet brick shine like skin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1755 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.02507122507122507 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0011396011396011395 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 234 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 234 | | mean | 8.79 | | std | 6.99 | | cv | 0.795 | | sampleLengths | | 0 | 20 | | 1 | 15 | | 2 | 17 | | 3 | 4 | | 4 | 5 | | 5 | 17 | | 6 | 2 | | 7 | 8 | | 8 | 2 | | 9 | 6 | | 10 | 10 | | 11 | 19 | | 12 | 13 | | 13 | 16 | | 14 | 7 | | 15 | 11 | | 16 | 10 | | 17 | 24 | | 18 | 30 | | 19 | 15 | | 20 | 6 | | 21 | 5 | | 22 | 8 | | 23 | 5 | | 24 | 8 | | 25 | 5 | | 26 | 16 | | 27 | 2 | | 28 | 14 | | 29 | 15 | | 30 | 13 | | 31 | 5 | | 32 | 1 | | 33 | 1 | | 34 | 4 | | 35 | 9 | | 36 | 4 | | 37 | 3 | | 38 | 13 | | 39 | 8 | | 40 | 8 | | 41 | 5 | | 42 | 3 | | 43 | 23 | | 44 | 10 | | 45 | 8 | | 46 | 8 | | 47 | 8 | | 48 | 4 | | 49 | 2 |
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| 49.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.34763948497854075 | | totalSentences | 233 | | uniqueOpeners | 81 | |
| 59.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 167 | | matches | | 0 | "Somewhere above, a train groaned" | | 1 | "Too narrow for a van." | | 2 | "Somewhere behind his voice, glasses" |
| | ratio | 0.018 | |
| 90.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 167 | | matches | | 0 | "Her boots struck hard." | | 1 | "Her coat snapped behind her." | | 2 | "He gave her a glance" | | 3 | "He shoved through a knot" | | 4 | "She watched his shoulders, not" | | 5 | "She had picked him up" | | 6 | "He had come out alone," | | 7 | "He had kept one hand" | | 8 | "He had taken the Tube" | | 9 | "He had checked reflections twice." | | 10 | "He darted into the road" | | 11 | "She left his outrage behind" | | 12 | "He hit a side street." | | 13 | "He snatched a bottle from" | | 14 | "It burst against the wall" | | 15 | "She never checked the sting." | | 16 | "She kept moving." | | 17 | "His foot punched through." | | 18 | "She closed the gap to" | | 19 | "He ripped free and ran" |
| | ratio | 0.323 | |
| 43.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 139 | | totalSentences | 167 | | matches | | 0 | "The man in the waxed" | | 1 | "Quinn broke after him before" | | 2 | "Rain sheeted off the awnings" | | 3 | "Her boots struck hard." | | 4 | "Her coat snapped behind her." | | 5 | "A bus dragged a wall" | | 6 | "He gave her a glance" | | 7 | "A canvas satchel banged against" | | 8 | "He shoved through a knot" | | 9 | "Quinn shouldered past the men" | | 10 | "She watched his shoulders, not" | | 11 | "Shoulders told the truth half" | | 12 | "She had picked him up" | | 13 | "He had come out alone," | | 14 | "He had kept one hand" | | 15 | "He had taken the Tube" | | 16 | "He had checked reflections twice." | | 17 | "He darted into the road" | | 18 | "Horns ripped through the rain." | | 19 | "Quinn followed, palm slamming off" |
| | ratio | 0.832 | |
| 29.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 167 | | matches | | | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 3 | | matches | | 0 | "She had picked him up outside the Raven’s Nest forty minutes earlier, under that green neon sign that painted the rain a sick colour." | | 1 | "She caught a flash of brass scales, a table lit by blue flame, a boy carrying a crate full of stoppered bottles that glowed in the cracks between his fingers." | | 2 | "Rain washed over the top step and stopped at the awning as if the night itself refused to go lower." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "he called, voice thick as gravel," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 49 | | tagDensity | 0.082 | | leniency | 0.163 | | rawRatio | 0.5 | | effectiveRatio | 0.082 | |