| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1272 | | 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) | |
| 33.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1272 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "jaw clenched" | | 1 | "perfect" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "quickened" | | 5 | "gloom" | | 6 | "rhythmic" | | 7 | "flickered" | | 8 | "intricate" | | 9 | "scanned" | | 10 | "pulse" | | 11 | "glinting" | | 12 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 137 | | matches | (empty) | |
| 90.72% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 137 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 15 | | totalWords | 1266 | | ratio | 0.012 | | matches | | 0 | "QUINN WHERE ARE YOU BACKUP EN ROUTE YOUR SIGNAL DROPPED" | | 1 | "ARMED RESPONSE ETA 5 MINUTES" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.84% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1097 | | uniqueNames | 20 | | maxNameDensity | 1.82 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 20 | | Herrera | 10 | | Raven | 1 | | Nest | 1 | | Camden | 2 | | Blitz | 1 | | London | 2 | | Roman | 1 | | Morris | 4 | | Smithfield | 1 | | Victorian | 1 | | Eastern | 1 | | European | 1 | | Saint | 1 | | Christopher | 1 | | Spain | 1 | | Davies | 1 | | Five | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Camden" | | 5 | "Roman" | | 6 | "Morris" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Davies" |
| | places | | | globalScore | 0.588 | | windowScore | 0.667 | |
| 58.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like dried herbs" | | 1 | "necklace that seemed to pulse with its own light" | | 2 | "seemed older than his apparent age" |
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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 | 1266 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 19.48 | | std | 13.11 | | cv | 0.673 | | sampleLengths | | 0 | 36 | | 1 | 37 | | 2 | 3 | | 3 | 40 | | 4 | 35 | | 5 | 23 | | 6 | 33 | | 7 | 3 | | 8 | 39 | | 9 | 29 | | 10 | 4 | | 11 | 20 | | 12 | 44 | | 13 | 6 | | 14 | 42 | | 15 | 13 | | 16 | 42 | | 17 | 2 | | 18 | 5 | | 19 | 39 | | 20 | 22 | | 21 | 33 | | 22 | 32 | | 23 | 24 | | 24 | 43 | | 25 | 10 | | 26 | 47 | | 27 | 5 | | 28 | 35 | | 29 | 35 | | 30 | 3 | | 31 | 21 | | 32 | 17 | | 33 | 13 | | 34 | 11 | | 35 | 15 | | 36 | 13 | | 37 | 9 | | 38 | 26 | | 39 | 6 | | 40 | 32 | | 41 | 8 | | 42 | 2 | | 43 | 18 | | 44 | 19 | | 45 | 21 | | 46 | 10 | | 47 | 28 | | 48 | 13 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 137 | | matches | | |
| 94.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 190 | | matches | | 0 | "wasn't panicking" | | 1 | "was leading" | | 2 | "was addressing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 154 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1103 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.029918404351767906 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009066183136899365 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 8.22 | | std | 5 | | cv | 0.608 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 18 | | 3 | 19 | | 4 | 3 | | 5 | 4 | | 6 | 15 | | 7 | 2 | | 8 | 9 | | 9 | 10 | | 10 | 14 | | 11 | 13 | | 12 | 3 | | 13 | 5 | | 14 | 15 | | 15 | 4 | | 16 | 4 | | 17 | 10 | | 18 | 5 | | 19 | 13 | | 20 | 5 | | 21 | 3 | | 22 | 10 | | 23 | 2 | | 24 | 17 | | 25 | 10 | | 26 | 6 | | 27 | 11 | | 28 | 12 | | 29 | 4 | | 30 | 3 | | 31 | 7 | | 32 | 7 | | 33 | 3 | | 34 | 11 | | 35 | 5 | | 36 | 9 | | 37 | 19 | | 38 | 6 | | 39 | 5 | | 40 | 23 | | 41 | 11 | | 42 | 2 | | 43 | 1 | | 44 | 3 | | 45 | 10 | | 46 | 5 | | 47 | 16 | | 48 | 5 | | 49 | 6 |
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| 68.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.45454545454545453 | | totalSentences | 154 | | uniqueOpeners | 70 | |
| 80.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 125 | | matches | | 0 | "Always one step ahead, always" | | 1 | "Then the footsteps stopped." | | 2 | "Probably already at the alley" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 125 | | matches | | 0 | "Her suspect darted between the" | | 1 | "Her worn leather watch caught" | | 2 | "He was leading her somewhere." | | 3 | "It was an invitation." | | 4 | "She followed anyway." | | 5 | "She pulled out her torch," | | 6 | "She thought of DS Morris." | | 7 | "Her torch beam revealed tool" | | 8 | "She crept forward, using the" | | 9 | "She scanned the crowd for" | | 10 | "He was deep in conversation" | | 11 | "She ignored him, focused on" | | 12 | "His accent carried the warm" | | 13 | "His voice carried an authority" | | 14 | "His face was angular, almost" | | 15 | "Her phone buzzed." | | 16 | "Her current partner." | | 17 | "Her phone buzzed again." |
| | ratio | 0.144 | |
| 64.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 125 | | matches | | 0 | "The rain turned the pavement" | | 1 | "Detective Harlow Quinn's worn leather" | | 2 | "Her suspect darted between the" | | 3 | "Quinn's sharp jaw clenched as" | | 4 | "The figure didn't slow." | | 5 | "Quinn caught a glimpse of" | | 6 | "The unlicensed medic she'd been" | | 7 | "Her worn leather watch caught" | | 8 | "Herrera wasn't panicking." | | 9 | "He was leading her somewhere." | | 10 | "The realisation struck as they" | | 11 | "This wasn't a chase." | | 12 | "It was an invitation." | | 13 | "Herrera ducked left into the" | | 14 | "Quinn hesitated for a heartbeat." | | 15 | "The alley led to the" | | 16 | "She followed anyway." | | 17 | "The alley reeked of stale" | | 18 | "Quinn's hand moved instinctively to" | | 19 | "The old brick walls played" |
| | ratio | 0.792 | |
| 40.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 125 | | matches | | 0 | "Even in the candlelight, she" |
| | ratio | 0.008 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "The torch beam revealed a tunnel sloping downward, carved from the same London clay that had swallowed Roman settlements and plague victims alike." | | 1 | "And underneath it all, a rhythmic chanting that raised the hairs on her neck." | | 2 | "His voice carried an authority that made the nearby conversations quiet." | | 3 | "His face was angular, almost aristocratic, with eyes that seemed older than his apparent age." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "the man continued (continue)" |
| | dialogueSentences | 24 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.5 | | effectiveRatio | 0.083 | |