| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1113 | | 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) | |
| 73.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1113 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "shattered" | | 1 | "silence" | | 2 | "practiced ease" | | 3 | "anticipation" | | 4 | "calculated" | | 5 | "footsteps" |
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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 | 1 | | narrationSentences | 98 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 19 | | totalWords | 1113 | | ratio | 0.017 | | matches | | 0 | "Pace yourself, Quinn. A chase isn't a sprint." | | 1 | "Morris would've told me to back off. Call for backup. Regroup." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 884 | | uniqueNames | 12 | | maxNameDensity | 1.36 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Charing | 1 | | Cross | 1 | | Road | 1 | | Denmark | 1 | | Street | 1 | | Morris | 5 | | Quinn | 12 | | Camden | 1 | | North | 1 | | London | 1 | | Victorian | 1 | | Tube | 1 |
| | persons | | | places | | 0 | "Charing" | | 1 | "Cross" | | 2 | "Road" | | 3 | "Denmark" | | 4 | "Street" | | 5 | "Camden" | | 6 | "North" | | 7 | "London" | | 8 | "Victorian" |
| | globalScore | 0.821 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like fifty feet, lit by the fainte" | | 1 | "as if explaining something to a child" |
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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 | 1113 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 22.26 | | std | 17.99 | | cv | 0.808 | | sampleLengths | | 0 | 51 | | 1 | 2 | | 2 | 6 | | 3 | 66 | | 4 | 9 | | 5 | 61 | | 6 | 33 | | 7 | 20 | | 8 | 19 | | 9 | 56 | | 10 | 7 | | 11 | 1 | | 12 | 43 | | 13 | 2 | | 14 | 28 | | 15 | 61 | | 16 | 22 | | 17 | 41 | | 18 | 5 | | 19 | 18 | | 20 | 4 | | 21 | 7 | | 22 | 19 | | 23 | 33 | | 24 | 26 | | 25 | 11 | | 26 | 55 | | 27 | 31 | | 28 | 13 | | 29 | 11 | | 30 | 10 | | 31 | 35 | | 32 | 5 | | 33 | 20 | | 34 | 28 | | 35 | 42 | | 36 | 11 | | 37 | 26 | | 38 | 7 | | 39 | 9 | | 40 | 14 | | 41 | 3 | | 42 | 39 | | 43 | 19 | | 44 | 6 | | 45 | 4 | | 46 | 43 | | 47 | 19 | | 48 | 9 | | 49 | 3 |
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| 80.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 98 | | matches | | 0 | "was gone" | | 1 | "been, stretched" | | 2 | "being tilted" | | 3 | "being said" | | 4 | "being smiled" | | 5 | "been filed" | | 6 | "being replied" | | 7 | "being called" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 151 | | matches | | 0 | "was heading" | | 1 | "was already vanishing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 886 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.028216704288939052 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004514672686230248 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 10.02 | | std | 7.92 | | cv | 0.79 | | sampleLengths | | 0 | 17 | | 1 | 11 | | 2 | 1 | | 3 | 7 | | 4 | 15 | | 5 | 2 | | 6 | 3 | | 7 | 3 | | 8 | 10 | | 9 | 14 | | 10 | 15 | | 11 | 19 | | 12 | 3 | | 13 | 5 | | 14 | 6 | | 15 | 3 | | 16 | 13 | | 17 | 4 | | 18 | 4 | | 19 | 14 | | 20 | 6 | | 21 | 9 | | 22 | 11 | | 23 | 21 | | 24 | 12 | | 25 | 2 | | 26 | 3 | | 27 | 15 | | 28 | 4 | | 29 | 5 | | 30 | 10 | | 31 | 7 | | 32 | 1 | | 33 | 15 | | 34 | 11 | | 35 | 22 | | 36 | 4 | | 37 | 3 | | 38 | 7 | | 39 | 20 | | 40 | 16 | | 41 | 2 | | 42 | 14 | | 43 | 14 | | 44 | 14 | | 45 | 16 | | 46 | 31 | | 47 | 3 | | 48 | 13 | | 49 | 3 |
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| 78.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4864864864864865 | | totalSentences | 111 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 86 | | matches | | 0 | "She registered the sting, filed" | | 1 | "He didn't stop." | | 2 | "They never did." | | 3 | "He was heading north, towards" | | 4 | "She knew these streets, the" | | 5 | "She reached the end of" | | 6 | "She pulled her radio." | | 7 | "She pressed her back against" | | 8 | "Her suspect was gone." | | 9 | "Her hand moved to her" | | 10 | "She had not unclipped it" | | 11 | "She stepped into the market." | | 12 | "it repeated, as if explaining" | | 13 | "Her suspect had reached the" | | 14 | "she said, pulling out her" | | 15 | "It leaned closer" | | 16 | "She calculated distances, threats, the" | | 17 | "Her suspect had stopped running." | | 18 | "He stood at the entrance" | | 19 | "She hadn't mentioned Morris." |
| | ratio | 0.256 | |
| 64.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 86 | | matches | | 0 | "The suspect vaulted the metal" | | 1 | "Quinn followed, her shoulder clipping" | | 2 | "She registered the sting, filed" | | 3 | "Focus narrowed to the man" | | 4 | "He didn't stop." | | 5 | "They never did." | | 6 | "A taxi horn blared as" | | 7 | "The guitar shop windows reflected" | | 8 | "Quinn's lungs burned with the" | | 9 | "*Pace yourself, Quinn." | | 10 | "A chase isn't a sprint.*" | | 11 | "Morris had been dead three" | | 12 | "The voice persisted." | | 13 | "The suspect ducked left into" | | 14 | "Wheelie bins blurred past." | | 15 | "Something glass shattered underfoot." | | 16 | "The stench of old cooking" | | 17 | "He was heading north, towards" | | 18 | "She knew these streets, the" | | 19 | "She reached the end of" |
| | ratio | 0.791 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | 0 | "Even at this distance, she" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Many of them, a low murmur that shouldn't exist beneath this patch of North London." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "it repeated, as if explaining something to a child" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 20 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.25 | | effectiveRatio | 0.1 | |