| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 437 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 437 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "calculated" | | 1 | "intensity" | | 2 | "potential" | | 3 | "standard" | | 4 | "weight" | | 5 | "sense of" | | 6 | "pulse" |
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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 | 39 | | matches | (empty) | |
| 32.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 39 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 39 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 428 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 428 | | uniqueNames | 6 | | maxNameDensity | 2.1 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 9 | | Morris | 1 | | Camden | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | | globalScore | 0.449 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 428 | | matches | (empty) | |
| 81.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 39 | | matches | | 0 | "whispered that something" |
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| 68.25% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 35.67 | | std | 13.87 | | cv | 0.389 | | sampleLengths | | 0 | 47 | | 1 | 60 | | 2 | 48 | | 3 | 36 | | 4 | 38 | | 5 | 46 | | 6 | 27 | | 7 | 39 | | 8 | 29 | | 9 | 35 | | 10 | 8 | | 11 | 15 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 39 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 73 | | matches | | 0 | "were moving" | | 1 | "was seeing" | | 2 | "was happening" | | 3 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 39 | | ratio | 0.154 | | matches | | 0 | "Her target—a thin figure in a dark hoodie—was fifty yards ahead, moving with a desperate, fluid grace." | | 1 | "The leather watch on her left wrist—a gift from her old partner Morris before he died—tracked each passing second of the chase." | | 2 | "The way the suspect moved suggested more than simple criminality—there was a purposeful intensity that set her nerves on edge." | | 3 | "Quinn saw a flash of movement—a hand sliding against a hidden panel, a section of wall seeming to shimmer and dissolve." | | 4 | "Quinn recognized it from scattered case files—rumors of an underground market that moved with the phases of the moon." | | 5 | "Eighteen years of hunting down what others couldn't—or wouldn't—see had brought her to this moment." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 440 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.02727272727272727 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011363636363636364 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 39 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 39 | | mean | 10.97 | | std | 5.66 | | cv | 0.516 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 17 | | 3 | 6 | | 4 | 18 | | 5 | 14 | | 6 | 22 | | 7 | 10 | | 8 | 7 | | 9 | 6 | | 10 | 5 | | 11 | 20 | | 12 | 12 | | 13 | 12 | | 14 | 12 | | 15 | 3 | | 16 | 1 | | 17 | 17 | | 18 | 17 | | 19 | 13 | | 20 | 21 | | 21 | 12 | | 22 | 2 | | 23 | 4 | | 24 | 8 | | 25 | 13 | | 26 | 12 | | 27 | 19 | | 28 | 8 | | 29 | 14 | | 30 | 5 | | 31 | 10 | | 32 | 15 | | 33 | 5 | | 34 | 15 | | 35 | 6 | | 36 | 2 | | 37 | 10 | | 38 | 5 |
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| 74.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.46153846153846156 | | totalSentences | 39 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 36 | | matches | | 0 | "Her target—a thin figure in" | | 1 | "Her salt-and-pepper hair was plastered" | | 2 | "They were moving deeper into" | | 3 | "Her instincts, honed by years" | | 4 | "Her training screamed caution." | | 5 | "She touched the holster at" |
| | ratio | 0.167 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 36 | | matches | | 0 | "The rain slashed sideways, turning" | | 1 | "Detective Harlow Quinn's boots splashed" | | 2 | "Her target—a thin figure in" | | 3 | "Quinn's breath came in controlled" | | 4 | "Her salt-and-pepper hair was plastered" | | 5 | "The leather watch on her" | | 6 | "The suspect darted left, cutting" | | 7 | "Quinn followed, her movement precise" | | 8 | "Something about this pursuit felt" | | 9 | "The way the suspect moved" | | 10 | "They were moving deeper into" | | 11 | "Shadowy warehouses and abandoned storefronts" | | 12 | "Quinn knew these streets, but" | | 13 | "A sharp turn." | | 14 | "The figure ahead moved with" | | 15 | "Her instincts, honed by years" | | 16 | "The suspect suddenly veered toward" | | 17 | "Quinn saw a flash of" | | 18 | "Her training screamed caution." | | 19 | "Whatever was happening here was" |
| | ratio | 0.806 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 36 | | matches | | 0 | "Before she could process what" |
| | ratio | 0.028 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "The way the suspect moved suggested more than simple criminality—there was a purposeful intensity that set her nerves on edge." | | 1 | "Quinn recognized it from scattered case files—rumors of an underground market that moved with the phases of the moon." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |