| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 472 | | 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) | |
| 15.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 472 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "footfall" | | 1 | "echo" | | 2 | "weight" | | 3 | "shimmered" | | 4 | "traced" | | 5 | "reminder" | | 6 | "pulse" | | 7 | "charged" |
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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 | 40 | | matches | (empty) | |
| 35.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 40 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 40 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 466 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 466 | | uniqueNames | 7 | | maxNameDensity | 1.5 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 7 | | Soho | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" |
| | places | | | globalScore | 0.749 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like bone" | | 1 | "quite name" | | 2 | "looked like preserved biological specimen" |
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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 | 466 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 89.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 31.07 | | std | 14.43 | | cv | 0.465 | | sampleLengths | | 0 | 53 | | 1 | 51 | | 2 | 37 | | 3 | 45 | | 4 | 27 | | 5 | 37 | | 6 | 35 | | 7 | 26 | | 8 | 27 | | 9 | 6 | | 10 | 46 | | 11 | 29 | | 12 | 28 | | 13 | 17 | | 14 | 2 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 40 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 77 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 40 | | ratio | 0.125 | | matches | | 0 | "Her target—a wiry figure in a dark windbreaker—was twenty meters ahead, moving with a desperation that suggested more than a routine chase." | | 1 | "Ever since Morris disappeared three years ago, she'd been collecting fragments—whispers about a network operating just beneath the city's mundane surface." | | 2 | "A small, pale object that caught the streetlight—looked like bone." | | 3 | "Her fingers traced the worn leather of her watch—a gift from Morris years ago." | | 4 | "Figures moved through the space—some human, some decidedly not." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 474 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.0379746835443038 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006329113924050633 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 40 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 40 | | mean | 11.65 | | std | 7.69 | | cv | 0.66 | | sampleLengths | | 0 | 13 | | 1 | 18 | | 2 | 22 | | 3 | 6 | | 4 | 23 | | 5 | 22 | | 6 | 7 | | 7 | 21 | | 8 | 6 | | 9 | 3 | | 10 | 15 | | 11 | 30 | | 12 | 12 | | 13 | 10 | | 14 | 5 | | 15 | 18 | | 16 | 19 | | 17 | 2 | | 18 | 4 | | 19 | 12 | | 20 | 9 | | 21 | 8 | | 22 | 3 | | 23 | 7 | | 24 | 6 | | 25 | 10 | | 26 | 14 | | 27 | 13 | | 28 | 4 | | 29 | 2 | | 30 | 19 | | 31 | 27 | | 32 | 9 | | 33 | 4 | | 34 | 5 | | 35 | 11 | | 36 | 28 | | 37 | 9 | | 38 | 8 | | 39 | 2 |
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| 82.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.525 | | totalSentences | 40 | | uniqueOpeners | 21 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 37 | | matches | | 0 | "Ever since Morris disappeared three" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 37 | | matches | | 0 | "Her target—a wiry figure in" | | 1 | "She'd been tracking this lead" | | 2 | "Her training screamed caution." | | 3 | "She'd seen references in her" | | 4 | "Her fingers traced the worn" | | 5 | "She took a breath." | | 6 | "Her suspect was already weaving" |
| | ratio | 0.189 | |
| 68.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 37 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots slapped" | | 2 | "Her target—a wiry figure in" | | 3 | "Quinn's breath came in controlled" | | 4 | "The suspect dodged left, then" | | 5 | "She'd been tracking this lead" | | 6 | "Tonight's chase was more than" | | 7 | "This was personal." | | 8 | "The suspect darted down a" | | 9 | "Quinn was close now, close" | | 10 | "A small, pale object that" | | 11 | "A token of some kind." | | 12 | "The entrance shimmered momentarily, like" | | 13 | "Her training screamed caution." | | 14 | "The bone token." | | 15 | "She'd seen references in her" | | 16 | "Something about underground markets, supernatural" | | 17 | "Places that existed in the" | | 18 | "Her fingers traced the worn" | | 19 | "The metal was cool against" |
| | ratio | 0.784 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 37 | | matches | | 0 | "Before Quinn could call out," |
| | ratio | 0.027 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn was close now, close enough to see the quick, nervous movements of his hands, the way he kept glancing back with a fear that wasn't just about being caugh…" | | 1 | "The door opened with a soft hiss, revealing a vast underground space that defied the cramped subway tunnel's dimensions." |
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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 | |