| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 46 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.056 | | effectiveRatio | 0.043 | |
| 88.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1260 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "slowly" | | 2 | "softly" |
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| 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) | |
| 36.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1260 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pulse" | | 1 | "flickered" | | 2 | "beacon" | | 3 | "scanning" | | 4 | "glint" | | 5 | "stomach" | | 6 | "weight" | | 7 | "silence" | | 8 | "familiar" | | 9 | "charm" | | 10 | "pulsed" | | 11 | "glistening" | | 12 | "trembled" | | 13 | "whisper" |
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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 | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 17 | | totalWords | 1252 | | ratio | 0.014 | | matches | | 0 | "Too obvious." | | 1 | "human" | | 2 | "invitation" | | 3 | "ask" | | 4 | "am" | | 5 | "facilitator" | | 6 | "services" | | 7 | "her" | | 8 | "changed" | | 9 | "enhanced" | | 10 | "power" | | 11 | "hum" | | 12 | "door" | | 13 | "rift" | | 14 | "them" | | 15 | "big" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 987 | | uniqueNames | 9 | | maxNameDensity | 1.62 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 2 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Silence | 1 | | Harlow | 16 | | Morris | 1 | | Herrera | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Market" | | 4 | "Harlow" | | 5 | "Morris" | | 6 | "Herrera" |
| | places | (empty) | | globalScore | 0.689 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1252 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 161 | | matches | | 0 | "knew that name" | | 1 | "know that posture" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 16.69 | | std | 15.78 | | cv | 0.946 | | sampleLengths | | 0 | 1 | | 1 | 59 | | 2 | 57 | | 3 | 41 | | 4 | 4 | | 5 | 47 | | 6 | 8 | | 7 | 3 | | 8 | 35 | | 9 | 5 | | 10 | 34 | | 11 | 9 | | 12 | 29 | | 13 | 37 | | 14 | 7 | | 15 | 17 | | 16 | 12 | | 17 | 15 | | 18 | 27 | | 19 | 17 | | 20 | 2 | | 21 | 32 | | 22 | 8 | | 23 | 23 | | 24 | 2 | | 25 | 39 | | 26 | 18 | | 27 | 12 | | 28 | 9 | | 29 | 3 | | 30 | 4 | | 31 | 1 | | 32 | 42 | | 33 | 85 | | 34 | 3 | | 35 | 34 | | 36 | 10 | | 37 | 17 | | 38 | 21 | | 39 | 18 | | 40 | 5 | | 41 | 28 | | 42 | 11 | | 43 | 18 | | 44 | 7 | | 45 | 20 | | 46 | 11 | | 47 | 12 | | 48 | 8 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 203 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 161 | | ratio | 0.043 | | matches | | 0 | "*Too obvious.* The bar’s green sign was a beacon, but her target wouldn’t go there—not with Quinn on his tail." | | 1 | "The scent of ozone and something metallic—copper, maybe—lingered in the air." | | 2 | "But this token—this *invitation*—wasn’t for the casual buyer." | | 3 | "She knew that tone—the kind of man who thought he could charm his way out of anything." | | 4 | "The air grew thick, heavy with the scent of damp stone and something older—something that made her skin prickle." | | 5 | "The way he held himself—like he owned the place." | | 6 | "Beyond it, something moved—something vast and hungry." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 998 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.033066132264529056 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006012024048096192 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 7.76 | | std | 4.71 | | cv | 0.607 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 19 | | 3 | 4 | | 4 | 14 | | 5 | 16 | | 6 | 20 | | 7 | 7 | | 8 | 7 | | 9 | 9 | | 10 | 11 | | 11 | 6 | | 12 | 6 | | 13 | 2 | | 14 | 4 | | 15 | 11 | | 16 | 4 | | 17 | 2 | | 18 | 7 | | 19 | 9 | | 20 | 2 | | 21 | 2 | | 22 | 10 | | 23 | 3 | | 24 | 5 | | 25 | 3 | | 26 | 12 | | 27 | 8 | | 28 | 9 | | 29 | 6 | | 30 | 5 | | 31 | 3 | | 32 | 4 | | 33 | 15 | | 34 | 8 | | 35 | 4 | | 36 | 1 | | 37 | 3 | | 38 | 5 | | 39 | 5 | | 40 | 7 | | 41 | 17 | | 42 | 16 | | 43 | 14 | | 44 | 7 | | 45 | 7 | | 46 | 11 | | 47 | 6 | | 48 | 3 | | 49 | 9 |
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| 42.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2670807453416149 | | totalSentences | 161 | | uniqueOpeners | 43 | |
| 84.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 119 | | matches | | 0 | "*Too obvious.* The bar’s green" | | 1 | "Then she saw it." | | 2 | "Then, a chuckle." |
| | ratio | 0.025 | |
| 72.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 119 | | matches | | 0 | "She cursed under her breath," | | 1 | "She exhaled sharply, scanning the" | | 2 | "Her stomach twisted." | | 3 | "She knew what this meant." | | 4 | "It was for someone who" | | 5 | "She didn’t need to." | | 6 | "she said, voice low" | | 7 | "She knew that tone—the kind" | | 8 | "She stood slowly, turning just" | | 9 | "His coat was expensive, the" | | 10 | "He pushed off the wall," | | 11 | "He held up his hands," | | 12 | "She took a step forward" | | 13 | "His smile didn’t waver." | | 14 | "She knew that name." | | 15 | "He tilted his head" | | 16 | "He grunted, stumbling back, but" | | 17 | "His grip was iron." | | 18 | "She twisted free, shoving him" | | 19 | "He laughed, blood flecking his" |
| | ratio | 0.37 | |
| 27.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 119 | | matches | | 0 | "The alley stank of wet" | | 1 | "Harlow Quinn’s breath fogged in" | | 2 | "Rain drummed against her coat," | | 3 | "The suspect had vanished." | | 4 | "She cursed under her breath," | | 5 | "The neon glow of The" | | 6 | "A scuff of shoe against" | | 7 | "Harlow spun, pistol raised, but" | | 8 | "The scent of ozone and" | | 9 | "She exhaled sharply, scanning the" | | 10 | "The suspect had to be" | | 11 | "A glint of bone, half-buried" | | 12 | "The shape was too deliberate," | | 13 | "Harlow crouched, brushing away the" | | 14 | "The kind of thing you" | | 15 | "Her stomach twisted." | | 16 | "She knew what this meant." | | 17 | "The Veil Market." | | 18 | "The underground black market moved" | | 19 | "It was for someone who" |
| | ratio | 0.866 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 119 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "The alley stank of wet concrete and something older, something that clung to the stones like a second skin." | | 1 | "Rain drummed against her coat, a relentless tattoo that drowned out everything but the sound of her own pulse." | | 2 | "His coat was expensive, the kind that repelled water like it was an insult." | | 3 | "The air grew thick, heavy with the scent of damp stone and something older—something that made her skin prickle." | | 4 | "Harlow stepped forward, her boots splashing through shallow puddles of something that wasn’t water." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice low" | | 1 | "Harlow said, voice flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "he hissed (hiss)" | | 1 | "he demanded (demand)" |
| | dialogueSentences | 46 | | tagDensity | 0.196 | | leniency | 0.391 | | rawRatio | 0.222 | | effectiveRatio | 0.087 | |