| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said softly [softly]" |
| | dialogueSentences | 31 | | tagDensity | 0.484 | | leniency | 0.968 | | rawRatio | 0.067 | | effectiveRatio | 0.065 | |
| 78.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1391 | | totalAiIsmAdverbs | 6 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "very" | | 2 | "slowly" | | 3 | "softly" | | 4 | "sharply" | | 5 | "quickly" |
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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) | |
| 31.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1391 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "shattered" | | 1 | "sentinels" | | 2 | "etched" | | 3 | "jaw clenched" | | 4 | "traced" | | 5 | "fractured" | | 6 | "flickered" | | 7 | "whisper" | | 8 | "weight" | | 9 | "could feel" | | 10 | "flicked" | | 11 | "scanning" | | 12 | "efficient" | | 13 | "quivered" | | 14 | "pulse" | | 15 | "echoed" | | 16 | "chill" |
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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 | 100 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1380 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 937 | | uniqueNames | 9 | | maxNameDensity | 2.03 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 19 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Kowalski | 1 | | Eva | 16 | | Latin | 1 | | Do | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.486 | | windowScore | 0.5 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "something like ozone and burnt sulfur" | | 1 | "as though complaining at this intrusion" |
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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 | 1380 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 47.59 | | std | 27.23 | | cv | 0.572 | | sampleLengths | | 0 | 116 | | 1 | 93 | | 2 | 92 | | 3 | 57 | | 4 | 10 | | 5 | 41 | | 6 | 35 | | 7 | 8 | | 8 | 60 | | 9 | 51 | | 10 | 36 | | 11 | 44 | | 12 | 50 | | 13 | 75 | | 14 | 29 | | 15 | 68 | | 16 | 22 | | 17 | 84 | | 18 | 6 | | 19 | 71 | | 20 | 36 | | 21 | 9 | | 22 | 55 | | 23 | 45 | | 24 | 30 | | 25 | 49 | | 26 | 51 | | 27 | 10 | | 28 | 47 |
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| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 100 | | matches | | 0 | "been found" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 116 | | ratio | 0.052 | | matches | | 0 | "At her feet, shards of shattered advertising posters whispered of a time before the station went dark—before it became the Veil Market’s latest refuge." | | 1 | "She checked her watch—worn leather strap snug against her wrist, its face catching a sliver of yellow light." | | 2 | "The victim’s clothes were ordinary—jeans, a dark jacket—but the way the bones seemed to shift beneath the skin made her pause." | | 3 | "She had never understood what happened to him—only that he’d been found in a ruined house, eyes wide as though he’d seen something that belonged to another realm." | | 4 | "“You said you’d see this for what it is, Harlow. The chalk is mixed with powdered bone—animal, I think. Very old. The lines themselves have been etched into the dust; they were drawn after the body was placed there. Someone was performing a ritual with the corpse as the focal point.”" | | 5 | "The detective’s thoughts pinned themselves to that scent again—something like ozone and burnt sulfur." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 827 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slim leather-bound notebook." |
| | adverbCount | 20 | | adverbRatio | 0.02418379685610641 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006045949214026602 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 11.9 | | std | 9.29 | | cv | 0.781 | | sampleLengths | | 0 | 21 | | 1 | 12 | | 2 | 24 | | 3 | 14 | | 4 | 18 | | 5 | 16 | | 6 | 11 | | 7 | 11 | | 8 | 22 | | 9 | 9 | | 10 | 21 | | 11 | 8 | | 12 | 5 | | 13 | 17 | | 14 | 7 | | 15 | 3 | | 16 | 11 | | 17 | 15 | | 18 | 12 | | 19 | 28 | | 20 | 5 | | 21 | 11 | | 22 | 7 | | 23 | 13 | | 24 | 24 | | 25 | 13 | | 26 | 10 | | 27 | 4 | | 28 | 9 | | 29 | 7 | | 30 | 21 | | 31 | 9 | | 32 | 26 | | 33 | 4 | | 34 | 4 | | 35 | 9 | | 36 | 51 | | 37 | 4 | | 38 | 7 | | 39 | 14 | | 40 | 8 | | 41 | 18 | | 42 | 6 | | 43 | 30 | | 44 | 2 | | 45 | 11 | | 46 | 8 | | 47 | 14 | | 48 | 9 | | 49 | 10 |
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| 56.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3620689655172414 | | totalSentences | 116 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 88 | | matches | | 0 | "Just an absence: a body" | | 1 | "Then opened them." | | 2 | "Somewhere deep in the darkness," |
| | ratio | 0.034 | |
| 79.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 88 | | matches | | 0 | "She inhaled, tasting damp stone" | | 1 | "She checked her watch—worn leather" | | 2 | "They weren’t graffiti." | | 3 | "She had never understood what" | | 4 | "She had called it something" | | 5 | "She rose and stood, arms" | | 6 | "She let Eva scan the" | | 7 | "Her boots scraped grit from" | | 8 | "She studied the body again:" | | 9 | "She reached out with her" | | 10 | "She unbuckled her satchel and" | | 11 | "She recognized it, even if" | | 12 | "She held out a gloved" | | 13 | "She set the notebook on" | | 14 | "She lined her gaze up" | | 15 | "She swept her gaze back" | | 16 | "She rubbed her chin, feeling" | | 17 | "Her leather watch ticked." | | 18 | "She removed her glove, fast" | | 19 | "She flexed the hand." |
| | ratio | 0.352 | |
| 39.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 88 | | matches | | 0 | "Detective Harlow Quinn stood at" | | 1 | "She inhaled, tasting damp stone" | | 2 | "She checked her watch—worn leather" | | 3 | "The tape said but she" | | 4 | "Protocol be damned: she needed" | | 5 | "Quinn crouched, her sharp jaw" | | 6 | "The victim’s clothes were ordinary—jeans," | | 7 | "They weren’t graffiti." | | 8 | "Someone had traced them with" | | 9 | "The lines spiraled into a" | | 10 | "Quinn’s mind flickered back three" | | 11 | "She had never understood what" | | 12 | "The pathologist called it shock." | | 13 | "She had called it something" | | 14 | "A soft clack announced her" | | 15 | "Eva Kowalski stepped into the" | | 16 | "Quinn noted the round glasses" | | 17 | "Eva said, voice low, throat" | | 18 | "Quinn didn’t answer immediately." | | 19 | "She rose and stood, arms" |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "She had never understood what happened to him—only that he’d been found in a ruined house, eyes wide as though he’d seen something that belonged to another real…" | | 1 | "She reached out with her free hand, fingertips hovering as though she could feel something in the air." | | 2 | "A single rusted beam groaned overhead, as though complaining at this intrusion." | | 3 | "The stench grew stronger with every step: ozone, sulfur, something under it that tasted of old smoke and long-buried fear." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, voice low, throat tight" | | 1 | "Eva said, voice barely above a whisper" |
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| 53.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she murmured (murmur)" | | 2 | "Quinn ordered (order)" |
| | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.333 | | effectiveRatio | 0.194 | |