| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "she asked sharply [sharply]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 57 | | tagDensity | 0.298 | | leniency | 0.596 | | rawRatio | 0.118 | | effectiveRatio | 0.07 | |
| 73.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1300 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "carefully" | | 1 | "tightly" | | 2 | "really" | | 3 | "sharply" | | 4 | "softly" | | 5 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 80.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1300 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flickered" | | 1 | "flicked" | | 2 | "etched" | | 3 | "intricate" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 91 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 20 | | markdownWords | 33 | | totalWords | 1285 | | ratio | 0.026 | | matches | | 0 | "wrong" | | 1 | "Platform 4" 4/1/2001, 12:00:00 AM | | 2 | "this" | | 3 | "wrongness" | | 4 | "was" | | 5 | "transmuted" | | 6 | "here" | | 7 | "“I saw the map, Harlow. They’re not closed. The old lines—they never shut.”" | | 8 | "Highly" | | 9 | "just" | | 10 | "place" | | 11 | "bent" | | 12 | "veiled" | | 13 | "something" | | 14 | "test" | | 15 | "placed" | | 16 | "message" | | 17 | "here" | | 18 | "now" | | 19 | "used" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 731 | | uniqueNames | 6 | | maxNameDensity | 2.46 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 18 | | Camden | 1 | | Eva | 15 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.269 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 1285 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 22.95 | | std | 21.51 | | cv | 0.937 | | sampleLengths | | 0 | 106 | | 1 | 34 | | 2 | 10 | | 3 | 60 | | 4 | 15 | | 5 | 10 | | 6 | 4 | | 7 | 20 | | 8 | 53 | | 9 | 4 | | 10 | 50 | | 11 | 19 | | 12 | 29 | | 13 | 4 | | 14 | 35 | | 15 | 15 | | 16 | 15 | | 17 | 30 | | 18 | 41 | | 19 | 5 | | 20 | 2 | | 21 | 1 | | 22 | 88 | | 23 | 5 | | 24 | 45 | | 25 | 9 | | 26 | 27 | | 27 | 5 | | 28 | 37 | | 29 | 17 | | 30 | 35 | | 31 | 5 | | 32 | 7 | | 33 | 43 | | 34 | 5 | | 35 | 6 | | 36 | 11 | | 37 | 12 | | 38 | 25 | | 39 | 3 | | 40 | 11 | | 41 | 44 | | 42 | 11 | | 43 | 3 | | 44 | 49 | | 45 | 10 | | 46 | 61 | | 47 | 22 | | 48 | 12 | | 49 | 15 |
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| 93.70% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 91 | | matches | | 0 | "was blistered" | | 1 | "was etched" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 128 | | ratio | 0.086 | | matches | | 0 | "The air in the abandoned Tube station tasted of damp iron and something older—something that clung to the back of the throat like moss on stone." | | 1 | "The architecture twisted just beyond perception—platforms that didn’t align, stairs that ended in brick walls, signs in languages that had no right to exist beneath Camden." | | 2 | "She stood with one hand clutching a bulging satchel, the other tucking a lock of hair behind her left ear—a nervous gesture." | | 3 | "No murder weapon meant no case—at least not one Quinn could take to the books." | | 4 | "She inhaled—no smell, not really." | | 5 | "The man’s right palm was blistered, not burned—*transmuted*, almost." | | 6 | "She reached into her coat, pulling out her notepad—the one she’d used for eighteen years, its pages thick with case files, names, dead ends." | | 7 | "Kneeling, Quinn pried it free—small, brass, tarnished with verdigris." | | 8 | "The gas lamps flickered again—and for a fraction of a second, she saw it." | | 9 | "A section of wall rippled like water, and something—tall, faceless—stood in silhouette before vanishing." | | 10 | "She recognized it—same mark Morris had sketched in his last report before he disappeared." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 743 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03768506056527591 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013458950201884253 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 10.04 | | std | 8.61 | | cv | 0.857 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 27 | | 3 | 6 | | 4 | 3 | | 5 | 26 | | 6 | 18 | | 7 | 12 | | 8 | 4 | | 9 | 8 | | 10 | 2 | | 11 | 2 | | 12 | 19 | | 13 | 17 | | 14 | 22 | | 15 | 6 | | 16 | 9 | | 17 | 3 | | 18 | 7 | | 19 | 4 | | 20 | 20 | | 21 | 10 | | 22 | 13 | | 23 | 3 | | 24 | 2 | | 25 | 15 | | 26 | 8 | | 27 | 2 | | 28 | 4 | | 29 | 10 | | 30 | 9 | | 31 | 18 | | 32 | 5 | | 33 | 8 | | 34 | 6 | | 35 | 13 | | 36 | 23 | | 37 | 6 | | 38 | 3 | | 39 | 1 | | 40 | 17 | | 41 | 18 | | 42 | 3 | | 43 | 12 | | 44 | 15 | | 45 | 3 | | 46 | 9 | | 47 | 12 | | 48 | 6 | | 49 | 2 |
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| 54.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3671875 | | totalSentences | 128 | | uniqueOpeners | 47 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "Just that *wrongness*, that taste" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 76 | | matches | | 0 | "Her breath fogged in the" | | 1 | "She adjusted the cuff of" | | 2 | "Her gut was screaming." | | 3 | "She stood with one hand" | | 4 | "It lay sprawled across the" | | 5 | "She inhaled—no smell, not really." | | 6 | "She swept her hand across" | | 7 | "She moved to the edge" | | 8 | "She reached into her coat," | | 9 | "He’d called her the night" | | 10 | "She never found his notebook." | | 11 | "she said, holding it up" | | 12 | "She stepped forward, then stopped," | | 13 | "It was cold." | | 14 | "It was gone." | | 15 | "she asked sharply" | | 16 | "She stopped at a pillar." | | 17 | "She recognized it—same mark Morris" | | 18 | "she said slowly" | | 19 | "She turned to Eva." |
| | ratio | 0.276 | |
| 58.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 76 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped carefully" | | 2 | "Her breath fogged in the" | | 3 | "This wasn’t just a decommissioned" | | 4 | "This was *wrong*." | | 5 | "The architecture twisted just beyond" | | 6 | "She adjusted the cuff of" | | 7 | "Her gut was screaming." | | 8 | "a voice called from the" | | 9 | "A woman stood beneath a" | | 10 | "She stood with one hand" | | 11 | "Quinn said, voice flat" | | 12 | "Eva stepped forward." | | 13 | "Eva’s green eyes flicked past" | | 14 | "It lay sprawled across the" | | 15 | "Quinn knelt beside the body," | | 16 | "The man’s face was slack," | | 17 | "A thin black residue coated" | | 18 | "She inhaled—no smell, not really." | | 19 | "Eva murmured, crouching a few" |
| | ratio | 0.803 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "Now, something glinted in the" |
| | ratio | 0.013 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "The air in the abandoned Tube station tasted of damp iron and something older—something that clung to the back of the throat like moss on stone." | | 1 | "Her breath fogged in the cold, and the faint, greasy glow of gas lanterns flickered against the tunnel walls, casting long shadows that twitched like live thing…" | | 2 | "The architecture twisted just beyond perception—platforms that didn’t align, stairs that ended in brick walls, signs in languages that had no right to exist ben…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, voice flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "Eva murmured (murmur)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 57 | | tagDensity | 0.175 | | leniency | 0.351 | | rawRatio | 0.2 | | effectiveRatio | 0.07 | |