| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 84.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 960 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 960 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "practiced ease" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "scanned" | | 1 | "rhythmic" | | 2 | "echoed" | | 3 | "vibrated" | | 4 | "chaotic" | | 5 | "flickered" | | 6 | "dancing" | | 7 | "dance" | | 8 | "marble" | | 9 | "raced" | | 10 | "practiced ease" | | 11 | "navigated" | | 12 | "weight" | | 13 | "velvet" | | 14 | "depths" | | 15 | "gloom" |
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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 | 71 | | matches | (empty) | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 957 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 954 | | uniqueNames | 10 | | maxNameDensity | 0.84 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 8 | | Tube | 1 | | Camden | 1 | | London | 1 | | Underground | 1 | | Morris | 2 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Underground" | | 4 | "Morris" | | 5 | "Police" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "shadows that seemed to move independently of the objects casting them" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.135 | | wordCount | 957 | | matches | | 0 | "not running along the street, but diving toward a rusted service hatch tucked behind a dumpste" | | 1 | "not the sounds of a sewer or a basement, but the chaotic hum of a crowd" | | 2 | "not from a bullet, but from something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 62.98% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 39.88 | | std | 14.77 | | cv | 0.37 | | sampleLengths | | 0 | 49 | | 1 | 3 | | 2 | 73 | | 3 | 56 | | 4 | 22 | | 5 | 40 | | 6 | 35 | | 7 | 48 | | 8 | 40 | | 9 | 49 | | 10 | 25 | | 11 | 61 | | 12 | 43 | | 13 | 31 | | 14 | 34 | | 15 | 36 | | 16 | 52 | | 17 | 59 | | 18 | 44 | | 19 | 21 | | 20 | 35 | | 21 | 34 | | 22 | 26 | | 23 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 63.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 72 | | ratio | 0.028 | | matches | | 0 | "Faint, muffled sounds drifted through the grate—not the sounds of a sewer or a basement, but the chaotic hum of a crowd." | | 1 | "The suspect she had been chasing—a low-level informant with ties to the city's occult underground—moved through the crowd with practiced ease." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 2 | | stackExamples | | 0 | "heavy, ivory-colored object" | | 1 | "heavy, pressing against her" |
| | adverbCount | 17 | | adverbRatio | 0.017671517671517672 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010395010395010396 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 13.29 | | std | 6.66 | | cv | 0.501 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 16 | | 3 | 3 | | 4 | 10 | | 5 | 5 | | 6 | 23 | | 7 | 12 | | 8 | 23 | | 9 | 10 | | 10 | 13 | | 11 | 9 | | 12 | 11 | | 13 | 13 | | 14 | 9 | | 15 | 13 | | 16 | 19 | | 17 | 21 | | 18 | 13 | | 19 | 14 | | 20 | 8 | | 21 | 8 | | 22 | 22 | | 23 | 18 | | 24 | 11 | | 25 | 7 | | 26 | 6 | | 27 | 16 | | 28 | 16 | | 29 | 7 | | 30 | 13 | | 31 | 13 | | 32 | 7 | | 33 | 9 | | 34 | 9 | | 35 | 30 | | 36 | 10 | | 37 | 21 | | 38 | 10 | | 39 | 33 | | 40 | 19 | | 41 | 12 | | 42 | 19 | | 43 | 5 | | 44 | 5 | | 45 | 5 | | 46 | 9 | | 47 | 3 | | 48 | 8 | | 49 | 16 |
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| 31.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3055555555555556 | | totalSentences | 72 | | uniqueOpeners | 22 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | 0 | "Instead of a staircase, a" |
| | ratio | 0.014 | |
| 96.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 71 | | matches | | 0 | "He lunged across an intersection," | | 1 | "She pushed her stride, her" | | 2 | "Her military precision usually dictated" | | 3 | "She rounded a corner, her" | | 4 | "Her brown eyes scanned the" | | 5 | "He moved with a terrifying" | | 6 | "She knelt, pressing her ear" | | 7 | "She found the service entrance" | | 8 | "It groaned as she forced" | | 9 | "She reached the bottom of" | | 10 | "Her mind raced through the" | | 11 | "He didn't look back." | | 12 | "He navigated the labyrinth of" | | 13 | "She felt the weight of" | | 14 | "It meant stepping past the" | | 15 | "He reached into his pocket" | | 16 | "He pressed it into the" | | 17 | "She thought of Morris." | | 18 | "She thought of the way" | | 19 | "Her hand drifted to her" |
| | ratio | 0.31 | |
| 16.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 71 | | matches | | 0 | "Rain lashed against the pavement," | | 1 | "Detective Harlow Quinn gripped the" | | 2 | "The shout dissolved into the" | | 3 | "The suspect didn't even flinch." | | 4 | "He lunged across an intersection," | | 5 | "She pushed her stride, her" | | 6 | "Her military precision usually dictated" | | 7 | "She rounded a corner, her" | | 8 | "The scent of stale beer" | | 9 | "The suspect vanished behind a" | | 10 | "Quinn slowed, her hand sliding" | | 11 | "Her brown eyes scanned the" | | 12 | "A sudden, rhythmic thudding echoed" | | 13 | "The ground vibrated, a low-frequency" | | 14 | "The suspect reappeared, not running" | | 15 | "He moved with a terrifying" | | 16 | "Quinn lunged for the hatch," | | 17 | "The heavy metal door slammed" | | 18 | "A padlock clicked into place" | | 19 | "She knelt, pressing her ear" |
| | ratio | 0.887 | |
| 70.42% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 71 | | matches | | 0 | "To follow him meant descending" |
| | ratio | 0.014 | |
| 55.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 6 | | matches | | 0 | "He lunged across an intersection, his heavy boots splashing through a deep puddle that sent a spray of oily water against Quinn’s trousers." | | 1 | "The ground vibrated, a low-frequency tremor that rattled the teeth in her skull." | | 2 | "Eerie, violet lanterns hung from the ceiling, casting long, dancing shadows that seemed to move independently of the objects casting them." | | 3 | "Some wore heavy, hooded cloaks that obscured their features, while others moved with a grace that felt fundamentally wrong, their limbs slightly too long, their…" | | 4 | "She felt the weight of her badge, a piece of tin that felt increasingly useless in this subterranean bazaar." | | 5 | "The figure nodded, gesturing toward a dark tunnel that veered off from the main platform." |
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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 | |