| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1296 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
| | 5 | |
| | highlights | | 0 | "carefully" | | 1 | "completely" | | 2 | "very" | | 3 | "slowly" | | 4 | "deliberately" | | 5 | "utterly" |
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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 | 1296 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "glint" | | 1 | "dance" | | 2 | "flicker" | | 3 | "scanned" | | 4 | "etched" | | 5 | "echoed" | | 6 | "silence" | | 7 | "oppressive" | | 8 | "echo" | | 9 | "footsteps" | | 10 | "gloom" | | 11 | "palpable" | | 12 | "vibrated" | | 13 | "potential" | | 14 | "navigating" | | 15 | "kaleidoscope" | | 16 | "imposing" | | 17 | "weight" | | 18 | "familiar" | | 19 | "stomach" | | 20 | "churn" |
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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 | 112 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 112 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1279 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1224 | | uniqueNames | 15 | | maxNameDensity | 0.82 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Soho | 1 | | Poland | 1 | | Street | 1 | | Pointed | 1 | | Crest | 1 | | Sig | 1 | | Sauer | 1 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Silas | 2 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sauer" | | 3 | "Silas" | | 4 | "Raven" |
| | places | | 0 | "Soho" | | 1 | "Poland" | | 2 | "Street" | | 3 | "Sig" | | 4 | "Metropolitan" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 1 | | matches | | 0 | "rumble that seemed to vibrate through the very foundations of the cavern" |
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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 | 1279 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 30.45 | | std | 17.18 | | cv | 0.564 | | sampleLengths | | 0 | 48 | | 1 | 2 | | 2 | 59 | | 3 | 64 | | 4 | 31 | | 5 | 30 | | 6 | 46 | | 7 | 14 | | 8 | 7 | | 9 | 36 | | 10 | 42 | | 11 | 4 | | 12 | 38 | | 13 | 32 | | 14 | 21 | | 15 | 16 | | 16 | 15 | | 17 | 4 | | 18 | 52 | | 19 | 45 | | 20 | 32 | | 21 | 3 | | 22 | 58 | | 23 | 38 | | 24 | 37 | | 25 | 36 | | 26 | 40 | | 27 | 25 | | 28 | 15 | | 29 | 9 | | 30 | 63 | | 31 | 47 | | 32 | 29 | | 33 | 28 | | 34 | 31 | | 35 | 33 | | 36 | 13 | | 37 | 5 | | 38 | 43 | | 39 | 28 | | 40 | 46 | | 41 | 14 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 112 | | matches | | 0 | "were bought" | | 1 | "was obscured" |
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| 7.69% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 208 | | matches | | 0 | "wasn't running" | | 1 | "was fleeing, was leading" | | 2 | "were overwhelming" | | 3 | "was speaking" | | 4 | "were talking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 118 | | ratio | 0.119 | | matches | | 0 | "Eighteen years on the force hadn't prepared her for this particular dance—the frantic, raw energy of someone who knew they were already halfway to nowhere." | | 1 | "Just kept moving—a flicker of movement, a suggestion of progress, disappearing around another corner." | | 2 | "There, etched into the metal, barely visible beneath layers of grime, was a symbol—a stylized raven with outstretched wings, encircled by a serpent." | | 3 | "The silence was oppressive—broken only by the echo of her own footsteps and the steady drip, drip, drip of the water." | | 4 | "The tunnel opened into a vast cavern—a subterranean space that defied logic." | | 5 | "The air buzzed with a strange energy—a palpable hum that vibrated in her teeth." | | 6 | "People—or things that resembled people—moved through the throng, their faces hidden by masks and hoods." | | 7 | "The smells were overwhelming—a pungent mix of incense, exotic spices, and something else…" | | 8 | "The market was a kaleidoscope of the bizarre and the forbidden – bioluminescent fungi displayed alongside antique weaponry, caged creatures with too many eyes alongside vendors hawking elixirs and charms." | | 9 | "He was speaking to someone—a tall, imposing figure shrouded in a black cloak." | | 10 | "The figure’s face was obscured by a deep hood, but Quinn could sense the weight of his presence—an aura of power and authority." | | 11 | "She strained to hear their words, but the market noise—the chatter, the bartering, the strange music—swallowed them whole." | | 12 | "To follow him was to step into the unknown—to abandon any semblance of control." | | 13 | "A cluster of men down the long corridor were talking in low voices - each masked." |
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| 73.38% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 33 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.06060606060606061 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.030303030303030304 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 10.84 | | std | 6.07 | | cv | 0.56 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 17 | | 3 | 2 | | 4 | 19 | | 5 | 25 | | 6 | 15 | | 7 | 21 | | 8 | 7 | | 9 | 20 | | 10 | 16 | | 11 | 13 | | 12 | 4 | | 13 | 14 | | 14 | 7 | | 15 | 4 | | 16 | 16 | | 17 | 3 | | 18 | 20 | | 19 | 4 | | 20 | 4 | | 21 | 17 | | 22 | 1 | | 23 | 4 | | 24 | 10 | | 25 | 1 | | 26 | 6 | | 27 | 7 | | 28 | 12 | | 29 | 14 | | 30 | 1 | | 31 | 2 | | 32 | 7 | | 33 | 23 | | 34 | 6 | | 35 | 2 | | 36 | 4 | | 37 | 4 | | 38 | 12 | | 39 | 6 | | 40 | 5 | | 41 | 7 | | 42 | 8 | | 43 | 12 | | 44 | 11 | | 45 | 9 | | 46 | 5 | | 47 | 8 | | 48 | 8 | | 49 | 2 |
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| 40.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3220338983050847 | | totalSentences | 118 | | uniqueOpeners | 38 | |
| 97.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 103 | | matches | | 0 | "Just kept moving—a flicker of" | | 1 | "Somewhere carefully chosen." | | 2 | "Then, the cloaked figure gestured" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 103 | | matches | | 0 | "He wasn't running fast, not" | | 1 | "He ducked into a shadowed" | | 2 | "she called out, her voice" | | 3 | "He didn’t acknowledge her." | | 4 | "It was about misdirection." | | 5 | "He wanted her to think" | | 6 | "She rounded the corner, finding" | | 7 | "She scanned the faces in" | | 8 | "She checked her radio." | | 9 | "It was old, its iron" | | 10 | "She knelt, shoving aside the" | | 11 | "He’d led her here." | | 12 | "Her hand instinctively went to" | | 13 | "She had no idea what" | | 14 | "she mutted to herself, checking" | | 15 | "She began to descend." | | 16 | "It was impossibly large, the" | | 17 | "She scanned the crowd, her" | | 18 | "He looked over his shoulder," | | 19 | "It was him." |
| | ratio | 0.291 | |
| 23.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 103 | | matches | | 0 | "The glint of rain on" | | 1 | "He wasn't running fast, not" | | 2 | "Detective Harlow Quinn cursed under" | | 3 | "He ducked into a shadowed" | | 4 | "Quinn followed, boots slapping against" | | 5 | "The alley opened onto a" | | 6 | "The suspect, a lean man" | | 7 | "she called out, her voice" | | 8 | "He didn’t acknowledge her." | | 9 | "The chase wasn’t about speed," | | 10 | "It was about misdirection." | | 11 | "He wanted her to think" | | 12 | "She rounded the corner, finding" | | 13 | "Frustration tightened her jaw." | | 14 | "She scanned the faces in" | | 15 | "She checked her radio." | | 16 | "The signal was weak down" | | 17 | "A glint of metal caught" | | 18 | "A grate, almost completely hidden" | | 19 | "It was old, its iron" |
| | ratio | 0.874 | |
| 97.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 103 | | matches | | 0 | "To follow him was to" | | 1 | "To let him slip away." |
| | ratio | 0.019 | |
| 97.51% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 4 | | matches | | 0 | "Eighteen years on the force hadn't prepared her for this particular dance—the frantic, raw energy of someone who knew they were already halfway to nowhere." | | 1 | "People—or things that resembled people—moved through the throng, their faces hidden by masks and hoods." | | 2 | "He moved with an unnatural grace, weaving through the throng as if he were part of the shadows themselves." | | 3 | "A face that belonged to Silas, owner and proprietor of The Raven's Nest." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas continued, a cruel smile spreading across his face" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "Silas continued (continue)" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.667 | | effectiveRatio | 0.444 | |