| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quickly [quickly]" | | 1 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 51 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.133 | | effectiveRatio | 0.078 | |
| 83.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "quickly" | | 2 | "sharply" | | 3 | "very" |
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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) | |
| 14.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1226 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "glinting" | | 1 | "shimmered" | | 2 | "measured" | | 3 | "gleaming" | | 4 | "apprehension" | | 5 | "flickered" | | 6 | "mosaic" | | 7 | "unsettled" | | 8 | "pulsed" | | 9 | "unraveling" | | 10 | "jaw clenched" | | 11 | "crystalline" | | 12 | "scanning" | | 13 | "wavered" | | 14 | "traced" | | 15 | "etched" | | 16 | "trembled" | | 17 | "whisper" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 15 | | markdownWords | 15 | | totalWords | 1212 | | ratio | 0.012 | | matches | | 0 | "this" | | 1 | "Market" | | 2 | "exposed" | | 3 | "texture" | | 4 | "translucent" | | 5 | "unraveling" | | 6 | "them" | | 7 | "detector" | | 8 | "elsewhen" | | 9 | "glowing" | | 10 | "Framed" | | 11 | "rippled" | | 12 | "wanted" | | 13 | "shivered" | | 14 | "opening" |
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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 | 42 | | wordCount | 754 | | uniqueNames | 5 | | maxNameDensity | 2.92 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 22 | | Kowalski | 1 | | Eva | 17 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.041 | | windowScore | 0 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "as if breathing and the air hummed faintly, like a radio tuned between stations" | | 1 | "as if clutching at air" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.825 | | wordCount | 1212 | | matches | | 0 | "not pointing north, but toward the arched tunnel ahead" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 18.65 | | std | 18.2 | | cv | 0.976 | | sampleLengths | | 0 | 98 | | 1 | 36 | | 2 | 14 | | 3 | 69 | | 4 | 19 | | 5 | 46 | | 6 | 13 | | 7 | 30 | | 8 | 3 | | 9 | 23 | | 10 | 7 | | 11 | 66 | | 12 | 4 | | 13 | 35 | | 14 | 11 | | 15 | 61 | | 16 | 6 | | 17 | 17 | | 18 | 1 | | 19 | 10 | | 20 | 4 | | 21 | 14 | | 22 | 31 | | 23 | 8 | | 24 | 22 | | 25 | 23 | | 26 | 22 | | 27 | 10 | | 28 | 39 | | 29 | 12 | | 30 | 21 | | 31 | 6 | | 32 | 17 | | 33 | 5 | | 34 | 25 | | 35 | 6 | | 36 | 5 | | 37 | 43 | | 38 | 8 | | 39 | 9 | | 40 | 4 | | 41 | 43 | | 42 | 6 | | 43 | 16 | | 44 | 2 | | 45 | 20 | | 46 | 26 | | 47 | 6 | | 48 | 15 | | 49 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 150 | | matches | | 0 | "was clawing" | | 1 | "was lying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 127 | | ratio | 0.087 | | matches | | 0 | "The air in the abandoned Tube station was thick with the scent of damp brick and something older—something that clung to the back of the throat like rust and ozone." | | 1 | "She adjusted the worn leather watch on her left wrist—a nervous tic she’d never admit to—and pulled her coat tighter around her." | | 2 | "Her green eyes were wide, gleaming with a mix of excitement and something else—apprehension, maybe." | | 3 | "\"I didn’t either,\" Eva admitted, tucking a lock of hair behind her left ear—the telltale gesture that meant she was lying to herself more than anyone else." | | 4 | "The deeper they went, the more the architecture twisted—tiles bulged as if breathing, and the air hummed faintly, like a radio tuned between stations." | | 5 | "Male, mid-thirties, wearing civilian clothes—a navy overcoat, leather gloves, one missing." | | 6 | "The skin along his arms and neck had a sheen to it, not waxy, not rotted—*translucent*." | | 7 | "Quinn examined the hand—fingers curled as if clutching at air." | | 8 | "There, beneath the edge of the mosaic—just where the man’s right hand had rested—was a depression." | | 9 | "And there, tucked between the pages—something that didn’t belong." | | 10 | "And somewhere in the dark, stone groaned—not from decay." |
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| 98.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 768 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.041666666666666664 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009114583333333334 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 9.54 | | std | 7.54 | | cv | 0.79 | | sampleLengths | | 0 | 30 | | 1 | 17 | | 2 | 21 | | 3 | 5 | | 4 | 25 | | 5 | 22 | | 6 | 6 | | 7 | 3 | | 8 | 5 | | 9 | 11 | | 10 | 3 | | 11 | 3 | | 12 | 30 | | 13 | 11 | | 14 | 10 | | 15 | 15 | | 16 | 9 | | 17 | 10 | | 18 | 27 | | 19 | 19 | | 20 | 4 | | 21 | 9 | | 22 | 6 | | 23 | 24 | | 24 | 2 | | 25 | 1 | | 26 | 7 | | 27 | 16 | | 28 | 4 | | 29 | 3 | | 30 | 11 | | 31 | 24 | | 32 | 31 | | 33 | 4 | | 34 | 17 | | 35 | 11 | | 36 | 2 | | 37 | 2 | | 38 | 3 | | 39 | 11 | | 40 | 19 | | 41 | 7 | | 42 | 6 | | 43 | 16 | | 44 | 13 | | 45 | 6 | | 46 | 4 | | 47 | 13 | | 48 | 1 | | 49 | 10 |
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| 58.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3779527559055118 | | totalSentences | 127 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 76 | | matches | | 0 | "Then they reached it." | | 1 | "Then she paused." | | 2 | "Then she paused." | | 3 | "Then, almost imperceptibly, the air" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 76 | | matches | | 0 | "Her breath came measured, steady." | | 1 | "She adjusted the worn leather" | | 2 | "It was deeper." | | 3 | "It seeped into the marrow." | | 4 | "She wore a satchel slung" | | 5 | "Her green eyes were wide," | | 6 | "They wound through a maze" | | 7 | "It was the *texture* of" | | 8 | "She lifted the left glove" | | 9 | "She traced her fingers over" | | 10 | "She reached into her coat" | | 11 | "They both stared into the" |
| | ratio | 0.158 | |
| 98.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 76 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped carefully" | | 2 | "The beam of her flashlight" | | 3 | "Her breath came measured, steady." | | 4 | "She adjusted the worn leather" | | 5 | "The cold here wasn’t just" | | 6 | "It was deeper." | | 7 | "It seeped into the marrow." | | 8 | "Quinn stopped, turned." | | 9 | "Eva Kowalski stepped out of" | | 10 | "She wore a satchel slung" | | 11 | "Her green eyes were wide," | | 12 | "Quinn said, voice low" | | 13 | "Eva admitted, tucking a lock" | | 14 | "Quinn glanced past her." | | 15 | "Eva said quickly" | | 16 | "Quinn started forward again." | | 17 | "They wound through a maze" | | 18 | "The deeper they went, the" | | 19 | "Signs of recent life flickered" |
| | ratio | 0.724 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "The air in the abandoned Tube station was thick with the scent of damp brick and something older—something that clung to the back of the throat like rust and oz…" | | 1 | "The beam of her flashlight cut a narrow path through the dark, glinting off puddles that shimmered with an unnatural iridescence." | | 2 | "The deeper they went, the more the architecture twisted—tiles bulged as if breathing, and the air hummed faintly, like a radio tuned between stations." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, voice low" | | 1 | "Quinn asked, voice tight" | | 2 | "Eva asked, though her voice wavered" |
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| 51.96% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 5 | | fancyTags | | 0 | "Eva admitted (admit)" | | 1 | "Eva explained (explain)" | | 2 | "Eva whispered (whisper)" | | 3 | "Quinn continued (continue)" | | 4 | "Quinn corrected (correct)" |
| | dialogueSentences | 51 | | tagDensity | 0.255 | | leniency | 0.51 | | rawRatio | 0.385 | | effectiveRatio | 0.196 | |