| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1703 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 29.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1703 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "echoed" | | 1 | "gloom" | | 2 | "tracing" | | 3 | "flicked" | | 4 | "traced" | | 5 | "quivered" | | 6 | "mosaic" | | 7 | "shimmered" | | 8 | "dancing" | | 9 | "etched" | | 10 | "trembled" | | 11 | "silence" | | 12 | "wavered" | | 13 | "echo" | | 14 | "pulse" | | 15 | "echoes" |
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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 | 139 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 139 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1683 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1264 | | uniqueNames | 8 | | maxNameDensity | 1.58 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Sergeant | 1 | | West | 15 | | Eva | 14 | | Kowalski | 1 | | Morris | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "West" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Morris" | | 7 | "Tube" |
| | places | (empty) | | globalScore | 0.709 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.594 | | wordCount | 1683 | | matches | | 0 | "not a slasher’s blade but a backlash of transdimensional pressure, collapsing inward" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 159 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 44.29 | | std | 24.74 | | cv | 0.559 | | sampleLengths | | 0 | 86 | | 1 | 84 | | 2 | 62 | | 3 | 63 | | 4 | 6 | | 5 | 70 | | 6 | 19 | | 7 | 63 | | 8 | 65 | | 9 | 7 | | 10 | 70 | | 11 | 79 | | 12 | 17 | | 13 | 10 | | 14 | 52 | | 15 | 3 | | 16 | 29 | | 17 | 66 | | 18 | 14 | | 19 | 54 | | 20 | 46 | | 21 | 8 | | 22 | 27 | | 23 | 54 | | 24 | 11 | | 25 | 45 | | 26 | 70 | | 27 | 32 | | 28 | 55 | | 29 | 19 | | 30 | 33 | | 31 | 43 | | 32 | 71 | | 33 | 38 | | 34 | 45 | | 35 | 70 | | 36 | 72 | | 37 | 25 |
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| 97.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 139 | | matches | | 0 | "been forced" | | 1 | "been drawn" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 224 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 11 | | totalSentences | 159 | | ratio | 0.069 | | matches | | 0 | "The air tasted of mildew and spilled coffee; distant drips echoed behind the hush." | | 1 | "The angle was shallow—hemorrhaging from a throat wound, she’d guessed." | | 2 | "The bar sat flush; the cylinder was clean, no scratches around the keyhole." | | 3 | "The victim—a middle-aged man in a threadbare jacket—couldn’t have picked the lock from the outside." | | 4 | "But the wound was ragged—edges feathered." | | 5 | "A series of shallow gouges—scratches in semi-circular sweeps—marred the golden mosaic tiles above the tracks." | | 6 | "Something inside dripped, then scraped—metal on metal, hushed and deliberate." | | 7 | "The chalk circle, the gouges, the humming vent—none fit a typical homicide." | | 8 | "Something shifted—a breeze, carrying the stench of rot and ozone." | | 9 | "Her mind flicked back to Morris—her partner three years gone—his body found beside a collapsed altar." | | 10 | "Someone had built that rift—and whatever it was would strike again." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1286 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.02332814930015552 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004665629860031105 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 10.58 | | std | 7.12 | | cv | 0.672 | | sampleLengths | | 0 | 21 | | 1 | 18 | | 2 | 15 | | 3 | 14 | | 4 | 18 | | 5 | 5 | | 6 | 14 | | 7 | 17 | | 8 | 12 | | 9 | 8 | | 10 | 10 | | 11 | 18 | | 12 | 7 | | 13 | 2 | | 14 | 6 | | 15 | 7 | | 16 | 27 | | 17 | 13 | | 18 | 6 | | 19 | 13 | | 20 | 12 | | 21 | 15 | | 22 | 8 | | 23 | 9 | | 24 | 2 | | 25 | 4 | | 26 | 6 | | 27 | 8 | | 28 | 9 | | 29 | 6 | | 30 | 5 | | 31 | 11 | | 32 | 25 | | 33 | 7 | | 34 | 8 | | 35 | 4 | | 36 | 3 | | 37 | 9 | | 38 | 5 | | 39 | 13 | | 40 | 21 | | 41 | 4 | | 42 | 8 | | 43 | 6 | | 44 | 9 | | 45 | 15 | | 46 | 14 | | 47 | 17 | | 48 | 4 | | 49 | 5 |
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| 54.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.33962264150943394 | | totalSentences | 159 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 125 | | matches | | 0 | "More curious, it cut through" | | 1 | "Instead she drew breath, reading" | | 2 | "Even this, she would keep." | | 3 | "Only ripples in reality, and" |
| | ratio | 0.032 | |
| 92.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 125 | | matches | | 0 | "She clicked off her torch" | | 1 | "She stepped onto the platform." | | 2 | "He flicked at a scanner’s" | | 3 | "He tapped the battered door" | | 4 | "Its iron frame held a" | | 5 | "She knelt again, shining her" | | 6 | "It quivered, like it had" | | 7 | "She touched it gently." | | 8 | "She stood and flicked her" | | 9 | "She moved her light upward:" | | 10 | "She strode past the body," | | 11 | "She traced it to a" | | 12 | "She pressed her gloved ear" | | 13 | "She tapped the vent with" | | 14 | "She hadn’t expected Eva here," | | 15 | "She reached inside her satchel" | | 16 | "Its face was etched with" | | 17 | "She adjusted her glasses." | | 18 | "She studied the compass face," | | 19 | "She closed her eyes briefly" |
| | ratio | 0.32 | |
| 32.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 125 | | matches | | 0 | "The station tunnel yawned before" | | 1 | "She clicked off her torch" | | 2 | "The air tasted of mildew" | | 3 | "Quinn’s left wrist flexed, the" | | 4 | "She stepped onto the platform." | | 5 | "A single bulb, rigged to" | | 6 | "Blood spatter flecked the concrete," | | 7 | "Quinn crouched, brushing a gloved" | | 8 | "The angle was shallow—hemorrhaging from" | | 9 | "Detective Sergeant West hovered over" | | 10 | "He flicked at a scanner’s" | | 11 | "He tapped the battered door" | | 12 | "Its iron frame held a" | | 13 | "Quinn’s eyes tracked the lock’s" | | 14 | "The bar sat flush; the" | | 15 | "The victim—a middle-aged man in" | | 16 | "Quinn glanced at the corpse" | | 17 | "The skin lay smooth, as" | | 18 | "Knife wound or talon slash." | | 19 | "She knelt again, shining her" |
| | ratio | 0.856 | |
| 40.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 125 | | matches | | | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 1 | | matches | | 0 | "More curious, it cut through a tiny puddle of blood and emerged on the platform’s concrete, as if carved through liquid." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva protested, but Quinn’s gaze brooked no argument" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Eva protested (protest)" |
| | dialogueSentences | 36 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.167 | | effectiveRatio | 0.056 | |