| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 30 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.111 | | effectiveRatio | 0.067 | |
| 84.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 962 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "sharply" | | 1 | "completely" | | 2 | "barely above a whisper" |
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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) | |
| 27.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 962 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flicked" | | 1 | "shattered" | | 2 | "etched" | | 3 | "familiar" | | 4 | "raced" | | 5 | "glistening" | | 6 | "stomach" | | 7 | "pulse" | | 8 | "whisper" | | 9 | "could feel" | | 10 | "pulsed" | | 11 | "flickered" | | 12 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 14 | | totalWords | 952 | | ratio | 0.015 | | matches | | 0 | "abandoned" | | 1 | "collapsed" | | 2 | "out" | | 3 | "in" | | 4 | "taken" | | 5 | "knowledge" | | 6 | "way in" | | 7 | "wrong" | | 8 | "cooked" | | 9 | "taken" | | 10 | "why" | | 11 | "open" | | 12 | "breathe" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 824 | | uniqueNames | 9 | | maxNameDensity | 1.82 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Harlow | 15 | | Quinn | 1 | | Kowalski | 1 | | Veil | 2 | | Compass | 1 | | Reece | 7 | | Eva | 9 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Compass" | | 4 | "Reece" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.59 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 952 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 28.85 | | std | 24.1 | | cv | 0.835 | | sampleLengths | | 0 | 109 | | 1 | 58 | | 2 | 52 | | 3 | 5 | | 4 | 47 | | 5 | 6 | | 6 | 37 | | 7 | 16 | | 8 | 4 | | 9 | 24 | | 10 | 58 | | 11 | 4 | | 12 | 60 | | 13 | 7 | | 14 | 50 | | 15 | 6 | | 16 | 23 | | 17 | 45 | | 18 | 35 | | 19 | 4 | | 20 | 37 | | 21 | 4 | | 22 | 14 | | 23 | 46 | | 24 | 11 | | 25 | 56 | | 26 | 4 | | 27 | 42 | | 28 | 27 | | 29 | 4 | | 30 | 32 | | 31 | 10 | | 32 | 15 |
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| 83.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 82 | | matches | | 0 | "were meant" | | 1 | "was gone" | | 2 | "been *cooked" | | 3 | "been peeled" | | 4 | "were gone" |
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| 52.94% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 136 | | matches | | 0 | "weren’t just looking" | | 1 | "were looking" | | 2 | "was already moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 101 | | ratio | 0.099 | | matches | | 0 | "The abandoned Tube station smelled of damp stone and something older—something that clung to the air like the scent of old parchment left too long in a damp cellar." | | 1 | "It didn’t even look like blood—too thick, too dark, with a sheen that caught the light like oil." | | 2 | "\"Or something worse.\" Harlow’s gaze flicked to the scattered debris around them—shattered glass, a half-burned ledger, a single brass compass casing with verdigris creeping up its edges like rust." | | 3 | "The sigils etched into its face were familiar—protective, but not in the way she’d seen before." | | 4 | "The liquid rippled, and for a second, she thought she saw something move beneath the surface—something dark, something *wrong*." | | 5 | "The body lay on a stretcher, covered in a sheet, but the stench of it was unmistakable—metallic, sickly sweet, like something had been *cooked* in the flesh." | | 6 | "And beneath it, just for a second, she saw something else—a shape, dark and shifting, like a shadow given form." | | 7 | "And then she saw it—the entrance to something." | | 8 | "She could feel it now—the pull of the other side, the whisper of something ancient and hungry." | | 9 | "And then she heard it—the sound of footsteps, slow and deliberate, approaching from the darkness." |
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| 89.18% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 1 | | stackExamples | | 0 | "unmistakable—metallic, sickly sweet, like" |
| | adverbCount | 38 | | adverbRatio | 0.045508982035928146 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01437125748502994 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 9.43 | | std | 7.46 | | cv | 0.791 | | sampleLengths | | 0 | 29 | | 1 | 32 | | 2 | 34 | | 3 | 14 | | 4 | 21 | | 5 | 19 | | 6 | 12 | | 7 | 6 | | 8 | 7 | | 9 | 19 | | 10 | 4 | | 11 | 18 | | 12 | 4 | | 13 | 3 | | 14 | 2 | | 15 | 29 | | 16 | 3 | | 17 | 11 | | 18 | 4 | | 19 | 2 | | 20 | 4 | | 21 | 5 | | 22 | 28 | | 23 | 4 | | 24 | 3 | | 25 | 13 | | 26 | 3 | | 27 | 1 | | 28 | 16 | | 29 | 8 | | 30 | 9 | | 31 | 10 | | 32 | 16 | | 33 | 8 | | 34 | 7 | | 35 | 5 | | 36 | 3 | | 37 | 2 | | 38 | 2 | | 39 | 9 | | 40 | 14 | | 41 | 4 | | 42 | 12 | | 43 | 14 | | 44 | 7 | | 45 | 4 | | 46 | 3 | | 47 | 7 | | 48 | 15 | | 49 | 19 |
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| 45.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.31683168316831684 | | totalSentences | 101 | | uniqueOpeners | 32 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Then it was gone, swallowed" | | 1 | "Then the lights flickered." |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 74 | | matches | | 0 | "She tucked a strand of" | | 1 | "she asked, her voice tight" | | 2 | "She crouched, running her gloved" | | 3 | "It didn’t even look like" | | 4 | "She recognized it instantly, though" | | 5 | "She stood, brushing the dust" | | 6 | "She picked it up, turning" | | 7 | "They were meant to keep" | | 8 | "It was about *knowledge*." | | 9 | "They were looking for a" | | 10 | "She stepped closer to the" | | 11 | "She turned to Reece." | | 12 | "His skin had been peeled" | | 13 | "His eyes were gone." | | 14 | "She crouched beside the stretcher," | | 15 | "she said quietly" | | 16 | "She turned back to the" | | 17 | "She was already moving, her" | | 18 | "She reached out, her fingers" | | 19 | "She could feel it now—the" |
| | ratio | 0.284 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The flickering glow of her" | | 3 | "The air hummed with an" | | 4 | "Eva Kowalski stood near the" | | 5 | "She tucked a strand of" | | 6 | "she asked, her voice tight" | | 7 | "Harlow didn’t look away from" | | 8 | "She crouched, running her gloved" | | 9 | "The liquid wasn’t water." | | 10 | "It didn’t even look like" | | 11 | "Eva exhaled sharply." | | 12 | "Harlow’s gaze flicked to the" | | 13 | "The Veil Compass." | | 14 | "She recognized it instantly, though" | | 15 | "Harlow didn’t answer right away." | | 16 | "She stood, brushing the dust" | | 17 | "Reece shifted uncomfortably." | | 18 | "Harlow’s eyes narrowed." | | 19 | "Reece said, gesturing toward the" |
| | ratio | 0.851 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "As if something had *taken*" |
| | ratio | 0.014 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Tube station smelled of damp stone and something older—something that clung to the air like the scent of old parchment left too long in a damp cel…" | | 1 | "The flickering glow of her flashlight cut through the dark, illuminating the scene before her: a pool of blackened liquid spread across the cracked concrete, it…" | | 2 | "She stood, brushing the dust from her knees, and turned to her colleague, a younger detective named Reece, who stood near the entrance of the station, arms cros…" | | 3 | "She was already moving, her boots splashing through the liquid as she approached the edge of the pool." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, her voice tight" | | 1 | "Harlow stood, her gaze sweeping over the scene" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 30 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0.25 | | effectiveRatio | 0.067 | |