| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1279 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "suddenly" | | 4 | "truly" |
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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) | |
| 57.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1279 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "loomed" | | 1 | "sentinels" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "stomach" | | 5 | "lurched" | | 6 | "whisper" | | 7 | "oppressive" | | 8 | "silence" | | 9 | "footsteps" | | 10 | "lurch" |
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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 | 81 | | matches | (empty) | |
| 54.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1264 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1249 | | uniqueNames | 11 | | maxNameDensity | 0.64 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 2 | | Park | 2 | | October | 1 | | Eva | 3 | | Heartstone | 1 | | Aurora | 8 | | Fae | 1 | | Grove | 1 | | London | 1 | | Tesco | 2 | | Real | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "October" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "shadows that seemed to shift and writhe at the edge of the beam" | | 1 | "symbols that seemed to move in the flashlight's glare" | | 2 | "seemed weaker here, barely penetrating more than a few feet ahead" | | 3 | "appeared ahead solid and real and beautiful in their mundane existence" |
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| 41.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.582 | | wordCount | 1264 | | matches | | 0 | "not quite painful but impossible to ignore" | | 1 | "not running but walking with terrible patience, knowing there was nowhere fo" |
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| 86.35% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 83 | | matches | | 0 | "followed that pain" | | 1 | "saw that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 42.13 | | std | 22.57 | | cv | 0.536 | | sampleLengths | | 0 | 69 | | 1 | 53 | | 2 | 56 | | 3 | 75 | | 4 | 4 | | 5 | 63 | | 6 | 5 | | 7 | 61 | | 8 | 43 | | 9 | 27 | | 10 | 16 | | 11 | 50 | | 12 | 55 | | 13 | 7 | | 14 | 75 | | 15 | 8 | | 16 | 59 | | 17 | 46 | | 18 | 2 | | 19 | 56 | | 20 | 49 | | 21 | 60 | | 22 | 62 | | 23 | 44 | | 24 | 51 | | 25 | 15 | | 26 | 53 | | 27 | 39 | | 28 | 51 | | 29 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 79.34% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 221 | | matches | | 0 | "were pushing" | | 1 | "was cloying" | | 2 | "was burning" | | 3 | "was turning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 83 | | ratio | 0.12 | | matches | | 0 | "The usual nighttime sounds—owls, rustling leaves, distant traffic—had fallen away, leaving only the crunch of frost beneath her boots and the thunder of her own heartbeat." | | 1 | "It was still night, but the quality of it felt wrong—too deep, too absolute, as if the sky had been painted over with pitch." | | 2 | "Wildflowers carpeted the ground, their petals luminescent in the dark—blues and purples and colors that had no names." | | 3 | "She moved deeper into the grove, following a path that hadn't been there moments before—or perhaps it had always been there, waiting." | | 4 | "She stumbled backward as the face came into view—her own face, but wrong, the features slightly off as if reflected in disturbed water." | | 5 | "Behind her, she could hear footsteps—not running but walking with terrible patience, knowing there was nowhere for her to go." | | 6 | "Left, right, straight—every choice looked the same." | | 7 | "But now she knew which way to run—toward the pain." | | 8 | "Behind her, something howled—a sound like wind through broken glass, like children laughing underwater, like her own voice screaming her name." | | 9 | "Through the crack, something moved—a darkness deeper than the stone itself, watching her with patient malevolence." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1264 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.03560126582278481 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010284810126582278 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 15.23 | | std | 8.53 | | cv | 0.56 | | sampleLengths | | 0 | 20 | | 1 | 28 | | 2 | 21 | | 3 | 5 | | 4 | 33 | | 5 | 15 | | 6 | 10 | | 7 | 21 | | 8 | 25 | | 9 | 6 | | 10 | 9 | | 11 | 17 | | 12 | 17 | | 13 | 26 | | 14 | 4 | | 15 | 31 | | 16 | 14 | | 17 | 18 | | 18 | 5 | | 19 | 3 | | 20 | 20 | | 21 | 24 | | 22 | 14 | | 23 | 18 | | 24 | 13 | | 25 | 12 | | 26 | 14 | | 27 | 7 | | 28 | 6 | | 29 | 1 | | 30 | 6 | | 31 | 9 | | 32 | 22 | | 33 | 28 | | 34 | 4 | | 35 | 8 | | 36 | 14 | | 37 | 14 | | 38 | 15 | | 39 | 7 | | 40 | 19 | | 41 | 17 | | 42 | 39 | | 43 | 8 | | 44 | 28 | | 45 | 23 | | 46 | 8 | | 47 | 27 | | 48 | 19 | | 49 | 2 |
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| 54.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3855421686746988 | | totalSentences | 83 | | uniqueOpeners | 32 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 76 | | matches | | 0 | "Just a deer, she told" | | 1 | "Just her own breathing, too" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 76 | | matches | | 0 | "She shouldn't have come alone." | | 1 | "Her phone's flashlight carved a" | | 2 | "She froze, sweeping the light" | | 3 | "Her stomach lurched as if" | | 4 | "It was still night, but" | | 5 | "Their perfume was cloying, almost" | | 6 | "Her voice came out as" | | 7 | "She cleared her throat and" | | 8 | "She moved deeper into the" | | 9 | "Her phone had no signal," | | 10 | "She stumbled backward as the" | | 11 | "They weren't trees at all" | | 12 | "She followed that pain like" | | 13 | "She dove between them, felt" | | 14 | "She scrambled to her feet" | | 15 | "Her phone showed 12:07 AM." | | 16 | "She'd been in the grove" | | 17 | "She stepped inside, but couldn't" |
| | ratio | 0.237 | |
| 78.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 76 | | matches | | 0 | "The ancient oaks of Richmond" | | 1 | "Aurora's breath misted in the" | | 2 | "The pendant against her chest" | | 3 | "She shouldn't have come alone." | | 4 | "Eva had warned her to" | | 5 | "Her phone's flashlight carved a" | | 6 | "A branch snapped somewhere behind" | | 7 | "She froze, sweeping the light" | | 8 | "Nothing but trees and shadows" | | 9 | "The usual nighttime sounds—owls, rustling" | | 10 | "The pendant grew warmer." | | 11 | "The air here felt different," | | 12 | "The crescent scar on her" | | 13 | "Aurora stepped between the stones." | | 14 | "The world tilted." | | 15 | "Her stomach lurched as if" | | 16 | "It was still night, but" | | 17 | "The flashlight's beam seemed weaker" | | 18 | "Wildflowers carpeted the ground, their" | | 19 | "Their perfume was cloying, almost" |
| | ratio | 0.763 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 10 | | matches | | 0 | "The air here felt different, thicker, as if she were pushing through invisible curtains." | | 1 | "It was still night, but the quality of it felt wrong—too deep, too absolute, as if the sky had been painted over with pitch." | | 2 | "She moved deeper into the grove, following a path that hadn't been there moments before—or perhaps it had always been there, waiting." | | 3 | "As she approached, her light revealed more details: a woman in a dress that might have been white once but was now the color of old bone, her back turned, her h…" | | 4 | "She stumbled backward as the face came into view—her own face, but wrong, the features slightly off as if reflected in disturbed water." | | 5 | "The thing that wore her face smiled, and its mouth opened wider than any mouth should, revealing row after row of needle-sharp teeth spiraling down into darknes…" | | 6 | "The path that had been so clear moments before twisted and branched, splitting into a dozen directions." | | 7 | "She followed that pain like a lifeline, crashing through undergrowth that grabbed and tore, past whispers that promised terrible truths if she would only stop a…" | | 8 | "Something that knew her name, wore her face, and waited in the spaces between worlds." | | 9 | "She stepped inside, but couldn't shake the feeling that she'd brought something back with her, a shadow that would follow her home, patient and hungry and weari…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |