| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1305 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "utterly" | | 1 | "slowly" | | 2 | "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) | |
| 23.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1305 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "familiar" | | 1 | "whisper" | | 2 | "weight" | | 3 | "silence" | | 4 | "pulsed" | | 5 | "measured" | | 6 | "footfall" | | 7 | "pulse" | | 8 | "warmth" | | 9 | "raced" | | 10 | "searing" | | 11 | "beacon" |
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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 | 136 | | matches | (empty) | |
| 69.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 2 | | narrationSentences | 136 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 31 | | totalWords | 1299 | | ratio | 0.024 | | matches | | 0 | "Wrong." | | 1 | "You came alone," | | 2 | "You didn’t tell Eva. You didn’t tell Silas. Isolation was the point." | | 3 | "flowed" | | 4 | "Why do you hide? Why do you run? Let me see. Let me feel." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1299 | | uniqueNames | 11 | | maxNameDensity | 0.46 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Park | 1 | | Heartstone | 3 | | Hel | 2 | | London | 1 | | Carter | 1 | | Malphora | 1 | | Silas | 5 | | Yu-Fei | 1 | | Eva | 1 | | Fae | 2 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Eva" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "Yu-Fei" |
| | globalScore | 1 | | windowScore | 1 | |
| 59.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 3 | | matches | | 0 | "hum that seemed to come from the ground itself" | | 1 | "looked like a petrified altar" | | 2 | "looked like a distorted reflection of her" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.079 | | wordCount | 1299 | | matches | | 0 | "Not unpleasant, but insistent, like a second heartbeat trying to sync with hers" | | 1 | "not of rot or decay, but of something cloyingly sweet" | | 2 | "Not slowly, but in a rapid, violent cascade" | | 3 | "not teeth, but a void, a slice of absolute nothing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 40.59 | | std | 20.98 | | cv | 0.517 | | sampleLengths | | 0 | 82 | | 1 | 48 | | 2 | 68 | | 3 | 69 | | 4 | 79 | | 5 | 22 | | 6 | 1 | | 7 | 41 | | 8 | 59 | | 9 | 4 | | 10 | 49 | | 11 | 32 | | 12 | 36 | | 13 | 29 | | 14 | 25 | | 15 | 40 | | 16 | 49 | | 17 | 48 | | 18 | 7 | | 19 | 64 | | 20 | 47 | | 21 | 55 | | 22 | 31 | | 23 | 35 | | 24 | 40 | | 25 | 39 | | 26 | 73 | | 27 | 19 | | 28 | 41 | | 29 | 30 | | 30 | 5 | | 31 | 32 |
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| 97.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 136 | | matches | | 0 | "were severed" | | 1 | "was whisked" | | 2 | "were gone" |
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| 68.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 203 | | matches | | 0 | "wasn’t detecting" | | 1 | "was reacting" | | 2 | "was broadcasting" | | 3 | "wasn’t just warning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 4 | | flaggedSentences | 8 | | totalSentences | 136 | | ratio | 0.059 | | matches | | 0 | "Richmond Park’s familiar sounds—the distant hum of traffic, the bark of a dog, the whisper of wind through regular trees—were severed clean." | | 1 | "Aurora Carter—Rory to the few who knew her, Malphora to the ghosts of a life she’d fled—moved with practiced caution." | | 2 | "The standing stones at the boundary weren’t just markers; they were locks." | | 3 | "It carried a smell—not of rot or decay, but of something cloyingly sweet and utterly sterile, like preserved flowers in a hermetically sealed jar." | | 4 | "It didn’t move; it *flowed*, pooling and stretching over the ground toward her." | | 5 | "For a moment, it looked like a distorted reflection of herself—taller, thinner, its face a smooth, featureless plane." | | 6 | "It wasn’t in her ears anymore; it was behind her eyes." | | 7 | "It wasn’t just warning her of a portal; it was broadcasting her position, her fear, her very essence into this hungry twilight." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1315 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.03802281368821293 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.00988593155893536 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 9.55 | | std | 6.99 | | cv | 0.731 | | sampleLengths | | 0 | 11 | | 1 | 27 | | 2 | 22 | | 3 | 22 | | 4 | 5 | | 5 | 15 | | 6 | 1 | | 7 | 4 | | 8 | 4 | | 9 | 19 | | 10 | 20 | | 11 | 5 | | 12 | 5 | | 13 | 12 | | 14 | 26 | | 15 | 10 | | 16 | 25 | | 17 | 11 | | 18 | 4 | | 19 | 2 | | 20 | 12 | | 21 | 5 | | 22 | 16 | | 23 | 11 | | 24 | 28 | | 25 | 24 | | 26 | 9 | | 27 | 13 | | 28 | 1 | | 29 | 3 | | 30 | 11 | | 31 | 12 | | 32 | 5 | | 33 | 1 | | 34 | 5 | | 35 | 4 | | 36 | 6 | | 37 | 4 | | 38 | 15 | | 39 | 5 | | 40 | 7 | | 41 | 22 | | 42 | 3 | | 43 | 1 | | 44 | 2 | | 45 | 8 | | 46 | 25 | | 47 | 4 | | 48 | 10 | | 49 | 6 |
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| 35.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.29850746268656714 | | totalSentences | 134 | | uniqueOpeners | 40 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 126 | | matches | | 0 | "Then, the wind came." | | 1 | "Instead, she crouched, her hand" |
| | ratio | 0.016 | |
| 35.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 126 | | matches | | 0 | "Their bark was black and" | | 1 | "She pulled her jacket tighter." | | 2 | "She needed to think, and" | | 3 | "She knew the grove’s rules." | | 4 | "She’d come through the main" | | 5 | "They cast long, shivering shadows" | | 6 | "She checked her watch." | | 7 | "She walked to the center," | | 8 | "Her reason for coming: to" | | 9 | "Her breath hitched." | | 10 | "It was the first true" | | 11 | "It was a feeling, a" | | 12 | "It was passive, a phenomenon." | | 13 | "She turned in a slow" | | 14 | "They no longer danced away" | | 15 | "They stretched toward her, their" | | 16 | "Her watch glinted." | | 17 | "It came from her left," | | 18 | "She froze, eyes straining." | | 19 | "*You came alone,* the thought" |
| | ratio | 0.46 | |
| 39.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 126 | | matches | | 0 | "The air thickened the moment" | | 1 | "Their bark was black and" | | 2 | "Richmond Park’s familiar sounds—the distant" | | 3 | "Here, only the rustle of" | | 4 | "She pulled her jacket tighter." | | 5 | "The Heartstone pendant against her" | | 6 | "That was the point." | | 7 | "She needed to think, and" | | 8 | "Aurora Carter—Rory to the few" | | 9 | "She knew the grove’s rules." | | 10 | "Time was a suggestion here." | | 11 | "The standing stones at the" | | 12 | "She’d come through the main" | | 13 | "The clearing opened before her," | | 14 | "The wildflowers, lupine and ghost" | | 15 | "They cast long, shivering shadows" | | 16 | "She checked her watch." | | 17 | "Here, it was perpetual dusk." | | 18 | "She walked to the center," | | 19 | "Her reason for coming: to" |
| | ratio | 0.841 | |
| 39.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 126 | | matches | | | ratio | 0.008 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 10 | | matches | | 0 | "Here, only the rustle of impossibly vibrant wildflowers underfoot and a low, liquid hum that seemed to come from the ground itself." | | 1 | "They cast long, shivering shadows that danced away from her feet." | | 2 | "To take the job offer from Yu-Fei that would mean more hours, less freedom, and a direct line into the messy, entangled world she’d been trying to skirt." | | 3 | "It was a feeling, a bone-deep certainty that slid into her mind." | | 4 | "The flowers still bloomed, their petals occasionally curling inward as if in a slow-motion sigh." | | 5 | "Their bioluminescence guttered out, petals curling inward, stems blackening and crumpling into ash that was whisked away by the unnatural wind." | | 6 | "Her mind, the part that was cool-headed and intelligent, raced through possibilities." | | 7 | "It simply ceased to exist, leaving a patch of smooth, black ground that reflected the dying light of the flowers like obsidian." | | 8 | "She had come because the Heartstone had begun its faint, warm thrumming in her flat, in her delivery bag, a constant, quiet pulse that meant she was perpetually…" | | 9 | "A seam split the darkness from ear to ear, revealing not teeth, but a void, a slice of absolute nothing that pulled the dim light inward." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |