| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1466 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "very" | | 3 | "precisely" |
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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) | |
| 4.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1466 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "tracing" | | 1 | "pulse" | | 2 | "comforting" | | 3 | "warmth" | | 4 | "perfect" | | 5 | "silence" | | 6 | "flickered" | | 7 | "pulsed" | | 8 | "echo" | | 9 | "scanned" | | 10 | "could feel" | | 11 | "searing" | | 12 | "echoed" | | 13 | "rhythmic" | | 14 | "throb" | | 15 | "weight" | | 16 | "familiar" | | 17 | "stark" | | 18 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "wave of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 112 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 112 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 28 | | totalWords | 1459 | | ratio | 0.019 | | matches | | 0 | "A software glitch. Or the battery is dying in the damp." | | 1 | "click" | | 2 | "Identify the threat," | | 3 | "It's a deer. Richmond Park is full of deer." | | 4 | "click" | | 5 | "click, click, click" |
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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 | 30 | | wordCount | 1440 | | uniqueNames | 13 | | maxNameDensity | 0.69 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | November | 1 | | Richmond | 3 | | Park | 2 | | Aurora | 1 | | Carter | 1 | | Cardiff | 1 | | Heartstone | 3 | | Golden | 1 | | Empress | 1 | | Rory | 10 | | Grove | 3 | | Pre-Law | 1 |
| | persons | | 0 | "November" | | 1 | "Aurora" | | 2 | "Carter" | | 3 | "Rory" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Cardiff" | | 4 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 6 | | matches | | 0 | "twilight that seemed to rise from the ground itself" | | 1 | "looked like ancient oak trunks, but they" | | 2 | "seemed muffled swallowed by the heavy air" | | 3 | "sounded like fingernails tapping on dry bo" | | 4 | "silhouette that seemed to absorb the faint, bioluminescent glow of the wildflowers around it" | | 5 | "looked like an arm—a long, jointed append" |
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| 62.92% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.371 | | wordCount | 1459 | | matches | | 0 | "not warm like the summer air, but radiating a low, feverish heat, like a forehead slick with s" | | 1 | "not with speed, but with the agonizing, inevitable crawl of a predator" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 33.93 | | std | 22.13 | | cv | 0.652 | | sampleLengths | | 0 | 74 | | 1 | 14 | | 2 | 77 | | 3 | 58 | | 4 | 29 | | 5 | 4 | | 6 | 59 | | 7 | 5 | | 8 | 72 | | 9 | 13 | | 10 | 47 | | 11 | 53 | | 12 | 35 | | 13 | 45 | | 14 | 11 | | 15 | 11 | | 16 | 37 | | 17 | 16 | | 18 | 53 | | 19 | 10 | | 20 | 31 | | 21 | 32 | | 22 | 36 | | 23 | 10 | | 24 | 57 | | 25 | 6 | | 26 | 58 | | 27 | 43 | | 28 | 28 | | 29 | 53 | | 30 | 20 | | 31 | 10 | | 32 | 78 | | 33 | 4 | | 34 | 54 | | 35 | 19 | | 36 | 39 | | 37 | 48 | | 38 | 46 | | 39 | 3 | | 40 | 7 | | 41 | 31 | | 42 | 23 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 112 | | matches | | |
| 7.16% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 242 | | matches | | 0 | "was clearing" | | 1 | "was glowing" | | 2 | "wasn't matching" | | 3 | "was matching" | | 4 | "was pulsing" | | 5 | "was reacting" | | 6 | "was warping" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 4 | | flaggedSentences | 10 | | totalSentences | 112 | | ratio | 0.089 | | matches | | 0 | "It didn't fade; it simply vanished, cut off with the clean precision of a heavy door slamming shut." | | 1 | "Wildflowers—lupines, pale primroses, and thick clusters of bluebells—bloomed in violent, unnatural profusion, their petals glowing faintly in the dark." | | 2 | "She slipped her phone back into her pocket, her hand closing instinctively around her keys—the only weapon she had." | | 3 | "Instead, they pooled inward, creeping across the glowing wildflowers like black oil spills, stretching toward the center of the clearing—toward her." | | 4 | "It didn't step out; it poured." | | 5 | "The soil was hot—not warm like the summer air, but radiating a low, feverish heat, like a forehead slick with sweat." | | 6 | "The flowers didn't bend under its weight; they withered." | | 7 | "The air on the other side of the stones wasn't just cold; it felt dead, empty of oxygen, a vast nothingness." | | 8 | "Rory could see no face, no eyes, but she could feel its gaze—a heavy, suffocating weight that pressed down on her lungs." | | 9 | "It raised what looked like an arm—a long, jointed appendage that ended in fingers that were too thin, too many." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 153 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.026143790849673203 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0196078431372549 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 13.03 | | std | 7.65 | | cv | 0.587 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 31 | | 3 | 14 | | 4 | 35 | | 5 | 11 | | 6 | 31 | | 7 | 10 | | 8 | 17 | | 9 | 31 | | 10 | 15 | | 11 | 14 | | 12 | 4 | | 13 | 18 | | 14 | 9 | | 15 | 9 | | 16 | 23 | | 17 | 5 | | 18 | 14 | | 19 | 28 | | 20 | 11 | | 21 | 19 | | 22 | 13 | | 23 | 5 | | 24 | 8 | | 25 | 4 | | 26 | 30 | | 27 | 11 | | 28 | 12 | | 29 | 6 | | 30 | 13 | | 31 | 11 | | 32 | 7 | | 33 | 3 | | 34 | 15 | | 35 | 10 | | 36 | 13 | | 37 | 13 | | 38 | 16 | | 39 | 3 | | 40 | 6 | | 41 | 5 | | 42 | 11 | | 43 | 2 | | 44 | 19 | | 45 | 4 | | 46 | 12 | | 47 | 3 | | 48 | 13 | | 49 | 4 |
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| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.23214285714285715 | | totalSentences | 112 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 109 | | matches | | 0 | "Then, the cold stopped." | | 1 | "Then it doubled." | | 2 | "Instead, they pooled inward, creeping" | | 3 | "Then, the pendant flared with" |
| | ratio | 0.037 | |
| 62.20% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 109 | | matches | | 0 | "She kept her hands shoved" | | 1 | "She had received the mark" | | 2 | "It was a small thing," | | 3 | "It wasn't the gentle, comforting" | | 4 | "She stepped off the paved" | | 5 | "It didn't fade; it simply" | | 6 | "She pulled her scarf down," | | 7 | "It was a perfect circular" | | 8 | "They looked like ancient oak" | | 9 | "It wasn't the quiet of" | | 10 | "It was a vacuum." | | 11 | "She pulled her phone from" | | 12 | "She watched the screen for" | | 13 | "It was dry, sweet, and" | | 14 | "She reached into her collar" | | 15 | "It pulsed in perfect synchronization" | | 16 | "It wasn't matching her heart" | | 17 | "It was matching something else." | | 18 | "She slipped her phone back" | | 19 | "she called out" |
| | ratio | 0.394 | |
| 47.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 109 | | matches | | 0 | "The cold of a London" | | 1 | "She kept her hands shoved" | | 2 | "She had received the mark" | | 3 | "It was a small thing," | | 4 | "It wasn't the gentle, comforting" | | 5 | "This was a feverish, throbbing" | | 6 | "Rory was not a woman" | | 7 | "A childhood spent watching her" | | 8 | "She stepped off the paved" | | 9 | "The city lights faded behind" | | 10 | "It didn't fade; it simply" | | 11 | "Rory paused, her boots sinking" | | 12 | "The air was suddenly thick," | | 13 | "She pulled her scarf down," | | 14 | "It was a perfect circular" | | 15 | "They looked like ancient oak" | | 16 | "Wildflowers—lupines, pale primroses, and thick" | | 17 | "Rory took a slow step" | | 18 | "The silence hit her first." | | 19 | "It wasn't the quiet of" |
| | ratio | 0.826 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Before her lay the Grove." |
| | ratio | 0.009 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 7 | | matches | | 0 | "She pulled her scarf down, her bright blue eyes adjusting to a strange, luminous twilight that seemed to rise from the ground itself." | | 1 | "A portion of the darkness detached itself from the petrified wood, rising to a height that was tall, far too tall for a man." | | 2 | "It had no distinct outline, just a silhouette that seemed to absorb the faint, bioluminescent glow of the wildflowers around it." | | 3 | "Rory could see no face, no eyes, but she could feel its gaze—a heavy, suffocating weight that pressed down on her lungs." | | 4 | "It raised what looked like an arm—a long, jointed appendage that ended in fingers that were too thin, too many." | | 5 | "It reached toward her, not with speed, but with the agonizing, inevitable crawl of a predator that knew its prey had nowhere left to run." | | 6 | "The warmth departed, leaving behind a stale, metallic tang that coated the back of her throat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she asked, her voice tighter this time" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |