| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1147 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 38.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1147 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "sentinels" | | 3 | "silence" | | 4 | "rhythmic" | | 5 | "warmth" | | 6 | "footsteps" | | 7 | "weight" | | 8 | "echo" | | 9 | "silk" |
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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 | 40 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 40 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 76 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 8 | | totalWords | 1134 | | ratio | 0.007 | | matches | | 0 | "Gone to Richmond. Back by dawn" | | 1 | "Thump-thump. Thump-thump." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1058 | | uniqueNames | 13 | | maxNameDensity | 0.66 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Heartstone | 3 | | Pendant | 3 | | Silas | 1 | | Eva | 2 | | Grove | 1 | | Pre-Law | 1 | | Hel | 2 | | Camden | 1 | | Silence | 1 | | Rorys | 1 | | Rory | 7 |
| | persons | | 0 | "Pendant" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Grove" | | 4 | "Hel" | | 5 | "Camden" | | 6 | "Silence" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 2 | | matches | | 0 | "carvings that seemed to shift when she wasn't looking directly at them" | | 1 | "sounded like her own voice, but wrong, str" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.882 | | wordCount | 1134 | | matches | | 0 | "not to go, her voice tight through the phone an hour ago, but Eva didn't understand about the pendant" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 40.5 | | std | 25.5 | | cv | 0.63 | | sampleLengths | | 0 | 95 | | 1 | 76 | | 2 | 67 | | 3 | 10 | | 4 | 62 | | 5 | 8 | | 6 | 43 | | 7 | 75 | | 8 | 70 | | 9 | 9 | | 10 | 45 | | 11 | 60 | | 12 | 20 | | 13 | 5 | | 14 | 47 | | 15 | 57 | | 16 | 49 | | 17 | 3 | | 18 | 50 | | 19 | 45 | | 20 | 18 | | 21 | 24 | | 22 | 42 | | 23 | 32 | | 24 | 71 | | 25 | 26 | | 26 | 2 | | 27 | 23 |
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| 78.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 40 | | matches | | 0 | "being waited" | | 1 | "was supposed" | | 2 | "being followed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 174 | | matches | | 0 | "wasn't looking" | | 1 | "was herding" | | 2 | "was answering" | | 3 | "were speaking" | | 4 | "was breathing" | | 5 | "was screaming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 40 | | ratio | 0.25 | | matches | | 0 | "It was 11:47 PM—she checked her phone, the screen's blue light harsh against the dark." | | 1 | "She'd left a note for Silas on the bar's chalkboard—*Gone to Richmond." | | 2 | "Back by dawn*—though she suspected dawn might not come, or might arrive days late." | | 3 | "The air turned mild, cloying, smelling of damp earth and something else—honey and rust." | | 4 | "\"Hello?\" Her voice came out flat, useless in the silence. London hummed beyond the tree line—distant traffic, the occasional siren—but inside the Grove, there was only the wet sound of her own breathing and the rhythmic drip of dew from the standing stones." | | 5 | "She took a step forward. Then another. The pendant's warmth spread, a coal pressed against her skin. It was supposed to pulse near a Hel portal, the seller had claimed—some stranger in a Camden market, pressing the silver chain into her palm with eyes that had been too wide, too wet. \"It finds what's lost,\" he'd said. \"Or what's hunting.\"" | | 6 | "Silence. Then—footsteps. Soft, barefoot, circling. She could hear the dew squelching under weight, the snap of a twig that wasn't under her boots. The rhythm was wrong. Too deliberate. Mimicking her own pace but offset by half a second, like an echo that had learned to walk." | | 7 | "Rory's mind, trained on legal precedent and logical deduction, scrambled for purchase. She was being followed. In a clearing smaller than a football pitch, surrounded by trees that blocked the moon, someone—or something—was herding her toward the center where the flowers grew thickest. The blooms glowed now, faintly luminous, casting her shadow in three directions at once." | | 8 | "She reached the center. The path ended at a circle of mushrooms, pale and fungal, ringing a depression in the earth that hadn't been there before. The air tasted of ozone and iron. Her phone died—screen going black, the time frozen at 11:47 PM, the same minute she'd entered." | | 9 | "It raised a hand—or what might have been a hand, tapered and wrong—and pointed at the Heartstone Pendant." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 259 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 4 | | adverbRatio | 0.015444015444015444 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.003861003861003861 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 40 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 40 | | mean | 28.35 | | std | 21.1 | | cv | 0.744 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 26 | | 3 | 4 | | 4 | 31 | | 5 | 12 | | 6 | 14 | | 7 | 23 | | 8 | 3 | | 9 | 24 | | 10 | 3 | | 11 | 25 | | 12 | 14 | | 13 | 25 | | 14 | 2 | | 15 | 8 | | 16 | 62 | | 17 | 8 | | 18 | 43 | | 19 | 75 | | 20 | 70 | | 21 | 9 | | 22 | 45 | | 23 | 60 | | 24 | 20 | | 25 | 5 | | 26 | 47 | | 27 | 57 | | 28 | 49 | | 29 | 3 | | 30 | 50 | | 31 | 45 | | 32 | 18 | | 33 | 24 | | 34 | 42 | | 35 | 32 | | 36 | 71 | | 37 | 26 | | 38 | 2 | | 39 | 23 |
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| 74.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.475 | | totalSentences | 40 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 37 | | matches | | 0 | "It was 11:47 PM—she checked" | | 1 | "She'd done the research." | | 2 | "She'd left a note for" | | 3 | "Her boots made no sound" | | 4 | "Her voice came out flat," | | 5 | "She should have brought a" | | 6 | "She took a step forward." | | 7 | "Her voice cracked" | | 8 | "She reached the center. The" | | 9 | "She couldn't see it. Not" | | 10 | "It raised a hand—or what" |
| | ratio | 0.297 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 37 | | matches | | 0 | "Rory pushed her bike through" | | 1 | "It was 11:47 PM—she checked" | | 2 | "She'd done the research." | | 3 | "Law school had taught her" | | 4 | "She'd left a note for" | | 5 | "Eva had begged her not" | | 6 | "The silver chain lay cool" | | 7 | "The trees thickened." | | 8 | "Frost clung to the bracken" | | 9 | "The air turned mild, cloying," | | 10 | "Wildflowers bloomed in the center" | | 11 | "Her boots made no sound" | | 12 | "The pendant pulsed harder. A" | | 13 | "Her voice came out flat," | | 14 | "She should have brought a" | | 15 | "Time moved strangely here. She" | | 16 | "A sound. Not from the" | | 17 | "Rory spun. The beam of" | | 18 | "She took a step forward." | | 19 | "The scraping sound came again." |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 10 | | matches | | 0 | "Three nights ago, the Heartstone Pendant had begun to burn against her sternum, a crimson pulse throbbing in time with a rhythm that wasn't her heartbeat." | | 1 | "She should have brought a torch. Her phone's beam caught only mist, thick and pearlescent, swirling at knee-height in patterns that hurt to follow. The beam rev…" | | 2 | "Time moved strangely here. She knew this from the folklore, from the whispered warnings in the library archives she'd haunted during her Pre-Law electives. An h…" | | 3 | "Rory spun. The beam of her phone swept across the standing stones, catching the grain of the oak, the moss, the ancient carvings that seemed to shift when she w…" | | 4 | "Silence. Then—footsteps. Soft, barefoot, circling. She could hear the dew squelching under weight, the snap of a twig that wasn't under her boots. The rhythm wa…" | | 5 | "Rory's mind, trained on legal precedent and logical deduction, scrambled for purchase. She was being followed. In a clearing smaller than a football pitch, surr…" | | 6 | "She reached the center. The path ended at a circle of mushrooms, pale and fungal, ringing a depression in the earth that hadn't been there before. The air taste…" | | 7 | "She couldn't see it. Not directly. Only in the periphery, a distortion in the air, a shape that was too tall and had too many joints. Her bright blue eyes strai…" | | 8 | "Rory backed away, her heel catching on a root. She stumbled, caught herself on the nearest standing stone. The oak was warm now, fever-hot, and beneath her palm…" | | 9 | "The flowers began to close, their petals folding inward with a sound like tearing silk. The ground beneath her feet softened, becoming loam, then mud, then some…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "It sounded like (sound like)" |
| | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |