| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1429 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "quickly" | | 1 | "completely" | | 2 | "slowly" | | 3 | "suddenly" | | 4 | "perfectly" |
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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) | |
| 26.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1429 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "rhythmic" | | 3 | "warmth" | | 4 | "familiar" | | 5 | "chill" | | 6 | "scanning" | | 7 | "echo" | | 8 | "weight" | | 9 | "flickered" | | 10 | "gloom" | | 11 | "trembled" | | 12 | "wavering" | | 13 | "searing" | | 14 | "echoing" | | 15 | "roaring" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blink of an eye" | | count | 1 |
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| | highlights | | 0 | "in the blink of an eye" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 11 | | totalWords | 1422 | | ratio | 0.008 | | matches | | 0 | "Schlip. Schlip. Schlip." | | 1 | "Think," | | 2 | "Don't run. If you run, it chases." |
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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 | 31 | | wordCount | 1399 | | uniqueNames | 14 | | maxNameDensity | 0.86 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 12 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Meet | 1 | | Heartstone | 4 | | Fae | 1 | | Grove | 1 | | November | 1 | | London | 4 | | Heathrow | 1 | | Pre-Law | 1 | | Cardiff | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "London" | | 6 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "coils that seemed to lean inward, conspiring" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.703 | | wordCount | 1422 | | matches | | 0 | "not yellow like a cat's, nor red like a fox's, but a luminous, watery violet, set deep within a face" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.91 | | std | 21.3 | | cv | 0.689 | | sampleLengths | | 0 | 50 | | 1 | 77 | | 2 | 77 | | 3 | 13 | | 4 | 44 | | 5 | 7 | | 6 | 46 | | 7 | 58 | | 8 | 15 | | 9 | 48 | | 10 | 30 | | 11 | 17 | | 12 | 25 | | 13 | 17 | | 14 | 88 | | 15 | 22 | | 16 | 3 | | 17 | 17 | | 18 | 52 | | 19 | 7 | | 20 | 4 | | 21 | 34 | | 22 | 15 | | 23 | 35 | | 24 | 12 | | 25 | 59 | | 26 | 47 | | 27 | 13 | | 28 | 33 | | 29 | 3 | | 30 | 16 | | 31 | 51 | | 32 | 25 | | 33 | 32 | | 34 | 37 | | 35 | 17 | | 36 | 13 | | 37 | 50 | | 38 | 30 | | 39 | 5 | | 40 | 56 | | 41 | 22 | | 42 | 29 | | 43 | 7 | | 44 | 11 | | 45 | 53 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "was frozen" | | 1 | "being dragged" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 217 | | matches | | 0 | "was walking" | | 1 | "was circling" | | 2 | "was standing" | | 3 | "was almost searing" | | 4 | "was screaming" | | 5 | "wasn't just warning" | | 6 | "was cooling" | | 7 | "was still waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 110 | | ratio | 0.055 | | matches | | 0 | "Wildflowers choked the clearing at their base—frost-rimed bluebells and pale, waxen roses that smelled far too sweet for November." | | 1 | "She pressed the side button; nothing." | | 2 | "Instantly, the ambient sounds of London—the distant, low-frequency hum of the A316, the whine of a late-night flight climbing out of Heathrow—vanished." | | 3 | "Panic, cold and sharp, threatened to pull her under, but her cool-headed nature—the stubborn streak that had kept her alive in Cardiff and on the rain-slicked streets of London—fought back." | | 4 | "Then, the beam caught a pair of eyes reflecting the glare—not yellow like a cat's, nor red like a fox's, but a luminous, watery violet, set deep within a face that had no features to speak of, just smooth, pale skin stretched tight over a skull that was entirely too wide." | | 5 | "The pendant wasn't just warning her anymore; it was screaming." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 108 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.037037037037037035 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.018518518518518517 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 12.93 | | std | 9.49 | | cv | 0.734 | | sampleLengths | | 0 | 30 | | 1 | 20 | | 2 | 8 | | 3 | 34 | | 4 | 25 | | 5 | 7 | | 6 | 1 | | 7 | 2 | | 8 | 25 | | 9 | 13 | | 10 | 15 | | 11 | 24 | | 12 | 13 | | 13 | 2 | | 14 | 15 | | 15 | 18 | | 16 | 9 | | 17 | 7 | | 18 | 27 | | 19 | 19 | | 20 | 12 | | 21 | 13 | | 22 | 4 | | 23 | 4 | | 24 | 6 | | 25 | 19 | | 26 | 15 | | 27 | 22 | | 28 | 4 | | 29 | 8 | | 30 | 14 | | 31 | 7 | | 32 | 14 | | 33 | 9 | | 34 | 17 | | 35 | 9 | | 36 | 3 | | 37 | 13 | | 38 | 4 | | 39 | 13 | | 40 | 6 | | 41 | 5 | | 42 | 26 | | 43 | 13 | | 44 | 7 | | 45 | 16 | | 46 | 11 | | 47 | 4 | | 48 | 7 | | 49 | 15 |
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| 50.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.38181818181818183 | | totalSentences | 110 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 98 | | matches | | 0 | "Instantly, the ambient sounds of" | | 1 | "Even the wind died, dropping" | | 2 | "Just the gnarled bark and" | | 3 | "Only the absolute, suffocating silence." | | 4 | "Then came the sound." | | 5 | "Just the white light illuminating" | | 6 | "Then, the beam caught a" | | 7 | "Only two minutes had passed" |
| | ratio | 0.082 | |
| 64.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 98 | | matches | | 0 | "She pulled her wool coat" | | 1 | "She had not come here" | | 2 | "It was a faint, rhythmic" | | 3 | "They were ancient, monstrous things," | | 4 | "She pressed the side button;" | | 5 | "She took a step forward" | | 6 | "It wasn't just quiet." | | 7 | "It was an absolute, suffocating" | | 8 | "Her heart hammered a frantic" | | 9 | "she called out" | | 10 | "Her voice sounded flat, swallowed" | | 11 | "She swallowed hard, her mouth" | | 12 | "She was a practical person." | | 13 | "She had spent two years" | | 14 | "She knew how to analyze" | | 15 | "She had checked her watch" | | 16 | "It had read twelve-thirteen." | | 17 | "She looked down at her" | | 18 | "It came from behind the" | | 19 | "Her fingers slipped inside her" |
| | ratio | 0.388 | |
| 87.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 98 | | matches | | 0 | "The heavy canvas delivery bag" | | 1 | "She pulled her wool coat" | | 2 | "She had not come here" | | 3 | "The Golden Empress box tucked" | | 4 | "Eva needed answers about the" | | 5 | "Aurora reached up, her thumb" | | 6 | "It was a faint, rhythmic" | | 7 | "The crimson gemstone was no" | | 8 | "The path beneath her boots" | | 9 | "The trees here didn't look" | | 10 | "They were ancient, monstrous things," | | 11 | "Wildflowers choked the clearing at" | | 12 | "A chill crawled up the" | | 13 | "The air changed, growing thick" | | 14 | "Aurora checked her phone." | | 15 | "The screen was black." | | 16 | "She pressed the side button;" | | 17 | "The battery had been at" | | 18 | "She took a step forward" | | 19 | "It wasn't just quiet." |
| | ratio | 0.745 | |
| 51.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 98 | | matches | | 0 | "If you run, it chases.*" |
| | ratio | 0.01 | |
| 58.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 7 | | matches | | 0 | "They were ancient, monstrous things, their thick trunks twisted into impossible coils that seemed to lean inward, conspiring." | | 1 | "Wildflowers choked the clearing at their base—frost-rimed bluebells and pale, waxen roses that smelled far too sweet for November." | | 2 | "Far too tall, bending and folding in on itself in a way that defied human anatomy, limbs lengthening and shortening with a sickening elasticity." | | 3 | "Panic, cold and sharp, threatened to pull her under, but her cool-headed nature—the stubborn streak that had kept her alive in Cardiff and on the rain-slicked s…" | | 4 | "Then, the beam caught a pair of eyes reflecting the glare—not yellow like a cat's, nor red like a fox's, but a luminous, watery violet, set deep within a face t…" | | 5 | "She tore through the muddy path, branches whipping against her face, her boots slamming hard into the earth until her lungs burned and her throat tasted of copp…" | | 6 | "She leaned against a brick wall, gasping for air, her chest heaving as the cold London night wrapped around her once more." |
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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 | "Aurora demanded (demand)" |
| | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |