| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1470 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "sharply" | | 3 | "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) | |
| 1.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1470 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "chill" | | 1 | "tension" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "throb" | | 5 | "stomach" | | 6 | "silence" | | 7 | "glistening" | | 8 | "echo" | | 9 | "variables" | | 10 | "fragmented" | | 11 | "pulse" | | 12 | "scanned" | | 13 | "treacherous" | | 14 | "echoed" | | 15 | "fractured" | | 16 | "flickered" | | 17 | "raced" | | 18 | "calculating" | | 19 | "calculated" | | 20 | "familiar" | | 21 | "synchronized" | | 22 | "footfall" | | 23 | "weight" | | 24 | "warmth" |
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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 | 164 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 164 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 164 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1465 | | ratio | 0 | | matches | (empty) | |
| 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 | 19 | | wordCount | 1428 | | uniqueNames | 13 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | November | 1 | | British | 1 | | Heartstone | 1 | | Ring | 1 | | Road | 1 | | Eva | 1 | | Fae | 1 | | Grove | 1 | | Evan | 1 | | Hel | 2 | | Rory | 6 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Ring" | | 3 | "Road" | | 4 | "Fae" | | 5 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed thicker than the moonlight could account for, pooling in shapes that lingered a fraction too long after she looked away" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.048 | | wordCount | 1465 | | matches | | 0 | "Not wood on stone, but knuckle on knuckle" | | 1 | "no eyes but" | | 2 | "not with a roar, but with a single, synchronized footfall from every direction at" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 164 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 69.76 | | std | 42.95 | | cv | 0.616 | | sampleLengths | | 0 | 212 | | 1 | 77 | | 2 | 81 | | 3 | 32 | | 4 | 119 | | 5 | 15 | | 6 | 100 | | 7 | 125 | | 8 | 56 | | 9 | 63 | | 10 | 62 | | 11 | 31 | | 12 | 53 | | 13 | 85 | | 14 | 61 | | 15 | 54 | | 16 | 48 | | 17 | 9 | | 18 | 55 | | 19 | 49 | | 20 | 78 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 164 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 258 | | matches | | 0 | "was walking" | | 1 | "was shrinking" |
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| 73.17% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 164 | | ratio | 0.024 | | matches | | 0 | "The park’s usual nighttime chorus—the distant moan of traffic on the Ring Road, the scratch of voles under leaf litter, the wind combing through the canopy—had vanished." | | 1 | "Time didn’t tick forward in here; it pooled and eddied, unpredictable and treacherous." | | 2 | "It stood rigid, then turned its head—a smooth, impossible rotation—and fixed her with a stare that had no eyes but somehow saw everything." | | 3 | "The silence broke—not with a roar, but with a single, synchronized footfall from every direction at once." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 193 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.03626943005181347 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0051813471502590676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 164 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 164 | | mean | 8.93 | | std | 8.01 | | cv | 0.897 | | sampleLengths | | 0 | 26 | | 1 | 14 | | 2 | 20 | | 3 | 15 | | 4 | 20 | | 5 | 31 | | 6 | 15 | | 7 | 9 | | 8 | 49 | | 9 | 13 | | 10 | 4 | | 11 | 2 | | 12 | 7 | | 13 | 9 | | 14 | 23 | | 15 | 18 | | 16 | 14 | | 17 | 4 | | 18 | 8 | | 19 | 1 | | 20 | 1 | | 21 | 2 | | 22 | 27 | | 23 | 15 | | 24 | 5 | | 25 | 2 | | 26 | 16 | | 27 | 3 | | 28 | 4 | | 29 | 25 | | 30 | 4 | | 31 | 3 | | 32 | 2 | | 33 | 2 | | 34 | 2 | | 35 | 25 | | 36 | 7 | | 37 | 3 | | 38 | 10 | | 39 | 23 | | 40 | 3 | | 41 | 2 | | 42 | 9 | | 43 | 12 | | 44 | 5 | | 45 | 7 | | 46 | 3 | | 47 | 1 | | 48 | 6 | | 49 | 5 |
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| 62.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.43558282208588955 | | totalSentences | 163 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 133 | | matches | | 0 | "Instead, the air inside the" | | 1 | "Just the pale sweep of" | | 2 | "All consistent with the fragmented" | | 3 | "Too close for a falling" | | 4 | "Maybe twenty yards ahead." | | 5 | "Maybe twenty minutes." | | 6 | "Then, five seconds later, it" | | 7 | "Somewhere beyond the ring of" | | 8 | "Only the rustle of leaves," | | 9 | "Just silhouettes that mirrored her" |
| | ratio | 0.075 | |
| 75.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 133 | | matches | | 0 | "They jutted from the earth" | | 1 | "She kept her chin down," | | 2 | "Her fingers instinctively dipped into" | | 3 | "It wasn’t much more than" | | 4 | "It pulsed now, a slow," | | 5 | "She checked her watch." | | 6 | "She rubbed the small crescent-shaped" | | 7 | "She turned her head slowly." | | 8 | "Her voice didn’t echo." | | 9 | "It fell out of her" | | 10 | "She exhaled, forcing calm." | | 11 | "It bent them." | | 12 | "She adjusted the strap of" | | 13 | "She’d learned leverage in law" | | 14 | "You didn’t fight the current." | | 15 | "You found the seam and" | | 16 | "It sounded like a footstep." | | 17 | "She scanned the periphery." | | 18 | "It was just a knot" | | 19 | "She couldn’t tell anymore." |
| | ratio | 0.361 | |
| 95.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 133 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "They jutted from the earth" | | 2 | "Rory stepped past them, her" | | 3 | "She kept her chin down," | | 4 | "Her fingers instinctively dipped into" | | 5 | "The Heartstone pendant pressed against" | | 6 | "It wasn’t much more than" | | 7 | "It pulsed now, a slow," | | 8 | "She checked her watch." | | 9 | "The discrepancy sat in her" | | 10 | "She rubbed the small crescent-shaped" | | 11 | "The path dissolved into a" | | 12 | "The pendant pulled her forward," | | 13 | "Something clicked behind her." | | 14 | "The park’s usual nighttime chorus—the" | | 15 | "She turned her head slowly." | | 16 | "Her voice didn’t echo." | | 17 | "It fell out of her" | | 18 | "She exhaled, forcing calm." | | 19 | "The Fae Grove didn’t obey" |
| | ratio | 0.729 | |
| 75.19% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 133 | | matches | | 0 | "To the threshold." | | 1 | "To whatever lay on the" |
| | ratio | 0.015 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 10 | | matches | | 0 | "White starflower, purple heather, even late-blooming nightshade curled around her ankles, thriving in a climate that defied the British winter." | | 1 | "She kept her chin down, shoulders squared against the chill, her straight black hair pinned back in a severe knot that did little to mask the tension coiling in…" | | 2 | "In its place was a thick, woolen silence that made her own breathing sound obscene." | | 3 | "Or worse, it got you trapped in rooms with people who told you they loved you while they took everything anyway." | | 4 | "It was a slow, rattling intake of air, followed by a sharp exhale that sounded exactly like a sigh of relief." | | 5 | "The moonlight fractured into slivers between the canopy, casting long, distorted shadows that stretched toward her feet instead of away." | | 6 | "Just silhouettes that mirrored her movements with a half-second delay." | | 7 | "It stood rigid, then turned its head—a smooth, impossible rotation—and fixed her with a stare that had no eyes but somehow saw everything." | | 8 | "She knew the shape of the thing standing directly behind her, mirroring her posture, sharing her space, breathing in time with her." | | 9 | "She simply waited, listening to the quiet scrape of something shifting weight beside her ear, feeling the unnatural warmth of a presence press closer until the …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |