| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1376 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 45.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1376 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "traced" | | 3 | "perfect" | | 4 | "footsteps" | | 5 | "whisper" | | 6 | "familiar" | | 7 | "silence" | | 8 | "pulse" | | 9 | "throbbed" | | 10 | "echo" |
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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 | 1 | | narrationSentences | 144 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 144 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1363 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1342 | | uniqueNames | 14 | | maxNameDensity | 0.67 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "November" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Heartstone | 3 | | Pendant | 1 | | London | 1 | | English | 2 | | Heritage | 1 | | November | 2 | | England | 1 | | Welsh | 2 | | Cardiff | 1 | | Eva | 1 | | Sunday | 1 | | Rory | 9 |
| | persons | | 0 | "Pendant" | | 1 | "Heritage" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "London" | | 3 | "November" | | 4 | "England" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 2 | | matches | | 0 | "landmarks that seemed to shift when she wasn't looking directly at them" | | 1 | "sounded like questions" |
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| 53.26% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.467 | | wordCount | 1363 | | matches | | 0 | "Not much, but it was something" | | 1 | "not running but not walking either" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 29.63 | | std | 19.31 | | cv | 0.652 | | sampleLengths | | 0 | 23 | | 1 | 63 | | 2 | 71 | | 3 | 13 | | 4 | 70 | | 5 | 6 | | 6 | 55 | | 7 | 21 | | 8 | 13 | | 9 | 38 | | 10 | 57 | | 11 | 25 | | 12 | 12 | | 13 | 6 | | 14 | 38 | | 15 | 58 | | 16 | 31 | | 17 | 11 | | 18 | 4 | | 19 | 41 | | 20 | 2 | | 21 | 55 | | 22 | 8 | | 23 | 40 | | 24 | 15 | | 25 | 30 | | 26 | 20 | | 27 | 41 | | 28 | 9 | | 29 | 5 | | 30 | 48 | | 31 | 28 | | 32 | 23 | | 33 | 39 | | 34 | 9 | | 35 | 57 | | 36 | 59 | | 37 | 22 | | 38 | 12 | | 39 | 28 | | 40 | 39 | | 41 | 10 | | 42 | 32 | | 43 | 33 | | 44 | 30 | | 45 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 144 | | matches | | |
| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 224 | | matches | | 0 | "wasn't looking" | | 1 | "was tasting" | | 2 | "was blinking" | | 3 | "were walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 147 | | ratio | 0.082 | | matches | | 0 | "She'd been here before—twice in daylight, once at dusk—but never at night." | | 1 | "The petals luminesced just enough to illuminate the soil beneath them—soil that was too dark, too rich, too much like something that had been fed." | | 2 | "Their surfaces bore carvings she'd never been able to photograph properly—the images always came out blurred, as though the stones refused to be recorded." | | 3 | "The oaks beyond them were still—too still for a November night in England where the wind never properly stopped." | | 4 | "\"Okay.\" She spoke to herself the way she spoke when making a decision in court documents—steady, reasoned." | | 5 | "The darkness rushed in to fill the gaps, and with it came a smell—loamy and thick and wrong in a way she couldn't name." | | 6 | "But the tone was familiar—the cadence of someone giving instructions." | | 7 | "And the figures that definitely weren't human—" | | 8 | "She grabbed the chain to pull it off and yelped—the silver had heated enough to leave a mark." | | 9 | "It came from behind the largest stone—the one whose carvings she'd refused to examine closely." | | 10 | "She saw only the edge of it—a limb, a joint, something that bent the wrong way—before she forced herself to look away." | | 11 | "That was the wrong part—the absence of pain where pain should have been." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1357 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.03758290346352248 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008843036109064112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 9.27 | | std | 6.6 | | cv | 0.712 | | sampleLengths | | 0 | 23 | | 1 | 12 | | 2 | 12 | | 3 | 26 | | 4 | 1 | | 5 | 1 | | 6 | 11 | | 7 | 12 | | 8 | 5 | | 9 | 20 | | 10 | 29 | | 11 | 5 | | 12 | 8 | | 13 | 5 | | 14 | 9 | | 15 | 16 | | 16 | 25 | | 17 | 5 | | 18 | 15 | | 19 | 2 | | 20 | 4 | | 21 | 19 | | 22 | 24 | | 23 | 2 | | 24 | 6 | | 25 | 4 | | 26 | 5 | | 27 | 5 | | 28 | 11 | | 29 | 13 | | 30 | 4 | | 31 | 11 | | 32 | 13 | | 33 | 1 | | 34 | 9 | | 35 | 5 | | 36 | 7 | | 37 | 19 | | 38 | 4 | | 39 | 22 | | 40 | 17 | | 41 | 8 | | 42 | 4 | | 43 | 8 | | 44 | 6 | | 45 | 15 | | 46 | 6 | | 47 | 17 | | 48 | 5 | | 49 | 15 |
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| 41.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3129251700680272 | | totalSentences | 147 | | uniqueOpeners | 46 | |
| 52.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 127 | | matches | | 0 | "Then the wildflowers at the" | | 1 | "Just the stones, their carvings" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 127 | | matches | | 0 | "She'd been here before—twice in" | | 1 | "she muttered to the empty" | | 2 | "She knelt beside a cluster" | | 3 | "Her phone said 2:47 AM." | | 4 | "Their surfaces bore carvings she'd" | | 5 | "Her footsteps made no sound." | | 6 | "She'd reached the middle of" | | 7 | "She turned a full circle." | | 8 | "She checked the pendant." | | 9 | "Its glow had intensified, the" | | 10 | "She spoke to herself the" | | 11 | "She flipped it open by" | | 12 | "She backed toward the stone" | | 13 | "Her heel caught on something" | | 14 | "She looked away." | | 15 | "Her pulse hammered in her" | | 16 | "She snapped her head toward" | | 17 | "She might have imagined it." | | 18 | "She moved toward the entrance" | | 19 | "She reached the gap between" |
| | ratio | 0.26 | |
| 38.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 127 | | matches | | 0 | "Rory stepped through the gap" | | 1 | "The Fae Grove opened before" | | 2 | "She'd been here before—twice in" | | 3 | "The standing stones that marked" | | 4 | "Nothing like the warm crimson" | | 5 | "The Heartstone Pendant pressed against" | | 6 | "That was why she'd come." | | 7 | "Tonight, the trail ended here." | | 8 | "she muttered to the empty" | | 9 | "The wildflowers shouldn't have been" | | 10 | "She knelt beside a cluster" | | 11 | "The petals luminesced just enough" | | 12 | "Her phone said 2:47 AM." | | 13 | "The time felt wrong in" | | 14 | "The pendant pulsed harder." | | 15 | "The clearing was roughly circular," | | 16 | "Their surfaces bore carvings she'd" | | 17 | "Figures that might have been" | | 18 | "Figures that definitely weren't." | | 19 | "Rory walked toward the centre." |
| | ratio | 0.843 | |
| 39.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 127 | | matches | | 0 | "As though something very large" |
| | ratio | 0.008 | |
| 76.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 5 | | matches | | 0 | "The standing stones that marked the boundary caught moonlight in ways the oaks outside didn't, as though the stones themselves held their own source of illumina…" | | 1 | "Three nights, she'd traced the pull across London on her motorbike, through streets she didn't recognise, past landmarks that seemed to shift when she wasn't lo…" | | 2 | "The petals luminesced just enough to illuminate the soil beneath them—soil that was too dark, too rich, too much like something that had been fed." | | 3 | "She flipped it open by feel, the blade catching the moonlight that shouldn't have been this bright." | | 4 | "The wildflowers cast their red light across her face, her hands, the knife that looked absurdly small in her grip." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "She spoke (speak)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |