| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1362 | | totalAiIsmAdverbs | 1 | | 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) | |
| 33.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1362 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "whisper" | | 1 | "footsteps" | | 2 | "predator" | | 3 | "warmth" | | 4 | "pulsed" | | 5 | "quickened" | | 6 | "echo" | | 7 | "weight" | | 8 | "reminder" | | 9 | "pulse" | | 10 | "resolved" | | 11 | "flickered" | | 12 | "fractured" | | 13 | "flicked" | | 14 | "the last thing" |
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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 | 138 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 138 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1368 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1246 | | uniqueNames | 10 | | maxNameDensity | 1.12 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 14 | | Richmond | 1 | | Park | 1 | | Grove | 6 | | Heartstone | 2 | | Fae | 2 | | Eva | 1 | | London | 1 | | Hel | 1 | | Silas | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Grove" | | 2 | "Eva" | | 3 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "London" |
| | globalScore | 0.938 | | windowScore | 0.833 | |
| 64.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite a deer, not quite a hound, with limbs that bent too many ways at once and eyes that swallowed up the light" | | 1 | "not quite a hound, with limbs that bent too many ways at once and eyes that swallowed up the light" | | 2 | "as if assessing it for poison" | | 3 | "as if waking from a long, bored sleep" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 5 | | per1kWords | 3.655 | | wordCount | 1368 | | matches | | 0 | "not a boundary, but a warning" | | 1 | "Neither predator nor" | | 2 | "not rot, not earth, but a raw sweetness, like overripe fruit left out for too long" | | 3 | "not earth, but a raw sweetness, like overripe fruit left out for too long" | | 4 | "Not with words, but in the swaying not-human cadence of fae bound to earth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 150 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 27.92 | | std | 18.66 | | cv | 0.668 | | sampleLengths | | 0 | 57 | | 1 | 72 | | 2 | 57 | | 3 | 48 | | 4 | 32 | | 5 | 23 | | 6 | 39 | | 7 | 35 | | 8 | 63 | | 9 | 11 | | 10 | 18 | | 11 | 10 | | 12 | 10 | | 13 | 2 | | 14 | 51 | | 15 | 43 | | 16 | 76 | | 17 | 47 | | 18 | 18 | | 19 | 17 | | 20 | 48 | | 21 | 27 | | 22 | 42 | | 23 | 22 | | 24 | 15 | | 25 | 33 | | 26 | 26 | | 27 | 7 | | 28 | 29 | | 29 | 3 | | 30 | 45 | | 31 | 13 | | 32 | 54 | | 33 | 24 | | 34 | 14 | | 35 | 7 | | 36 | 23 | | 37 | 10 | | 38 | 8 | | 39 | 20 | | 40 | 14 | | 41 | 18 | | 42 | 27 | | 43 | 14 | | 44 | 11 | | 45 | 5 | | 46 | 42 | | 47 | 23 | | 48 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 195 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 150 | | ratio | 0.087 | | matches | | 0 | "Not a clean break — the wood gave with a sound like a knuckle popping, half-muffled beneath a spill of startled breath." | | 1 | "A late delivery, lost phone signal, missed shortcut — mundane lies for a place that wanted none of her logic." | | 2 | "Easier now to imagine purpose in the way those oaks leaned together, the ring they made — not a boundary, but a warning." | | 3 | "Someone — something — watched." | | 4 | "She pressed on, careful to let her hands brush the twisted bark of the boundary oaks as she passed — a small foolish hope that they’d recognise her as a guest and not…" | | 5 | "She counted the shadows, mouth dry and unsteady: oak, oak, standing stone, bramble, oak, wildflowers — pause." | | 6 | "Her left wrist stung in the cold, scar waking under pressure — little crescent of memory that always itched at the worst times." | | 7 | "Someone — or something — had been moving through London at dusk, opening scars in reality." | | 8 | "A shape limned itself — not quite a deer, not quite a hound, with limbs that bent too many ways at once and eyes that swallowed up the light." | | 9 | "The wildflowers tangled, snagging at her calves — subtle, almost playful." | | 10 | "Not in her ear — behind her, too close — too low and fluid for a human tongue." | | 11 | "A woman emerged — not old, not young, not beautiful by any fairytale measure." | | 12 | "The last thing she saw before the dark claimed the clearing — a crown of antlers, rising behind the standing stones." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1240 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.03225806451612903 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.00967741935483871 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 9.12 | | std | 6.88 | | cv | 0.754 | | sampleLengths | | 0 | 6 | | 1 | 22 | | 2 | 8 | | 3 | 3 | | 4 | 18 | | 5 | 14 | | 6 | 38 | | 7 | 20 | | 8 | 3 | | 9 | 12 | | 10 | 19 | | 11 | 23 | | 12 | 4 | | 13 | 2 | | 14 | 7 | | 15 | 19 | | 16 | 16 | | 17 | 6 | | 18 | 1 | | 19 | 8 | | 20 | 8 | | 21 | 9 | | 22 | 5 | | 23 | 4 | | 24 | 2 | | 25 | 12 | | 26 | 33 | | 27 | 6 | | 28 | 4 | | 29 | 2 | | 30 | 16 | | 31 | 13 | | 32 | 10 | | 33 | 7 | | 34 | 7 | | 35 | 3 | | 36 | 9 | | 37 | 17 | | 38 | 10 | | 39 | 3 | | 40 | 5 | | 41 | 3 | | 42 | 11 | | 43 | 2 | | 44 | 5 | | 45 | 10 | | 46 | 4 | | 47 | 6 | | 48 | 2 | | 49 | 9 |
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| 63.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.42 | | totalSentences | 150 | | uniqueOpeners | 63 | |
| 86.21% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 116 | | matches | | 0 | "Too high and bright for" | | 1 | "Only tangled undergrowth." | | 2 | "Then, from the trees, a" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 116 | | matches | | 0 | "She stilled so sharply it" | | 1 | "She had crossed the last" | | 2 | "She inched onward." | | 3 | "She pressed on, careful to" | | 4 | "She tightened her fingers around" | | 5 | "She counted the shadows, mouth" | | 6 | "She didn’t blink." | | 7 | "Her voice surprised her, low" | | 8 | "She steadied her breath." | | 9 | "Her left wrist stung in" | | 10 | "She pinched it, just for" | | 11 | "She pictured what Eva would" | | 12 | "She’d come to the Fae" | | 13 | "She remembered copper in her" | | 14 | "Its mouth shaped a sound" | | 15 | "It built, layering beneath her" | | 16 | "She backed away a step." | | 17 | "She jerked free, ready to" | | 18 | "Her mouth shaped a language" | | 19 | "She kept her hands steady" |
| | ratio | 0.207 | |
| 37.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 116 | | matches | | 0 | "The root snapped beneath Aurora’s" | | 1 | "She stilled so sharply it" | | 2 | "Every muscle braced." | | 3 | "The darkness pressed down, thick," | | 4 | "She had crossed the last" | | 5 | "A late delivery, lost phone" | | 6 | "She inched onward." | | 7 | "Wildflowers tangled around her shins," | | 8 | "The ground sloped toward the" | | 9 | "A branch creaked overhead." | | 10 | "The park behind her should" | | 11 | "Here, at the rim of" | | 12 | "A far-off laugh shredded her" | | 13 | "Teeth in it, like a" | | 14 | "Aurora bit her lip, using" | | 15 | "Someone — something — watched." | | 16 | "Neither predator nor prey." | | 17 | "The sort of attention given" | | 18 | "She pressed on, careful to" | | 19 | "whatever else crawled through here," |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 116 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "A late delivery, lost phone signal, missed shortcut — mundane lies for a place that wanted none of her logic." | | 1 | "Aurora widened her stance, channelling the flat, bored voice that had seen off late-night punters at Silas’s bar." | | 2 | "Root systems rippled beneath the moss, flexing as if waking from a long, bored sleep." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "She pictured (picture)" |
| | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.5 | | effectiveRatio | 0.1 | |