| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1613 | | 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) | |
| 28.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1613 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | word | "the last thing" | | count | 1 |
| | 17 | |
| | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "electric" | | 3 | "loomed" | | 4 | "silence" | | 5 | "resonance" | | 6 | "oppressive" | | 7 | "chilling" | | 8 | "velvet" | | 9 | "etched" | | 10 | "gloom" | | 11 | "intensity" | | 12 | "stomach" | | 13 | "flickered" | | 14 | "silk" | | 15 | "weight" | | 16 | "the last thing" | | 17 | "echoed" |
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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 | 119 | | matches | (empty) | |
| 82.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 28 | | totalWords | 1582 | | ratio | 0.018 | | matches | | 0 | "Don't bring anyone." | | 1 | "Fae logic is circular. If you want to leave, stop trying to go back the way you came. Go where you’re most afraid to step." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1392 | | uniqueNames | 12 | | maxNameDensity | 1.44 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 6 | | Rory | 20 | | Richmond | 2 | | London | 1 | | Fae | 2 | | Grove | 3 | | British | 1 | | Evan | 1 | | Eva | 13 | | Eva-thing | 3 | | Silas | 1 | | Cardiff-bred | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Eva" | | 4 | "Eva-thing" | | 5 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "London" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.782 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 7 | | matches | | 0 | "felt like walking through a wall of col" | | 1 | "quite align with the objects casting them" | | 2 | "sounded like Eva, but the inflection was s" | | 3 | "looked like peeled birch branches" | | 4 | "sounded like it was being shouted from the" | | 5 | "felt like hitting a bundle of frozen fi" | | 6 | "felt like falling into a cloud of ash" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1582 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 28.25 | | std | 20.63 | | cv | 0.73 | | sampleLengths | | 0 | 69 | | 1 | 17 | | 2 | 62 | | 3 | 16 | | 4 | 21 | | 5 | 83 | | 6 | 10 | | 7 | 27 | | 8 | 23 | | 9 | 20 | | 10 | 1 | | 11 | 4 | | 12 | 39 | | 13 | 29 | | 14 | 51 | | 15 | 23 | | 16 | 7 | | 17 | 43 | | 18 | 7 | | 19 | 19 | | 20 | 54 | | 21 | 14 | | 22 | 31 | | 23 | 43 | | 24 | 3 | | 25 | 50 | | 26 | 11 | | 27 | 59 | | 28 | 36 | | 29 | 15 | | 30 | 71 | | 31 | 45 | | 32 | 3 | | 33 | 33 | | 34 | 3 | | 35 | 41 | | 36 | 32 | | 37 | 23 | | 38 | 45 | | 39 | 31 | | 40 | 25 | | 41 | 3 | | 42 | 40 | | 43 | 5 | | 44 | 51 | | 45 | 4 | | 46 | 62 | | 47 | 7 | | 48 | 36 | | 49 | 10 |
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| 93.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 119 | | matches | | 0 | "was pulled" | | 1 | "was gone" | | 2 | "being shouted" | | 3 | "being crushed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 233 | | matches | | 0 | "were reading" | | 1 | "wasn't coming" | | 2 | "was coming" |
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| 37.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 136 | | ratio | 0.037 | | matches | | 0 | "Then, a low, wet sound followed—the noise of a heavy tongue licking a jagged surface." | | 1 | "Not her neck—her entire torso rotated on her hips with a series of dry, wooden clicks." | | 2 | "It wasn't a monster from a film, but a collection of discarded things—wet hair, shards of mirror, and long, spindly limbs that looked like peeled birch branches." | | 3 | "The sound wasn't a scream; it was the sound of a thousand dry leaves being crushed at once." | | 4 | "She grabbed a heavy, discarded branch from the ground—a piece of the oak stones that had fallen centuries ago—and swung it with every bit of Cardiff-bred rage she possessed." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 408 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 10 | | adverbRatio | 0.024509803921568627 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004901960784313725 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 11.63 | | std | 7.95 | | cv | 0.684 | | sampleLengths | | 0 | 17 | | 1 | 26 | | 2 | 26 | | 3 | 5 | | 4 | 12 | | 5 | 16 | | 6 | 25 | | 7 | 21 | | 8 | 16 | | 9 | 2 | | 10 | 19 | | 11 | 14 | | 12 | 4 | | 13 | 21 | | 14 | 14 | | 15 | 20 | | 16 | 10 | | 17 | 10 | | 18 | 2 | | 19 | 25 | | 20 | 23 | | 21 | 3 | | 22 | 15 | | 23 | 1 | | 24 | 1 | | 25 | 1 | | 26 | 4 | | 27 | 19 | | 28 | 20 | | 29 | 29 | | 30 | 14 | | 31 | 11 | | 32 | 26 | | 33 | 8 | | 34 | 4 | | 35 | 11 | | 36 | 7 | | 37 | 11 | | 38 | 10 | | 39 | 6 | | 40 | 12 | | 41 | 2 | | 42 | 2 | | 43 | 7 | | 44 | 3 | | 45 | 16 | | 46 | 5 | | 47 | 31 | | 48 | 3 | | 49 | 3 |
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| 35.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.25735294117647056 | | totalSentences | 136 | | uniqueOpeners | 35 | |
| 60.06% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 111 | | matches | | 0 | "Then, a low, wet sound" | | 1 | "Then, the heat of the" |
| | ratio | 0.018 | |
| 83.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 111 | | matches | | 0 | "She pressed her palm over" | | 1 | "She stepped between the pillars." | | 2 | "She checked her phone." | | 3 | "She tucked the useless device" | | 4 | "She squinted into the gloom," | | 5 | "It sounded like Eva, but" | | 6 | "It wore Eva’s oversized denim" | | 7 | "Her head didn't turn." | | 8 | "they didn't blink." | | 9 | "They stared with a glassy," | | 10 | "She stepped back, her boots" | | 11 | "It wasn't a monster from" | | 12 | "It dragged itself onto the" | | 13 | "It had no face, only" | | 14 | "Her limbs lengthened as she" | | 15 | "She dived to the right," | | 16 | "She needed a gap." | | 17 | "She remembered what Silas had" | | 18 | "It moved with a terrifying," | | 19 | "It wasn't coming from the" |
| | ratio | 0.342 | |
| 32.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 111 | | matches | | 0 | "The Heartstone pendant thrummed against" | | 1 | "She pressed her palm over" | | 2 | "The ancient oak standing stones" | | 3 | "She stepped between the pillars." | | 4 | "The transition felt like walking" | | 5 | "Silence swallowed the distant hum" | | 6 | "Rory’s voice sounded thin, stripped" | | 7 | "Eva's text had been a" | | 8 | "Rory moved deeper, her trainers" | | 9 | "She checked her phone." | | 10 | "The screen remained dark, the" | | 11 | "She tucked the useless device" | | 12 | "The old injury etched by" | | 13 | "A soft rustle came from" | | 14 | "She squinted into the gloom," | | 15 | "The rustle stopped." | | 16 | "The voice came from behind" | | 17 | "It sounded like Eva, but" | | 18 | "Rory rounded the tree, her" | | 19 | "The crimson glare illuminated a" |
| | ratio | 0.856 | |
| 45.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 111 | | matches | | | ratio | 0.009 | |
| 6.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 12 | | matches | | 0 | "The Heartstone pendant thrummed against Rory's collarbone, a rhythmic, frantic pulse that mimicked a dying bird's heartbeat." | | 1 | "The ancient oak standing stones of the Richmond grove loomed ahead, their gnarled surfaces slick with a moisture that smelled faintly of ozone and rotted honey." | | 2 | "Inside the Fae Grove, the air hung motionless, thick with the scent of wildflowers that shouldn't be blooming in the middle of a British autumn." | | 3 | "Glowing foxfire clung to the undersides of leaves, casting long, jittery shadows that didn't quite align with the objects casting them." | | 4 | "Rory moved deeper, her trainers sinking into moss that felt uncomfortably like velvet-covered flesh." | | 5 | "It sounded like Eva, but the inflection was stiff, as if someone were reading the words from a phonetic script." | | 6 | "In its place stood a wall of thorns that grew with visible, twitching speed, weaving themselves into a cage of black needles." | | 7 | "The Heartstone flared, a blinding burst of ultraviolet light that made the monsters shriek." | | 8 | "She grabbed a heavy, discarded branch from the ground—a piece of the oak stones that had fallen centuries ago—and swung it with every bit of Cardiff-bred rage s…" | | 9 | "The Heartstone's pulse became a continuous vibration, a roar of energy that turned the silver chain white-hot." | | 10 | "As she sank, the last thing she saw was the Eva-thing’s face peering down from the surface, its features melting away until it was just a blank, wooden mask." | | 11 | "The silk cocoon beside her tore open, and Eva spilled out, gasping and shivering, her eyes wide with a terror that surpassed simple fear." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva whispered, her voice a fragile thread" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "the Eva-thing whispered (whisper)" | | 1 | "the Eva-thing howled (howl)" | | 2 | "Eva whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.75 | | effectiveRatio | 0.261 | |