| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1464 | | 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) | |
| 24.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1464 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "silence" | | 1 | "throbbed" | | 2 | "pulse" | | 3 | "rhythmic" | | 4 | "echoes" | | 5 | "echoed" | | 6 | "scanned" | | 7 | "dance" | | 8 | "flickered" | | 9 | "pristine" | | 10 | "amidst" | | 11 | "porcelain" | | 12 | "perfect" | | 13 | "lilt" | | 14 | "racing" | | 15 | "shattered" | | 16 | "churning" |
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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 | 104 | | matches | (empty) | |
| 74.18% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1461 | | ratio | 0.002 | | matches | | 0 | "snap" | | 1 | "Squish-squash. Squish-squash." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1296 | | uniqueNames | 8 | | maxNameDensity | 1.39 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 18 | | Park | 1 | | London | 1 | | Heartstone | 6 | | Cardiff | 1 | | Welsh | 2 | | French | 1 | | Victorian | 1 |
| | persons | | | places | | 0 | "Park" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.806 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like someone walking through high" | | 1 | "felt like a lung holding its breath" | | 2 | "felt like hitting a brick wall" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.684 | | wordCount | 1461 | | matches | | 0 | "not away from the threat but toward it, slamming her fist" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 93.74% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 32.47 | | std | 15.52 | | cv | 0.478 | | sampleLengths | | 0 | 82 | | 1 | 69 | | 2 | 20 | | 3 | 61 | | 4 | 10 | | 5 | 51 | | 6 | 21 | | 7 | 27 | | 8 | 40 | | 9 | 45 | | 10 | 24 | | 11 | 47 | | 12 | 23 | | 13 | 56 | | 14 | 9 | | 15 | 41 | | 16 | 26 | | 17 | 25 | | 18 | 50 | | 19 | 32 | | 20 | 21 | | 21 | 24 | | 22 | 23 | | 23 | 41 | | 24 | 40 | | 25 | 25 | | 26 | 33 | | 27 | 32 | | 28 | 39 | | 29 | 13 | | 30 | 28 | | 31 | 37 | | 32 | 21 | | 33 | 25 | | 34 | 38 | | 35 | 7 | | 36 | 15 | | 37 | 32 | | 38 | 46 | | 39 | 14 | | 40 | 23 | | 41 | 37 | | 42 | 37 | | 43 | 30 | | 44 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 188 | | matches | | |
| 67.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 114 | | ratio | 0.026 | | matches | | 0 | "It wasn't just quiet; it was expectant." | | 1 | "She lunged forward, not away from the threat but toward it, slamming her fist—the one clutching the glowing Heartstone—into the porcelain face of the doll." | | 2 | "From the darkness of the willow tree, a new shape emerged—a tall, thin man in a tattered Victorian frock coat, his skin the colour of a drowned lung." |
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| 60.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1311 | | adjectiveStacks | 9 | | stackExamples | | 0 | "frantic, heat-bloated pulse" | | 1 | "small crescent-shaped scar" | | 2 | "dense, thorn-choked briars." | | 3 | "small, wooden child-sized chair." | | 4 | "old rectangular green French" | | 5 | "tiny, needle-sharp yellow teeth." | | 6 | "Thick, black oily tendrils" | | 7 | "thick, viscous red fluid" | | 8 | "ice-cold against her" |
| | adverbCount | 43 | | adverbRatio | 0.03279938977879481 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007627765064836003 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 12.82 | | std | 6.34 | | cv | 0.495 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 7 | | 3 | 27 | | 4 | 8 | | 5 | 7 | | 6 | 24 | | 7 | 26 | | 8 | 12 | | 9 | 4 | | 10 | 8 | | 11 | 8 | | 12 | 21 | | 13 | 15 | | 14 | 5 | | 15 | 20 | | 16 | 10 | | 17 | 2 | | 18 | 22 | | 19 | 13 | | 20 | 14 | | 21 | 21 | | 22 | 8 | | 23 | 4 | | 24 | 13 | | 25 | 1 | | 26 | 1 | | 27 | 18 | | 28 | 7 | | 29 | 15 | | 30 | 10 | | 31 | 20 | | 32 | 15 | | 33 | 8 | | 34 | 7 | | 35 | 9 | | 36 | 13 | | 37 | 18 | | 38 | 16 | | 39 | 11 | | 40 | 12 | | 41 | 17 | | 42 | 13 | | 43 | 26 | | 44 | 9 | | 45 | 11 | | 46 | 15 | | 47 | 15 | | 48 | 8 | | 49 | 6 |
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| 35.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.2894736842105263 | | totalSentences | 114 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 100 | | matches | | 0 | "Just a thick, ancient gnarled" | | 1 | "Instead, she stared at the" | | 2 | "Instead, a thick, viscous red" | | 3 | "Instead of a clock face," |
| | ratio | 0.04 | |
| 88.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 100 | | matches | | 0 | "Her boots hit the soft" | | 1 | "She didn’t stop to catch" | | 2 | "It wasn't the steady rhythm" | | 3 | "It cast a rhythmic, bloody" | | 4 | "Her voice sounded flat, stripped" | | 5 | "She moved deeper into the" | | 6 | "They bloomed in neon violets" | | 7 | "She crouched low, her black" | | 8 | "They twisted, their gnarled limbs" | | 9 | "she called out, though she" | | 10 | "It sounded like someone walking" | | 11 | "She spun, her hand diving" | | 12 | "She realised then that the" | | 13 | "It wasn't just quiet; it" | | 14 | "she muttered, her Welsh accent" | | 15 | "She turned and ran toward" | | 16 | "It was a delicate little" | | 17 | "It looked utterly out of" | | 18 | "It was glowing with a" | | 19 | "Her black hair, her blue" |
| | ratio | 0.33 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 100 | | matches | | 0 | "The silver chain bit into" | | 1 | "Her boots hit the soft" | | 2 | "She didn’t stop to catch" | | 3 | "Richmond Park lay somewhere behind" | | 4 | "The Heartstone pendant beneath her" | | 5 | "It wasn't the steady rhythm" | | 6 | "Aurora reached inside her collar," | | 7 | "It cast a rhythmic, bloody" | | 8 | "Her voice sounded flat, stripped" | | 9 | "Nothing answered but the scent" | | 10 | "She moved deeper into the" | | 11 | "The wildflowers here were wrong." | | 12 | "They bloomed in neon violets" | | 13 | "A sharp *snap* echoed from" | | 14 | "She crouched low, her black" | | 15 | "The trees here didn’t grow" | | 16 | "They twisted, their gnarled limbs" | | 17 | "she called out, though she" | | 18 | "The sound came again, but" | | 19 | "A rhythmic, wet crunch." |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "It wasn't the steady rhythm of a heartbeat, but a frantic, heat-bloated pulse that warned of something thin in the fabric of the world." | | 1 | "They bloomed in neon violets and bruised golds, their petals vibrating with a frantic energy that defied the midnight hour." | | 2 | "It was glowing with a steady, fierce light that illuminated the water." | | 3 | "It had no face, only a vertical slit that ran from its forehead down to its chest, lined with rows of tiny, needle-sharp yellow teeth." | | 4 | "She stepped closer to the chair, her shadow stretching out over the water, merging with the faceless thing in the reflection." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "she muttered, her Welsh accent thickening under the stress" | | 1 | "Aurora said, her voice trembling as she gripped her knife" | | 2 | "Aurora said, her mind racing" | | 3 | "the man said, his voice a dry rasp" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "Aurora whispered (whisper)" | | 1 | "she called out (call out)" | | 2 | "she muttered (mutter)" | | 3 | "the doll whispered (whisper)" | | 4 | "the doll shrieked (shriek)" |
| | dialogueSentences | 21 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0.455 | | effectiveRatio | 0.455 | |