| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1083 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 16.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1083 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "chill" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "vibrated" | | 4 | "whisper" | | 5 | "echoed" | | 6 | "pulsed" | | 7 | "fractured" | | 8 | "structure" | | 9 | "profound" | | 10 | "resolving" | | 11 | "echo" | | 12 | "stomach" | | 13 | "glistening" | | 14 | "wavered" | | 15 | "perfect" |
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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 | 74 | | matches | | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 29 | | totalWords | 1075 | | ratio | 0.027 | | matches | | 0 | "The air is glutted," | | 1 | "It tastes of want." | | 2 | "This place is a siren’s song," | | 3 | "It invites you to drown in sweetness." | | 4 | "They ate their fill and yet they starve." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1031 | | uniqueNames | 8 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Rory | 11 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | Nyx | 4 | | Fae-forged | 1 | | Isolde | 4 |
| | persons | | | places | | | globalScore | 0.967 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 5 | | matches | | 0 | "something like warm spices and sun-baked ear" | | 1 | "thrum that seemed to emanate from the soil itself" | | 2 | "looked like stained glass, casting fractu" | | 3 | "looked like caramelised sugar" | | 4 | "saw a goblet, seemingly made of spun sugar" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.93 | | wordCount | 1075 | | matches | | 0 | "not in her ear, but inside her head, a rustle of dry leaves" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 46.74 | | std | 29.31 | | cv | 0.627 | | sampleLengths | | 0 | 66 | | 1 | 73 | | 2 | 32 | | 3 | 49 | | 4 | 44 | | 5 | 24 | | 6 | 95 | | 7 | 4 | | 8 | 30 | | 9 | 76 | | 10 | 43 | | 11 | 53 | | 12 | 19 | | 13 | 60 | | 14 | 83 | | 15 | 16 | | 16 | 10 | | 17 | 16 | | 18 | 118 | | 19 | 52 | | 20 | 37 | | 21 | 8 | | 22 | 67 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "was stained" | | 1 | "were swallowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1039 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, bell-shaped pods" |
| | adverbCount | 19 | | adverbRatio | 0.01828681424446583 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004812319538017324 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.78 | | std | 6.97 | | cv | 0.506 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 28 | | 3 | 8 | | 4 | 13 | | 5 | 15 | | 6 | 17 | | 7 | 20 | | 8 | 25 | | 9 | 5 | | 10 | 2 | | 11 | 17 | | 12 | 19 | | 13 | 13 | | 14 | 24 | | 15 | 20 | | 16 | 20 | | 17 | 4 | | 18 | 13 | | 19 | 18 | | 20 | 15 | | 21 | 27 | | 22 | 22 | | 23 | 4 | | 24 | 21 | | 25 | 9 | | 26 | 4 | | 27 | 4 | | 28 | 18 | | 29 | 9 | | 30 | 8 | | 31 | 33 | | 32 | 9 | | 33 | 5 | | 34 | 16 | | 35 | 6 | | 36 | 7 | | 37 | 19 | | 38 | 34 | | 39 | 12 | | 40 | 7 | | 41 | 18 | | 42 | 13 | | 43 | 9 | | 44 | 15 | | 45 | 5 | | 46 | 10 | | 47 | 6 | | 48 | 14 | | 49 | 15 |
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| 55.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3974358974358974 | | totalSentences | 78 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 83.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 73 | | matches | | 0 | "She took a breath and" | | 1 | "Her hand went to her" | | 2 | "It had led them here." | | 3 | "She stood beside Rory, her" | | 4 | "She left no impression on" | | 5 | "*It tastes of want.*" | | 6 | "They started to walk, moving" | | 7 | "They approached the riverbank." | | 8 | "It was not water." | | 9 | "It flowed thick and slow," | | 10 | "It was a beautiful, suffocating" | | 11 | "It was a cage gilded" | | 12 | "Its wide, flat cap was" | | 13 | "*It invites you to drown" | | 14 | "She reached out to touch" | | 15 | "She pulled her hand back." | | 16 | "They passed from the orchard" | | 17 | "It was less a building" | | 18 | "It was empty, yet not." | | 19 | "It coated her tongue, a" |
| | ratio | 0.342 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 73 | | matches | | 0 | "The world dissolved into a" | | 1 | "The damp chill of the" | | 2 | "She took a breath and" | | 3 | "A sky of warm, liquid" | | 4 | "Grapevines, thick as her arm," | | 5 | "The grapes that hung from" | | 6 | "Orchards stretched to a hazy" | | 7 | "Her hand went to her" | | 8 | "It had led them here." | | 9 | "Isolde’s voice was a calm" | | 10 | "She stood beside Rory, her" | | 11 | "She left no impression on" | | 12 | "Nyx coalesced at Rory’s other" | | 13 | "The light of this place" | | 14 | "*The air is glutted,* Nyx’s" | | 15 | "*It tastes of want.*" | | 16 | "Rory’s fingers found the hilt" | | 17 | "The moonsilver was a shock" | | 18 | "They started to walk, moving" | | 19 | "A low, melodic hum vibrated" |
| | ratio | 0.932 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Before her, a landscape of" |
| | ratio | 0.014 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 8 | | matches | | 0 | "The grapes that hung from them were the size of small plums, shimmering with an inner light." | | 1 | "Pear-shaped fruits of a piercing blue hung from their branches, each leaking a single, viscous drop of silver liquid that sizzled when it hit the magenta moss." | | 2 | "Rory watched, mesmerized, as a fish with scales of spun gold leaped from the crimson current, its body arching in the amber light before it splashed back into t…" | | 3 | "Its wide, flat cap was a canvas of swirling indigo and violet, and from its underside hung clusters of small, bell-shaped pods that chimed with a ghostly music …" | | 4 | "Some had petals that looked like stained glass, casting fractured rainbows on the moss." | | 5 | "Pillars like twisted barley-sugar sticks held up a roof that dripped with solidified amber." | | 6 | "The hum was louder here, resolving into the faint echo of music and laughter, the residue of a feast that had ended moments or centuries ago." | | 7 | "It coated her tongue, a cloying sweetness that made her stomach turn." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde murmured, her gaze distant" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Isolde murmured (murmur)" |
| | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 1 | | effectiveRatio | 0.286 | |