| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.531 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1126 | | totalAiIsmAdverbs | 4 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "softly" | | 2 | "very" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1126 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "down her spine" | | count | 1 |
| | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "warmth" | | 1 | "whisper" | | 2 | "shimmered" | | 3 | "pulsed" | | 4 | "stark" | | 5 | "stomach" | | 6 | "churn" | | 7 | "structure" | | 8 | "glistening" | | 9 | "weight" | | 10 | "echoing" | | 11 | "silk" | | 12 | "unspoken" | | 13 | "chill" | | 14 | "down her spine" | | 15 | "pulse" | | 16 | "pounding" | | 17 | "flickered" | | 18 | "racing" | | 19 | "echoed" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "air was thick with" | | count | 2 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 71 | | matches | | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1118 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 42.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 927 | | uniqueNames | 6 | | maxNameDensity | 2.16 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 4 | | Nyx | 12 | | Rory | 20 | | Fae-Forged | 4 | | Blade | 4 | | Belphegor | 5 |
| | persons | | 0 | "Nyx" | | 1 | "Rory" | | 2 | "Blade" | | 3 | "Belphegor" |
| | places | | | globalScore | 0.421 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 4 | | matches | | 0 | "vineyards that seemed to sprawl into infinity" | | 1 | "seemed ready to burst, loaves of bread golden and steaming" | | 2 | "fabric that seemed to shift colours as they moved, and their eyes glowed with a golden light that made Rory's heart pound in her chest" | | 3 | "moss that seemed to pulse faintly with each step" |
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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 | 1118 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 25.41 | | std | 14.95 | | cv | 0.588 | | sampleLengths | | 0 | 55 | | 1 | 13 | | 2 | 32 | | 3 | 51 | | 4 | 17 | | 5 | 44 | | 6 | 18 | | 7 | 49 | | 8 | 13 | | 9 | 64 | | 10 | 10 | | 11 | 4 | | 12 | 52 | | 13 | 12 | | 14 | 46 | | 15 | 7 | | 16 | 21 | | 17 | 16 | | 18 | 25 | | 19 | 10 | | 20 | 16 | | 21 | 21 | | 22 | 22 | | 23 | 28 | | 24 | 11 | | 25 | 27 | | 26 | 27 | | 27 | 14 | | 28 | 15 | | 29 | 11 | | 30 | 38 | | 31 | 43 | | 32 | 20 | | 33 | 43 | | 34 | 39 | | 35 | 9 | | 36 | 36 | | 37 | 29 | | 38 | 10 | | 39 | 19 | | 40 | 15 | | 41 | 17 | | 42 | 32 | | 43 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 76.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 86 | | ratio | 0.023 | | matches | | 0 | "The tables groaned under the weight of platters piled high with food—roast meats glistening with sauces, fruits so ripe they seemed ready to burst, loaves of bread golden and steaming." | | 1 | "Others were grotesque exaggerations of human features—too many eyes, limbs that bent in impossible angles, mouths stretched wide in grins that showed too many teeth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 934 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.028907922912205567 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014989293361884369 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 13 | | std | 5.75 | | cv | 0.442 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 23 | | 3 | 13 | | 4 | 12 | | 5 | 20 | | 6 | 4 | | 7 | 16 | | 8 | 15 | | 9 | 16 | | 10 | 9 | | 11 | 8 | | 12 | 22 | | 13 | 8 | | 14 | 14 | | 15 | 12 | | 16 | 6 | | 17 | 16 | | 18 | 13 | | 19 | 20 | | 20 | 13 | | 21 | 17 | | 22 | 17 | | 23 | 30 | | 24 | 10 | | 25 | 3 | | 26 | 1 | | 27 | 12 | | 28 | 25 | | 29 | 15 | | 30 | 12 | | 31 | 16 | | 32 | 30 | | 33 | 7 | | 34 | 16 | | 35 | 5 | | 36 | 12 | | 37 | 4 | | 38 | 9 | | 39 | 16 | | 40 | 10 | | 41 | 16 | | 42 | 12 | | 43 | 9 | | 44 | 13 | | 45 | 9 | | 46 | 12 | | 47 | 8 | | 48 | 8 | | 49 | 11 |
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| 64.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.43023255813953487 | | totalSentences | 86 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 70 | | matches | | 0 | "she asked, her voice barely" | | 1 | "Their voice, like wind through" | | 2 | "She swallowed hard, her fingers" | | 3 | "It burst in her fingers," | | 4 | "She hurried to catch up," | | 5 | "They moved with a fluid" | | 6 | "They wore robes of shimmering" | | 7 | "they repeated, their voice soft" | | 8 | "They moved forward, and Rory" | | 9 | "She reached out, her fingers" | | 10 | "Her vision blurred, and she" | | 11 | "she demanded, her voice shaking" | | 12 | "She turned, her grip tightening" |
| | ratio | 0.186 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 70 | | matches | | 0 | "The air tasted sweet, too" | | 1 | "Rory coughed as she stepped" | | 2 | "The portal had spat them" | | 3 | "she asked, her voice barely" | | 4 | "Nyx materialised beside her, their" | | 5 | "Their voice, like wind through" | | 6 | "Rory glanced behind her." | | 7 | "The portal shimmered faintly, a" | | 8 | "She swallowed hard, her fingers" | | 9 | "The blade felt cool against" | | 10 | "Nyx murmured, their violet eyes" | | 11 | "The vineyards stretched before them," | | 12 | "Rory reached out, hesitating, then" | | 13 | "It burst in her fingers," | | 14 | "Nyx warned, their form flickering" | | 15 | "Rory wiped her hand on" | | 16 | "She hurried to catch up," | | 17 | "The air was thick with" | | 18 | "The path widened into a" | | 19 | "The columns were carved to" |
| | ratio | 0.914 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 70 | | matches | | 0 | "Before them stood a grand" | | 1 | "Before Rory could respond, a" |
| | ratio | 0.029 | |
| 31.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 7 | | matches | | 0 | "The portal had spat them out into amber skies, warm as melted gold, stretching endlessly above vineyards that seemed to sprawl into infinity." | | 1 | "The vineyards stretched before them, rows of twisted vines heavy with clusters of fruit that glistened like jewels under the amber light." | | 2 | "Before them stood a grand pavilion, its structure twisting and organic, as if grown rather than built." | | 3 | "Others were grotesque exaggerations of human features—too many eyes, limbs that bent in impossible angles, mouths stretched wide in grins that showed too many t…" | | 4 | "They wore robes of shimmering fabric that seemed to shift colours as they moved, and their eyes glowed with a golden light that made Rory's heart pound in her c…" | | 5 | "Nyx stepped forward, their form darkening, the air around them crackling with energy." | | 6 | "Strange plants clung to the walls, their leaves shifting and curling as if alive." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 12 | | matches | | 0 | "she asked, her voice barely above a whisper" | | 1 | "Nyx murmured, their violet eyes glowing faintly" | | 2 | "Nyx warned, their form flickering as they moved ahead" | | 3 | "Nyx said, their voice neutral" | | 4 | "Belphegor said, their tone dripping with mockery" | | 5 | "Rory said, her voice steady despite the tremor in her hands" | | 6 | "Belphegor tilted, their gaze flickering to the Heartstone pendant" | | 7 | "they repeated, their voice soft" | | 8 | "Nyx said, their tone icy," | | 9 | "Nyx murmured, their form flickering as they moved ahead" | | 10 | "Nyx said, their voice barely audible" | | 11 | "she demanded, her voice shaking" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 7 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Nyx warned (warn)" | | 2 | "they repeated (repeat)" | | 3 | "Rory muttered (mutter)" | | 4 | "Nyx murmured (murmur)" | | 5 | "she demanded (demand)" | | 6 | "Nyx shouted (shout)" |
| | dialogueSentences | 32 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.5 | | effectiveRatio | 0.438 | |