| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1426 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1426 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "rhythmic" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "stark" | | 4 | "oppressive" | | 5 | "glistening" | | 6 | "crystal" | | 7 | "structure" | | 8 | "chill" | | 9 | "tension" | | 10 | "whisper" | | 11 | "pulse" | | 12 | "warmth" | | 13 | "vibrated" | | 14 | "echoed" | | 15 | "perfect" | | 16 | "resolved" | | 17 | "searing" | | 18 | "gloom" | | 19 | "silence" | | 20 | "resolving" | | 21 | "trembled" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1425 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1318 | | uniqueNames | 4 | | maxNameDensity | 1.14 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 15 | | Heartstone | 2 | | Fae-forged | 1 | | Nyx | 12 |
| | persons | | | places | (empty) | | globalScore | 0.931 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like dry leaves skittering over st" |
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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 | 1425 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 40.71 | | std | 26.3 | | cv | 0.646 | | sampleLengths | | 0 | 79 | | 1 | 73 | | 2 | 22 | | 3 | 18 | | 4 | 77 | | 5 | 28 | | 6 | 73 | | 7 | 82 | | 8 | 6 | | 9 | 24 | | 10 | 3 | | 11 | 10 | | 12 | 68 | | 13 | 66 | | 14 | 13 | | 15 | 80 | | 16 | 11 | | 17 | 23 | | 18 | 44 | | 19 | 33 | | 20 | 25 | | 21 | 18 | | 22 | 37 | | 23 | 63 | | 24 | 29 | | 25 | 14 | | 26 | 50 | | 27 | 57 | | 28 | 32 | | 29 | 8 | | 30 | 43 | | 31 | 65 | | 32 | 37 | | 33 | 18 | | 34 | 96 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 229 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 146 | | ratio | 0.007 | | matches | | 0 | "Faces swam beneath the liquid—thousands of them, mouths open in silent song, eyes locked on the vaulted ceiling." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1325 | | adjectiveStacks | 2 | | stackExamples | | 0 | "heavy spice-thick air" | | 1 | "heavier, pressing against their" |
| | adverbCount | 10 | | adverbRatio | 0.007547169811320755 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0037735849056603774 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 9.76 | | std | 5.44 | | cv | 0.558 | | sampleLengths | | 0 | 10 | | 1 | 19 | | 2 | 6 | | 3 | 16 | | 4 | 28 | | 5 | 5 | | 6 | 17 | | 7 | 16 | | 8 | 5 | | 9 | 9 | | 10 | 21 | | 11 | 14 | | 12 | 8 | | 13 | 6 | | 14 | 8 | | 15 | 4 | | 16 | 16 | | 17 | 24 | | 18 | 3 | | 19 | 12 | | 20 | 4 | | 21 | 18 | | 22 | 18 | | 23 | 10 | | 24 | 8 | | 25 | 18 | | 26 | 4 | | 27 | 14 | | 28 | 15 | | 29 | 8 | | 30 | 6 | | 31 | 19 | | 32 | 18 | | 33 | 13 | | 34 | 9 | | 35 | 10 | | 36 | 13 | | 37 | 2 | | 38 | 4 | | 39 | 4 | | 40 | 9 | | 41 | 11 | | 42 | 3 | | 43 | 10 | | 44 | 3 | | 45 | 14 | | 46 | 23 | | 47 | 11 | | 48 | 17 | | 49 | 11 |
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| 39.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3082191780821918 | | totalSentences | 146 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 124 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 124 | | matches | | 0 | "She stepped through the shimmering" | | 1 | "It carried the heavy perfume" | | 2 | "Her fingers brushed the silver" | | 3 | "She adjusted the strap of" | | 4 | "They walked onto a broad" | | 5 | "Her knuckles grazed a cluster" | | 6 | "She drew it halfway." | | 7 | "She slid the dagger back" | | 8 | "Their skin held the same" | | 9 | "They carried heavy silver trays" | | 10 | "She dragged a finger along" | | 11 | "Her pulse hammered against the" | | 12 | "She pulled free." | | 13 | "It landed on the water." | | 14 | "She watched Nyx’s shadow stretch" | | 15 | "She kept her eyes on" | | 16 | "She felt the weight of" | | 17 | "She stepped over a threshold" | | 18 | "She watched a brass crank" | | 19 | "She kept her hand on" |
| | ratio | 0.161 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 124 | | matches | | 0 | "The rift tore open with" | | 1 | "She stepped through the shimmering" | | 2 | "The veil sealed behind her" | | 3 | "Nyx flowed out beside her," | | 4 | "The atmosphere hit them first." | | 5 | "It carried the heavy perfume" | | 6 | "The ground beneath them shifted" | | 7 | "Aurora kept her breathing even." | | 8 | "Her fingers brushed the silver" | | 9 | "The Heartstone pendant had already" | | 10 | "Nyx drifted forward, their boots" | | 11 | "She adjusted the strap of" | | 12 | "They walked onto a broad" | | 13 | "Aurora reached out." | | 14 | "Her knuckles grazed a cluster" | | 15 | "The stems felt warm." | | 16 | "The fruit yielded slightly under" | | 17 | "Nyx stopped, their violet eyes" | | 18 | "Aurora kept her hand in" | | 19 | "The cool metal of the" |
| | ratio | 0.903 | |
| 40.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 124 | | matches | | 0 | "To their left, vines thick" |
| | ratio | 0.008 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "The Heartstone pendant had already warmed, a steady, rhythmic pressure against her sternum that matched the beat of her own heart." | | 1 | "The fruit yielded slightly under her touch, releasing a puff of steam that smelled of vanilla and woodsmoke." | | 2 | "Arches of intertwined boughs formed a vaulted ceiling, draped with trailing ivy and night-blooming flowers that exuded a faint, minty chill." | | 3 | "The thorns wept a thick, amber sap that stained her sleeve." | | 4 | "Beneath it all, a low, continuous murmur that matched the thrum of the Heartstone." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Aurora pressed (press)" |
| | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.4 | | effectiveRatio | 0.19 | |