| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1694 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 5.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1694 | | totalAiIsms | 32 | | 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 | "pulse" | | 1 | "stomach" | | 2 | "shattered" | | 3 | "pulsed" | | 4 | "marble" | | 5 | "resolved" | | 6 | "flicked" | | 7 | "familiar" | | 8 | "warmth" | | 9 | "tracing" | | 10 | "resonance" | | 11 | "footsteps" | | 12 | "echoed" | | 13 | "throbbed" | | 14 | "quivered" | | 15 | "perfect" | | 16 | "yearning" | | 17 | "desire" | | 18 | "echoes" | | 19 | "flicker" | | 20 | "whisper" | | 21 | "silence" |
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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 | 187 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 187 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 196 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1683 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1617 | | uniqueNames | 7 | | maxNameDensity | 1.55 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Nyx" | | discoveredNames | | Heartstone | 1 | | Nyx | 20 | | Aurora | 25 | | Shade | 1 | | Fae-Forged | 1 | | Blade | 2 | | London | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Shade" | | 3 | "Blade" |
| | places | | | globalScore | 0.727 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed alive" | | 1 | "felt like a drum in her palm" |
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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 | 1683 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 196 | | matches | (empty) | |
| 94.54% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 39.14 | | std | 18.82 | | cv | 0.481 | | sampleLengths | | 0 | 55 | | 1 | 33 | | 2 | 32 | | 3 | 64 | | 4 | 60 | | 5 | 31 | | 6 | 58 | | 7 | 64 | | 8 | 33 | | 9 | 58 | | 10 | 43 | | 11 | 6 | | 12 | 65 | | 13 | 65 | | 14 | 4 | | 15 | 64 | | 16 | 40 | | 17 | 53 | | 18 | 40 | | 19 | 47 | | 20 | 64 | | 21 | 38 | | 22 | 22 | | 23 | 24 | | 24 | 37 | | 25 | 36 | | 26 | 71 | | 27 | 6 | | 28 | 22 | | 29 | 59 | | 30 | 46 | | 31 | 32 | | 32 | 21 | | 33 | 10 | | 34 | 4 | | 35 | 27 | | 36 | 38 | | 37 | 14 | | 38 | 25 | | 39 | 30 | | 40 | 47 | | 41 | 40 | | 42 | 55 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 187 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 308 | | matches | (empty) | |
| 99.13% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 196 | | ratio | 0.015 | | matches | | 0 | "Her scar itched, and for a heartbeat she felt a current of something old stir through her veins—fear mixed with exhilaration." | | 1 | "It swung around and drifted past a statue that looked startlingly human—its features too familiar, too alive." | | 2 | "Fruit hung from twisted branches—pear-shaped lanterns of silvery light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1628 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.019656019656019656 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0006142506142506142 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 196 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 196 | | mean | 8.59 | | std | 5.09 | | cv | 0.593 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 17 | | 3 | 11 | | 4 | 11 | | 5 | 12 | | 6 | 9 | | 7 | 1 | | 8 | 2 | | 9 | 17 | | 10 | 9 | | 11 | 4 | | 12 | 12 | | 13 | 21 | | 14 | 11 | | 15 | 10 | | 16 | 10 | | 17 | 8 | | 18 | 8 | | 19 | 14 | | 20 | 15 | | 21 | 15 | | 22 | 5 | | 23 | 6 | | 24 | 13 | | 25 | 5 | | 26 | 2 | | 27 | 11 | | 28 | 21 | | 29 | 8 | | 30 | 10 | | 31 | 8 | | 32 | 21 | | 33 | 7 | | 34 | 10 | | 35 | 26 | | 36 | 3 | | 37 | 9 | | 38 | 11 | | 39 | 10 | | 40 | 22 | | 41 | 18 | | 42 | 16 | | 43 | 2 | | 44 | 6 | | 45 | 7 | | 46 | 4 | | 47 | 14 | | 48 | 12 | | 49 | 4 |
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| 47.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.28061224489795916 | | totalSentences | 196 | | uniqueOpeners | 55 | |
| 57.14% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 175 | | matches | | 0 | "Somewhere in the darkness a" | | 1 | "Then she exhaled." | | 2 | "Then Nyx guided her through." |
| | ratio | 0.017 | |
| 69.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 66 | | totalSentences | 175 | | matches | | 0 | "She felt the world shift" | | 1 | "They paused on the threshold" | | 2 | "they whispered, voice like wind" | | 3 | "She touched it, felt heat" | | 4 | "It urged her deeper." | | 5 | "She followed Nyx under a" | | 6 | "They emerged into an orchard" | | 7 | "She tossed it and it" | | 8 | "Their fingers trailed over the" | | 9 | "Her scar itched, and for" | | 10 | "She tucked the Fae-Forged Blade" | | 11 | "She saw a hall up" | | 12 | "Its arch rose into darkness," | | 13 | "She stepped forward." | | 14 | "It moved toward her." | | 15 | "She swallowed and reached for" | | 16 | "She jerked it free, the" | | 17 | "It carried a ladle that" | | 18 | "She flicked her gaze around." | | 19 | "It dipped the ladle into" |
| | ratio | 0.377 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 160 | | totalSentences | 175 | | matches | | 0 | "Aurora pressed a hand against" | | 1 | "Roots above her arched like" | | 2 | "She felt the world shift" | | 3 | "The sky glowed amber, a" | | 4 | "Nyx followed, shoulders loose, silhouette" | | 5 | "They paused on the threshold" | | 6 | "they whispered, voice like wind" | | 7 | "The Heartstone pendant lay heavy" | | 8 | "She touched it, felt heat" | | 9 | "It urged her deeper." | | 10 | "A tunnel of living vines" | | 11 | "Grape clusters the size of" | | 12 | "The air smelled of crushed" | | 13 | "Aurora’s stomach clenched, but she" | | 14 | "She followed Nyx under a" | | 15 | "They emerged into an orchard" | | 16 | "Trees bore apple-like fruit, skin" | | 17 | "She tossed it and it" | | 18 | "The statue was a man" | | 19 | "Nyx drifted to its base." |
| | ratio | 0.914 | |
| 28.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 175 | | matches | | 0 | "Now it felt almost frigid" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 4 | | matches | | 0 | "She felt the world shift beneath her boots, a soft sigh of fermenting earth that seemed alive." | | 1 | "Grape clusters the size of fists hung low, skin bruised purple and oozing sweet juice that dripped onto the spongy floor." | | 2 | "Inside the hall, long tables stretched end to end, carved from a single slab of marble that gleamed beneath the amber sky." | | 3 | "Platters overflowed: fruits that glowed like embers, loaves stiff with metal flakes, cheese that oozed a silver mist." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "they said, voice real this time, urgent" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "They whispered (whisper)" | | 2 | "they breathed (breathe)" | | 3 | "they murmured (murmur)" |
| | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0.444 | | effectiveRatio | 0.421 | |