| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1576 | | 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) | |
| 80.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1576 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulsed" | | 1 | "whisper" | | 2 | "shimmered" | | 3 | "flickered" | | 4 | "weight" | | 5 | "pulse" |
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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 | 133 | | matches | (empty) | |
| 99.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 133 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1580 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1389 | | uniqueNames | 13 | | maxNameDensity | 1.58 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Aurora | 22 | | Brixton | 1 | | Road | 1 | | Isolde | 17 | | Nyx | 12 | | December | 1 | | Veil | 1 | | Hel | 1 | | Fae-Forged | 2 | | Blade | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Blade" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Brixton" | | 3 | "Road" | | 4 | "December" |
| | globalScore | 0.708 | | windowScore | 0.833 | |
| 35.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 4 | | matches | | 0 | "as if reading the question Aurora hadn’t asked" | | 1 | "looked like glass" | | 2 | "as if recognizing a distant cousin" | | 3 | "as if listening" |
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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 | 1580 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 35.91 | | std | 21.48 | | cv | 0.598 | | sampleLengths | | 0 | 63 | | 1 | 80 | | 2 | 17 | | 3 | 13 | | 4 | 15 | | 5 | 60 | | 6 | 12 | | 7 | 66 | | 8 | 68 | | 9 | 68 | | 10 | 7 | | 11 | 47 | | 12 | 8 | | 13 | 6 | | 14 | 65 | | 15 | 54 | | 16 | 26 | | 17 | 46 | | 18 | 63 | | 19 | 20 | | 20 | 43 | | 21 | 12 | | 22 | 54 | | 23 | 39 | | 24 | 12 | | 25 | 29 | | 26 | 27 | | 27 | 27 | | 28 | 48 | | 29 | 45 | | 30 | 4 | | 31 | 1 | | 32 | 14 | | 33 | 52 | | 34 | 25 | | 35 | 48 | | 36 | 10 | | 37 | 30 | | 38 | 37 | | 39 | 28 | | 40 | 43 | | 41 | 58 | | 42 | 29 | | 43 | 61 |
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| 94.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 133 | | matches | | 0 | "was seemed" | | 1 | "been pressed" | | 2 | "been told" | | 3 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 233 | | matches | | 0 | "were shaking" | | 1 | "was already walking" |
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| 43.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 144 | | ratio | 0.035 | | matches | | 0 | "Aurora followed because she had no choice; the pendant had been a gift from a stranger with a hand like cold iron, and it had pulsed once, warm as a heartbeat, the night she’d found a shimmer in the park’s northwest corner that wasn’t mist." | | 1 | "Wildflowers bloomed between the roots — tiny white stars and purple bells that should have been dead by now." | | 2 | "The surface reflected a sky that was not above them — clouds moved backwards, stars were out though it was afternoon, and the reflection showed Aurora with her hair longer, her eyes darker, Nyx standing fully solid with a face she recognized from old woodcuts." | | 3 | "Isolde stepped out of the circle and onto the park path, and for the first time Aurora saw the faint imprint of her boots on the wet ground — then it wasn’t there." | | 4 | "Aurora stood in the cold, the key heavy in her pocket, the blade cold at her hip, and listened to the ordinary sounds of Richmond Park return — a distant jogger, a bird, the hum of traffic beyond the trees." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 348 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.031609195402298854 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005747126436781609 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 10.97 | | std | 8.67 | | cv | 0.791 | | sampleLengths | | 0 | 20 | | 1 | 12 | | 2 | 19 | | 3 | 4 | | 4 | 8 | | 5 | 18 | | 6 | 21 | | 7 | 8 | | 8 | 33 | | 9 | 4 | | 10 | 13 | | 11 | 6 | | 12 | 7 | | 13 | 2 | | 14 | 13 | | 15 | 15 | | 16 | 17 | | 17 | 19 | | 18 | 9 | | 19 | 4 | | 20 | 8 | | 21 | 8 | | 22 | 5 | | 23 | 40 | | 24 | 6 | | 25 | 1 | | 26 | 6 | | 27 | 4 | | 28 | 5 | | 29 | 45 | | 30 | 14 | | 31 | 7 | | 32 | 22 | | 33 | 12 | | 34 | 19 | | 35 | 8 | | 36 | 7 | | 37 | 3 | | 38 | 13 | | 39 | 3 | | 40 | 21 | | 41 | 4 | | 42 | 3 | | 43 | 8 | | 44 | 5 | | 45 | 1 | | 46 | 12 | | 47 | 21 | | 48 | 15 | | 49 | 17 |
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| 43.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3263888888888889 | | totalSentences | 144 | | uniqueOpeners | 47 | |
| 29.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 114 | | matches | | 0 | "Further in, the trees gave" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 114 | | matches | | 0 | "It did nothing here." | | 1 | "Her hair fell past her" | | 2 | "She left no footprints in" | | 3 | "Her voice was soft, pleasant," | | 4 | "Their voice came like wind" | | 5 | "She is always late." | | 6 | "She’d learned not to be." | | 7 | "She didn’t ask about it" | | 8 | "It smelled of honey and" | | 9 | "She felt the small crescent" | | 10 | "It burned now." | | 11 | "Her boots sank a fraction" | | 12 | "She’d only ever seen it" | | 13 | "It rose and fell in" | | 14 | "They moved deeper." | | 15 | "It simply accepted her hand," | | 16 | "You are standing in a" | | 17 | "She pulled the blade out" | | 18 | "She didn’t draw it, but" | | 19 | "She’d been told it could." |
| | ratio | 0.254 | |
| 34.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 114 | | matches | | 0 | "Rain had stopped over Richmond" | | 1 | "Aurora pulled her coat tighter" | | 2 | "The Heartstone was cool against" | | 3 | "It did nothing here." | | 4 | "That was either reassuring or" | | 5 | "Isolde waited where the path" | | 6 | "Her hair fell past her" | | 7 | "She left no footprints in" | | 8 | "Aurora had noticed it the" | | 9 | "Her voice was soft, pleasant," | | 10 | "Nyx shifted beside the fence," | | 11 | "Their voice came like wind" | | 12 | "She is always late." | | 13 | "Time is kinder to you" | | 14 | "Aurora muttered, but she wasn’t" | | 15 | "She’d learned not to be." | | 16 | "Nyx had been waiting in" | | 17 | "A human sorcerer trapped since" | | 18 | "She didn’t ask about it" | | 19 | "Isolde turned and walked." |
| | ratio | 0.851 | |
| 43.86% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 114 | | matches | | | ratio | 0.009 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 6 | | matches | | 0 | "Her hair fell past her waist, catching light that wasn’t there, and her pale lavender eyes fixed on Aurora without blinking." | | 1 | "Aurora followed because she had no choice; the pendant had been a gift from a stranger with a hand like cold iron, and it had pulsed once, warm as a heartbeat, …" | | 2 | "Wildflowers bloomed between the roots — tiny white stars and purple bells that should have been dead by now." | | 3 | "The surface reflected a sky that was not above them — clouds moved backwards, stars were out though it was afternoon, and the reflection showed Aurora with her …" | | 4 | "The pendant at her throat gave a single, slow pulse, as if recognizing a distant cousin." | | 5 | "Behind her, the standing oaks seemed to lean in, just a little, as if listening." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde said, as if reading the question Aurora hadn’t asked" |
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| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Aurora muttered (mutter)" | | 1 | "they whispered (whisper)" | | 2 | "she repeated (repeat)" |
| | dialogueSentences | 24 | | tagDensity | 0.542 | | leniency | 1 | | rawRatio | 0.231 | | effectiveRatio | 0.231 | |