| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1112 | | totalAiIsmAdverbs | 3 | | 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) | |
| 59.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1112 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "footfall" | | 3 | "silence" | | 4 | "velvet" | | 5 | "weight" | | 6 | "intricate" | | 7 | "quickened" |
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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 | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1112 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 953 | | uniqueNames | 9 | | maxNameDensity | 1.47 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | November | 1 | | Veil | 1 | | London | 2 | | Nyx | 5 | | Rory | 14 | | Richmond | 1 | | Park | 1 | | British | 1 | | Eva | 5 |
| | persons | | | places | | 0 | "November" | | 1 | "London" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "British" |
| | globalScore | 0.765 | | windowScore | 0.833 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "quite close, the gap between the final pair wide enough for two people to walk abreast" | | 1 | "quite exist in the spectrum she knew" | | 2 | "looked like vineyards stretching to the h" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.899 | | wordCount | 1112 | | matches | | 0 | "not the sky above but a different sky, one streaked with amber" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 30.05 | | std | 26.61 | | cv | 0.885 | | sampleLengths | | 0 | 61 | | 1 | 23 | | 2 | 3 | | 3 | 67 | | 4 | 33 | | 5 | 3 | | 6 | 11 | | 7 | 56 | | 8 | 9 | | 9 | 7 | | 10 | 4 | | 11 | 1 | | 12 | 8 | | 13 | 47 | | 14 | 3 | | 15 | 66 | | 16 | 44 | | 17 | 50 | | 18 | 3 | | 19 | 2 | | 20 | 6 | | 21 | 2 | | 22 | 18 | | 23 | 82 | | 24 | 31 | | 25 | 27 | | 26 | 82 | | 27 | 59 | | 28 | 4 | | 29 | 72 | | 30 | 41 | | 31 | 16 | | 32 | 4 | | 33 | 73 | | 34 | 13 | | 35 | 27 | | 36 | 54 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "being asked" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 88 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 957 | | adjectiveStacks | 1 | | stackExamples | | 0 | "moving over smooth stones." |
| | adverbCount | 37 | | adverbRatio | 0.038662486938349006 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009404388714733543 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 12.64 | | std | 9.3 | | cv | 0.736 | | sampleLengths | | 0 | 31 | | 1 | 2 | | 2 | 28 | | 3 | 5 | | 4 | 18 | | 5 | 3 | | 6 | 14 | | 7 | 30 | | 8 | 23 | | 9 | 17 | | 10 | 16 | | 11 | 3 | | 12 | 4 | | 13 | 7 | | 14 | 9 | | 15 | 27 | | 16 | 3 | | 17 | 4 | | 18 | 13 | | 19 | 9 | | 20 | 7 | | 21 | 4 | | 22 | 1 | | 23 | 8 | | 24 | 6 | | 25 | 7 | | 26 | 31 | | 27 | 3 | | 28 | 3 | | 29 | 9 | | 30 | 17 | | 31 | 24 | | 32 | 16 | | 33 | 5 | | 34 | 19 | | 35 | 9 | | 36 | 11 | | 37 | 3 | | 38 | 31 | | 39 | 16 | | 40 | 3 | | 41 | 2 | | 42 | 6 | | 43 | 2 | | 44 | 3 | | 45 | 9 | | 46 | 6 | | 47 | 4 | | 48 | 20 | | 49 | 8 |
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| 66.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4318181818181818 | | totalSentences | 88 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 67 | | matches | | 0 | "Then sound returned in layers." | | 1 | "Then wind, though the air" | | 2 | "Then a distant murmur, like" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "She stopped at the threshold." | | 1 | "They had been little more" | | 2 | "Their voice was barely more" | | 3 | "They rarely did when the" | | 4 | "She looked unimpressed." | | 5 | "She also looked terrified." | | 6 | "She stepped through." | | 7 | "Her eyes were wide and" | | 8 | "It went back and back" | | 9 | "Their voice came from everywhere." | | 10 | "Her hand was still clamped" | | 11 | "They were not any species" | | 12 | "Their trunks spiralled, pale bark" | | 13 | "She quickened her pace." | | 14 | "She wore a dress the" | | 15 | "Her eyes were pale lavender" | | 16 | "She tilted her head, birdlike," |
| | ratio | 0.254 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "The standing stones rose from" | | 1 | "Rory counted seven of them," | | 2 | "She stopped at the threshold." | | 3 | "The pendant against her sternum" | | 4 | "Nyx coalesced at her left" | | 5 | "They had been little more" | | 6 | "Their voice was barely more" | | 7 | "Nyx offered no answer." | | 8 | "They rarely did when the" | | 9 | "Rory turned to the third" | | 10 | "Eva had come without being" | | 11 | "She looked unimpressed." | | 12 | "She also looked terrified." | | 13 | "Rory had known her long" | | 14 | "The gap between the stones" | | 15 | "A current of air pushed" | | 16 | "She stepped through." | | 17 | "The park vanished." | | 18 | "The noise of it, the" | | 19 | "Birdsong first, but not any" |
| | ratio | 0.836 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Now they solidified, tall and" |
| | ratio | 0.015 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory counted seven of them, arranged in a loose circle that didn't quite close, the gap between the final pair wide enough for two people to walk abreast." | | 1 | "A current of air pushed outward, warm and thick with the scent of honeysuckle and wet earth and something sweeter underneath, something that had no name in any …" | | 2 | "Their trunks spiralled, pale bark peeling in ribbons that caught the strange light like strips of parchment, and their branches wove together overhead in a latt…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx had, their form bleeding into the shadows between the grove's trees" | | 1 | "She tilted, birdlike, assessing" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.045 | | leniency | 0.091 | | rawRatio | 0 | | effectiveRatio | 0 | |