| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1832 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lightly" | | 1 | "suddenly" | | 2 | "carefully" |
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| 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) | |
| 61.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1832 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chaotic" | | 1 | "pulse" | | 2 | "weight" | | 3 | "silence" | | 4 | "traced" | | 5 | "unreadable" | | 6 | "perfect" | | 7 | "tracing" | | 8 | "silk" | | 9 | "tension" | | 10 | "electric" | | 11 | "reminder" | | 12 | "sanctuary" |
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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 | 158 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 158 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1832 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 1830 | | uniqueNames | 18 | | maxNameDensity | 0.6 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 7 | | Marseille | 1 | | Brick | 3 | | Lane | 3 | | Avaros | 3 | | Lucien | 11 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Frenchman | 1 | | English | 1 | | Cardiff | 2 | | London | 2 | | Evan | 2 | | Aurora | 8 | | You | 8 | | Ptolemy | 6 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Yu-Fei" | | 3 | "Cheung" | | 4 | "Evan" | | 5 | "Aurora" | | 6 | "You" | | 7 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Avaros" | | 4 | "Golden" | | 5 | "Cardiff" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 122 | | glossingSentenceCount | 1 | | matches | | 0 | "as if urging them closer" |
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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 | 1832 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 158 | | matches | | 0 | "spoken that night" | | 1 | "chose that moment" | | 2 | "know that I" |
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| 71.19% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 35.23 | | std | 14.06 | | cv | 0.399 | | sampleLengths | | 0 | 40 | | 1 | 35 | | 2 | 1 | | 3 | 19 | | 4 | 29 | | 5 | 14 | | 6 | 51 | | 7 | 22 | | 8 | 52 | | 9 | 18 | | 10 | 44 | | 11 | 14 | | 12 | 56 | | 13 | 24 | | 14 | 54 | | 15 | 31 | | 16 | 45 | | 17 | 38 | | 18 | 47 | | 19 | 43 | | 20 | 41 | | 21 | 25 | | 22 | 42 | | 23 | 42 | | 24 | 49 | | 25 | 37 | | 26 | 46 | | 27 | 32 | | 28 | 45 | | 29 | 30 | | 30 | 54 | | 31 | 31 | | 32 | 37 | | 33 | 32 | | 34 | 34 | | 35 | 39 | | 36 | 42 | | 37 | 10 | | 38 | 39 | | 39 | 29 | | 40 | 57 | | 41 | 7 | | 42 | 50 | | 43 | 13 | | 44 | 24 | | 45 | 57 | | 46 | 22 | | 47 | 31 | | 48 | 34 | | 49 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 158 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 305 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 158 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 256 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.03125 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.00390625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 11.59 | | std | 6.96 | | cv | 0.6 | | sampleLengths | | 0 | 14 | | 1 | 26 | | 2 | 14 | | 3 | 13 | | 4 | 8 | | 5 | 1 | | 6 | 19 | | 7 | 19 | | 8 | 10 | | 9 | 4 | | 10 | 10 | | 11 | 11 | | 12 | 18 | | 13 | 22 | | 14 | 7 | | 15 | 6 | | 16 | 9 | | 17 | 20 | | 18 | 16 | | 19 | 6 | | 20 | 4 | | 21 | 6 | | 22 | 8 | | 23 | 10 | | 24 | 12 | | 25 | 4 | | 26 | 14 | | 27 | 14 | | 28 | 7 | | 29 | 7 | | 30 | 20 | | 31 | 15 | | 32 | 21 | | 33 | 2 | | 34 | 4 | | 35 | 4 | | 36 | 2 | | 37 | 12 | | 38 | 12 | | 39 | 11 | | 40 | 18 | | 41 | 13 | | 42 | 8 | | 43 | 15 | | 44 | 8 | | 45 | 7 | | 46 | 6 | | 47 | 9 | | 48 | 23 | | 49 | 6 |
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| 46.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2974683544303797 | | totalSentences | 158 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 152 | | matches | | 0 | "Then empty mornings and unanswered" | | 1 | "Meanwhile I threw myself into" | | 2 | "Then speak plainly." | | 3 | "Then let me pay in" | | 4 | "Then map it." |
| | ratio | 0.033 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 152 | | matches | | 0 | "His ivory-handled cane rested lightly" | | 1 | "His words carried the faint" | | 2 | "She gripped the doorframe, the" | | 3 | "You have no business on" | | 4 | "He shifted his weight onto" | | 5 | "My collection holds what she" | | 6 | "I did not expect to" | | 7 | "His mouth on hers." | | 8 | "She does not need your" | | 9 | "He surveyed the clutter, gaze" | | 10 | "His heterochromatic eyes returned to" | | 11 | "You still keep everyone at" | | 12 | "She crossed the small space" | | 13 | "His fingers brushed the edge" | | 14 | "He set the volume down" | | 15 | "My father's realm does not" | | 16 | "I left to keep them" | | 17 | "Their fingers met for a" | | 18 | "She pulled back but the" | | 19 | "You chose for both of" |
| | ratio | 0.368 | |
| 42.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 152 | | matches | | 0 | "The door swung inward after" | | 1 | "Aurora stood framed by the" | | 2 | "Lucien filled the narrow space" | | 3 | "The mismatched gaze, one amber" | | 4 | "His ivory-handled cane rested lightly" | | 5 | "His words carried the faint" | | 6 | "She gripped the doorframe, the" | | 7 | "Every inch of her wanted" | | 8 | "This is Eva's place." | | 9 | "You have no business on" | | 10 | "He shifted his weight onto" | | 11 | "The flat shrank around his" | | 12 | "Ptolemy the tabby cat emerged" | | 13 | "Eva requested details on artifacts" | | 14 | "My collection holds what she" | | 15 | "I did not expect to" | | 16 | "Aurora blocked his path deeper" | | 17 | "The cramped one-bedroom layout left" | | 18 | "His mouth on hers." | | 19 | "She does not need your" |
| | ratio | 0.836 | |
| 32.89% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 152 | | matches | | 0 | "Even after everything that passed" |
| | ratio | 0.007 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 88 | | technicalSentenceCount | 8 | | matches | | 0 | "I spent weeks checking over my shoulder, wondering which part of your demon blood finally decided I was too much trouble." | | 1 | "Ptolemy jumped from the books to the sill between them, tail flicking against Lucien's sleeve as if urging them closer." | | 2 | "The amber eye warmed while the black one stayed unreadable, a perfect mirror of the half-demon who stood before her." | | 3 | "His fingers met the scar, tracing its curve with a gentleness that contradicted the blade hidden inside his cane." | | 4 | "The contact burned through her shirt, reminding her of stolen hours when his half-demon strength had lifted her onto the bar after closing." | | 5 | "His hand remained at her waist, thumb moving in a slow circle that spoke the things his careful tongue still circled." | | 6 | "The nearness filled her with the same electric awareness that had once made her forget her carefully planned escape from Cardiff and every rule she set after Ev…" | | 7 | "The cane stood forgotten by the door, the blade inside it irrelevant to the blade of regret that had clearly cut him as deeply as her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |