| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said suddenly [suddenly]" |
| | dialogueSentences | 28 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.083 | | effectiveRatio | 0.071 | |
| 71.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 700 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "really" | | 3 | "barely above a whisper" |
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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) | |
| 14.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 700 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "charged" | | 2 | "unspoken" | | 3 | "silence" | | 4 | "glinting" | | 5 | "could feel" | | 6 | "whisper" | | 7 | "familiar" | | 8 | "pulse" | | 9 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 692 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.93% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 562 | | uniqueNames | 6 | | maxNameDensity | 1.6 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 4 | | Carter | 1 | | Lucien | 9 | | Moreau | 2 | | London | 1 | | Aurora | 6 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Aurora" |
| | places | | | globalScore | 0.699 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "as if waiting for her to say something else" |
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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 | 692 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 22.32 | | std | 17.6 | | cv | 0.788 | | sampleLengths | | 0 | 68 | | 1 | 9 | | 2 | 68 | | 3 | 17 | | 4 | 16 | | 5 | 36 | | 6 | 15 | | 7 | 14 | | 8 | 12 | | 9 | 36 | | 10 | 12 | | 11 | 11 | | 12 | 18 | | 13 | 5 | | 14 | 29 | | 15 | 15 | | 16 | 48 | | 17 | 13 | | 18 | 7 | | 19 | 15 | | 20 | 60 | | 21 | 16 | | 22 | 6 | | 23 | 20 | | 24 | 8 | | 25 | 23 | | 26 | 17 | | 27 | 15 | | 28 | 10 | | 29 | 45 | | 30 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 74 | | ratio | 0.054 | | matches | | 0 | "The scent of old parchment and something faintly metallic—like the air before a storm—wrapped around her." | | 1 | "His heterochromatic eyes—one amber, one black—gleamed at her over his shoulder." | | 2 | "The air between them thickened, charged with the weight of years—of stolen glances, of whispered promises, of unspoken things." | | 3 | "The kind of book that wasn’t just a book—it was a weapon, a record, a thing of power." |
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| 82.95% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 570 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound book." |
| | adverbCount | 30 | | adverbRatio | 0.05263157894736842 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007017543859649123 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 9.35 | | std | 5.69 | | cv | 0.609 | | sampleLengths | | 0 | 18 | | 1 | 24 | | 2 | 16 | | 3 | 10 | | 4 | 9 | | 5 | 5 | | 6 | 15 | | 7 | 18 | | 8 | 19 | | 9 | 11 | | 10 | 17 | | 11 | 13 | | 12 | 3 | | 13 | 23 | | 14 | 11 | | 15 | 2 | | 16 | 10 | | 17 | 5 | | 18 | 9 | | 19 | 5 | | 20 | 5 | | 21 | 7 | | 22 | 3 | | 23 | 14 | | 24 | 19 | | 25 | 10 | | 26 | 2 | | 27 | 3 | | 28 | 8 | | 29 | 15 | | 30 | 3 | | 31 | 3 | | 32 | 2 | | 33 | 4 | | 34 | 7 | | 35 | 14 | | 36 | 4 | | 37 | 9 | | 38 | 6 | | 39 | 3 | | 40 | 13 | | 41 | 18 | | 42 | 14 | | 43 | 13 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 11 | | 48 | 10 | | 49 | 20 |
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| 44.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.25675675675675674 | | totalSentences | 74 | | uniqueOpeners | 19 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 55 | | matches | | 0 | "Instead, he moved past her," | | 1 | "Just stood there, watching her," | | 2 | "Then, slowly, he turned back" | | 3 | "Instead, he reached into his" | | 4 | "Then, without a word, he" |
| | ratio | 0.091 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 55 | | matches | | 0 | "She’d been expecting him for" | | 1 | "she said, voice sharper than" | | 2 | "He stopped at the window," | | 3 | "His heterochromatic eyes—one amber, one" | | 4 | "she said, though she knew" | | 5 | "he countered, turning to face" | | 6 | "She’d been twelve when it" | | 7 | "she said, her voice low" | | 8 | "she admitted, stepping closer" | | 9 | "He didn’t move." | | 10 | "she said suddenly" | | 11 | "she said, her fingers tightening" | | 12 | "she said, her voice quieter" | | 13 | "He didn’t answer." | | 14 | "He held it up, the" | | 15 | "She could feel the heat" | | 16 | "She’d been so careful, so" | | 17 | "she said, her voice barely" | | 18 | "she said, her voice breaking" | | 19 | "She’d come here to fix" |
| | ratio | 0.364 | |
| 32.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 55 | | matches | | 0 | "The front door of Eva’s" | | 1 | "Aurora Carter froze mid-step, her" | | 2 | "The scent of old parchment" | | 3 | "She’d been expecting him for" | | 4 | "she said, voice sharper than" | | 5 | "Lucien didn’t look at her." | | 6 | "The flat smelled of dried" | | 7 | "He stopped at the window," | | 8 | "His heterochromatic eyes—one amber, one" | | 9 | "she said, though she knew" | | 10 | "he countered, turning to face" | | 11 | "Aurora exhaled through her nose," | | 12 | "She’d been twelve when it" | | 13 | "she said, her voice low" | | 14 | "Lucien’s lips curved, just a" | | 15 | "she admitted, stepping closer" | | 16 | "He didn’t move." | | 17 | "The air between them thickened," | | 18 | "she said suddenly" | | 19 | "Lucien’s jaw tightened." |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora Carter froze mid-step, her breath catching as Lucien Moreau stepped inside, his tailored charcoal suit clinging to his frame like a second skin." | | 1 | "The kind of book that wasn’t just a book—it was a weapon, a record, a thing of power." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 8 | | matches | | 0 | "she said, voice sharper than she intended" | | 1 | "he countered, turning to face her" | | 2 | "she said, her voice low" | | 3 | "she said, her fingers tightening around the edge of the coffee table" | | 4 | "she said, her voice quieter now" | | 5 | "she said, her voice barely above a whisper" | | 6 | "Eva said, her voice trembling" | | 7 | "she said, her voice breaking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.091 | | effectiveRatio | 0.071 | |