| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 3 | | adverbTags | | 0 | "she asked again [again]" | | 1 | "he said finally [finally]" | | 2 | "Lucien said quietly [quietly]" |
| | dialogueSentences | 65 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.1 | | effectiveRatio | 0.092 | |
| 84.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1622 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "very" | | 2 | "perfectly" | | 3 | "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) | |
| 59.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1622 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "silk" | | 3 | "firmly" | | 4 | "stomach" | | 5 | "weight" | | 6 | "potential" | | 7 | "familiar" | | 8 | "dance" | | 9 | "ensure" | | 10 | "flickered" | | 11 | "warmth" |
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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 | 99 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1623 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 1 | | matches | | 0 | "They had time, Aurora told herself." |
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| 94.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1172 | | uniqueNames | 12 | | maxNameDensity | 1.11 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Eva | 7 | | Silence | 1 | | French | 1 | | Lucien | 9 | | Moreau | 2 | | British | 1 | | Library | 1 | | Ptolemy | 5 | | Anger | 1 | | London | 1 | | Three | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Ptolemy" | | 5 | "Anger" |
| | places | | 0 | "British" | | 1 | "Library" | | 2 | "London" | | 3 | "Three" |
| | globalScore | 0.945 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "not quite steady" |
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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 | 1623 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 130 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 27.05 | | std | 20.48 | | cv | 0.757 | | sampleLengths | | 0 | 50 | | 1 | 12 | | 2 | 13 | | 3 | 70 | | 4 | 5 | | 5 | 9 | | 6 | 52 | | 7 | 6 | | 8 | 40 | | 9 | 10 | | 10 | 56 | | 11 | 20 | | 12 | 31 | | 13 | 20 | | 14 | 4 | | 15 | 1 | | 16 | 1 | | 17 | 38 | | 18 | 20 | | 19 | 59 | | 20 | 9 | | 21 | 38 | | 22 | 15 | | 23 | 12 | | 24 | 31 | | 25 | 12 | | 26 | 35 | | 27 | 17 | | 28 | 48 | | 29 | 38 | | 30 | 4 | | 31 | 21 | | 32 | 44 | | 33 | 8 | | 34 | 48 | | 35 | 2 | | 36 | 38 | | 37 | 35 | | 38 | 13 | | 39 | 111 | | 40 | 15 | | 41 | 44 | | 42 | 16 | | 43 | 16 | | 44 | 21 | | 45 | 17 | | 46 | 28 | | 47 | 40 | | 48 | 12 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 34.16% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 201 | | matches | | 0 | "was wrestling" | | 1 | "was pulling" | | 2 | "was offering" | | 3 | "was standing" | | 4 | "was hunting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 130 | | ratio | 0.077 | | matches | | 0 | "Eva never knocked — she'd burst through her own door like a hurricane, usually mid-rant about whatever mystical catastrophe had befallen her day." | | 1 | "That accent — French silk over gravel, unmistakable even muffled by the door." | | 2 | "Whatever Lucien wanted — information, a favor, another one of his elaborate schemes — she'd hear him out and send him on his way." | | 3 | "But shadows haunted the hollows beneath his cheekbones, and his heterochromatic eyes — amber and black, demon and human — held an exhaustion she'd never seen before." | | 4 | "She remembered his hands — one warm, one fever-hot with his demon heritage — cradling her face in the rain." | | 5 | "In all their dealings — the careful dance of information and favors, the stolen moments between crises, the night everything fell apart — Lucien had never admitted to trusting anyone." | | 6 | "Lucien was offering her another kind of wound — the reopening of something barely healed." | | 7 | "Something flickered in his eyes — hope, maybe, though he'd deny it." | | 8 | "Outside, London hummed its nighttime song — sirens and laughter, humanity and magic existing in uneasy parallel." | | 9 | "He inclined his head, accepting her terms as he'd accepted her non-invitation invitation — with grace and something that might have been gratitude." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1169 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03592814371257485 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.013686911890504704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 12.48 | | std | 8.68 | | cv | 0.695 | | sampleLengths | | 0 | 16 | | 1 | 11 | | 2 | 23 | | 3 | 6 | | 4 | 6 | | 5 | 1 | | 6 | 12 | | 7 | 6 | | 8 | 13 | | 9 | 15 | | 10 | 36 | | 11 | 5 | | 12 | 4 | | 13 | 5 | | 14 | 12 | | 15 | 15 | | 16 | 8 | | 17 | 17 | | 18 | 5 | | 19 | 1 | | 20 | 9 | | 21 | 6 | | 22 | 24 | | 23 | 1 | | 24 | 10 | | 25 | 3 | | 26 | 17 | | 27 | 27 | | 28 | 9 | | 29 | 20 | | 30 | 7 | | 31 | 19 | | 32 | 5 | | 33 | 5 | | 34 | 15 | | 35 | 4 | | 36 | 1 | | 37 | 1 | | 38 | 9 | | 39 | 12 | | 40 | 17 | | 41 | 17 | | 42 | 3 | | 43 | 14 | | 44 | 6 | | 45 | 20 | | 46 | 19 | | 47 | 9 | | 48 | 17 | | 49 | 21 |
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| 74.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4846153846153846 | | totalSentences | 130 | | uniqueOpeners | 63 | |
| 73.26% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 91 | | matches | | 0 | "Then, a voice she hadn't" | | 1 | "Just quiet acknowledgment." |
| | ratio | 0.022 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 91 | | matches | | 0 | "She froze, key halfway turned," | | 1 | "Her hand slipped on the" | | 2 | "She pressed her forehead against" | | 3 | "She turned the remaining locks" | | 4 | "He looked terrible." | | 5 | "His left hand gripped his" | | 6 | "she said, because it was" | | 7 | "His mouth quirked, not quite" | | 8 | "His gaze traveled over her," | | 9 | "She crossed her arms" | | 10 | "She planted herself more firmly" | | 11 | "he corrected, and there was" | | 12 | "She remembered his hands —" | | 13 | "she asked again, quieter now" | | 14 | "He shifted his weight, a" | | 15 | "he said finally" | | 16 | "He tilted his head, and" | | 17 | "he interrupted, taking a step" | | 18 | "She could smell his cologne" | | 19 | "His mismatched eyes held hers," |
| | ratio | 0.385 | |
| 91.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 91 | | matches | | 0 | "The knock came just as" | | 1 | "She froze, key halfway turned," | | 2 | "Eva never knocked — she'd" | | 3 | "Aurora called through the wood" | | 4 | "Her hand slipped on the" | | 5 | "That accent — French silk" | | 6 | "She pressed her forehead against" | | 7 | "The words landed like stones" | | 8 | "Aurora's fingers found the crescent" | | 9 | "She turned the remaining locks" | | 10 | "Whatever Lucien wanted — information," | | 11 | "The door swung open, and" | | 12 | "He looked terrible." | | 13 | "His left hand gripped his" | | 14 | "she said, because it was" | | 15 | "His mouth quirked, not quite" | | 16 | "His gaze traveled over her," | | 17 | "She crossed her arms" | | 18 | "She planted herself more firmly" | | 19 | "he corrected, and there was" |
| | ratio | 0.736 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "Lucien Moreau, who could lie in four languages without blinking, who'd built an empire on secrets and strategic silences, was nervous." | | 1 | "Aurora felt the crescent scar beneath her fingertips, remembered the bike accident that caused it, the shock of pain and the dizzying realization that skin coul…" | | 2 | "When she turned, he was standing in the center of Eva's chaos, looking simultaneously out of place and perfectly at home among the towering books and mystical d…" | | 3 | "As Aurora filled the kettle, she felt the weight of Lucien's presence reshaping the space, filling corners that had learned his absence." | | 4 | "Inside Eva's flat, two people who'd parted on complicated terms began the delicate work of existing in the same space again." | | 5 | "He inclined his head, accepting her terms as he'd accepted her non-invitation invitation — with grace and something that might have been gratitude." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 3 | | matches | | 0 | "He stopped, jaw tightening" | | 1 | "Aurora closed, fingers moving automatically through the locks" | | 2 | "But he followed, Ptolemy trailing behind like a devoted shadow" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "he corrected (correct)" | | 1 | "he interrupted (interrupt)" | | 2 | "she admitted (admit)" |
| | dialogueSentences | 65 | | tagDensity | 0.185 | | leniency | 0.369 | | rawRatio | 0.25 | | effectiveRatio | 0.092 | |