| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he replied smoothly [smoothly]" |
| | dialogueSentences | 27 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.077 | | effectiveRatio | 0.074 | |
| 83.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1228 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "perfectly" | | 3 | "very" |
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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) | |
| 30.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1228 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "velvet" | | 3 | "silence" | | 4 | "sanctuary" | | 5 | "navigated" | | 6 | "scanning" | | 7 | "echoing" | | 8 | "weight" | | 9 | "calculated" | | 10 | "intensity" | | 11 | "magnetic" | | 12 | "reminder" | | 13 | "predator" | | 14 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1220 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 880 | | uniqueNames | 10 | | maxNameDensity | 1.36 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Eva | 4 | | Brick | 1 | | Lane | 1 | | Moreau | 1 | | East | 1 | | London | 2 | | Aurora | 12 | | French | 2 | | Cardiff | 1 | | Lucien | 7 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "East" | | 3 | "London" | | 4 | "Cardiff" |
| | globalScore | 0.818 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1220 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 36.97 | | std | 22.43 | | cv | 0.607 | | sampleLengths | | 0 | 65 | | 1 | 70 | | 2 | 31 | | 3 | 20 | | 4 | 27 | | 5 | 8 | | 6 | 8 | | 7 | 17 | | 8 | 78 | | 9 | 21 | | 10 | 38 | | 11 | 71 | | 12 | 43 | | 13 | 6 | | 14 | 32 | | 15 | 35 | | 16 | 47 | | 17 | 51 | | 18 | 48 | | 19 | 57 | | 20 | 54 | | 21 | 56 | | 22 | 55 | | 23 | 9 | | 24 | 23 | | 25 | 61 | | 26 | 23 | | 27 | 26 | | 28 | 20 | | 29 | 84 | | 30 | 13 | | 31 | 6 | | 32 | 17 |
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| 88.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 62 | | matches | | 0 | "was buried" | | 1 | "been offered" | | 2 | "been opened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 6 | | flaggedSentences | 11 | | totalSentences | 76 | | ratio | 0.145 | | matches | | 0 | "One eye was the color of burnt amber; the other was a void of absolute black." | | 1 | "The silence was heavy, filled with the ghosts of the last year—the sudden silence of his departure, the unanswered messages, and the jagged hole he had left in her life." | | 2 | "Aurora had spent months convincing herself that she was better off without him, that a woman with her history—a woman who had already fled one kind of monster in Cardiff—shouldn't have fallen for a different kind of monster in London." | | 3 | "Eva’s place was a sanctuary of academic chaos; every flat surface was buried under leather-bound journals, loose parchment, and half-empty mugs of cold tea." | | 4 | "She felt the small, crescent-shaped scar on her left wrist itch—a nervous habit she’d had since childhood." | | 5 | "The intensity in his gaze was suffocating; it was the look of a man who had spent a year starving and had just been offered a feast." | | 6 | "He didn't use the cane; he dropped it, the wood clattering against a stack of books, and closed the distance between them in two long strides." | | 7 | "He didn't touch her, but he crowded her into the wall, his scent—sandalwood, expensive tobacco, and something metallic, like ozone before a storm—filling her senses." | | 8 | "She wanted to push him away; she wanted to pull him closer." | | 9 | "Aurora looked up into those mismatched eyes—the amber of a predator, the black of a void." | | 10 | "The kiss was not gentle; it was a collision of a year's worth of resentment, longing, and unspoken apologies." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 892 | | adjectiveStacks | 2 | | stackExamples | | 0 | "under leather-bound journals," | | 1 | "small, crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.033632286995515695 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01233183856502242 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 16.05 | | std | 9.2 | | cv | 0.573 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 32 | | 3 | 29 | | 4 | 27 | | 5 | 14 | | 6 | 15 | | 7 | 16 | | 8 | 3 | | 9 | 17 | | 10 | 3 | | 11 | 14 | | 12 | 10 | | 13 | 8 | | 14 | 8 | | 15 | 14 | | 16 | 3 | | 17 | 8 | | 18 | 30 | | 19 | 40 | | 20 | 16 | | 21 | 5 | | 22 | 10 | | 23 | 28 | | 24 | 11 | | 25 | 24 | | 26 | 15 | | 27 | 21 | | 28 | 13 | | 29 | 13 | | 30 | 17 | | 31 | 6 | | 32 | 11 | | 33 | 21 | | 34 | 5 | | 35 | 30 | | 36 | 3 | | 37 | 14 | | 38 | 30 | | 39 | 16 | | 40 | 35 | | 41 | 3 | | 42 | 18 | | 43 | 27 | | 44 | 6 | | 45 | 26 | | 46 | 25 | | 47 | 14 | | 48 | 40 | | 49 | 6 |
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| 43.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.34210526315789475 | | totalSentences | 76 | | uniqueOpeners | 26 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Then he looked at her," |
| | ratio | 0.018 | |
| 30.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 55 | | matches | | 0 | "It was a ritual of" | | 1 | "She expected a delivery, or" | | 2 | "He wore a tailored charcoal" | | 3 | "He leaned slightly on his" | | 4 | "His voice was a low," | | 5 | "She stayed framed in the" | | 6 | "he replied smoothly" | | 7 | "He stopped in the center" | | 8 | "She crossed her arms, leaning" | | 9 | "She felt the small, crescent-shaped" | | 10 | "He shifted his weight, the" | | 11 | "She stepped toward him, her" | | 12 | "He moved before she could" | | 13 | "He didn't use the cane;" | | 14 | "He didn't touch her, but" | | 15 | "he whispered, his breath warm" | | 16 | "She wanted to push him" | | 17 | "she breathed, though her voice" | | 18 | "He finally reached out, his" | | 19 | "His skin was unnaturally cool," |
| | ratio | 0.473 | |
| 14.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 55 | | matches | | 0 | "Aurora worked the three deadbolts" | | 1 | "It was a ritual of" | | 2 | "She expected a delivery, or" | | 3 | "Lucien Moreau stood in the" | | 4 | "He wore a tailored charcoal" | | 5 | "He leaned slightly on his" | | 6 | "His voice was a low," | | 7 | "Aurora didn’t move." | | 8 | "She stayed framed in the" | | 9 | "he replied smoothly" | | 10 | "A ghost of a smile" | | 11 | "The silence was heavy, filled" | | 12 | "Aurora had spent months convincing" | | 13 | "Ptolemy, Eva’s tabby cat, wove" | | 14 | "The sound broke the spell." | | 15 | "Aurora sighed, stepping back to" | | 16 | "Lucien stepped into the flat," | | 17 | "Eva’s place was a sanctuary" | | 18 | "Lucien navigated the clutter with" | | 19 | "He stopped in the center" |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "Lucien Moreau stood in the dim light of the landing, looking as though he had stepped directly out of a high-fashion editorial and into the grime of East London…" | | 1 | "He wore a tailored charcoal suit that fit his lean frame with mathematical precision, his platinum blond hair slicked back without a single strand out of place." | | 2 | "Aurora had spent months convincing herself that she was better off without him, that a woman with her history—a woman who had already fled one kind of monster i…" | | 3 | "The intensity in his gaze was suffocating; it was the look of a man who had spent a year starving and had just been offered a feast." | | 4 | "She reached up, her hand hovering over the lapel of his suit before finally gripping the fabric, pulling him just an inch closer." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "She stepped, her voice dropping" | | 1 | "he whispered, his breath warm against her cheek" | | 2 | "she breathed, though her voice lacked the conviction she wanted" | | 3 | "he murmured, his gaze dropping to her lips" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 7 | | fancyTags | | 0 | "Aurora sighed (sigh)" | | 1 | "Aurora snapped (snap)" | | 2 | "he whispered (whisper)" | | 3 | "she breathed (breathe)" | | 4 | "he murmured (murmur)" | | 5 | "she whispered (whisper)" | | 6 | "he whispered (whisper)" |
| | dialogueSentences | 27 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.583 | | effectiveRatio | 0.519 | |