| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said finally [finally]" |
| | dialogueSentences | 15 | | tagDensity | 0.733 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 82.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 856 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "languidly" | | 2 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 856 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "otherworldly" | | 1 | "unspoken" | | 2 | "tension" | | 3 | "reminder" | | 4 | "perfect" | | 5 | "wavered" | | 6 | "racing" | | 7 | "palpable" | | 8 | "measured" | | 9 | "flickered" | | 10 | "depths" | | 11 | "fleeting" | | 12 | "enigmatic" | | 13 | "scanned" | | 14 | "chaotic" | | 15 | "tinged" | | 16 | "familiar" | | 17 | "kaleidoscope" | | 18 | "intensity" | | 19 | "whisper" | | 20 | "grave" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 39 | | matches | (empty) | |
| 32.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 39 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 41 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 858 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 725 | | uniqueNames | 9 | | maxNameDensity | 1.38 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Carter | 1 | | Rory | 8 | | Lucien | 10 | | Moreau | 1 | | French | 1 | | Ptolemy | 2 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Moreau" |
| | places | | | globalScore | 0.81 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 1 | | matches | | 0 | "m in, Ptolemy, seemingly bored with the proc" |
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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 | 858 | | matches | (empty) | |
| 85.37% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 41 | | matches | | |
| 65.13% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 57.2 | | std | 21.62 | | cv | 0.378 | | sampleLengths | | 0 | 82 | | 1 | 115 | | 2 | 42 | | 3 | 79 | | 4 | 66 | | 5 | 55 | | 6 | 54 | | 7 | 45 | | 8 | 61 | | 9 | 54 | | 10 | 62 | | 11 | 27 | | 12 | 47 | | 13 | 37 | | 14 | 32 |
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| 87.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 39 | | matches | | 0 | "was followed" | | 1 | "was tied" |
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| 14.81% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 108 | | matches | | 0 | "was watching" | | 1 | "was grudging" | | 2 | "was fleeting" |
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| 3.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 41 | | ratio | 0.049 | | matches | | 0 | "Rory, on the other hand, was a study in contrasts – her straight shoulder-length black hair was tied up in a practical knot, and her worn jeans and faded band T-shirt made her look like she'd just rolled out of bed." | | 1 | "Rory's world narrowed to a single point – the sound of her ex's name on Lucien's lips." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 727 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 27 | | adverbRatio | 0.037138927097661624 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012379642365887207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 41 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 41 | | mean | 20.93 | | std | 11.66 | | cv | 0.557 | | sampleLengths | | 0 | 28 | | 1 | 25 | | 2 | 29 | | 3 | 18 | | 4 | 26 | | 5 | 41 | | 6 | 30 | | 7 | 17 | | 8 | 25 | | 9 | 13 | | 10 | 66 | | 11 | 9 | | 12 | 15 | | 13 | 16 | | 14 | 7 | | 15 | 19 | | 16 | 8 | | 17 | 47 | | 18 | 6 | | 19 | 21 | | 20 | 27 | | 21 | 12 | | 22 | 33 | | 23 | 17 | | 24 | 20 | | 25 | 24 | | 26 | 16 | | 27 | 19 | | 28 | 19 | | 29 | 28 | | 30 | 34 | | 31 | 23 | | 32 | 4 | | 33 | 18 | | 34 | 19 | | 35 | 10 | | 36 | 17 | | 37 | 5 | | 38 | 15 | | 39 | 18 | | 40 | 14 |
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| 74.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4634146341463415 | | totalSentences | 41 | | uniqueOpeners | 19 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 39 | | matches | | 0 | "Then, with a quiet deliberation," |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 39 | | matches | | 0 | "She didn't step back, nor" | | 1 | "he said, his deep voice" | | 2 | "It had been months since" | | 3 | "she replied, the words measured" | | 4 | "His gaze flickered to the" | | 5 | "His eyes scanned the room," | | 6 | "he observed, his voice tinged" | | 7 | "she explained, moving to follow" | | 8 | "His voice had dropped, taking" | | 9 | "She stopped a few feet" | | 10 | "Her voice was barely above" |
| | ratio | 0.282 | |
| 11.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 39 | | matches | | 0 | "The soft clunk of the" | | 1 | "Aurora Carter, known to her" | | 2 | "The flickering glow of the" | | 3 | "Lucien, resplendent in a tailored" | | 4 | "Rory, on the other hand," | | 5 | "The small crescent-shaped scar on" | | 6 | "Rory said finally, her voice" | | 7 | "She didn't step back, nor" | | 8 | "Lucien's gaze never wavered, his" | | 9 | "he said, his deep voice" | | 10 | "Rory's grip on the door" | | 11 | "It had been months since" | | 12 | "The attraction between them had" | | 13 | "she replied, the words measured" | | 14 | "The explanation was threadbare, but" | | 15 | "Lucien inclined his head, the" | | 16 | "His gaze flickered to the" | | 17 | "Rory hesitated, her thoughts at" | | 18 | "A part of her screamed" | | 19 | "Another, more reckless part, wondered" |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien, resplendent in a tailored charcoal suit, his platinum blond hair sleekly brushed back, looked as though he'd just stepped out of a high-end fashion spre…" | | 1 | "Lucien turned, his eyes locking onto hers, the intensity of his gaze making her heart skip a beat." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "she replied, the words measured" | | 1 | "she explained, moving to follow him, her eyes never leaving his back" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "she explained (explain)" |
| | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.4 | | effectiveRatio | 0.267 | |