| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 47 | | tagDensity | 0.489 | | leniency | 0.979 | | rawRatio | 0.043 | | effectiveRatio | 0.043 | |
| 70.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1339 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
| | 6 | |
| | highlights | | 0 | "precisely" | | 1 | "completely" | | 2 | "slightly" | | 3 | "suddenly" | | 4 | "softly" | | 5 | "barely above a whisper" | | 6 | "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) | |
| 62.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1339 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "facade" | | 1 | "familiar" | | 2 | "intensity" | | 3 | "tension" | | 4 | "crystallized" | | 5 | "charged" | | 6 | "silence" | | 7 | "flicker" | | 8 | "whisper" |
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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 | 67 | | matches | (empty) | |
| 78.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" |
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| 95.79% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0.011 | | matches | | 0 | "A smirk played on his lips, that礼貌恰到好处的挑衅游戏他总喜欢玩的。" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1333 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 906 | | uniqueNames | 9 | | maxNameDensity | 0.88 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 4 | | Rory | 8 | | Moreau | 1 | | Tuesdays | 1 | | Ptolemy | 2 | | London | 1 | | Lucien | 5 | | Frenchman | 1 | | Somehow | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Frenchman" | | 6 | "Somehow" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "quite make sense" | | 1 | "sigh that seemed to contain their entire complicated history, she nodded toward the sofa" |
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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 | 1333 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 95.18% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 25.63 | | std | 12.38 | | cv | 0.483 | | sampleLengths | | 0 | 49 | | 1 | 12 | | 2 | 24 | | 3 | 20 | | 4 | 40 | | 5 | 30 | | 6 | 7 | | 7 | 20 | | 8 | 24 | | 9 | 13 | | 10 | 44 | | 11 | 14 | | 12 | 27 | | 13 | 17 | | 14 | 45 | | 15 | 37 | | 16 | 27 | | 17 | 22 | | 18 | 40 | | 19 | 22 | | 20 | 7 | | 21 | 25 | | 22 | 6 | | 23 | 3 | | 24 | 29 | | 25 | 26 | | 26 | 14 | | 27 | 32 | | 28 | 21 | | 29 | 23 | | 30 | 32 | | 31 | 24 | | 32 | 8 | | 33 | 25 | | 34 | 6 | | 35 | 38 | | 36 | 30 | | 37 | 28 | | 38 | 26 | | 39 | 66 | | 40 | 28 | | 41 | 26 | | 42 | 14 | | 43 | 34 | | 44 | 10 | | 45 | 38 | | 46 | 29 | | 47 | 34 | | 48 | 16 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 168 | | matches | | |
| 47.62% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 90 | | ratio | 0.033 | | matches | | 0 | "Rory never kept track of exact times, but something about the rhythm—three sharp, deliberate raps followed by a pause—sliced through her tranquility." | | 1 | "The tea shop on the corner—he knew it was her favorite, the place she always visited on Tuesdays." | | 2 | "The man who'd claimed such indifference just announced he'd been—the Frenchman admit it—counting the days until he saw her again." |
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| 66.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 58 | | adverbRatio | 0.06345733041575492 | | lyAdverbCount | 26 | | lyAdverbRatio | 0.028446389496717725 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 14.81 | | std | 8.03 | | cv | 0.542 | | sampleLengths | | 0 | 11 | | 1 | 22 | | 2 | 16 | | 3 | 10 | | 4 | 2 | | 5 | 15 | | 6 | 4 | | 7 | 5 | | 8 | 20 | | 9 | 13 | | 10 | 19 | | 11 | 8 | | 12 | 9 | | 13 | 21 | | 14 | 7 | | 15 | 9 | | 16 | 11 | | 17 | 16 | | 18 | 8 | | 19 | 13 | | 20 | 20 | | 21 | 24 | | 22 | 14 | | 23 | 8 | | 24 | 16 | | 25 | 3 | | 26 | 17 | | 27 | 10 | | 28 | 18 | | 29 | 17 | | 30 | 18 | | 31 | 19 | | 32 | 15 | | 33 | 12 | | 34 | 10 | | 35 | 12 | | 36 | 8 | | 37 | 32 | | 38 | 20 | | 39 | 2 | | 40 | 7 | | 41 | 21 | | 42 | 4 | | 43 | 6 | | 44 | 3 | | 45 | 5 | | 46 | 11 | | 47 | 13 | | 48 | 13 | | 49 | 13 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.43333333333333335 | | totalSentences | 90 | | uniqueOpeners | 39 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Then, with a sigh that" |
| | ratio | 0.015 | |
| 26.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 66 | | matches | | 0 | "she called from the couch," | | 1 | "She crested the small landing" | | 2 | "He never changed, did he?" | | 3 | "He pleased to lean on" | | 4 | "he said, his voice smooth" | | 5 | "he said, stepping forward slightly" | | 6 | "He chuckled, low and rumbling," | | 7 | "she retorted, feeling her control" | | 8 | "His smile deepened, cutting through" | | 9 | "He always saw the cracks," | | 10 | "It was infuriating." | | 11 | "he said, holding up a" | | 12 | "she finally managed, stepping aside" | | 13 | "She thought he'd work himself" | | 14 | "he acknowledged, following her into" | | 15 | "she said, not a question" | | 16 | "he replied, watching her sort" | | 17 | "She hadn't even been counting" | | 18 | "she asked, finally turning to" | | 19 | "He'd moved closer while her" |
| | ratio | 0.485 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 66 | | matches | | 0 | "The triple knock on Eva's" | | 1 | "Rory never kept track of" | | 2 | "Ptolemy, the tabby cat sprawled" | | 3 | "she called from the couch," | | 4 | "She crested the small landing" | | 5 | "Frustration shot through her." | | 6 | "He never changed, did he?" | | 7 | "Lucien Moreau filled the threshold," | | 8 | "The dim hallway light caught" | | 9 | "He pleased to lean on" | | 10 | "he said, his voice smooth" | | 11 | "A smirk played on his" | | 12 | "Rory crossed her arms, blocking" | | 13 | "he said, stepping forward slightly" | | 14 | "He chuckled, low and rumbling," | | 15 | "she retorted, feeling her control" | | 16 | "His smile deepened, cutting through" | | 17 | "He always saw the cracks," | | 18 | "It was infuriating." | | 19 | "he said, holding up a" |
| | ratio | 0.955 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 7 | | matches | | 0 | "Someone had mentioned it to Eva, and the word had trickled back through the channels of unlikely friends that had formed in their short time living so convenien…" | | 1 | "Lucien shook his head, removing his tailored jacket and draping it over the back of the sofa with surgical precision." | | 2 | "The man who'd claimed such indifference just announced he'd been—the Frenchman admit it—counting the days until he saw her again." | | 3 | "The question hung between them, and the truth of their history, the things that had driven them apart and maybe, the possibility that kept them thinking about t…" | | 4 | "Rory watched him for a long moment, her brilliant blue eyes searching something in his expression that didn't quite make sense." | | 5 | "A flicker of something resembling triumph lit his heterochromatic eyes as he draped his jacket once more and settled onto Eva's worn sofa with the ease of someo…" | | 6 | "The small crescent-shaped scar on her wrist flashed in the lamplight as she carefully set his cup down without spilling a drop, the ritual Somehow connected to …" |
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| 38.04% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 4 | | matches | | 0 | "she called, not moving" | | 1 | "he said, his voice smooth as aged whiskey" | | 2 | "he admitted, his usual poise crumbling slightly" | | 3 | "he corrected, his voice barely above a whisper as she approached" |
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| 1.06% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 22 | | fancyCount | 7 | | fancyTags | | 0 | "she retorted (retort)" | | 1 | "he acknowledged (acknowledge)" | | 2 | "he repeated (repeat)" | | 3 | "he admitted (admit)" | | 4 | "he conceded (concede)" | | 5 | "she retorted (retort)" | | 6 | "he corrected (correct)" |
| | dialogueSentences | 47 | | tagDensity | 0.468 | | leniency | 0.936 | | rawRatio | 0.318 | | effectiveRatio | 0.298 | |