| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said instead [instead]" |
| | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.083 | | effectiveRatio | 0.059 | |
| 79.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1236 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "suddenly" | | 3 | "really" | | 4 | "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) | |
| 47.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1236 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "practiced ease" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "flicked" | | 1 | "unreadable" | | 2 | "stomach" | | 3 | "pulse" | | 4 | "eyebrow" | | 5 | "practiced ease" | | 6 | "weight" | | 7 | "tension" | | 8 | "traced" | | 9 | "whisper" | | 10 | "charged" | | 11 | "electric" | | 12 | "silence" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 10 | | totalWords | 1223 | | ratio | 0.008 | | matches | | 0 | "clink" | | 1 | "quiet" | | 2 | "click" | | 3 | "good" | | 4 | "him" | | 5 | "chérie" | | 6 | "tonight" | | 7 | "was" | | 8 | "wanted" | | 9 | "chérie" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1055 | | uniqueNames | 8 | | maxNameDensity | 1.14 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Cardiff | 2 | | Moreau | 1 | | London | 1 | | Rory | 12 | | French | 1 | | Ptolemy | 2 | | Lucien | 8 | | Should | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Should" |
| | places | | | globalScore | 0.931 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "something like burnt sugar and ozone—rolled" |
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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 | 1223 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 125 | | matches | | 0 | "chose that moment" | | 1 | "like that, the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 26.02 | | std | 21.45 | | cv | 0.824 | | sampleLengths | | 0 | 56 | | 1 | 39 | | 2 | 5 | | 3 | 74 | | 4 | 49 | | 5 | 4 | | 6 | 78 | | 7 | 6 | | 8 | 65 | | 9 | 15 | | 10 | 18 | | 11 | 7 | | 12 | 15 | | 13 | 22 | | 14 | 46 | | 15 | 32 | | 16 | 38 | | 17 | 6 | | 18 | 6 | | 19 | 52 | | 20 | 14 | | 21 | 16 | | 22 | 6 | | 23 | 59 | | 24 | 10 | | 25 | 2 | | 26 | 19 | | 27 | 17 | | 28 | 11 | | 29 | 33 | | 30 | 21 | | 31 | 28 | | 32 | 60 | | 33 | 23 | | 34 | 6 | | 35 | 13 | | 36 | 60 | | 37 | 13 | | 38 | 35 | | 39 | 53 | | 40 | 5 | | 41 | 7 | | 42 | 4 | | 43 | 47 | | 44 | 11 | | 45 | 8 | | 46 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 125 | | ratio | 0.064 | | matches | | 0 | "The knock came just after midnight, sharp and insistent—three quick raps, then a pause, then two more." | | 1 | "The flat was small—just one room with a kitchenette crammed into the corner, a sagging sofa that doubled as a bed, and a bathroom so tiny she had to turn sideways to use the shower." | | 2 | "His heterochromatic eyes—one amber, one black—locked onto hers, unreadable." | | 3 | "The scent of rain and something darker—something like burnt sugar and ozone—rolled off him, filling the cramped space between them." | | 4 | "Hadn’t expected the way her traitorous heart stuttered when he looked at her like that—like she was the only thing in the room worth seeing." | | 5 | "But her breath hitched when he reached out, his fingers brushing against the scar on her left wrist—the crescent-shaped mark from a childhood accident." | | 6 | "Missed the way he made her feel—alive, dangerous, *wanted*." | | 7 | "But all she could focus on was him—his scent, his heat, the way his eyes darkened when he looked at her." |
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| 97.31% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1068 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.04307116104868914 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010299625468164793 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 9.78 | | std | 6.92 | | cv | 0.708 | | sampleLengths | | 0 | 17 | | 1 | 13 | | 2 | 5 | | 3 | 4 | | 4 | 17 | | 5 | 14 | | 6 | 10 | | 7 | 15 | | 8 | 2 | | 9 | 3 | | 10 | 13 | | 11 | 35 | | 12 | 26 | | 13 | 14 | | 14 | 14 | | 15 | 21 | | 16 | 4 | | 17 | 28 | | 18 | 27 | | 19 | 14 | | 20 | 9 | | 21 | 6 | | 22 | 3 | | 23 | 8 | | 24 | 18 | | 25 | 13 | | 26 | 2 | | 27 | 21 | | 28 | 15 | | 29 | 11 | | 30 | 7 | | 31 | 7 | | 32 | 10 | | 33 | 5 | | 34 | 3 | | 35 | 1 | | 36 | 10 | | 37 | 2 | | 38 | 3 | | 39 | 3 | | 40 | 9 | | 41 | 20 | | 42 | 3 | | 43 | 3 | | 44 | 11 | | 45 | 22 | | 46 | 10 | | 47 | 16 | | 48 | 12 | | 49 | 10 |
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| 42.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.32 | | totalSentences | 125 | | uniqueOpeners | 40 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 94 | | matches | | 0 | "Just the weight of everything" | | 1 | "Instead, he let his hand" |
| | ratio | 0.021 | |
| 92.34% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 94 | | matches | | 0 | "She set the mug down" | | 1 | "She crossed the room in" | | 2 | "His charcoal suit was immaculate," | | 3 | "His heterochromatic eyes—one amber, one" | | 4 | "She should’ve slammed the door" | | 5 | "Her voice came out steady," | | 6 | "He tilted his head, just" | | 7 | "She didn’t answer." | | 8 | "She never did." | | 9 | "His voice dropped, rougher now," | | 10 | "She should’ve known he’d weasel" | | 11 | "She stepped back, just enough" | | 12 | "His suit jacket followed, revealing" | | 13 | "She looked away before he" | | 14 | "he said, turning to face" | | 15 | "He leaned against the sofa," | | 16 | "He spread his hands, all" | | 17 | "Her voice was sharp, but" | | 18 | "His expression darkened, the amber" | | 19 | "She didn’t answer." |
| | ratio | 0.319 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 94 | | matches | | 0 | "The knock came just after" | | 1 | "Rory froze mid-sip of her" | | 2 | "She set the mug down" | | 3 | "Ptolemy, curled on the windowsill," | | 4 | "The tabby’s tail flicked once," | | 5 | "Rory exhaled through her nose," | | 6 | "The flat was small—just one" | | 7 | "The front door was the" | | 8 | "She crossed the room in" | | 9 | "The deadbolts were cold under" | | 10 | "The third lock stuck, as" | | 11 | "The door swung open." | | 12 | "Lucien Moreau stood in the" | | 13 | "His charcoal suit was immaculate," | | 14 | "Water beaded on the shoulders" | | 15 | "His heterochromatic eyes—one amber, one" | | 16 | "Rory’s fingers twitched." | | 17 | "She should’ve slammed the door" | | 18 | "The kind of good that" | | 19 | "Her voice came out steady," |
| | ratio | 0.702 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 94 | | matches | | 0 | "Because the truth was, she" | | 1 | "Because that *was* what she’d" | | 2 | "Because as much as she" |
| | ratio | 0.032 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "The tabby’s tail flicked once, slow and deliberate, as if he, too, recognised the pattern." | | 1 | "The flat was small—just one room with a kitchenette crammed into the corner, a sagging sofa that doubled as a bed, and a bathroom so tiny she had to turn sidewa…" | | 2 | "His charcoal suit was immaculate, not a crease out of place, as if he’d just stepped out of a boardroom instead of the rain-slicked streets of London." | | 3 | "Instead, he let his hand drop, his fingers lingering for just a second before falling away." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, turning to face her" | | 1 | "His expression darkened, the amber eye flashing" | | 2 | "she asked, her voice barely above a whisper" | | 3 | "she reminded, her voice steadier than she felt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0 | | effectiveRatio | 0 | |