| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Lucien said quietly [quietly]" |
| | dialogueSentences | 70 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.05 | | effectiveRatio | 0.029 | |
| 96.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1630 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 78.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1630 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "glistening" | | 1 | "weight" | | 2 | "tenderness" | | 3 | "tension" | | 4 | "fractured" | | 5 | "eyebrow" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1640 | | ratio | 0.004 | | matches | | 0 | "Aurora Carter. Flat 3B, 14 Brick Lane." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 919 | | uniqueNames | 15 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | Ptolemy | 5 | | Moreau | 1 | | Cardiff | 1 | | Brick | 2 | | Lane | 2 | | Rory | 7 | | Soho | 1 | | Lucien | 4 | | Silas | 1 | | Hackney | 1 | | Kensal | 1 | | Green | 1 | | Carter | 1 | | Evan | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" | | 5 | "Silas" | | 6 | "Carter" | | 7 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Soho" | | 4 | "Hackney" | | 5 | "Kensal" |
| | globalScore | 1 | | windowScore | 1 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "quite a smile" | | 1 | "looked like a photograph from the wrong a" |
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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 | 1640 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 139 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 21.3 | | std | 18.96 | | cv | 0.89 | | sampleLengths | | 0 | 26 | | 1 | 12 | | 2 | 16 | | 3 | 18 | | 4 | 24 | | 5 | 47 | | 6 | 1 | | 7 | 22 | | 8 | 5 | | 9 | 31 | | 10 | 10 | | 11 | 5 | | 12 | 61 | | 13 | 6 | | 14 | 22 | | 15 | 4 | | 16 | 4 | | 17 | 65 | | 18 | 2 | | 19 | 6 | | 20 | 4 | | 21 | 37 | | 22 | 12 | | 23 | 15 | | 24 | 2 | | 25 | 3 | | 26 | 11 | | 27 | 54 | | 28 | 8 | | 29 | 2 | | 30 | 49 | | 31 | 12 | | 32 | 54 | | 33 | 5 | | 34 | 35 | | 35 | 46 | | 36 | 28 | | 37 | 5 | | 38 | 34 | | 39 | 16 | | 40 | 35 | | 41 | 28 | | 42 | 4 | | 43 | 45 | | 44 | 24 | | 45 | 7 | | 46 | 39 | | 47 | 4 | | 48 | 62 | | 49 | 13 |
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| 97.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 40.08% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 139 | | ratio | 0.036 | | matches | | 0 | "Three years since she'd told him she couldn't do it anymore — the half-truths, the midnight phone calls that sent him running into alleys, the blood he'd wipe from his knuckles before kissing her forehead goodnight." | | 1 | "His gaze swept the flat — the towers of stacked books, the corkboard covered in pinned photographs and handwritten notes, the half-eaten bowl of noodles on the coffee table." | | 2 | "Her fingers brushed his, and the contact sent a jolt through her — the same electricity she'd felt the first night at Silas's bar when he'd bought her a drink and she'd noticed his eyes didn't match and decided she didn't care." | | 3 | "\"With what? A bicycle and a delivery bag?\" He caught her wrist — the left one, thumb pressing against the crescent-shaped scar." | | 4 | "She looked up into those mismatched eyes — one amber, one black — and saw the same haunted want she'd been burying for three years." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 918 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02178649237472767 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0054466230936819175 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 11.8 | | std | 10.84 | | cv | 0.919 | | sampleLengths | | 0 | 26 | | 1 | 4 | | 2 | 2 | | 3 | 6 | | 4 | 3 | | 5 | 13 | | 6 | 2 | | 7 | 3 | | 8 | 13 | | 9 | 24 | | 10 | 17 | | 11 | 15 | | 12 | 15 | | 13 | 1 | | 14 | 10 | | 15 | 5 | | 16 | 2 | | 17 | 5 | | 18 | 5 | | 19 | 18 | | 20 | 13 | | 21 | 7 | | 22 | 3 | | 23 | 5 | | 24 | 11 | | 25 | 4 | | 26 | 24 | | 27 | 22 | | 28 | 6 | | 29 | 8 | | 30 | 14 | | 31 | 4 | | 32 | 4 | | 33 | 4 | | 34 | 11 | | 35 | 36 | | 36 | 8 | | 37 | 6 | | 38 | 2 | | 39 | 6 | | 40 | 4 | | 41 | 12 | | 42 | 11 | | 43 | 14 | | 44 | 12 | | 45 | 15 | | 46 | 2 | | 47 | 3 | | 48 | 6 | | 49 | 5 |
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| 61.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.4244604316546763 | | totalSentences | 139 | | uniqueOpeners | 59 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Somewhere below, a car splashed" |
| | ratio | 0.013 | |
| 47.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 79 | | matches | | 0 | "She checked her phone." | | 1 | "He glared at the door" | | 2 | "His platinum hair had lost" | | 3 | "His mouth curved into something" | | 4 | "She held the door where" | | 5 | "He was the sort of" | | 6 | "He leaned on his cane," | | 7 | "She'd told herself it was" | | 8 | "She'd told herself she wasn't" | | 9 | "She could have slammed the" | | 10 | "He said it like she'd" | | 11 | "She stepped back, and he" | | 12 | "His gaze swept the flat" | | 13 | "He turned to face her," | | 14 | "He set his cane against" | | 15 | "He reached into his inner" | | 16 | "Her fingers brushed his, and" | | 17 | "Hers sat between a clairvoyant" | | 18 | "He stepped closer" | | 19 | "His voice dropped" |
| | ratio | 0.43 | |
| 35.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 79 | | matches | | 0 | "Rory had just settled onto" | | 1 | "She checked her phone." | | 2 | "Eva wasn't due back until" | | 3 | "Ptolemy's ears swiveled." | | 4 | "He glared at the door" | | 5 | "Rory set her mug down," | | 6 | "Lucien Moreau stood in the" | | 7 | "His platinum hair had lost" | | 8 | "The ivory handle of his" | | 9 | "The name hit her like" | | 10 | "His mouth curved into something" | | 11 | "She held the door where" | | 12 | "The rain had plastered his" | | 13 | "He was the sort of" | | 14 | "He leaned on his cane," | | 15 | "Rory held his gaze." | | 16 | "She'd told herself it was" | | 17 | "She'd told herself she wasn't" | | 18 | "The softness in his voice" | | 19 | "She could have slammed the" |
| | ratio | 0.848 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "Whoever it was knew the" |
| | ratio | 0.013 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "He was the sort of man who belonged in candlelit rooms and underground clubs where the air smelled of expensive cologne and old secrets." | | 1 | "Three years since she'd told him she couldn't do it anymore — the half-truths, the midnight phone calls that sent him running into alleys, the blood he'd wipe f…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "He leaned, weight shifting" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.086 | | leniency | 0.171 | | rawRatio | 0 | | effectiveRatio | 0 | |