| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "His hand closed around [around]" | | 1 | "He pulled back [back]" |
| | dialogueSentences | 74 | | tagDensity | 0.284 | | leniency | 0.568 | | rawRatio | 0.095 | | effectiveRatio | 0.054 | |
| 71.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1560 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "very" | | 1 | "perfectly" | | 2 | "slowly" |
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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) | |
| 51.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1560 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "throbbed" | | 1 | "fascinating" | | 2 | "could feel" | | 3 | "reminder" | | 4 | "sense of" | | 5 | "uncanny" | | 6 | "oppressive" | | 7 | "silence" | | 8 | "eyebrow" | | 9 | "simmering" | | 10 | "chill" | | 11 | "warmth" | | 12 | "down her spine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1560 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 956 | | uniqueNames | 11 | | maxNameDensity | 1.15 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Bordeaux | 1 | | Rory | 11 | | Lucien | 6 | | Avaros | 1 | | Cardiff | 2 | | Frenchman | 1 | | London | 1 | | Welsh | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.925 | | windowScore | 1 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he belonged in a painting" | | 1 | "looked like voids" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.641 | | wordCount | 1560 | | matches | | 0 | "not from the cold but from the memory of the last time she’d been followed" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 134 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 23.28 | | std | 22.42 | | cv | 0.963 | | sampleLengths | | 0 | 61 | | 1 | 5 | | 2 | 24 | | 3 | 20 | | 4 | 46 | | 5 | 2 | | 6 | 21 | | 7 | 23 | | 8 | 36 | | 9 | 60 | | 10 | 17 | | 11 | 4 | | 12 | 1 | | 13 | 8 | | 14 | 72 | | 15 | 19 | | 16 | 11 | | 17 | 15 | | 18 | 1 | | 19 | 1 | | 20 | 81 | | 21 | 35 | | 22 | 4 | | 23 | 44 | | 24 | 4 | | 25 | 3 | | 26 | 5 | | 27 | 4 | | 28 | 64 | | 29 | 7 | | 30 | 43 | | 31 | 32 | | 32 | 4 | | 33 | 20 | | 34 | 4 | | 35 | 38 | | 36 | 14 | | 37 | 2 | | 38 | 28 | | 39 | 39 | | 40 | 6 | | 41 | 34 | | 42 | 5 | | 43 | 39 | | 44 | 49 | | 45 | 4 | | 46 | 5 | | 47 | 2 | | 48 | 66 | | 49 | 3 |
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| 88.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 82 | | matches | | 0 | "was replaced" | | 1 | "was made" | | 2 | "were tinted" | | 3 | "been followed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 163 | | matches | | 0 | "was letting" | | 1 | "was believing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 134 | | ratio | 0.007 | | matches | | 0 | "Never let a barrister see you sweat; never let a Frenchman see you care." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 960 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.027083333333333334 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007291666666666667 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 11.64 | | std | 9.64 | | cv | 0.828 | | sampleLengths | | 0 | 29 | | 1 | 32 | | 2 | 5 | | 3 | 16 | | 4 | 5 | | 5 | 3 | | 6 | 15 | | 7 | 5 | | 8 | 18 | | 9 | 19 | | 10 | 9 | | 11 | 2 | | 12 | 12 | | 13 | 9 | | 14 | 23 | | 15 | 34 | | 16 | 2 | | 17 | 3 | | 18 | 28 | | 19 | 29 | | 20 | 9 | | 21 | 6 | | 22 | 2 | | 23 | 4 | | 24 | 1 | | 25 | 8 | | 26 | 18 | | 27 | 15 | | 28 | 14 | | 29 | 25 | | 30 | 19 | | 31 | 11 | | 32 | 15 | | 33 | 1 | | 34 | 1 | | 35 | 6 | | 36 | 4 | | 37 | 6 | | 38 | 19 | | 39 | 20 | | 40 | 7 | | 41 | 19 | | 42 | 11 | | 43 | 24 | | 44 | 4 | | 45 | 38 | | 46 | 6 | | 47 | 4 | | 48 | 3 | | 49 | 5 |
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| 44.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3358208955223881 | | totalSentences | 134 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 41.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 76 | | matches | | 0 | "His heterochromatic gaze swept over" | | 1 | "She blocked the entrance with" | | 2 | "He inclined his head, a" | | 3 | "He leaned against the doorframe," | | 4 | "She could feel the heat" | | 5 | "It was the same scent" | | 6 | "she said, shutting the door" | | 7 | "She pulled out a chair," | | 8 | "It was a deliberate power" | | 9 | "He didn’t ask permission." | | 10 | "He didn’t ask for anything," | | 11 | "He simply assumed the world" | | 12 | "he said, sliding a glass" | | 13 | "He sipped his wine" | | 14 | "She’d told herself it didn’t" | | 15 | "She’d told herself she was" | | 16 | "His voice softened, and for" | | 17 | "It was good wine." | | 18 | "It always was." | | 19 | "She set the glass down." |
| | ratio | 0.447 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 76 | | matches | | 0 | "Lucien Moreau stood in the" | | 1 | "His heterochromatic gaze swept over" | | 2 | "She blocked the entrance with" | | 3 | "The cat yowled its agreement." | | 4 | "He inclined his head, a" | | 5 | "Rory’s scarred wrist throbbed, a" | | 6 | "The other was believing she’d" | | 7 | "He leaned against the doorframe," | | 8 | "Lucien pushed past her with" | | 9 | "Rory’s jaw tightened." | | 10 | "She could feel the heat" | | 11 | "It was the same scent" | | 12 | "she said, shutting the door" | | 13 | "The three deadbolts clicked into" | | 14 | "She pulled out a chair," | | 15 | "It was a deliberate power" | | 16 | "Ptolemy, as if on cue," | | 17 | "Lucien observed, scratching behind the" | | 18 | "Lucien poured two glasses of" | | 19 | "He didn’t ask permission." |
| | ratio | 0.895 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "Even now, standing in a" |
| | ratio | 0.013 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 7 | | matches | | 0 | "His heterochromatic gaze swept over Rory's shoulder, cataloguing the stacks of research notes, the cold mug of tea, and the tabby cat currently judging him from…" | | 1 | "She could feel the heat radiating from him, the faint scent of cedar and something darker, something that whispered of Avaros and shadows that moved on their ow…" | | 2 | "Ptolemy, as if on cue, stretched and sauntered over to Lucien, weaving between his ankles with a traitorous purr." | | 3 | "The half-demon fixer, the man who negotiated with monsters and never lost his cool, was replaced by something raw and tired." | | 4 | "She’d learned that from her mother, the Welsh teacher who could silence a room of rowdy second-year comprehensive students with a single raised eyebrow." | | 5 | "The anger that had been simmering in her chest was boiling now, a dangerous heat that she’d learned to control but never learned to extinguish." | | 6 | "The man who’d left bruises on her arms and scars on her mind." |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "He inclined, a ghost of a smile playing at his lips" | | 1 | "His hand closed around, gentle but firm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien observed (observe)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 74 | | tagDensity | 0.095 | | leniency | 0.189 | | rawRatio | 0.286 | | effectiveRatio | 0.054 | |