| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "He gestured around [around]" | | 1 | "She glanced around [around]" | | 2 | "she said suddenly [suddenly]" |
| | dialogueSentences | 51 | | tagDensity | 0.431 | | leniency | 0.863 | | rawRatio | 0.136 | | effectiveRatio | 0.118 | |
| 74.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1159 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "very" | | 3 | "suddenly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 22.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1159 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "navigating" | | 1 | "gloom" | | 2 | "weight" | | 3 | "eyebrow" | | 4 | "lilt" | | 5 | "familiar" | | 6 | "constructed" | | 7 | "normalcy" | | 8 | "comfortable" | | 9 | "flicker" | | 10 | "complex" | | 11 | "warmth" | | 12 | "chill" | | 13 | "stomach" | | 14 | "echoing" | | 15 | "grave" | | 16 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 91 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1160 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 849 | | uniqueNames | 17 | | maxNameDensity | 0.59 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Cardiff | 2 | | Alistair | 1 | | Finch | 1 | | Ali | 1 | | Fifteen | 2 | | London | 1 | | Laila | 3 | | Ellis | 1 | | Rory | 1 | | Carter | 1 | | Silas | 5 | | Blackwood | 1 | | Didn | 1 | | Malphora | 3 | | Nightingale | 1 |
| | persons | | 0 | "Raven" | | 1 | "Alistair" | | 2 | "Finch" | | 3 | "Ali" | | 4 | "Laila" | | 5 | "Ellis" | | 6 | "Rory" | | 7 | "Carter" | | 8 | "Silas" | | 9 | "Blackwood" | | 10 | "Malphora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "quite reach her bright blue eyes" |
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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 | 1160 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 118 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 26.36 | | std | 16.57 | | cv | 0.629 | | sampleLengths | | 0 | 47 | | 1 | 1 | | 2 | 51 | | 3 | 4 | | 4 | 24 | | 5 | 29 | | 6 | 76 | | 7 | 22 | | 8 | 4 | | 9 | 16 | | 10 | 8 | | 11 | 56 | | 12 | 59 | | 13 | 32 | | 14 | 35 | | 15 | 36 | | 16 | 26 | | 17 | 8 | | 18 | 20 | | 19 | 45 | | 20 | 14 | | 21 | 30 | | 22 | 30 | | 23 | 56 | | 24 | 13 | | 25 | 24 | | 26 | 11 | | 27 | 11 | | 28 | 31 | | 29 | 32 | | 30 | 19 | | 31 | 21 | | 32 | 24 | | 33 | 13 | | 34 | 25 | | 35 | 12 | | 36 | 30 | | 37 | 4 | | 38 | 18 | | 39 | 26 | | 40 | 52 | | 41 | 17 | | 42 | 21 | | 43 | 27 |
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| 89.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 91 | | matches | | 0 | "were delivered" | | 1 | "was shrouded" | | 2 | "was perched" | | 3 | "been entrusted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 154 | | matches | | |
| 46.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 118 | | ratio | 0.034 | | matches | | 0 | "He’d actively avoided thinking about Laila Ellis – Rory Carter – for years." | | 1 | "A flicker of something – amusement?" | | 2 | "– crossed her face." | | 3 | "He'd learned long ago that probing Laila – Malphora – was like poking a sleeping dragon." |
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| 98.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 848 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03891509433962264 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.02240566037735849 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 9.83 | | std | 6.74 | | cv | 0.686 | | sampleLengths | | 0 | 28 | | 1 | 3 | | 2 | 16 | | 3 | 1 | | 4 | 14 | | 5 | 4 | | 6 | 3 | | 7 | 11 | | 8 | 19 | | 9 | 4 | | 10 | 9 | | 11 | 9 | | 12 | 2 | | 13 | 4 | | 14 | 6 | | 15 | 15 | | 16 | 8 | | 17 | 17 | | 18 | 9 | | 19 | 9 | | 20 | 10 | | 21 | 25 | | 22 | 6 | | 23 | 11 | | 24 | 11 | | 25 | 4 | | 26 | 9 | | 27 | 6 | | 28 | 1 | | 29 | 8 | | 30 | 8 | | 31 | 6 | | 32 | 7 | | 33 | 13 | | 34 | 3 | | 35 | 1 | | 36 | 18 | | 37 | 11 | | 38 | 11 | | 39 | 17 | | 40 | 13 | | 41 | 4 | | 42 | 3 | | 43 | 2 | | 44 | 22 | | 45 | 8 | | 46 | 6 | | 47 | 4 | | 48 | 20 | | 49 | 5 |
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| 52.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.423728813559322 | | totalSentences | 118 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 83 | | matches | | 0 | "He didn’t notice." | | 1 | "He was staring, a dumbfounded" | | 2 | "She hadn't turned immediately." | | 3 | "He swallowed, the movement pronounced" | | 4 | "He tried the childhood nickname," | | 5 | "She raised a single, elegant" | | 6 | "He hadn’t heard it spoken" | | 7 | "He fumbled with the collar" | | 8 | "She took a slow sip" | | 9 | "It wasn't a compliment." | | 10 | "he defended, gesturing vaguely at" | | 11 | "It had definitely expanded since" | | 12 | "He felt a flush creep" | | 13 | "He shouldn’t be arguing with" | | 14 | "He shouldn't even *be* talking" | | 15 | "He’d actively avoided thinking about" | | 16 | "He stammered over the names," | | 17 | "She set her glass down" | | 18 | "She wore a black dress," | | 19 | "He gestured around the dimly" |
| | ratio | 0.627 | |
| 20.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 83 | | matches | | 0 | "A chipped ceramic ashtray skittered" | | 1 | "He didn’t notice." | | 2 | "He was staring, a dumbfounded" | | 3 | "The question hung, thick and" | | 4 | "She hadn't turned immediately." | | 5 | "The polished silver of a" | | 6 | "He swallowed, the movement pronounced" | | 7 | "He tried the childhood nickname," | | 8 | "She raised a single, elegant" | | 9 | "The voice was lower than" | | 10 | "The use of his full" | | 11 | "He hadn’t heard it spoken" | | 12 | "He fumbled with the collar" | | 13 | "A depressing understatement" | | 14 | "She took a slow sip" | | 15 | "It wasn't a compliment." | | 16 | "he defended, gesturing vaguely at" | | 17 | "It had definitely expanded since" | | 18 | "He felt a flush creep" | | 19 | "He shouldn’t be arguing with" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "A chipped ceramic ashtray skittered across the scarred mahogany, propelled by the elbow of a man who’d clearly been navigating the evening with considerably mor…" | | 1 | "A haven for ex-spies, dodgy businessmen, and anyone who needed a discreet meeting place." | | 2 | "The bartender, a burly man with a shaved head and an expression that suggested he’d seen too much, placed a glass of amber liquid in front of him." | | 3 | "He looked at Silas, who was perched on a stool at the far end of the bar, observing them with unnerving stillness." |
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| 11.36% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 5 | | matches | | 0 | "He gestured around, maps detailing long-forgotten trade routes plastered on the walls" | | 1 | "He gestured, half expecting her to laugh" | | 2 | "he repeated, the words sounding hollow even to his own ears" | | 3 | "she said suddenly, her voice softer now, almost hesitant" | | 4 | "She leaned, her voice a low murmur" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "He stammered (stammer)" | | 1 | "he repeated (repeat)" | | 2 | "he lied (lie)" |
| | dialogueSentences | 51 | | tagDensity | 0.098 | | leniency | 0.196 | | rawRatio | 0.6 | | effectiveRatio | 0.118 | |