| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 994 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 44.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 994 | | totalAiIsms | 11 | | found | | 0 | | word | "calloused fingers" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "calloused fingers" | | 1 | "familiar" | | 2 | "weight" | | 3 | "facade" | | 4 | "wavered" | | 5 | "silence" | | 6 | "coded" | | 7 | "tracing" | | 8 | "traced" | | 9 | "glinting" |
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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 | 0 | | narrationSentences | 36 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 36 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 49 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 975 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 710 | | uniqueNames | 19 | | maxNameDensity | 0.99 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Cardiff | 2 | | Raven | 2 | | Nest | 2 | | Golden | 1 | | Empress | 1 | | Silas | 7 | | Rory | 6 | | Evan | 3 | | London | 3 | | Eva | 3 | | Le | 1 | | Carré | 1 | | Tinker | 1 | | Tailor | 1 | | Soldier | 1 | | Spy | 1 | | Prague | 2 | | Charles | 1 | | Bridge | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Eva" | | 6 | "Carré" |
| | places | | 0 | "Cardiff" | | 1 | "Golden" | | 2 | "London" | | 3 | "Prague" | | 4 | "Charles" | | 5 | "Bridge" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 975 | | matches | (empty) | |
| 30.61% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 49 | | matches | | 0 | "proof that her" | | 1 | "signal that a" |
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| 49.97% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 81.25 | | std | 26.4 | | cv | 0.325 | | sampleLengths | | 0 | 48 | | 1 | 95 | | 2 | 87 | | 3 | 92 | | 4 | 127 | | 5 | 86 | | 6 | 89 | | 7 | 69 | | 8 | 78 | | 9 | 24 | | 10 | 66 | | 11 | 114 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 36 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 49 | | ratio | 0.163 | | matches | | 0 | "The crescent scar on her skin pressed into his palm—familiar, a mark he’d noted in a Cardiff police report ten years prior, when she’d fallen through a garden fence chasing a stray cat." | | 1 | "Stale beer and fried spring onion fumes curled into her nostrils; she’d brought back leftover pork dumplings from the Golden Empress, but her appetite vanished." | | 2 | "She tugged her wrist free, her straight black hair swinging into her bright blue eyes, and reached for the staircase rail—only to pause when Silas shifted his weight, a faint wince tightening his neatly trimmed grey-streaked auburn beard." | | 3 | "She’d considered selling it to pay her flat rent, but had stuffed it into her wallet instead—proof that her father’s rigid view of the law had cracked, if only for a moment." | | 4 | "The back room’s air hit Rory first—old paper and cherry pipe tobacco, sharp enough to make her blink." | | 5 | "She’d asked Silas about her once, but he’d claimed he’d never seen her—now she wondered if he’d been lying to protect her." | | 6 | "He reached for a hidden drawer in the table, his fingers hovering over the handle—when a sharp knock sounded on the secret room’s door." | | 7 | "The bar’s front door bell rang again, but this time there was no slurred request—only silence." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 461 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.015184381778741865 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0021691973969631237 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 49 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 49 | | mean | 19.9 | | std | 12.8 | | cv | 0.643 | | sampleLengths | | 0 | 15 | | 1 | 33 | | 2 | 18 | | 3 | 25 | | 4 | 38 | | 5 | 14 | | 6 | 3 | | 7 | 2 | | 8 | 28 | | 9 | 7 | | 10 | 18 | | 11 | 29 | | 12 | 3 | | 13 | 26 | | 14 | 32 | | 15 | 31 | | 16 | 23 | | 17 | 18 | | 18 | 18 | | 19 | 28 | | 20 | 20 | | 21 | 20 | | 22 | 23 | | 23 | 63 | | 24 | 4 | | 25 | 26 | | 26 | 33 | | 27 | 26 | | 28 | 6 | | 29 | 63 | | 30 | 11 | | 31 | 22 | | 32 | 22 | | 33 | 23 | | 34 | 4 | | 35 | 5 | | 36 | 15 | | 37 | 4 | | 38 | 24 | | 39 | 8 | | 40 | 16 | | 41 | 14 | | 42 | 2 | | 43 | 16 | | 44 | 18 | | 45 | 22 | | 46 | 18 | | 47 | 16 | | 48 | 22 |
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| 53.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.40816326530612246 | | totalSentences | 49 | | uniqueOpeners | 20 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 35 | | matches | | | ratio | 0.029 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 35 | | matches | | 0 | "She tugged her wrist free," | | 1 | "His left leg dragged slightly," | | 2 | "He tapped the band on" | | 3 | "She’d found the ring in" | | 4 | "She’d considered selling it to" | | 5 | "She’d resented him for pushing" | | 6 | "She’d never known her father" | | 7 | "She’d spent months resenting him" | | 8 | "She pulled the silver signet" | | 9 | "She’d asked Silas about her" | | 10 | "She’d found a crumpled note" | | 11 | "He reached for a hidden" | | 12 | "She’d thought her past in" | | 13 | "She grabbed a heavy brass" |
| | ratio | 0.4 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 35 | | matches | | 0 | "The crescent scar on her" | | 1 | "Rory tensed, her delivery bag" | | 2 | "She tugged her wrist free," | | 3 | "His left leg dragged slightly," | | 4 | "He tapped the band on" | | 5 | "Rory’s jaw tightened." | | 6 | "She’d found the ring in" | | 7 | "She’d considered selling it to" | | 8 | "She’d resented him for pushing" | | 9 | "Silas nodded at a bookshelf" | | 10 | "The back room’s air hit" | | 11 | "A large map of Prague" | | 12 | "Silas led her inside, his" | | 13 | "The tinkle of the bar’s" | | 14 | "Silas said, his voice quieter" | | 15 | "Rory’s cool-headed facade wavered." | | 16 | "She’d never known her father" | | 17 | "She’d spent months resenting him" | | 18 | "She pulled the silver signet" | | 19 | "The tick-tock of a vintage" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "He tapped, the metal catching the dim bar light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |