| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "She glanced around [around]" |
| | dialogueSentences | 61 | | tagDensity | 0.131 | | leniency | 0.262 | | rawRatio | 0.125 | | effectiveRatio | 0.033 | |
| 92.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1363 | | totalAiIsmAdverbs | 2 | | 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) | |
| 66.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1363 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "practiced ease" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "flicked" | | 1 | "scanning" | | 2 | "systematic" | | 3 | "warmth" | | 4 | "practiced ease" | | 5 | "tracing" | | 6 | "flickered" | | 7 | "silence" | | 8 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 87 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1363 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "A childhood accident, she told people." |
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| 32.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 936 | | uniqueNames | 18 | | maxNameDensity | 2.35 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | London | 2 | | Belgian | 1 | | Friday | 1 | | Tuesday | 1 | | Aurora | 1 | | Carter | 2 | | Cold | 1 | | War | 1 | | Berlin | 1 | | Bethan | 17 | | Canary | 1 | | Wharf | 1 | | Ellis | 1 | | Friend | 1 | | Evan | 1 | | Sinatra | 1 | | Silas | 4 |
| | persons | | 0 | "Rory" | | 1 | "Carter" | | 2 | "Bethan" | | 3 | "Ellis" | | 4 | "Evan" | | 5 | "Sinatra" | | 6 | "Silas" |
| | places | | 0 | "London" | | 1 | "Berlin" | | 2 | "Canary" |
| | globalScore | 0.325 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like the girl Rory remembered: unc" |
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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 | 1363 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 17.93 | | std | 18.1 | | cv | 1.009 | | sampleLengths | | 0 | 61 | | 1 | 10 | | 2 | 16 | | 3 | 40 | | 4 | 57 | | 5 | 60 | | 6 | 6 | | 7 | 4 | | 8 | 34 | | 9 | 18 | | 10 | 2 | | 11 | 34 | | 12 | 1 | | 13 | 4 | | 14 | 2 | | 15 | 52 | | 16 | 2 | | 17 | 17 | | 18 | 2 | | 19 | 34 | | 20 | 7 | | 21 | 3 | | 22 | 3 | | 23 | 2 | | 24 | 71 | | 25 | 4 | | 26 | 35 | | 27 | 33 | | 28 | 5 | | 29 | 4 | | 30 | 3 | | 31 | 21 | | 32 | 6 | | 33 | 2 | | 34 | 1 | | 35 | 25 | | 36 | 47 | | 37 | 2 | | 38 | 3 | | 39 | 2 | | 40 | 14 | | 41 | 45 | | 42 | 61 | | 43 | 6 | | 44 | 5 | | 45 | 52 | | 46 | 6 | | 47 | 8 | | 48 | 8 | | 49 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 945 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.030687830687830688 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007407407407407408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 9.74 | | std | 9.04 | | cv | 0.929 | | sampleLengths | | 0 | 7 | | 1 | 18 | | 2 | 36 | | 3 | 10 | | 4 | 16 | | 5 | 10 | | 6 | 30 | | 7 | 11 | | 8 | 33 | | 9 | 6 | | 10 | 7 | | 11 | 14 | | 12 | 25 | | 13 | 21 | | 14 | 6 | | 15 | 1 | | 16 | 3 | | 17 | 27 | | 18 | 5 | | 19 | 2 | | 20 | 5 | | 21 | 13 | | 22 | 2 | | 23 | 6 | | 24 | 2 | | 25 | 2 | | 26 | 15 | | 27 | 1 | | 28 | 8 | | 29 | 1 | | 30 | 4 | | 31 | 2 | | 32 | 8 | | 33 | 41 | | 34 | 3 | | 35 | 2 | | 36 | 3 | | 37 | 14 | | 38 | 2 | | 39 | 5 | | 40 | 29 | | 41 | 7 | | 42 | 3 | | 43 | 3 | | 44 | 2 | | 45 | 3 | | 46 | 37 | | 47 | 10 | | 48 | 5 | | 49 | 16 |
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| 54.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.37142857142857144 | | totalSentences | 140 | | uniqueOpeners | 52 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Probably made partner before thirty." | | 1 | "Probably had a flat in" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 75 | | matches | | 0 | "She'd finished her deliveries an" | | 1 | "He moved down the bar" | | 2 | "She thought about the last" | | 3 | "You just learned to roll" | | 4 | "It couldn't be." | | 5 | "It landed on the bar." | | 6 | "She glanced around at the" | | 7 | "It was true." | | 8 | "She'd probably completed her training" | | 9 | "He caught Rory's eye as" | | 10 | "Her hand hovered over the" | | 11 | "They sat in silence." |
| | ratio | 0.16 | |
| 6.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 75 | | matches | | 0 | "The pint glass sweated against" | | 1 | "She'd finished her deliveries an" | | 2 | "Silas had left her a" | | 3 | "Silas's laugh disappeared into the" | | 4 | "He moved down the bar" | | 5 | "Rory turned the glass, watching" | | 6 | "She thought about the last" | | 7 | "The city never stopped throwing" | | 8 | "You just learned to roll" | | 9 | "The door opened and brought" | | 10 | "Rory's gaze flicked up out" | | 11 | "The woman paused just inside" | | 12 | "Rory's hand tightened around the" | | 13 | "It couldn't be." | | 14 | "The woman's gaze swept past" | | 15 | "It landed on the bar." | | 16 | "Something shifted in her expression." | | 17 | "Recognition, surprise, and then a" | | 18 | "The name landed like a" | | 19 | "The name only someone from" |
| | ratio | 0.907 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Before the bruises she'd learned" |
| | ratio | 0.013 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 8 | | matches | | 0 | "Rory's gaze flicked up out of habit, cataloguing the newcomer: tall, blonde, wearing a charcoal blazer that cost more than a month of her rent." | | 1 | "The woman's gaze swept past the tourists, past the young couple arguing in the corner, past the old soak who'd been nursing the same whiskey since Tuesday." | | 2 | "Bethan looked exactly as Rory remembered: the same sharp cheekbones, the same ice-blonde hair she'd spent hours straightening in their university halls, the sam…" | | 3 | "Jennifer Carter, née Ellis, who taught primary school and kept a tidy house and never understood why her daughter flinched when a man raised his voice." | | 4 | "Silas appeared, setting a coaster in front of Bethan with the practiced ease of a man who'd spent decades reading rooms." | | 5 | "Rory watched the screen without seeing it, her thumb tracing the crescent scar on her left wrist." | | 6 | "For a moment, she looked like the girl Rory remembered: uncertain, young, desperate to understand something that didn't make sense." | | 7 | "This close, she could see the faint lines at the corners of Bethan's eyes, the slight crease between her brows that hadn't been there at university." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |