| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 83.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1530 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "softly" | | 4 | "completely" |
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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) | |
| 47.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1530 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "traced" | | 1 | "familiar" | | 2 | "methodical" | | 3 | "warmth" | | 4 | "footsteps" | | 5 | "measured" | | 6 | "perfect" | | 7 | "flicked" | | 8 | "weight" | | 9 | "unspoken" | | 10 | "electric" | | 11 | "vibrated" | | 12 | "silence" |
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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 | 182 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 182 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1530 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 9 | | matches | | 0 | "It is a bar, Silas said, pouring two fingers of amber liquid." | | 1 | "I was the most stubborn, Rory corrected." | | 2 | "Rumors are just noise, she said." | | 3 | "You are here now, she said quietly." | | 4 | "I will think about it, she said." | | 5 | "Old ghosts have a habit of tracking you down, he murmured." | | 6 | "I am not, Rory said." | | 7 | "I will stay, she said." | | 8 | "Outside, London breathed, wet and relentless." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1530 | | uniqueNames | 16 | | maxNameDensity | 0.98 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Silas | 6 | | London | 5 | | Cardiff | 2 | | Rory | 15 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Aurora | 2 | | Chancery | 1 | | Lane | 1 | | Tomas | 5 | | You | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Carter" | | 5 | "Tomas" | | 6 | "You" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Yu-Fei" | | 4 | "Chancery" | | 5 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a man who had won exactly wha" | | 1 | "looked like armor" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.654 | | wordCount | 1530 | | matches | | 0 | "not as an anchor, but as ballast" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.5 | | std | 26.45 | | cv | 0.622 | | sampleLengths | | 0 | 101 | | 1 | 62 | | 2 | 70 | | 3 | 13 | | 4 | 37 | | 5 | 38 | | 6 | 71 | | 7 | 52 | | 8 | 16 | | 9 | 74 | | 10 | 13 | | 11 | 4 | | 12 | 71 | | 13 | 41 | | 14 | 48 | | 15 | 20 | | 16 | 47 | | 17 | 28 | | 18 | 85 | | 19 | 56 | | 20 | 14 | | 21 | 30 | | 22 | 72 | | 23 | 84 | | 24 | 11 | | 25 | 57 | | 26 | 16 | | 27 | 21 | | 28 | 3 | | 29 | 34 | | 30 | 44 | | 31 | 21 | | 32 | 40 | | 33 | 47 | | 34 | 5 | | 35 | 84 |
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| 97.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 182 | | matches | | 0 | "was gone" | | 1 | "been promised" | | 2 | "was relieved" | | 3 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 292 | | matches | | 0 | "were hauling" | | 1 | "was always waiting" | | 2 | "was running" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 182 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1539 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.03508771929824561 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.011046133853151396 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 8.41 | | std | 6.27 | | cv | 0.746 | | sampleLengths | | 0 | 19 | | 1 | 13 | | 2 | 34 | | 3 | 25 | | 4 | 5 | | 5 | 5 | | 6 | 7 | | 7 | 18 | | 8 | 9 | | 9 | 14 | | 10 | 10 | | 11 | 4 | | 12 | 12 | | 13 | 8 | | 14 | 35 | | 15 | 6 | | 16 | 9 | | 17 | 1 | | 18 | 7 | | 19 | 4 | | 20 | 1 | | 21 | 5 | | 22 | 9 | | 23 | 1 | | 24 | 14 | | 25 | 8 | | 26 | 3 | | 27 | 2 | | 28 | 10 | | 29 | 5 | | 30 | 2 | | 31 | 6 | | 32 | 3 | | 33 | 7 | | 34 | 9 | | 35 | 5 | | 36 | 1 | | 37 | 10 | | 38 | 19 | | 39 | 7 | | 40 | 20 | | 41 | 17 | | 42 | 23 | | 43 | 1 | | 44 | 11 | | 45 | 1 | | 46 | 1 | | 47 | 5 | | 48 | 5 | | 49 | 4 |
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| 50.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.34065934065934067 | | totalSentences | 182 | | uniqueOpeners | 62 | |
| 60.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 164 | | matches | | 0 | "Dark, watchful, currently widening as" | | 1 | "Just vanished, really." | | 2 | "Usually just to see if" |
| | ratio | 0.018 | |
| 15.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 84 | | totalSentences | 164 | | matches | | 0 | "He polished a tumbler with" | | 1 | "They demanded nothing of her." | | 2 | "She lifted her head." | | 3 | "He stood just inside the" | | 4 | "His voice cracked on the" | | 5 | "He cleared his throat." | | 6 | "She set her glass down." | | 7 | "I did not know you" | | 8 | "He stepped closer, shedding his" | | 9 | "His movements were careful, rehearsed." | | 10 | "It was a practiced discipline" | | 11 | "She watched him settle onto" | | 12 | "He looked like a man" | | 13 | "His hazel eyes flicked between" | | 14 | "he asked, his voice a" | | 15 | "You must be the proprietor." | | 16 | "It is a bar, Silas" | | 17 | "He slid the glass across" | | 18 | "He caught Rory’s eye, a" | | 19 | "She gave a micro-shake of" |
| | ratio | 0.512 | |
| 57.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 164 | | matches | | 0 | "The green neon of the" | | 1 | "Rory traced the rim of" | | 2 | "Downstairs, the bar hummed with" | | 3 | "He polished a tumbler with" | | 4 | "Rory liked the quiet hours." | | 5 | "They demanded nothing of her." | | 6 | "The brass bell above the" | | 7 | "A draft of damp London" | | 8 | "Rory did not look up" | | 9 | "A measured, familiar cadence that" | | 10 | "She lifted her head." | | 11 | "He stood just inside the" | | 12 | "The soft-jawed boy who used" | | 13 | "His voice cracked on the" | | 14 | "He cleared his throat." | | 15 | "She set her glass down." | | 16 | "The condensation left a perfect" | | 17 | "The name felt foreign on" | | 18 | "I did not know you" | | 19 | "He stepped closer, shedding his" |
| | ratio | 0.805 | |
| 30.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 164 | | matches | | | ratio | 0.006 | |
| 84.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 5 | | matches | | 0 | "The soft-jawed boy who used to share highlighters and case briefs in the Cardiff university library was gone, replaced by a man in a tailored suit, his posture …" | | 1 | "he asked, his voice a low gravel that brooked no argument." | | 2 | "The neon sign buzzed, a persistent electric hum that vibrated in the floorboards." | | 3 | "He hesitated, then reached out, his fingers brushing the edge of the bar before pulling back." | | 4 | "She looked past him, toward the bookshelf that hid the narrow door to the hidden room." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |