| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 56 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.071 | | effectiveRatio | 0.036 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1740 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 68.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1740 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "unsettled" | | 1 | "measured" | | 2 | "mechanical" | | 3 | "mosaic" | | 4 | "weight" | | 5 | "silence" | | 6 | "pulse" | | 7 | "familiar" | | 8 | "charged" |
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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 | 106 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1754 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1308 | | uniqueNames | 19 | | maxNameDensity | 0.54 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Tuesday | 1 | | Eva | 3 | | Ptolemy | 6 | | Lesser | 1 | | Key | 1 | | Solomon | 1 | | English | 1 | | East | 1 | | End | 1 | | Rory | 7 | | Lucien | 5 | | Hospitality | 1 | | Sumerian | 1 | | Silence | 1 | | Evan | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Solomon" | | 4 | "English" | | 5 | "Rory" | | 6 | "Lucien" | | 7 | "Evan" | | 8 | "Yu-Fei" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like gifts exchanged" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.57 | | wordCount | 1754 | | matches | | 0 | "not everything, but enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 148 | | matches | | 0 | "chose that moment" | | 1 | "understood that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 22.2 | | std | 21.85 | | cv | 0.984 | | sampleLengths | | 0 | 66 | | 1 | 5 | | 2 | 77 | | 3 | 1 | | 4 | 33 | | 5 | 2 | | 6 | 11 | | 7 | 5 | | 8 | 12 | | 9 | 68 | | 10 | 9 | | 11 | 9 | | 12 | 7 | | 13 | 3 | | 14 | 17 | | 15 | 19 | | 16 | 19 | | 17 | 9 | | 18 | 80 | | 19 | 5 | | 20 | 2 | | 21 | 3 | | 22 | 4 | | 23 | 15 | | 24 | 38 | | 25 | 40 | | 26 | 3 | | 27 | 86 | | 28 | 16 | | 29 | 3 | | 30 | 10 | | 31 | 64 | | 32 | 58 | | 33 | 5 | | 34 | 7 | | 35 | 5 | | 36 | 2 | | 37 | 17 | | 38 | 40 | | 39 | 5 | | 40 | 23 | | 41 | 7 | | 42 | 37 | | 43 | 29 | | 44 | 6 | | 45 | 1 | | 46 | 10 | | 47 | 48 | | 48 | 24 | | 49 | 20 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 106 | | matches | | 0 | "being leaned" | | 1 | "been cleaned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 224 | | matches | | 0 | "were looking" | | 1 | "was watching" | | 2 | "was already drying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 148 | | ratio | 0.068 | | matches | | 0 | "His cane caught the frame — not shoved, just placed, the handle resting against the wood with a kind of surgical precision that made her teeth ache." | | 1 | "His black eye — the one that unsettled people who didn't know what they were looking at, and terrified people who did — shifted past her into the flat." | | 2 | "Four languages at his disposal and he wielded English like a scalpel — no wasted syllables, no heat, every word placed exactly where it would land hardest." | | 3 | "He entered the way he entered every room — an inventory first, threats second, exits third." | | 4 | "She moved into the kitchen, which was less a room than a theory — a strip of counter, a two-burner hob, and a kettle whose cord she had to drape over a stack of Eva's Sumerian translation notes." | | 5 | "Her reflection stared back — black hair flat against her neck, blue eyes bruised underneath from the kind of sleep that technically counted but offered nothing." | | 6 | "From below, someone in the curry house laughed — a big, rolling belly laugh that felt obscene in the taut air of the flat." | | 7 | "She'd told him about Evan — not everything, but enough — during a late night in the back office of the Golden Empress while Yu-Fei pretended not to listen from behind the bead curtain." | | 8 | "She watched the steam curl between his mismatched eyes and hated how familiar the geometry of his face still was — the sharp line of his nose, the way his platinum hair was already drying in pieces that fell across his forehead, abandoning the careful slick-back." | | 9 | "The space between them had changed — still charged, still fraught, but the walls she'd built had a door in them now and she'd left it unlocked." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1302 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.02534562211981567 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005376344086021506 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 11.85 | | std | 10.71 | | cv | 0.904 | | sampleLengths | | 0 | 4 | | 1 | 3 | | 2 | 59 | | 3 | 5 | | 4 | 47 | | 5 | 12 | | 6 | 18 | | 7 | 1 | | 8 | 6 | | 9 | 27 | | 10 | 2 | | 11 | 11 | | 12 | 5 | | 13 | 12 | | 14 | 29 | | 15 | 39 | | 16 | 6 | | 17 | 3 | | 18 | 9 | | 19 | 7 | | 20 | 3 | | 21 | 17 | | 22 | 7 | | 23 | 12 | | 24 | 19 | | 25 | 9 | | 26 | 9 | | 27 | 1 | | 28 | 1 | | 29 | 27 | | 30 | 32 | | 31 | 4 | | 32 | 6 | | 33 | 5 | | 34 | 2 | | 35 | 3 | | 36 | 4 | | 37 | 15 | | 38 | 6 | | 39 | 3 | | 40 | 15 | | 41 | 14 | | 42 | 22 | | 43 | 6 | | 44 | 12 | | 45 | 3 | | 46 | 16 | | 47 | 22 | | 48 | 5 | | 49 | 10 |
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| 57.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.36486486486486486 | | totalSentences | 148 | | uniqueOpeners | 54 | |
| 36.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 91 | | matches | | 0 | "Just the raw, strange face" |
| | ratio | 0.011 | |
| 22.20% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 91 | | matches | | 0 | "It always stuck." | | 1 | "She pulled the door open." | | 2 | "She moved to close the" | | 3 | "His cane caught the frame" | | 4 | "His black eye — the" | | 5 | "She watched him catalogue the" | | 6 | "She hated the way he" | | 7 | "She'd watched him do it" | | 8 | "She recognized the technique." | | 9 | "She was not immune to" | | 10 | "She stepped back." | | 11 | "He entered the way he" | | 12 | "She'd asked him about it" | | 13 | "My father's people don't sit" | | 14 | "She'd filed it away alongside" | | 15 | "Her mother's daughter." | | 16 | "She moved into the kitchen," | | 17 | "She watched it run in" | | 18 | "Her reflection stared back —" | | 19 | "Her hand stopped on the" |
| | ratio | 0.495 | |
| 20.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 91 | | matches | | 0 | "The third deadbolt stuck." | | 1 | "It always stuck." | | 2 | "Rory had to lean her" | | 3 | "She pulled the door open." | | 4 | "Lucien Moreau stood on the" | | 5 | "The smell of cardamom and" | | 6 | "A bead of water tracked" | | 7 | "She moved to close the" | | 8 | "His cane caught the frame" | | 9 | "His black eye — the" | | 10 | "She watched him catalogue the" | | 11 | "Rory's grip tightened on the" | | 12 | "The crescent scar on her" | | 13 | "She hated the way he" | | 14 | "She'd watched him do it" | | 15 | "She recognized the technique." | | 16 | "She was not immune to" | | 17 | "The corner of his mouth" | | 18 | "The suggestion of one, offered" | | 19 | "Ptolemy chose that moment to" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 12 | | matches | | 0 | "Rory had to lean her shoulder into the door and twist the key at an angle that would have made a locksmith weep, and by the time the mechanism finally gave with…" | | 1 | "His cane caught the frame — not shoved, just placed, the handle resting against the wood with a kind of surgical precision that made her teeth ache." | | 2 | "His black eye — the one that unsettled people who didn't know what they were looking at, and terrified people who did — shifted past her into the flat." | | 3 | "She moved into the kitchen, which was less a room than a theory — a strip of counter, a two-burner hob, and a kettle whose cord she had to drape over a stack of…" | | 4 | "She watched it run in sheets down glass that hadn't been cleaned since Eva left, turning the streetlights below into smears of sodium orange." | | 5 | "When she turned around, he was watching her with both eyes and for once they carried the same expression, which was worse than when they didn't." | | 6 | "She folded her arms and leaned against the counter's edge, ignoring the scroll that crinkled beneath her elbow." | | 7 | "From below, someone in the curry house laughed — a big, rolling belly laugh that felt obscene in the taut air of the flat." | | 8 | "She set his down on a treatise about ley line convergence and sat across from him, displacing Ptolemy, who dropped to the floor with the theatrical thud of a cr…" | | 9 | "She watched the steam curl between his mismatched eyes and hated how familiar the geometry of his face still was — the sharp line of his nose, the way his plati…" | | 10 | "Just the raw, strange face of a man who was half of something he'd never asked to be, asking for something he knew he hadn't earned." | | 11 | "Ptolemy wound around the table legs in a figure eight, indifferent to the weight of anything that wasn't his next meal." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "he said again, quieter" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |