| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 1 | | adverbTags | | 0 | "He turned fully [fully]" |
| | dialogueSentences | 54 | | tagDensity | 0.463 | | leniency | 0.926 | | rawRatio | 0.04 | | effectiveRatio | 0.037 | |
| 89.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2491 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "gently" | | 3 | "carefully" | | 4 | "completely" |
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| 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) | |
| 75.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2491 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "measured" | | 1 | "weight" | | 2 | "flickered" | | 3 | "silence" | | 4 | "coded" | | 5 | "charm" | | 6 | "could feel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 137 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 137 | | filterMatches | (empty) | | hedgeMatches | | 0 | "managed to" | | 1 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 99 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2506 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1547 | | uniqueNames | 25 | | maxNameDensity | 0.78 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Brick | 2 | | Lane | 3 | | Lucien | 7 | | Moreau | 1 | | French | 2 | | English | 1 | | Heat | 1 | | Ptolemy | 5 | | Pret | 2 | | Chancery | 1 | | Rain | 2 | | Curtains | 1 | | Punjabi | 1 | | London | 2 | | Quiet | 2 | | Steam | 1 | | Placed | 1 | | Golden | 1 | | Empress | 1 | | Marseille | 2 | | Eva | 4 | | Honest | 1 | | Avaros | 2 | | European | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Heat" | | 4 | "Ptolemy" | | 5 | "Rain" | | 6 | "Empress" | | 7 | "Eva" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Pret" | | 3 | "Chancery" | | 4 | "Curtains" | | 5 | "London" | | 6 | "Golden" | | 7 | "Marseille" | | 8 | "Avaros" |
| | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "felt like surrender of a different kind" |
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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 | 2506 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 43.96 | | std | 27.63 | | cv | 0.628 | | sampleLengths | | 0 | 40 | | 1 | 66 | | 2 | 34 | | 3 | 1 | | 4 | 27 | | 5 | 14 | | 6 | 31 | | 7 | 16 | | 8 | 44 | | 9 | 104 | | 10 | 17 | | 11 | 56 | | 12 | 6 | | 13 | 57 | | 14 | 96 | | 15 | 4 | | 16 | 45 | | 17 | 21 | | 18 | 23 | | 19 | 62 | | 20 | 10 | | 21 | 65 | | 22 | 71 | | 23 | 24 | | 24 | 87 | | 25 | 47 | | 26 | 41 | | 27 | 18 | | 28 | 60 | | 29 | 19 | | 30 | 102 | | 31 | 28 | | 32 | 14 | | 33 | 59 | | 34 | 16 | | 35 | 44 | | 36 | 90 | | 37 | 104 | | 38 | 39 | | 39 | 31 | | 40 | 2 | | 41 | 27 | | 42 | 64 | | 43 | 75 | | 44 | 52 | | 45 | 47 | | 46 | 54 | | 47 | 72 | | 48 | 36 | | 49 | 63 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 263 | | matches | | 0 | "was beginning" | | 1 | "was already considering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 163 | | ratio | 0.061 | | matches | | 0 | "“You, as it happens.” The corner of his mouth twitched — not quite a smile." | | 1 | "“It is not about money.” He glanced past her into the flat’s cramped chaos — stacks of library books, curling scrolls, a mug abandoned on a tower of folders, the tabby Ptolemy draped like a stole across the back of the sofa." | | 2 | "She moved into the kitchenette — three feet of scarred counter, a hotplate, a sink that groaned — and filled the kettle because doing something with her hands was safer than watching the line of his shoulders at her best friend’s window." | | 3 | "Behind her, leather creaked as he sat — she knew the sound of him taking a chair." | | 4 | "Rory poured two mugs — builders’ tea; Eva’s cupboard never ran to Lavazza — and carried them out." | | 5 | "She sat opposite him — on the edge of the sofa, not sunk into it, ready." | | 6 | "Rory felt the whole of their history tighten into a single stretched thread: the almosts, the argument near that Pret wall when she had told him she would not be a secret and he had told her the secret was the only thing keeping her breathing; the attraction that had never pretended to be sensible; the hurt that had filled every empty chair afterward." | | 7 | "“I believe you.” He covered her hand with his own — cool fingers, careful weight — and something in the contact ran up her arm like a struck match." | | 8 | "He lifted their joined hands just enough to press his mouth to the back of her knuckles — formal, European, and completely blonde-ridiculous — and the heat of it was anything but formal." | | 9 | "Rory let her hand slip free only so she could lock the three deadbolts again — snap, snap, snap — sealing the wet London night and whoever hunted beyond it on the outside of Eva’s cramped, book-choked flat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1191 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.03442485306465155 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008396305625524769 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 15.37 | | std | 17.67 | | cv | 1.149 | | sampleLengths | | 0 | 32 | | 1 | 3 | | 2 | 5 | | 3 | 36 | | 4 | 5 | | 5 | 25 | | 6 | 7 | | 7 | 10 | | 8 | 7 | | 9 | 10 | | 10 | 1 | | 11 | 8 | | 12 | 13 | | 13 | 6 | | 14 | 10 | | 15 | 4 | | 16 | 15 | | 17 | 16 | | 18 | 6 | | 19 | 5 | | 20 | 5 | | 21 | 42 | | 22 | 2 | | 23 | 5 | | 24 | 66 | | 25 | 1 | | 26 | 10 | | 27 | 9 | | 28 | 6 | | 29 | 7 | | 30 | 3 | | 31 | 4 | | 32 | 10 | | 33 | 14 | | 34 | 32 | | 35 | 9 | | 36 | 1 | | 37 | 6 | | 38 | 22 | | 39 | 25 | | 40 | 2 | | 41 | 2 | | 42 | 6 | | 43 | 7 | | 44 | 13 | | 45 | 66 | | 46 | 10 | | 47 | 4 | | 48 | 16 | | 49 | 13 |
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| 66.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.44171779141104295 | | totalSentences | 163 | | uniqueOpeners | 72 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 110 | | matches | | 0 | "Somewhere a bus sighed at" | | 1 | "Always distance when it came" | | 2 | "Then he picked up the" | | 3 | "Just two mismatched eyes fixed" | | 4 | "Then Lucien stood." | | 5 | "Almost a laugh." | | 6 | "Just a place to rest." |
| | ratio | 0.064 | |
| 81.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 110 | | matches | | 0 | "She got that." | | 1 | "She also got Lucien Moreau." | | 2 | "He stood on the narrow" | | 3 | "His voice was smoke over" | | 4 | "She kept her face still." | | 5 | "He glanced past her into" | | 6 | "She should have said no." | | 7 | "She had walked away before" | | 8 | "She had been proud of" | | 9 | "She had also not slept" | | 10 | "He set his ivory-handled cane" | | 11 | "He shrugged out of his" | | 12 | "He turned fully toward her" | | 13 | "She had never managed to" | | 14 | "He had never told her" | | 15 | "He moved past the sofa," | | 16 | "She moved into the kitchenette" | | 17 | "she said to the kettle" | | 18 | "He was quiet a moment" | | 19 | "She stayed standing." |
| | ratio | 0.345 | |
| 82.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 110 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "She got that." | | 2 | "She also got Lucien Moreau." | | 3 | "He stood on the narrow" | | 4 | "Rain beaded along his shoulders." | | 5 | "The curry house downstairs thumped" | | 6 | "Rory’s knuckles went white on" | | 7 | "His voice was smoke over" | | 8 | "French underedges, deliberate, as though" | | 9 | "Rory did not move to" | | 10 | "The corner of his mouth" | | 11 | "Heat flashed up under her" | | 12 | "She kept her face still." | | 13 | "He glanced past her into" | | 14 | "She should have said no." | | 15 | "The last time she had" | | 16 | "That was the polite word" | | 17 | "She had walked away before" | | 18 | "She had been proud of" | | 19 | "She had also not slept" |
| | ratio | 0.755 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 9 | | matches | | 0 | "He stood on the narrow landing as if the staircase itself had decided to present him, cane perched neat against the warped wood of the banister, charcoal suit i…" | | 1 | "French underedges, deliberate, as though he still measured every English word for weight." | | 2 | "She moved into the kitchenette — three feet of scarred counter, a hotplate, a sink that groaned — and filled the kettle because doing something with her hands w…" | | 3 | "It showed, briefly, the man she had stumbled into wanting between coded nights and late barcode scans of prawn crackers from Golden Empress shifts, the man who …" | | 4 | "Rory felt the whole of their history tighten into a single stretched thread: the almosts, the argument near that Pret wall when she had told him she would not b…" | | 5 | "He smelled of rain and lacquered wool and that faint bitter-spice she had never managed to name, something that belonged to Avaros more than Marseille." | | 6 | "Under it he was solid and carefully held-together and half-demon and the man who had made her that appalling tea once at three in the morning while explaining t…" | | 7 | "When she turned back Lucien had settled once more into the armchair as if the universe had finally, temporarily, permitted him to claim a chair, cane across his…" | | 8 | "Inside, rain ticked the glass, research answered only its own questions, and two people who had parted torn at the seams sat down to wait out the night with eve…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 1 | | matches | | 0 | "Lucien said, and the voice flattened into report" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |