| 85.71% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.143 | | effectiveRatio | 0.114 | |
| 68.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1252 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "very" | | 3 | "lightly" | | 4 | "sharply" | | 5 | "slowly" |
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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) | |
| 76.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1252 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silence" | | 1 | "unsettled" | | 2 | "weight" | | 3 | "predator" | | 4 | "resolved" | | 5 | "determined" |
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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 | 0 | | narrationSentences | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1264 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 863 | | uniqueNames | 8 | | maxNameDensity | 0.35 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Marseille | 2 | | English | 1 | | Lucien | 2 | | Rory | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 28.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like being read aloud" | | 1 | "tremor he was visibly working to still" |
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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 | 1264 | | matches | (empty) | |
| 72.77% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 71 | | matches | | 0 | "did that thing" | | 1 | "hated that she'd" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 38.3 | | std | 28.85 | | cv | 0.753 | | sampleLengths | | 0 | 25 | | 1 | 65 | | 2 | 21 | | 3 | 64 | | 4 | 48 | | 5 | 24 | | 6 | 54 | | 7 | 5 | | 8 | 48 | | 9 | 42 | | 10 | 87 | | 11 | 28 | | 12 | 47 | | 13 | 11 | | 14 | 6 | | 15 | 65 | | 16 | 1 | | 17 | 30 | | 18 | 32 | | 19 | 27 | | 20 | 2 | | 21 | 2 | | 22 | 98 | | 23 | 10 | | 24 | 61 | | 25 | 70 | | 26 | 119 | | 27 | 8 | | 28 | 55 | | 29 | 21 | | 30 | 13 | | 31 | 37 | | 32 | 38 |
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| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 52 | | matches | | 0 | "been commissioned" | | 1 | "was slicked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 139 | | matches | | 0 | "was raining" | | 1 | "was visibly working" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 71 | | ratio | 0.085 | | matches | | 0 | "Then the third, because Eva had drilled into her the litany — three turns, always three, no matter how impatient they sounded." | | 1 | "His cane rested against his hip, ivory handle catching the yellow glow, and his hair — that impossible platinum blond — was slicked back without a single strand out of place, as though the rain hammering Brick Lane had agreed to avoid him personally." | | 2 | "\"I know every address in this city, Carter. It's a professional deformity.\" His eyes — one amber, one black, the mismatch that had unsettled her the first time she met him and undone her every time since — moved over her face with an attentiveness that felt like being read aloud." | | 3 | "\"It was not flattery. It was diagnosis.\" He shifted his weight, and she caught it — the small hitch, the way his hand tightened on the cane." | | 4 | "\"No. It's supposed to make it honest.\" He looked down at his hands, and she saw it again — the wrongness." | | 5 | "He laughed — actually laughed, low and startled out of him, as though it had escaped custody — and lowered himself back down, and something in the flat, in her chest, unclenched by a single careful degree." |
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| 98.29% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 858 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.04195804195804196 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.019813519813519812 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 17.8 | | std | 14.29 | | cv | 0.803 | | sampleLengths | | 0 | 3 | | 1 | 16 | | 2 | 6 | | 3 | 40 | | 4 | 3 | | 5 | 22 | | 6 | 21 | | 7 | 14 | | 8 | 6 | | 9 | 44 | | 10 | 17 | | 11 | 31 | | 12 | 7 | | 13 | 17 | | 14 | 51 | | 15 | 3 | | 16 | 5 | | 17 | 27 | | 18 | 3 | | 19 | 3 | | 20 | 15 | | 21 | 4 | | 22 | 23 | | 23 | 15 | | 24 | 18 | | 25 | 28 | | 26 | 41 | | 27 | 25 | | 28 | 3 | | 29 | 3 | | 30 | 30 | | 31 | 14 | | 32 | 10 | | 33 | 1 | | 34 | 6 | | 35 | 21 | | 36 | 19 | | 37 | 25 | | 38 | 1 | | 39 | 30 | | 40 | 17 | | 41 | 15 | | 42 | 25 | | 43 | 2 | | 44 | 2 | | 45 | 2 | | 46 | 42 | | 47 | 56 | | 48 | 10 | | 49 | 5 |
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| 58.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.39436619718309857 | | totalSentences | 71 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 51 | | matches | | 0 | "Then the second." | | 1 | "Then the third, because Eva" |
| | ratio | 0.039 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 51 | | matches | | 0 | "She opened the door four" | | 1 | "His cane rested against his" | | 2 | "he said, as if this" | | 3 | "His voice did that thing" | | 4 | "She didn't unlatch the chain" | | 5 | "His eyes — one amber," | | 6 | "He shifted his weight, and" | | 7 | "He was hurt." | | 8 | "She unlatched the chain." | | 9 | "She would tell herself later" | | 10 | "It was a lie, and" | | 11 | "she said as he stepped" | | 12 | "He moved through the clutter" | | 13 | "He lowered himself onto the" | | 14 | "He looked down at his" | | 15 | "His left hand, resting on" | | 16 | "he continued, over her, his" | | 17 | "He said it lightly, which" | | 18 | "His head came up sharply." | | 19 | "he said quietly" |
| | ratio | 0.569 | |
| 28.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 51 | | matches | | 0 | "Rory set down her mug" | | 1 | "She opened the door four" | | 2 | "Lucien Moreau stood beneath the" | | 3 | "Charcoal suit, pressed to knife-edge" | | 4 | "His cane rested against his" | | 5 | "he said, as if this" | | 6 | "His voice did that thing" | | 7 | "She didn't unlatch the chain" | | 8 | "His eyes — one amber," | | 9 | "He shifted his weight, and" | | 10 | "He was hurt." | | 11 | "Something was wrong." | | 12 | "The realization arrived with an" | | 13 | "She unlatched the chain." | | 14 | "She would tell herself later" | | 15 | "It was a lie, and" | | 16 | "she said as he stepped" | | 17 | "He moved through the clutter" | | 18 | "He lowered himself onto the" | | 19 | "The place she knew from" |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 5 | | matches | | 0 | "His cane rested against his hip, ivory handle catching the yellow glow, and his hair — that impossible platinum blond — was slicked back without a single strand…" | | 1 | "His voice did that thing it always did, the faint Marseille rounding at the edges of his English, the low register that sat somewhere in her chest like a struck…" | | 2 | "He moved through the clutter of books and scrolls with a predator's grace, careful not to disturb anything, which was more consideration than most people showed…" | | 3 | "For a moment the mask was simply gone, and what was underneath was thirty-two years of a half-demon boy in Marseille who had learned early that wanting things w…" | | 4 | "He laughed — actually laughed, low and startled out of him, as though it had escaped custody — and lowered himself back down, and something in the flat, in her …" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, as if this were the reasonable opening move after five weeks of silence" | | 1 | "she said, but her voice had gone soft, which ruined it" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "he continued (continue)" |
| | dialogueSentences | 35 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.143 | | effectiveRatio | 0.057 | |