| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien asked quietly [quietly]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 59 | | tagDensity | 0.39 | | leniency | 0.78 | | rawRatio | 0.087 | | effectiveRatio | 0.068 | |
| 73.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1919 | | totalAiIsmAdverbs | 10 | | found | | | highlights | | 0 | "really" | | 1 | "lightly" | | 2 | "slowly" | | 3 | "suddenly" | | 4 | "carefully" | | 5 | "precisely" | | 6 | "softly" | | 7 | "gently" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 84.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1919 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "methodical" | | 1 | "perfect" | | 2 | "flicker" | | 3 | "stomach" | | 4 | "trembled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 118 | | matches | | 0 | "was angry" | | 1 | "was afraid" |
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| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 155 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 1931 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1426 | | uniqueNames | 20 | | maxNameDensity | 0.98 | | worstName | "Eva" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 14 | | Ptolemy | 4 | | Cardiff | 2 | | Law | 2 | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | English | 1 | | French | 2 | | Rory | 12 | | Lucien | 6 | | London | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Pre-Law | 1 | | Irish | 1 | | Welsh | 1 | | Evan | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Law" | | 3 | "Moreau" | | 4 | "Rory" | | 5 | "Lucien" | | 6 | "Cheung" | | 7 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "English" | | 4 | "French" | | 5 | "London" | | 6 | "Yu-Fei" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like peeling something open" | | 1 | "smelled like cold air and old cologne" |
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| 96.43% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.036 | | wordCount | 1931 | | matches | | 0 | "not her face, not her waist, but her left wrist, thumbing over the small crescent scar there" | | 1 | "not her waist, but her left wrist, thumbing over the small crescent scar there" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 155 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 24.44 | | std | 24 | | cv | 0.982 | | sampleLengths | | 0 | 5 | | 1 | 55 | | 2 | 45 | | 3 | 13 | | 4 | 2 | | 5 | 74 | | 6 | 10 | | 7 | 39 | | 8 | 4 | | 9 | 87 | | 10 | 1 | | 11 | 3 | | 12 | 4 | | 13 | 78 | | 14 | 18 | | 15 | 12 | | 16 | 2 | | 17 | 89 | | 18 | 16 | | 19 | 24 | | 20 | 53 | | 21 | 10 | | 22 | 4 | | 23 | 29 | | 24 | 4 | | 25 | 2 | | 26 | 4 | | 27 | 17 | | 28 | 95 | | 29 | 15 | | 30 | 25 | | 31 | 9 | | 32 | 16 | | 33 | 14 | | 34 | 10 | | 35 | 66 | | 36 | 17 | | 37 | 32 | | 38 | 3 | | 39 | 60 | | 40 | 45 | | 41 | 13 | | 42 | 35 | | 43 | 8 | | 44 | 34 | | 45 | 12 | | 46 | 24 | | 47 | 3 | | 48 | 5 | | 49 | 56 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 118 | | matches | | |
| 46.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 260 | | matches | | 0 | "was standing" | | 1 | "was wearing" | | 2 | "was being" | | 3 | "was giving" | | 4 | "were shaking" | | 5 | "was breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 155 | | ratio | 0.052 | | matches | | 0 | "Rory knew Eva's hands the way you know your own front door — quick, impatient, keys jangled against the middle deadbolt last because it stuck." | | 1 | "Behind her, every surface of Eva's cramped one-bedroom was covered the way it always was — books open spine-up, scrolls half-unrolled, sticky notes in Eva's frantic handwriting marching up the walls." | | 2 | "Lucien looked down, surprised, then — slowly, as if he was afraid Rory would laugh at him — bent to run two fingers over the tabby's head." | | 3 | "The flat was too small for him — too small for anyone over 5'6\", really. At 5'11\" he made it feel like a dollhouse." | | 4 | "He reached into the inner pocket of his suit, and for a second Rory's stomach dropped — old reflex, the Golden Empress delivery girl who'd seen what happened when fixers reached into inner pockets — but it was just a folded piece of thick paper." | | 5 | "And now —" | | 6 | "It was such a smooth line that for a second she almost missed how his fingers trembled when he finally, finally touched her — not her face, not her waist, but her left wrist, thumbing over the small crescent scar there like a prayer bead." | | 7 | "It was clumsy for a second — noses bumping against Eva's research notes, Ptolemy offended — and then it wasn't." |
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| 96.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 931 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.04403866809881848 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013963480128893663 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 155 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 155 | | mean | 12.46 | | std | 10.2 | | cv | 0.819 | | sampleLengths | | 0 | 5 | | 1 | 25 | | 2 | 30 | | 3 | 20 | | 4 | 25 | | 5 | 13 | | 6 | 2 | | 7 | 30 | | 8 | 10 | | 9 | 26 | | 10 | 4 | | 11 | 4 | | 12 | 10 | | 13 | 5 | | 14 | 3 | | 15 | 3 | | 16 | 2 | | 17 | 26 | | 18 | 4 | | 19 | 3 | | 20 | 6 | | 21 | 48 | | 22 | 12 | | 23 | 5 | | 24 | 13 | | 25 | 1 | | 26 | 3 | | 27 | 3 | | 28 | 1 | | 29 | 31 | | 30 | 11 | | 31 | 7 | | 32 | 29 | | 33 | 18 | | 34 | 8 | | 35 | 4 | | 36 | 2 | | 37 | 22 | | 38 | 7 | | 39 | 21 | | 40 | 29 | | 41 | 10 | | 42 | 3 | | 43 | 3 | | 44 | 10 | | 45 | 24 | | 46 | 26 | | 47 | 27 | | 48 | 10 | | 49 | 4 |
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| 43.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3096774193548387 | | totalSentences | 155 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 110 | | matches | | 0 | "Then the middle." | | 1 | "Then the bottom." | | 2 | "Of course it did." | | 3 | "Instead she reached, without thinking," |
| | ratio | 0.036 | |
| 16.36% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 110 | | matches | | 0 | "She had been asleep on" | | 1 | "she said, and hated how" | | 2 | "She was wearing the oversized" | | 3 | "She hadn't brushed it." | | 4 | "She hadn't done anything." | | 5 | "She opened the door." | | 6 | "He hadn't changed." | | 7 | "He leaned lightly on the" | | 8 | "He looked at her and" | | 9 | "He swallowed it." | | 10 | "she said, because she needed" | | 11 | "They had parted seven months" | | 12 | "He'd told her she was" | | 13 | "She'd told him that was" | | 14 | "He'd said, in that careful," | | 15 | "She'd said then maybe he" | | 16 | "He hadn't called." | | 17 | "She hadn't texted." | | 18 | "He straightened, wincing just enough" | | 19 | "He only leaned on it" |
| | ratio | 0.509 | |
| 46.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 110 | | matches | | 0 | "The locks were all wrong." | | 1 | "Rory knew Eva's hands the" | | 2 | "She had been asleep on" | | 3 | "she said, and hated how" | | 4 | "The floor of Eva's flat" | | 5 | "Rory's bare feet went numb" | | 6 | "She was wearing the oversized" | | 7 | "She hadn't brushed it." | | 8 | "She hadn't done anything." | | 9 | "The tabby made a low," | | 10 | "Rory flipped the top deadbolt." | | 11 | "Eva insisted on three, even" | | 12 | "She opened the door." | | 13 | "He hadn't changed." | | 14 | "That was the first, stupid" | | 15 | "Lucien Moreau standing in the" | | 16 | "He leaned lightly on the" | | 17 | "He looked at her and" | | 18 | "He swallowed it." | | 19 | "The scent of cumin and" |
| | ratio | 0.827 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 110 | | matches | | 0 | "Whoever was on the other" | | 1 | "Now Ptolemy was standing on" | | 2 | "If she moved, she'd have" | | 3 | "Now heat came rushing back" |
| | ratio | 0.036 | |
| 11.66% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 9 | | matches | | 0 | "Now Ptolemy was standing on the armrest with his tail bottled out to twice its size, staring at the door like it might bite him." | | 1 | "He leaned lightly on the ivory-handled cane that wasn't really a cane." | | 2 | "She'd told him that was rich coming from a half-demon who ran errands for things that didn't have names in English." | | 3 | "He'd said, in that careful, four-languages-fluent French accent that smoothed over even when he was angry, that he couldn't keep pulling her out of fires she li…" | | 4 | "Lucien looked down, surprised, then — slowly, as if he was afraid Rory would laugh at him — bent to run two fingers over the tabby's head." | | 5 | "It was a surrender that felt like peeling something open." | | 6 | "He reached into the inner pocket of his suit, and for a second Rory's stomach dropped — old reflex, the Golden Empress delivery girl who'd seen what happened wh…" | | 7 | "Ptolemy, who'd followed them back inside, jumped up onto the only clear space on the counter and began to wash his paw as if this were not dramatic at all." | | 8 | "He made a low sound against her mouth and pressed her back against the door again, gently this time, his palm flat over all three locks as if he could hold them…" |
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| 81.52% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 2 | | matches | | 0 | "His hand hovered, not touching" | | 1 | "she muttered, her black hair falling forward to hide her face" |
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| 99.15% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she muttered (mutter)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 59 | | tagDensity | 0.305 | | leniency | 0.61 | | rawRatio | 0.167 | | effectiveRatio | 0.102 | |