| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1524 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 57.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1524 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echoed" | | 1 | "firmly" | | 2 | "could feel" | | 3 | "chill" | | 4 | "silence" | | 5 | "testament" | | 6 | "chaotic" | | 7 | "throb" | | 8 | "pulse" | | 9 | "footsteps" |
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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 | 169 | | matches | (empty) | |
| 83.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 3 | | narrationSentences | 169 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1521 | | ratio | 0 | | matches | (empty) | |
| 8.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 7 | | matches | | 0 | "I told you to leave London, Rory said." | | 1 | "I told you to listen to me, Lucien replied." | | 2 | "Silas is a distraction, Lucien said." | | 3 | "I can handle it myself, she said." | | 4 | "You always think you can handle it alone, he said." | | 5 | "Because I want to, he said." | | 6 | "I expect the same of you, he replied." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1517 | | uniqueNames | 11 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | London | 3 | | Brick | 1 | | Lane | 1 | | Rory | 13 | | Lucien | 13 | | Ptolemy | 2 | | Evan | 1 | | Moreau | 1 | | Silas | 1 | | Avaros | 1 | | You | 5 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Ptolemy" | | 3 | "Evan" | | 4 | "Moreau" | | 5 | "Silas" | | 6 | "You" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 4 | | matches | | 0 | "tasted like soot, but the air on Brick La" | | 1 | "looked like a knife that had somehow mana" | | 2 | "looked like a man who could command a boa" | | 3 | "felt like betrayal" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.657 | | wordCount | 1521 | | matches | | 0 | "not a strand out of place, but the tips of his hair were dark with moisture" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 27.16 | | std | 22.59 | | cv | 0.832 | | sampleLengths | | 0 | 67 | | 1 | 4 | | 2 | 72 | | 3 | 22 | | 4 | 60 | | 5 | 4 | | 6 | 3 | | 7 | 79 | | 8 | 39 | | 9 | 13 | | 10 | 48 | | 11 | 53 | | 12 | 9 | | 13 | 8 | | 14 | 23 | | 15 | 63 | | 16 | 39 | | 17 | 57 | | 18 | 18 | | 19 | 6 | | 20 | 13 | | 21 | 64 | | 22 | 41 | | 23 | 14 | | 24 | 14 | | 25 | 12 | | 26 | 38 | | 27 | 38 | | 28 | 31 | | 29 | 20 | | 30 | 19 | | 31 | 55 | | 32 | 7 | | 33 | 41 | | 34 | 6 | | 35 | 11 | | 36 | 26 | | 37 | 6 | | 38 | 2 | | 39 | 46 | | 40 | 7 | | 41 | 3 | | 42 | 3 | | 43 | 66 | | 44 | 14 | | 45 | 32 | | 46 | 6 | | 47 | 65 | | 48 | 15 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 169 | | matches | | 0 | "was slicked" | | 1 | "was planted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 284 | | matches | | 0 | "was, standing" | | 1 | "was building" | | 2 | "was fighting" | | 3 | "was still falling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 169 | | ratio | 0.012 | | matches | | 0 | "The smell of his cologne—something expensive, dark, with hints of wood and iron—mixed with the smell of wet wool." | | 1 | "The sound of the street filled the room again—the hum of traffic, the distant wail of a siren, the smell of cumin and wet stone." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 701 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.028530670470756064 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009985734664764621 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 9 | | std | 6.76 | | cv | 0.751 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 5 | | 3 | 4 | | 4 | 30 | | 5 | 4 | | 6 | 16 | | 7 | 14 | | 8 | 23 | | 9 | 19 | | 10 | 8 | | 11 | 7 | | 12 | 7 | | 13 | 9 | | 14 | 13 | | 15 | 6 | | 16 | 17 | | 17 | 15 | | 18 | 4 | | 19 | 3 | | 20 | 4 | | 21 | 19 | | 22 | 35 | | 23 | 21 | | 24 | 6 | | 25 | 4 | | 26 | 7 | | 27 | 22 | | 28 | 9 | | 29 | 4 | | 30 | 2 | | 31 | 11 | | 32 | 5 | | 33 | 8 | | 34 | 13 | | 35 | 5 | | 36 | 4 | | 37 | 15 | | 38 | 12 | | 39 | 26 | | 40 | 9 | | 41 | 5 | | 42 | 3 | | 43 | 4 | | 44 | 1 | | 45 | 9 | | 46 | 3 | | 47 | 3 | | 48 | 3 | | 49 | 9 |
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| 29.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 34 | | diversityRatio | 0.1952662721893491 | | totalSentences | 169 | | uniqueOpeners | 33 | |
| 41.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 160 | | matches | | 0 | "Just to work?" | | 1 | "Just to work." |
| | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 96 | | totalSentences | 160 | | matches | | 0 | "She should have ignored him." | | 1 | "She really should have." | | 2 | "He looked like a knife" | | 3 | "His platinum blond hair was" | | 4 | "I told you to leave" | | 5 | "Her voice was too steady," | | 6 | "She gripped the frame of" | | 7 | "I told you to listen" | | 8 | "His voice was smooth, a" | | 9 | "He held a long, thin" | | 10 | "It's not like that." | | 11 | "He hovered in the threshold," | | 12 | "He was a fixer in" | | 13 | "She could feel the heat" | | 14 | "You have nowhere else to" | | 15 | "she asked, stepping back." | | 16 | "She didn't want him to" | | 17 | "She needed the door between" | | 18 | "I have nowhere else to" | | 19 | "She moved to close the" |
| | ratio | 0.6 | |
| 19.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 141 | | totalSentences | 160 | | matches | | 0 | "The deadbolts clicked in succession," | | 1 | "Rory pulled the chain back" | | 2 | "She should have ignored him." | | 3 | "She really should have." | | 4 | "The rain in London always" | | 5 | "The door swung inward." | | 6 | "Lucien stood in the hallway" | | 7 | "He looked like a knife" | | 8 | "His platinum blond hair was" | | 9 | "I told you to leave" | | 10 | "Her voice was too steady," | | 11 | "She gripped the frame of" | | 12 | "I told you to listen" | | 13 | "His voice was smooth, a" | | 14 | "He held a long, thin" | | 15 | "The tip of his cane" | | 16 | "It's not like that." | | 17 | "Lucien didn't step in." | | 18 | "He hovered in the threshold," | | 19 | "He was a fixer in" |
| | ratio | 0.881 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 160 | | matches | | 0 | "Now it only made her" | | 1 | "Because I know you'll try." | | 2 | "Because I want to, he" | | 3 | "If you're here, I expect" |
| | ratio | 0.025 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 2 | | matches | | 0 | "He was a fixer in the supernatural underworld, and here he was, standing in her personal space with the kind of intent that made Rory forget about the delivery …" | | 1 | "It was a chaotic archive of the life she was building for herself, a fortress of information against a world that wanted to keep her out." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |