| 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 | |
| 79.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1436 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "utterly" | | 2 | "softly" | | 3 | "really" | | 4 | "carefully" | | 5 | "loosely" |
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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) | |
| 54.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1436 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "intensity" | | 1 | "pulse" | | 2 | "measured" | | 3 | "navigated" | | 4 | "silk" | | 5 | "weight" | | 6 | "silence" | | 7 | "charged" | | 8 | "stomach" | | 9 | "tension" | | 10 | "traced" |
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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 | 157 | | matches | (empty) | |
| 88.26% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 1 | | narrationSentences | 157 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1436 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 9 | | matches | | 0 | "You are not Eva, she said." | | 1 | "You have got thirty seconds, she said, stepping back." | | 2 | "You are living in a paper fortress, he murmured, his gaze sweeping over a diagram of warding sigils pinned above the rad…" | | 3 | "You kept secrets, she said." | | 4 | "I do not need a bodyguard, she said." | | 5 | "I did not tell you about Evan, he said quietly, because I was hunting the men who funded him." | | 6 | "You do not get to decide what keeps me safe, she whispered." | | 7 | "Start with the mark, she said." | | 8 | "It began in Marseille, he said, and the room narrowed to the sound of his voice, the steady rhythm of his words, the qui…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1434 | | uniqueNames | 23 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 4 | | Brick | 2 | | Lane | 2 | | Rory | 10 | | French | 2 | | Lucien | 6 | | Moreau | 1 | | Edinburgh | 1 | | Shoreditch | 1 | | German | 1 | | Evan | 3 | | London | 1 | | Yu-Fei | 1 | | Cheung | 2 | | Golden | 1 | | Empress | 1 | | Wapping | 1 | | Triads | 1 | | Aurora | 1 | | Silas | 1 | | Marseille | 1 | | Ptolemy | 3 | | You | 10 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Evan" | | 5 | "Yu-Fei" | | 6 | "Cheung" | | 7 | "Silas" | | 8 | "Ptolemy" | | 9 | "You" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Edinburgh" | | 3 | "Shoreditch" | | 4 | "London" | | 5 | "Wapping" | | 6 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a lifetime ago" | | 1 | "tasted like copper and rain" | | 2 | "not quite touching" |
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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 | 1436 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 157 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 35.9 | | std | 27.22 | | cv | 0.758 | | sampleLengths | | 0 | 34 | | 1 | 5 | | 2 | 94 | | 3 | 41 | | 4 | 14 | | 5 | 21 | | 6 | 85 | | 7 | 15 | | 8 | 78 | | 9 | 22 | | 10 | 26 | | 11 | 33 | | 12 | 3 | | 13 | 3 | | 14 | 53 | | 15 | 23 | | 16 | 118 | | 17 | 15 | | 18 | 25 | | 19 | 82 | | 20 | 13 | | 21 | 46 | | 22 | 6 | | 23 | 30 | | 24 | 55 | | 25 | 31 | | 26 | 32 | | 27 | 25 | | 28 | 4 | | 29 | 20 | | 30 | 57 | | 31 | 39 | | 32 | 65 | | 33 | 12 | | 34 | 16 | | 35 | 52 | | 36 | 31 | | 37 | 64 | | 38 | 6 | | 39 | 42 |
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| 98.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 157 | | matches | | 0 | "was swept" | | 1 | "are built" | | 2 | "being said" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 266 | | matches | | 0 | "was just remembering" | | 1 | "was hunting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 157 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 785 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 27 | | adverbRatio | 0.034394904458598725 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01019108280254777 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 9.15 | | std | 6.79 | | cv | 0.743 | | sampleLengths | | 0 | 9 | | 1 | 25 | | 2 | 5 | | 3 | 24 | | 4 | 16 | | 5 | 19 | | 6 | 11 | | 7 | 4 | | 8 | 20 | | 9 | 19 | | 10 | 22 | | 11 | 6 | | 12 | 8 | | 13 | 4 | | 14 | 9 | | 15 | 4 | | 16 | 4 | | 17 | 7 | | 18 | 26 | | 19 | 5 | | 20 | 23 | | 21 | 8 | | 22 | 16 | | 23 | 9 | | 24 | 6 | | 25 | 17 | | 26 | 5 | | 27 | 7 | | 28 | 9 | | 29 | 9 | | 30 | 12 | | 31 | 19 | | 32 | 22 | | 33 | 4 | | 34 | 9 | | 35 | 8 | | 36 | 5 | | 37 | 5 | | 38 | 13 | | 39 | 7 | | 40 | 8 | | 41 | 3 | | 42 | 3 | | 43 | 6 | | 44 | 3 | | 45 | 14 | | 46 | 4 | | 47 | 4 | | 48 | 9 | | 49 | 10 |
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| 38.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.31210191082802546 | | totalSentences | 157 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 148 | | matches | (empty) | | ratio | 0 | |
| 25.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 72 | | totalSentences | 148 | | matches | | 0 | "He filled the narrow frame" | | 1 | "He had not changed." | | 2 | "You are not Eva, she" | | 3 | "Her voice came out steadier" | | 4 | "His French accent wrapped around" | | 5 | "He did not smile." | | 6 | "She should shut the door." | | 7 | "She should throw the deadbolts," | | 8 | "You have got thirty seconds," | | 9 | "He crossed the threshold with" | | 10 | "You are living in a" | | 11 | "It is Eva's place." | | 12 | "I am just housesitting while" | | 13 | "He turned to her then." | | 14 | "I heard you were back" | | 15 | "I never left." | | 16 | "You left me." | | 17 | "She focused on the knot" | | 18 | "We had an arrangement." | | 19 | "You needed a runner who" |
| | ratio | 0.486 | |
| 51.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 148 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "Rory pulled the door open," | | 2 | "Lucien stood on the landing." | | 3 | "He filled the narrow frame" | | 4 | "Platinum blond hair was swept" | | 5 | "The ivory head of his" | | 6 | "He had not changed." | | 7 | "Ptolemy wound himself around Rory's" | | 8 | "You are not Eva, she" | | 9 | "Her voice came out steadier" | | 10 | "An astute observation, cherie." | | 11 | "His French accent wrapped around" | | 12 | "He did not smile." | | 13 | "Rory's left hand tightened on" | | 14 | "The small crescent-shaped scar on" | | 15 | "She should shut the door." | | 16 | "She should throw the deadbolts," | | 17 | "You have got thirty seconds," | | 18 | "He crossed the threshold with" | | 19 | "The flat swallowed him whole." |
| | ratio | 0.818 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 148 | | matches | | 0 | "If he was here, the" | | 1 | "Before I decide you are" | | 2 | "If you knew it was" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "One amber eye, one black, fixed on her with an intensity that made the cramped hallway feel suddenly airless." | | 1 | "Ptolemy wound himself around Rory's ankles, purring like a faulty engine, utterly oblivious to the fault line cracking open beneath her feet." | | 2 | "The small crescent-shaped scar on her wrist pulled tight against her skin, a pale souvenir from a childhood bicycle crash that felt like a lifetime ago." |
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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 | |