| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 78 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1386 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 71.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1386 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "weight" | | 1 | "measured" | | 2 | "familiar" | | 3 | "pulse" | | 4 | "quickened" | | 5 | "stomach" | | 6 | "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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 176 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 1386 | | ratio | 0.004 | | matches | | 0 | "that man is trouble." | | 1 | "chérie" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 916 | | uniqueNames | 15 | | maxNameDensity | 1.86 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 10 | | Lucien | 17 | | Moreau | 1 | | Brick | 2 | | Lane | 2 | | Books | 1 | | French | 1 | | Cardiff | 3 | | Aurora | 10 | | Soho | 1 | | Italian | 1 | | Rory | 1 | | Carter | 1 | | Evan | 5 | | University | 1 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Aurora" | | 4 | "Rory" | | 5 | "Carter" | | 6 | "Evan" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" | | 3 | "Soho" |
| | globalScore | 0.572 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite an invitation, and he entered anyway" | | 1 | "not quite a smile" | | 2 | "felt like a slap" | | 3 | "felt like evidence, or a curse, or both" |
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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 | 1386 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 176 | | matches | | 0 | "thought: *that man" | | 1 | "Hated that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 14.9 | | std | 16.11 | | cv | 1.081 | | sampleLengths | | 0 | 14 | | 1 | 45 | | 2 | 5 | | 3 | 4 | | 4 | 29 | | 5 | 5 | | 6 | 1 | | 7 | 48 | | 8 | 20 | | 9 | 5 | | 10 | 5 | | 11 | 24 | | 12 | 73 | | 13 | 10 | | 14 | 7 | | 15 | 2 | | 16 | 4 | | 17 | 4 | | 18 | 49 | | 19 | 24 | | 20 | 13 | | 21 | 31 | | 22 | 9 | | 23 | 1 | | 24 | 48 | | 25 | 4 | | 26 | 3 | | 27 | 2 | | 28 | 30 | | 29 | 14 | | 30 | 7 | | 31 | 17 | | 32 | 63 | | 33 | 3 | | 34 | 27 | | 35 | 2 | | 36 | 2 | | 37 | 11 | | 38 | 48 | | 39 | 15 | | 40 | 2 | | 41 | 2 | | 42 | 4 | | 43 | 5 | | 44 | 38 | | 45 | 3 | | 46 | 10 | | 47 | 28 | | 48 | 37 | | 49 | 3 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "was supposed" | | 1 | "was supposed" |
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| 46.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 174 | | matches | | 0 | "was wearing" | | 1 | "was approaching" | | 2 | "was like adding" | | 3 | "were trying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 176 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 492 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.034552845528455285 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0040650406504065045 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 176 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 176 | | mean | 7.88 | | std | 7.03 | | cv | 0.893 | | sampleLengths | | 0 | 2 | | 1 | 12 | | 2 | 39 | | 3 | 6 | | 4 | 5 | | 5 | 4 | | 6 | 16 | | 7 | 6 | | 8 | 7 | | 9 | 5 | | 10 | 1 | | 11 | 13 | | 12 | 29 | | 13 | 3 | | 14 | 3 | | 15 | 7 | | 16 | 9 | | 17 | 4 | | 18 | 5 | | 19 | 5 | | 20 | 3 | | 21 | 12 | | 22 | 9 | | 23 | 11 | | 24 | 16 | | 25 | 6 | | 26 | 8 | | 27 | 32 | | 28 | 4 | | 29 | 6 | | 30 | 7 | | 31 | 2 | | 32 | 4 | | 33 | 4 | | 34 | 7 | | 35 | 17 | | 36 | 1 | | 37 | 24 | | 38 | 14 | | 39 | 10 | | 40 | 7 | | 41 | 6 | | 42 | 9 | | 43 | 16 | | 44 | 6 | | 45 | 9 | | 46 | 1 | | 47 | 6 | | 48 | 42 | | 49 | 4 |
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| 50.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.35795454545454547 | | totalSentences | 176 | | uniqueOpeners | 63 | |
| 68.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 97 | | matches | | 0 | "Instead, she stepped back, not" | | 1 | "Always Rory, or Carter, or" |
| | ratio | 0.021 | |
| 63.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 97 | | matches | | 0 | "She'd undone all three before" | | 1 | "He always noticed." | | 2 | "His voice was low, measured" | | 3 | "She didn't answer." | | 4 | "She hadn't told Lucien." | | 5 | "She hadn't told anyone except" | | 6 | "He moved through the flat" | | 7 | "He stopped at the window," | | 8 | "His voice was quiet" | | 9 | "He turned to face her" | | 10 | "His hands, gloved in black" | | 11 | "He didn't flinch" | | 12 | "She'd felt it the first" | | 13 | "He'd been across the room," | | 14 | "She'd been right." | | 15 | "He studied her face with" | | 16 | "She'd heard the screams." | | 17 | "She'd known what they meant." | | 18 | "She'd stayed in her flat" | | 19 | "She'd waited for morning, then" |
| | ratio | 0.392 | |
| 6.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 97 | | matches | | 0 | "She'd undone all three before" | | 1 | "Aurora pulled the door open," | | 2 | "Ptolemy wound between his ankles," | | 3 | "Lucien's gaze, one amber and" | | 4 | "Books and scrolls covered every" | | 5 | "Lucien's gaze settled on her," | | 6 | "Aurora felt the weight of" | | 7 | "He always noticed." | | 8 | "His voice was low, measured" | | 9 | "A French accent surfaced on" | | 10 | "She didn't answer." | | 11 | "Ptolemy followed at his heels," | | 12 | "The flat smelled of old" | | 13 | "Aurora had been here three" | | 14 | "Evan had found her new" | | 15 | "Evan, who was supposed to" | | 16 | "Evan, who had left a" | | 17 | "She hadn't told Lucien." | | 18 | "She hadn't told anyone except" | | 19 | "Lucien stated, not asked" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien stated (state)" | | 1 | "Lucien continued (continue)" |
| | dialogueSentences | 78 | | tagDensity | 0.026 | | leniency | 0.051 | | rawRatio | 1 | | effectiveRatio | 0.051 | |