| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.029 | | leniency | 0.057 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1201 | | totalAiIsmAdverbs | 2 | | 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) | |
| 37.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1201 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "velvet" | | 1 | "rhythmic" | | 2 | "pulsed" | | 3 | "silence" | | 4 | "weight" | | 5 | "sense of" | | 6 | "profound" | | 7 | "flicker" | | 8 | "intensity" | | 9 | "warmth" | | 10 | "tension" | | 11 | "electric" | | 12 | "reminder" | | 13 | "pulse" |
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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 | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1200 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 7 | | wordCount | 810 | | uniqueNames | 4 | | maxNameDensity | 0.37 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Tuesday | 1 | | Marseille | 1 | | London | 2 | | Lucien | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a statue carved from obsidian" |
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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 | 1200 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 21.05 | | std | 16.16 | | cv | 0.768 | | sampleLengths | | 0 | 21 | | 1 | 50 | | 2 | 33 | | 3 | 2 | | 4 | 50 | | 5 | 6 | | 6 | 62 | | 7 | 44 | | 8 | 4 | | 9 | 4 | | 10 | 28 | | 11 | 4 | | 12 | 4 | | 13 | 55 | | 14 | 32 | | 15 | 7 | | 16 | 21 | | 17 | 32 | | 18 | 19 | | 19 | 10 | | 20 | 15 | | 21 | 9 | | 22 | 23 | | 23 | 58 | | 24 | 10 | | 25 | 17 | | 26 | 21 | | 27 | 10 | | 28 | 18 | | 29 | 49 | | 30 | 21 | | 31 | 13 | | 32 | 26 | | 33 | 9 | | 34 | 13 | | 35 | 14 | | 36 | 16 | | 37 | 19 | | 38 | 7 | | 39 | 11 | | 40 | 55 | | 41 | 17 | | 42 | 3 | | 43 | 13 | | 44 | 40 | | 45 | 4 | | 46 | 12 | | 47 | 8 | | 48 | 3 | | 49 | 47 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 124 | | matches | | |
| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 88 | | ratio | 0.023 | | matches | | 0 | "The silence that followed wasn't empty; it was heavy, thick with the weight of the months they hadn't spoken, the months since the argument in Marseille that had left her fleeing to London with nothing but a bruised ego and a sense of profound abandonment." | | 1 | "The room was cluttered—books on law and ancient linguistics spilled from shelves, and research notes were pinned to the walls like frantic thoughts." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 539 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.03525046382189239 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0055658627087198514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 13.64 | | std | 7.6 | | cv | 0.557 | | sampleLengths | | 0 | 21 | | 1 | 27 | | 2 | 23 | | 3 | 2 | | 4 | 31 | | 5 | 2 | | 6 | 12 | | 7 | 19 | | 8 | 19 | | 9 | 6 | | 10 | 11 | | 11 | 20 | | 12 | 17 | | 13 | 14 | | 14 | 19 | | 15 | 25 | | 16 | 4 | | 17 | 4 | | 18 | 18 | | 19 | 10 | | 20 | 4 | | 21 | 4 | | 22 | 10 | | 23 | 45 | | 24 | 6 | | 25 | 12 | | 26 | 14 | | 27 | 7 | | 28 | 21 | | 29 | 10 | | 30 | 22 | | 31 | 19 | | 32 | 10 | | 33 | 3 | | 34 | 12 | | 35 | 9 | | 36 | 23 | | 37 | 11 | | 38 | 4 | | 39 | 14 | | 40 | 29 | | 41 | 10 | | 42 | 17 | | 43 | 11 | | 44 | 10 | | 45 | 10 | | 46 | 18 | | 47 | 11 | | 48 | 15 | | 49 | 23 |
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| 36.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.29545454545454547 | | totalSentences | 88 | | uniqueOpeners | 26 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Instead, she leaned into the" |
| | ratio | 0.019 | |
| 1.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 53 | | matches | | 0 | "Her fingers curled around the" | | 1 | "She stepped back, an invitation" | | 2 | "He moved with a predatory" | | 3 | "He didn't look at the" | | 4 | "His gaze remained fixed on" | | 5 | "He closed the door behind" | | 6 | "She turned her back to" | | 7 | "She reached for a kettle," | | 8 | "She gripped the counter, the" | | 9 | "He didn't stop until he" | | 10 | "He didn't touch her, but" | | 11 | "She finally turned, her blue" | | 12 | "She could see the fine" | | 13 | "His expression didn't flicker, but" | | 14 | "She shoved past him, the" | | 15 | "She paced the length of" | | 16 | "He moved to the window," | | 17 | "He turned back to her," | | 18 | "She gripped the back of" | | 19 | "He crossed the room in" |
| | ratio | 0.547 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 53 | | matches | | 0 | "The heavy wood groaned on" | | 1 | "Lucien stood framed against the" | | 2 | "The scent of rain and" | | 3 | "Her fingers curled around the" | | 4 | "The voice was a low," | | 5 | "Lucien didn't move to enter," | | 6 | "The single amber eye caught" | | 7 | "She stepped back, an invitation" | | 8 | "He moved with a predatory" | | 9 | "He didn't look at the" | | 10 | "His gaze remained fixed on" | | 11 | "He closed the door behind" | | 12 | "The vibration of the bass" | | 13 | "She turned her back to" | | 14 | "She reached for a kettle," | | 15 | "She gripped the counter, the" | | 16 | "The silence that followed wasn't" | | 17 | "The *thud-tap* of the cane" | | 18 | "He didn't stop until he" | | 19 | "He didn't touch her, but" |
| | ratio | 0.943 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 53 | | matches | | 0 | "Even in the dimness, he" |
| | ratio | 0.019 | |
| 43.19% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 6 | | matches | | 0 | "The heavy wood groaned on its hinges, revealing a figure that didn't belong in the dim, flickering light of the hallway." | | 1 | "Lucien stood framed against the corridor’s shadow, the sharp line of his charcoal suit cutting a silhouette that felt too precise, too deliberate for a Tuesday …" | | 2 | "The silence that followed wasn't empty; it was heavy, thick with the weight of the months they hadn't spoken, the months since the argument in Marseille that ha…" | | 3 | "For a second, the anger vanished, replaced by the raw, aching magnetism that had always threatened to consume them." | | 4 | "The sound of the rain against the window became a roar in her ears, drowning out the music from the bar, drowning out the world outside this cramped, suffocatin…" | | 5 | "She looked up at him, her pulse thudding in her throat, her eyes searching his for a lie she knew wasn't there." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, her voice cracking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 35 | | tagDensity | 0.029 | | leniency | 0.057 | | rawRatio | 1 | | effectiveRatio | 0.057 | |