| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "he stated simply [simply]" |
| | dialogueSentences | 30 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.056 | | effectiveRatio | 0.056 | |
| 79.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 999 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "really" | | 1 | "deliberately" | | 2 | "slightly" |
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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) | |
| 19.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 999 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "depths" | | 1 | "resonance" | | 2 | "unsettled" | | 3 | "magnetic" | | 4 | "scanned" | | 5 | "measured" | | 6 | "reminder" | | 7 | "encounter" | | 8 | "gleaming" | | 9 | "intensity" | | 10 | "chilling" | | 11 | "could feel" | | 12 | "warmth" | | 13 | "echoed" | | 14 | "unspoken" | | 15 | "echoes" |
| |
| 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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1002 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 777 | | uniqueNames | 7 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Rory | 6 | | French | 1 | | Lucien | 6 | | Moreau | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "French" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a brand on her skin" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.998 | | wordCount | 1002 | | matches | | 0 | "not exactly, but the sheer presence of it was unnerving" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 38.54 | | std | 23.13 | | cv | 0.6 | | sampleLengths | | 0 | 77 | | 1 | 7 | | 2 | 53 | | 3 | 26 | | 4 | 68 | | 5 | 72 | | 6 | 10 | | 7 | 12 | | 8 | 55 | | 9 | 40 | | 10 | 9 | | 11 | 27 | | 12 | 33 | | 13 | 52 | | 14 | 34 | | 15 | 46 | | 16 | 28 | | 17 | 33 | | 18 | 54 | | 19 | 58 | | 20 | 43 | | 21 | 7 | | 22 | 14 | | 23 | 3 | | 24 | 58 | | 25 | 83 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 58 | | matches | | 0 | "was buried" | | 1 | "been manipulated –" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 118 | | matches | | |
| 20.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 70 | | ratio | 0.043 | | matches | | 0 | "His heterochromatic eyes – one amber, one black – scanned the room with a cool, assessing gaze." | | 1 | "“Information,” he stated simply, his gaze sweeping over the room – the overflowing bookshelves, the scattered maps, the half-eaten takeout containers." | | 2 | "The memory of that night – the fear, the desperation, the chilling realization that she’d been manipulated – clawed at her throat." |
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| 92.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 774 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04392764857881137 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.02454780361757106 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.31 | | std | 9.13 | | cv | 0.638 | | sampleLengths | | 0 | 24 | | 1 | 4 | | 2 | 2 | | 3 | 35 | | 4 | 12 | | 5 | 6 | | 6 | 1 | | 7 | 16 | | 8 | 10 | | 9 | 16 | | 10 | 11 | | 11 | 20 | | 12 | 6 | | 13 | 3 | | 14 | 7 | | 15 | 2 | | 16 | 26 | | 17 | 30 | | 18 | 12 | | 19 | 26 | | 20 | 17 | | 21 | 17 | | 22 | 10 | | 23 | 4 | | 24 | 8 | | 25 | 7 | | 26 | 33 | | 27 | 15 | | 28 | 25 | | 29 | 15 | | 30 | 9 | | 31 | 21 | | 32 | 6 | | 33 | 20 | | 34 | 7 | | 35 | 6 | | 36 | 4 | | 37 | 31 | | 38 | 17 | | 39 | 3 | | 40 | 1 | | 41 | 23 | | 42 | 7 | | 43 | 11 | | 44 | 21 | | 45 | 14 | | 46 | 9 | | 47 | 11 | | 48 | 8 | | 49 | 11 |
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| 58.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38571428571428573 | | totalSentences | 70 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 54 | | matches | | 0 | "She was buried behind a" | | 1 | "Her fingers, stained with ink" | | 2 | "It snagged on her ribs" | | 3 | "She took a slow, deliberate" | | 4 | "she said, the words sharper" | | 5 | "He paused, and Rory could" | | 6 | "Her gut twisted." | | 7 | "It was invariably laced with" | | 8 | "She considered ignoring him, retreating" | | 9 | "She unlocked the door, pulling" | | 10 | "He was standing on the" | | 11 | "He held his ivory-handled cane," | | 12 | "His heterochromatic eyes – one" | | 13 | "he observed, his voice low" | | 14 | "He gave a small, almost" | | 15 | "He stepped inside, the door" | | 16 | "she asked, her voice tight" | | 17 | "he stated simply, his gaze" | | 18 | "she corrected, her voice flat" | | 19 | "He took a slow step" |
| | ratio | 0.648 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 54 | | matches | | 0 | "The knock was tentative, a" | | 1 | "Rory hadn’t expected anyone." | | 2 | "She was buried behind a" | | 3 | "Her fingers, stained with ink" | | 4 | "Another knock, louder this time," | | 5 | "The voice was a ghost," | | 6 | "It snagged on her ribs" | | 7 | "She took a slow, deliberate" | | 8 | "she said, the words sharper" | | 9 | "He paused, and Rory could" | | 10 | "Her gut twisted." | | 11 | "It was invariably laced with" | | 12 | "She considered ignoring him, retreating" | | 13 | "She unlocked the door, pulling" | | 14 | "He was standing on the" | | 15 | "He held his ivory-handled cane," | | 16 | "His heterochromatic eyes – one" | | 17 | "he observed, his voice low" | | 18 | "Rory narrowed her eyes." | | 19 | "He gave a small, almost" |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The knock was tentative, a soft rap against the aged wood of the door that felt jarringly out of place in the cramped hallway." | | 1 | "The air thickened with unspoken history, with the echoes of a connection that had burned fiercely and then died a slow, painful death." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 12 | | matches | | 0 | "he observed, his voice low and measured" | | 1 | "she asked, her voice tight" | | 2 | "she corrected, her voice flat" | | 3 | "He took, his eyes boring into hers" | | 4 | "Lucien said, his voice hardening slightly" | | 5 | "He raised, the ivory handle gleaming in the dim light" | | 6 | "she said, her voice gaining strength" | | 7 | "Lucien countered, his amber eye flashing" | | 8 | "He stopped, his breath warm against her cheek" | | 9 | "he added, his voice softening just slightly," | | 10 | "she whispered, her voice barely audible" | | 11 | "He lowered, his lips brushing against her ear" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "he stated simply (state)" | | 2 | "she corrected (correct)" | | 3 | "Lucien conceded (concede)" | | 4 | "he added (add)" | | 5 | "she whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.367 | | leniency | 0.733 | | rawRatio | 0.545 | | effectiveRatio | 0.4 | |