| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "The name tasted like [like]" | | 1 | "His gaze drifted back [back]" |
| | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 68.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 958 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "really" | | 3 | "slowly" | | 4 | "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) | |
| 21.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 958 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | |
| | highlights | | 0 | "echoed" | | 1 | "silence" | | 2 | "intensity" | | 3 | "charged" | | 4 | "trembled" | | 5 | "pulse" | | 6 | "raced" | | 7 | "sanctuary" | | 8 | "whisper" | | 9 | "pounding" | | 10 | "down her spine" | | 11 | "palpable" | | 12 | "tension" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "clenched into fists" | | 1 | "hung in the air" | | 2 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 53.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 64 | | filterMatches | | | 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 | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 949 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 808 | | uniqueNames | 9 | | maxNameDensity | 0.74 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Eva | 1 | | London | 1 | | Ptolemy | 2 | | Carter | 1 | | Rory | 1 | | Moreau | 4 | | Frenchman | 1 | | Aurora | 6 | | Lucien | 5 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Moreau" | | 5 | "Aurora" | | 6 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 5.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed unnaturally loud in the sudden silence" | | 1 | "tasted like ash on her tongue" | | 2 | "murmur that seemed to vibrate in her bones" |
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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 | 949 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 47.65% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 79.08 | | std | 25.05 | | cv | 0.317 | | sampleLengths | | 0 | 89 | | 1 | 84 | | 2 | 128 | | 3 | 92 | | 4 | 72 | | 5 | 50 | | 6 | 39 | | 7 | 49 | | 8 | 64 | | 9 | 75 | | 10 | 102 | | 11 | 105 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 70 | | ratio | 0.057 | | matches | | 0 | "Inside, the air hung thick with the scent of old paper, stale coffee, and something else—something sharp and metallic, like ozone before a storm." | | 1 | "Instead, his gaze swept the room—the towering stacks of books and scrolls crowding every surface, the worn sofa, the kitchenette tucked into the corner." | | 2 | "She took a shallow breath, the scent of him—cologne, leather, something faintly demonic—cutting through the stale air." | | 3 | "The attraction, the history, the hurt—it all surged forward, a tidal wave she couldn’t hold back." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 815 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03558282208588957 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012269938650306749 | |
| 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 | 13.56 | | std | 7.8 | | cv | 0.575 | | sampleLengths | | 0 | 13 | | 1 | 18 | | 2 | 23 | | 3 | 20 | | 4 | 15 | | 5 | 24 | | 6 | 24 | | 7 | 16 | | 8 | 2 | | 9 | 2 | | 10 | 16 | | 11 | 23 | | 12 | 16 | | 13 | 5 | | 14 | 24 | | 15 | 20 | | 16 | 14 | | 17 | 13 | | 18 | 13 | | 19 | 3 | | 20 | 10 | | 21 | 26 | | 22 | 17 | | 23 | 14 | | 24 | 5 | | 25 | 17 | | 26 | 6 | | 27 | 8 | | 28 | 12 | | 29 | 20 | | 30 | 14 | | 31 | 12 | | 32 | 3 | | 33 | 9 | | 34 | 20 | | 35 | 8 | | 36 | 10 | | 37 | 3 | | 38 | 21 | | 39 | 15 | | 40 | 3 | | 41 | 1 | | 42 | 16 | | 43 | 21 | | 44 | 8 | | 45 | 5 | | 46 | 7 | | 47 | 39 | | 48 | 13 | | 49 | 9 |
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| 54.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.34285714285714286 | | totalSentences | 70 | | uniqueOpeners | 24 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 61 | | matches | | 0 | "Instead, his gaze swept the" | | 1 | "Instead, he slowly drew his" |
| | ratio | 0.033 | |
| 42.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 61 | | matches | | 0 | "Her bright blue eyes, wide" | | 1 | "He stepped fully into the" | | 2 | "His presence filled the small" | | 3 | "He didn’t look at her." | | 4 | "His platinum blond hair, slicked" | | 5 | "His tailored charcoal suit looked" | | 6 | "He moved with a fluid" | | 7 | "Her hands, clenched into fists" | | 8 | "She took a shallow breath," | | 9 | "Her mind raced, replaying the" | | 10 | "His amber eye, sharp and" | | 11 | "He offered a small, almost" | | 12 | "he said, his voice low" | | 13 | "Her voice was a brittle" | | 14 | "She didn’t lower her guard," | | 15 | "He didn’t flinch." | | 16 | "His gaze drifted back to" | | 17 | "she lied, her voice steadier" | | 18 | "He took another step forward," | | 19 | "Her eyes darted to the" |
| | ratio | 0.443 | |
| 9.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 61 | | matches | | 0 | "The door to Eva’s flatscraped" | | 1 | "A gust of cold London" | | 2 | "The tabby cat, Ptolemy, bolted" | | 3 | "The latch on the inner" | | 4 | "Aurora Carter, known to her" | | 5 | "Her bright blue eyes, wide" | | 6 | "The man who’d left her" | | 7 | "He stepped fully into the" | | 8 | "His presence filled the small" | | 9 | "He didn’t look at her." | | 10 | "His platinum blond hair, slicked" | | 11 | "His tailored charcoal suit looked" | | 12 | "An ivory-handled cane, slender and" | | 13 | "He moved with a fluid" | | 14 | "Aurora didn’t move." | | 15 | "Her hands, clenched into fists" | | 16 | "The scar on her left" | | 17 | "She took a shallow breath," | | 18 | "Her mind raced, replaying the" | | 19 | "The hurt, the anger, the" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "He stepped fully into the flat, closing the door behind him with a soft click that seemed unnaturally loud in the sudden silence." | | 1 | "His presence filled the small space, radiating a controlled intensity that made the air feel charged." | | 2 | "He offered a small, almost imperceptible tilt of his head, a gesture that was both a question and a challenge." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "He took, his movement deliberate, unhurried" |
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| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.25 | | effectiveRatio | 0.125 | |