| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1286 | | totalAiIsmAdverbs | 1 | | 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) | |
| 6.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1286 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "tracing" | | 1 | "weight" | | 2 | "rhythmic" | | 3 | "echoed" | | 4 | "predator" | | 5 | "silk" | | 6 | "unspoken" | | 7 | "familiar" | | 8 | "velvet" | | 9 | "pawn" | | 10 | "navigate" | | 11 | "silence" | | 12 | "traced" | | 13 | "standard" | | 14 | "stark" | | 15 | "marble" | | 16 | "sanctuary" | | 17 | "could feel" | | 18 | "tension" | | 19 | "desire" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 50 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 50 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1280 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1215 | | uniqueNames | 10 | | maxNameDensity | 0.91 | | worstName | "You" | | maxWindowNameDensity | 2.5 | | worstWindowName | "You" | | discoveredNames | | Eva | 2 | | Avaros | 1 | | Aurora | 2 | | Price | 1 | | Lucien | 5 | | City | 1 | | Rory | 5 | | London | 1 | | Evan | 1 | | You | 11 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "You" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like winter in a city that had for" | | 1 | "tasted like peppermint, ozone, and the in" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.781 | | wordCount | 1280 | | matches | | 0 | "not the scarred one, but the other, pinning her palm against the tile" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 50 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 37.65 | | std | 19.6 | | cv | 0.521 | | sampleLengths | | 0 | 52 | | 1 | 50 | | 2 | 10 | | 3 | 60 | | 4 | 18 | | 5 | 63 | | 6 | 18 | | 7 | 83 | | 8 | 14 | | 9 | 36 | | 10 | 34 | | 11 | 56 | | 12 | 43 | | 13 | 58 | | 14 | 24 | | 15 | 27 | | 16 | 58 | | 17 | 10 | | 18 | 32 | | 19 | 9 | | 20 | 59 | | 21 | 20 | | 22 | 25 | | 23 | 67 | | 24 | 35 | | 25 | 42 | | 26 | 55 | | 27 | 50 | | 28 | 14 | | 29 | 57 | | 30 | 37 | | 31 | 35 | | 32 | 13 | | 33 | 16 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 50 | | matches | | 0 | "being sold" | | 1 | "being preserved" | | 2 | "is built" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 224 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 50 | | ratio | 0.08 | | matches | | 0 | "One amber eye tracked her every breath, while the other—pool-black and swallowing light—searched the dim corridor behind her." | | 1 | "Rory laughed, a brittle, sharp sound that didn't reach her eyes. She gestured to the surrounding clutter—the scrolls, the maps covered in red ink, the sheer volume of secrets Eva kept under lock and key. She paced, boots clicking against the floorboards. She grabbed a stray book, tossing it back onto the pile with unnecessary force." | | 2 | "She turned, her back hitting the counter. The kettle whistled, a shrill, piercing shriek that shredded the tension of the room. She reached past him to kill the flame, her sleeve brushing his shoulder. He grabbed her wrist—not the scarred one, but the other, pinning her palm against the tile." | | 3 | "He broke the kiss, his lips lingering against hers, his breath hitching. She could see the reflection of her own confusion and desire in his heterochromatic gaze—one golden, one dark, both entirely focused on her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 293 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, ozone-heavy tang" |
| | adverbCount | 9 | | adverbRatio | 0.030716723549488054 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.010238907849829351 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 50 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 50 | | mean | 25.6 | | std | 18.36 | | cv | 0.717 | | sampleLengths | | 0 | 21 | | 1 | 10 | | 2 | 21 | | 3 | 13 | | 4 | 18 | | 5 | 19 | | 6 | 10 | | 7 | 9 | | 8 | 18 | | 9 | 15 | | 10 | 18 | | 11 | 18 | | 12 | 7 | | 13 | 6 | | 14 | 20 | | 15 | 4 | | 16 | 13 | | 17 | 13 | | 18 | 4 | | 19 | 6 | | 20 | 8 | | 21 | 8 | | 22 | 8 | | 23 | 67 | | 24 | 14 | | 25 | 36 | | 26 | 34 | | 27 | 56 | | 28 | 43 | | 29 | 58 | | 30 | 24 | | 31 | 27 | | 32 | 58 | | 33 | 10 | | 34 | 32 | | 35 | 9 | | 36 | 59 | | 37 | 20 | | 38 | 25 | | 39 | 67 | | 40 | 35 | | 41 | 42 | | 42 | 55 | | 43 | 50 | | 44 | 14 | | 45 | 57 | | 46 | 37 | | 47 | 35 | | 48 | 13 | | 49 | 16 |
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| 44.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.28 | | totalSentences | 50 | | uniqueOpeners | 14 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 49 | | matches | | 0 | "She reached for the top" | | 1 | "He rested his weight on" | | 2 | "You left without finishing the" | | 3 | "She kicked a stack of" | | 4 | "He moved with a predator’s" | | 5 | "He stood too close." | | 6 | "He smelled like winter in" | | 7 | "I provided the information you" | | 8 | "You simply disliked the price" | | 9 | "She whirled around, stopping inches" | | 10 | "She looked up, locked into" | | 11 | "He didn't blink. He lowered" | | 12 | "I kept you off their" | | 13 | "I’m nobody’s pawn. I’m the" | | 14 | "He stepped toward her, invading" | | 15 | "I require a courier. Not" | | 16 | "Her heartbeat thudded against her" | | 17 | "I could have sent a" | | 18 | "He didn't wait for her" | | 19 | "I wanted to see if" |
| | ratio | 0.653 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 49 | | matches | | 0 | "Rory stared at the three" | | 1 | "The wood grain looked tired" | | 2 | "She reached for the top" | | 3 | "Lucien leaned against the doorframe," | | 4 | "He rested his weight on" | | 5 | "You left without finishing the" | | 6 | "Rory pushed past him into" | | 7 | "The air smelled of old" | | 8 | "She kicked a stack of" | | 9 | "Ptolemy the tabby cat blinked" | | 10 | "The conversation ended the moment" | | 11 | "Lucien clicked the lock shut" | | 12 | "The sound echoed like a" | | 13 | "He moved with a predator’s" | | 14 | "He stood too close." | | 15 | "The scent of sandalwood and" | | 16 | "He smelled like winter in" | | 17 | "Transactions require honesty, Aurora." | | 18 | "I provided the information you" | | 19 | "You simply disliked the price" |
| | ratio | 0.939 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 11 | | matches | | 0 | "He moved with a predator’s grace, shedding his coat and hanging it on a hook that groaned under the weight." | | 1 | "He didn't blink. He lowered his voice, a velvet rasp that hummed against her collarbone. He reached out, his gloved fingers hovering near her throat before he c…" | | 2 | "Rory laughed, a brittle, sharp sound that didn't reach her eyes. She gestured to the surrounding clutter—the scrolls, the maps covered in red ink, the sheer vol…" | | 3 | "He stepped toward her, invading her space until she backed into the desk piled high with dusty tomes. He braced a hand on either side of her hips. The ivory can…" | | 4 | "Her heartbeat thudded against her ribs, a frantic rhythm she hated him for inducing. The silence stretched, thick and suffocating. Ptolemy leaped from the books…" | | 5 | "She shoved him harder this time, creating enough space to pivot toward the kitchen alcove. She grabbed a kettle, her hands shaking as she filled it with water. …" | | 6 | "He stepped into the kitchen, his presence swallowing the small space. He stood behind her, close enough that she could feel the heat radiating from him. He rest…" | | 7 | "She turned, her back hitting the counter. The kettle whistled, a shrill, piercing shriek that shredded the tension of the room. She reached past him to kill the…" | | 8 | "He moved then, swift and decisive, his hand sliding behind her neck to pull her forward. The kiss wasn't gentle. It was a collision of history and pent-up anger…" | | 9 | "She gripped the lapels of his suit, twisting the fabric until her knuckles turned white. She kissed him back with the same ferocity, letting the frustration of …" | | 10 | "He broke the kiss, his lips lingering against hers, his breath hitching. She could see the reflection of her own confusion and desire in his heterochromatic gaz…" |
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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 | |