| 87.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said smoothly [smoothly]" | | 1 | "she said again [again]" |
| | dialogueSentences | 32 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.2 | | effectiveRatio | 0.125 | |
| 63.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 828 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "lightly" | | 3 | "sharply" | | 4 | "perfectly" |
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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) | |
| 39.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 828 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "perfect" | | 1 | "warmth" | | 2 | "silence" | | 3 | "unreadable" | | 4 | "marble" | | 5 | "tension" | | 6 | "anticipation" | | 7 | "flickered" | | 8 | "traced" |
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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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 811 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 636 | | uniqueNames | 6 | | maxNameDensity | 1.1 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 7 | | Bollywood | 1 | | Lucien | 5 | | Eva | 1 | | Persian | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Aurora" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.95 | | windowScore | 1 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like ink and stale coffee" |
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| 76.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.233 | | wordCount | 811 | | matches | | 0 | "not pain, but anticipation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 19.31 | | std | 12.75 | | cv | 0.66 | | sampleLengths | | 0 | 37 | | 1 | 52 | | 2 | 15 | | 3 | 28 | | 4 | 17 | | 5 | 25 | | 6 | 41 | | 7 | 12 | | 8 | 13 | | 9 | 23 | | 10 | 13 | | 11 | 13 | | 12 | 45 | | 13 | 14 | | 14 | 23 | | 15 | 20 | | 16 | 4 | | 17 | 4 | | 18 | 23 | | 19 | 26 | | 20 | 28 | | 21 | 24 | | 22 | 8 | | 23 | 31 | | 24 | 12 | | 25 | 9 | | 26 | 11 | | 27 | 15 | | 28 | 25 | | 29 | 4 | | 30 | 2 | | 31 | 7 | | 32 | 14 | | 33 | 52 | | 34 | 7 | | 35 | 9 | | 36 | 37 | | 37 | 13 | | 38 | 8 | | 39 | 26 | | 40 | 16 | | 41 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 90 | | ratio | 0.122 | | matches | | 0 | "Still that same platinum blond hair slicked back, the same too-perfect posture that made her think of old film reels—gentlemen thieves and wartime spies." | | 1 | "His heterochromatic eyes caught the dim hall light—one amber, one black—and for a heartbeat, she forgot how to breathe." | | 2 | "After the way he'd looked at her when she walked out—like she was the one who'd turned into a stranger." | | 3 | "Behind her, the flat was a mess—scrolls and books stacked haphazardly on the coffee table, Eva’s ancient Persian rug half-buried beneath notes in three different languages." | | 4 | "Her fingers instinctively brushed the ends where they barely grazed her shoulders now—shorter than when he’d last seen her." | | 5 | "He’d refuse anyway—always did." | | 6 | "\"Naturally.\" His tone was light, but there was something underneath—something she recognized from the last job." | | 7 | "His expression was unreadable—polished marble, perfectly controlled." | | 8 | "Knew, too, the way his fingers flexed around the cane—not pain, but anticipation." | | 9 | "Something flickered in his eyes—relief?" | | 10 | "Ptolemy hopped down from the sofa and padded over, weaving between Lucien’s legs like he wasn’t the worst kind of magnet—impossible to resist, dangerous to touch." |
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| 79.56% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 653 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same infuriating half-smile." |
| | adverbCount | 36 | | adverbRatio | 0.055130168453292494 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.021439509954058193 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 9.01 | | std | 6.24 | | cv | 0.693 | | sampleLengths | | 0 | 15 | | 1 | 22 | | 2 | 7 | | 3 | 2 | | 4 | 24 | | 5 | 19 | | 6 | 13 | | 7 | 2 | | 8 | 15 | | 9 | 8 | | 10 | 5 | | 11 | 17 | | 12 | 2 | | 13 | 3 | | 14 | 20 | | 15 | 19 | | 16 | 21 | | 17 | 1 | | 18 | 12 | | 19 | 10 | | 20 | 3 | | 21 | 5 | | 22 | 4 | | 23 | 14 | | 24 | 6 | | 25 | 7 | | 26 | 7 | | 27 | 6 | | 28 | 26 | | 29 | 8 | | 30 | 11 | | 31 | 8 | | 32 | 6 | | 33 | 10 | | 34 | 12 | | 35 | 1 | | 36 | 7 | | 37 | 13 | | 38 | 4 | | 39 | 4 | | 40 | 19 | | 41 | 4 | | 42 | 21 | | 43 | 5 | | 44 | 15 | | 45 | 4 | | 46 | 4 | | 47 | 5 | | 48 | 11 | | 49 | 13 |
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| 78.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5111111111111111 | | totalSentences | 90 | | uniqueOpeners | 46 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Of course he had admirers." |
| | ratio | 0.017 | |
| 53.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 60 | | matches | | 0 | "His heterochromatic eyes caught the" | | 1 | "She crossed her arms, leaning" | | 2 | "he said smoothly, adjusting his" | | 3 | "she asked, flicking a glance" | | 4 | "His thumb brushed over the" | | 5 | "he said, oddly sincere" | | 6 | "She exhaled sharply, half amused," | | 7 | "She stepped aside before she" | | 8 | "He glanced around, taking in" | | 9 | "Her fingers instinctively brushed the" | | 10 | "His gaze lingered a second" | | 11 | "He’d refuse anyway—always did." | | 12 | "He leaned against the counter," | | 13 | "His tone was light, but" | | 14 | "She handed him the water." | | 15 | "Their fingers brushed." | | 16 | "He didn’t pull away." | | 17 | "she asked, quieter now" | | 18 | "He set his untouched water" | | 19 | "She looked up." |
| | ratio | 0.417 | |
| 68.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 60 | | matches | | 0 | "The three deadbolts clicked open" | | 1 | "The scent of curry from" | | 2 | "The man on the doorstep" | | 3 | "His heterochromatic eyes caught the" | | 4 | "Lucien leaned lightly on his" | | 5 | "The sound of her nickname" | | 6 | "She crossed her arms, leaning" | | 7 | "he said smoothly, adjusting his" | | 8 | "Downstairs, the curry house radio" | | 9 | "Ptolemy wound between her legs," | | 10 | "she asked, flicking a glance" | | 11 | "His thumb brushed over the" | | 12 | "Aurora rolled her eyes." | | 13 | "he said, oddly sincere" | | 14 | "She exhaled sharply, half amused," | | 15 | "The air smelled like ink" | | 16 | "She stepped aside before she" | | 17 | "Lucien swept past her, cane" | | 18 | "He glanced around, taking in" | | 19 | "Aurora shut the door harder" |
| | ratio | 0.783 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Still that same platinum blond hair slicked back, the same too-perfect posture that made her think of old film reels—gentlemen thieves and wartime spies." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "His thumb brushed, casual" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 32 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0.143 | | effectiveRatio | 0.063 | |