| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "she yelled again [again]" |
| | dialogueSentences | 32 | | tagDensity | 0.656 | | leniency | 1 | | rawRatio | 0.048 | | effectiveRatio | 0.048 | |
| 90.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1105 | | 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) | |
| 4.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1105 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "scanning" | | 1 | "flickered" | | 2 | "raced" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "weight" | | 6 | "jaw clenched" | | 7 | "pulsed" | | 8 | "velvet" | | 9 | "pounding" | | 10 | "whisper" | | 11 | "palpable" | | 12 | "could feel" | | 13 | "resolve" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | 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 | 1101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 936 | | uniqueNames | 9 | | maxNameDensity | 2.14 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 20 | | Raven | 1 | | Nest | 1 | | Tomás | 3 | | Herrera | 1 | | Veil | 2 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Tomás" | | 5 | "Herrera" |
| | places | | | globalScore | 0.432 | | windowScore | 0.5 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "leather that seemed to whisper secrets" | | 1 | "as if expecting someone to appear" |
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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 | 1101 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 27.53 | | std | 17.27 | | cv | 0.628 | | sampleLengths | | 0 | 73 | | 1 | 67 | | 2 | 39 | | 3 | 51 | | 4 | 44 | | 5 | 50 | | 6 | 56 | | 7 | 23 | | 8 | 19 | | 9 | 7 | | 10 | 11 | | 11 | 27 | | 12 | 12 | | 13 | 19 | | 14 | 51 | | 15 | 11 | | 16 | 42 | | 17 | 51 | | 18 | 29 | | 19 | 21 | | 20 | 41 | | 21 | 28 | | 22 | 31 | | 23 | 7 | | 24 | 21 | | 25 | 5 | | 26 | 14 | | 27 | 24 | | 28 | 11 | | 29 | 31 | | 30 | 30 | | 31 | 10 | | 32 | 19 | | 33 | 10 | | 34 | 18 | | 35 | 27 | | 36 | 20 | | 37 | 7 | | 38 | 9 | | 39 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 49.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 92 | | ratio | 0.033 | | matches | | 0 | "A faint glow flickered at the bottom, and the air grew thick with the scent of damp earth and something else—something sweet and rotten." | | 1 | "Vendors hawked their wares—strange potions, shimmering crystals, and odd trinkets that pulsed with energy." | | 2 | "She caught glimpses of strange items—an ornate dagger, a vial of glowing liquid, a book bound in leather that seemed to whisper secrets." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 940 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.019148936170212766 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006382978723404255 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.97 | | std | 5.59 | | cv | 0.467 | | sampleLengths | | 0 | 10 | | 1 | 21 | | 2 | 16 | | 3 | 26 | | 4 | 13 | | 5 | 18 | | 6 | 27 | | 7 | 4 | | 8 | 5 | | 9 | 13 | | 10 | 13 | | 11 | 13 | | 12 | 10 | | 13 | 13 | | 14 | 16 | | 15 | 12 | | 16 | 15 | | 17 | 20 | | 18 | 9 | | 19 | 15 | | 20 | 12 | | 21 | 12 | | 22 | 11 | | 23 | 13 | | 24 | 24 | | 25 | 6 | | 26 | 13 | | 27 | 7 | | 28 | 16 | | 29 | 19 | | 30 | 7 | | 31 | 7 | | 32 | 4 | | 33 | 11 | | 34 | 16 | | 35 | 3 | | 36 | 9 | | 37 | 12 | | 38 | 7 | | 39 | 13 | | 40 | 16 | | 41 | 13 | | 42 | 9 | | 43 | 8 | | 44 | 3 | | 45 | 15 | | 46 | 16 | | 47 | 11 | | 48 | 13 | | 49 | 16 |
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| 53.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.33695652173913043 | | totalSentences | 92 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 40.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 80 | | matches | | 0 | "She peered around the corner," | | 1 | "She pushed off the wall," | | 2 | "She had to catch him." | | 3 | "she shouted, her voice cutting" | | 4 | "He turned sharply, disappearing into" | | 5 | "She took a deep breath," | | 6 | "She caught a glimpse of" | | 7 | "she yelled, but he didn’t" | | 8 | "He slammed the door behind" | | 9 | "She hesitated, the weight of" | | 10 | "She had no idea what" | | 11 | "She turned to see Tomás" | | 12 | "she warned, but he was" | | 13 | "he asked, breathless" | | 14 | "She gestured toward the staircase" | | 15 | "She met his gaze, the" | | 16 | "She had heard whispers of" | | 17 | "she said, her voice firm" | | 18 | "She reached the last step" | | 19 | "She spotted the suspect near" |
| | ratio | 0.45 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 80 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "She peered around the corner," | | 3 | "The neon glow of The" | | 4 | "A figure darted past, a" | | 5 | "She pushed off the wall," | | 6 | "The suspect, a wiry man" | | 7 | "Quinn's sharp jaw tightened." | | 8 | "She had to catch him." | | 9 | "she shouted, her voice cutting" | | 10 | "The man glanced back, eyes" | | 11 | "Quinn followed, her boots splashing" | | 12 | "He turned sharply, disappearing into" | | 13 | "Quinn skidded to a halt," | | 14 | "The alley was dark, shadows" | | 15 | "She took a deep breath," | | 16 | "The alley twisted and turned," | | 17 | "She caught a glimpse of" | | 18 | "Quinn pushed herself harder, muscles" | | 19 | "she yelled, but he didn’t" |
| | ratio | 0.963 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | 0 | "Before he could protest, she" |
| | ratio | 0.013 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 6 | | matches | | 0 | "The neon glow of The Raven's Nest flickered in the distance, casting an eerie light on the puddles that formed in the cracks of the cobblestones." | | 1 | "The suspect, a wiry man with a hood pulled low over his face, weaved through the throngs of late-night revelers, oblivious to the rain that soaked them." | | 2 | "Quinn followed, her boots splashing through puddles, the cold water soaking her trousers." | | 3 | "The door creaked open, revealing a dimly lit staircase that descended into darkness." | | 4 | "Quinn moved quickly, weaving through the crowd, her heart pounding in her chest." | | 5 | "The clique had been on her radar for months, a group rumored to be involved in criminal activities that blurred the lines between the natural and supernatural." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 11 | | matches | | 0 | "she shouted, her voice cutting through the din of laughter and music" | | 1 | "he asked, breathless" | | 2 | "Tomás countered, his voice low" | | 3 | "she said, her voice firm" | | 4 | "she shouted, but the noise swallowed her words" | | 5 | "he said, his voice trembling" | | 6 | "he pleaded, desperation lacing his words" | | 7 | "she shot back, her eyes narrowing" | | 8 | "she demanded, her voice steady" | | 9 | "he begged, his voice dropping to a whisper" | | 10 | "she said, her resolve hardening" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 9 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she yelled (yell)" | | 2 | "she warned (warn)" | | 3 | "she shouted (shout)" | | 4 | "she yelled again (yell)" | | 5 | "Quinn pressed (press)" | | 6 | "he pleaded (plead)" | | 7 | "she demanded (demand)" | | 8 | "he begged (beg)" |
| | dialogueSentences | 32 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.563 | | effectiveRatio | 0.563 | |