| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1305 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "cautiously" | | 2 | "slowly" | | 3 | "nervously" | | 4 | "softly" |
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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) | |
| 4.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1305 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "pulse" | | 1 | "weight" | | 2 | "echoed" | | 3 | "scanning" | | 4 | "flicker" | | 5 | "gloom" | | 6 | "tinged" | | 7 | "flicked" | | 8 | "unspoken" | | 9 | "resonance" | | 10 | "whisper" | | 11 | "shimmered" | | 12 | "coded" | | 13 | "charged" | | 14 | "electric" | | 15 | "could feel" | | 16 | "stomach" | | 17 | "flickered" | | 18 | "raced" | | 19 | "pulsed" | | 20 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1294 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1193 | | uniqueNames | 4 | | maxNameDensity | 1.59 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 19 | | Quinn | 1 | | Raven | 5 | | Nest | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" |
| | places | (empty) | | globalScore | 0.704 | | windowScore | 0.667 | |
| 68.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed alive every flicker of movement a threat" | | 1 | "as if waking from a long sleep" | | 2 | "quite human" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.773 | | wordCount | 1294 | | matches | | 0 | "not at her, but toward the vial" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 145 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.41 | | std | 18.61 | | cv | 0.633 | | sampleLengths | | 0 | 58 | | 1 | 67 | | 2 | 48 | | 3 | 42 | | 4 | 64 | | 5 | 44 | | 6 | 14 | | 7 | 47 | | 8 | 6 | | 9 | 31 | | 10 | 13 | | 11 | 12 | | 12 | 44 | | 13 | 31 | | 14 | 35 | | 15 | 8 | | 16 | 39 | | 17 | 39 | | 18 | 7 | | 19 | 12 | | 20 | 6 | | 21 | 10 | | 22 | 44 | | 23 | 36 | | 24 | 5 | | 25 | 10 | | 26 | 42 | | 27 | 49 | | 28 | 9 | | 29 | 9 | | 30 | 38 | | 31 | 57 | | 32 | 40 | | 33 | 4 | | 34 | 31 | | 35 | 48 | | 36 | 12 | | 37 | 48 | | 38 | 11 | | 39 | 11 | | 40 | 46 | | 41 | 18 | | 42 | 40 | | 43 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 134 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 236 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 145 | | ratio | 0.069 | | matches | | 0 | "The suspect—a wiry man with a scar across his forearm—had slipped through the alleyway entrance just ahead, disappearing into darkness." | | 1 | "He held something small in his hand—a bundle wrapped in oilcloth." | | 2 | "She’d seen this before—in the worst kinds of markets." | | 3 | "She could sense it—the weight of unspoken threats pressing against her skin." | | 4 | "Something about it felt wrong—too deliberate." | | 5 | "A sudden noise echoed from deeper within the market—a clatter, followed by muffled voices." | | 6 | "She’d heard that tone before—in the files, in the reports." | | 7 | "She recognized the markings on the vial—symbols she’d seen in the files, in the coded messages buried deep within the Raven’s Nest archives." | | 8 | "Then, without warning, the suspect lunged—not at her, but toward the vial." | | 9 | "Images flashed behind her eyes—faces she recognized, places she’d visited in nightmares." |
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| 99.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1206 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.0406301824212272 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.014096185737976783 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 8.92 | | std | 5 | | cv | 0.56 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 4 | | 3 | 2 | | 4 | 20 | | 5 | 12 | | 6 | 20 | | 7 | 15 | | 8 | 9 | | 9 | 11 | | 10 | 11 | | 11 | 7 | | 12 | 16 | | 13 | 5 | | 14 | 9 | | 15 | 8 | | 16 | 11 | | 17 | 19 | | 18 | 4 | | 19 | 4 | | 20 | 17 | | 21 | 7 | | 22 | 22 | | 23 | 14 | | 24 | 11 | | 25 | 11 | | 26 | 6 | | 27 | 6 | | 28 | 10 | | 29 | 6 | | 30 | 8 | | 31 | 9 | | 32 | 18 | | 33 | 9 | | 34 | 11 | | 35 | 4 | | 36 | 2 | | 37 | 4 | | 38 | 11 | | 39 | 8 | | 40 | 8 | | 41 | 7 | | 42 | 6 | | 43 | 5 | | 44 | 7 | | 45 | 12 | | 46 | 9 | | 47 | 9 | | 48 | 6 | | 49 | 3 |
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| 45.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.31724137931034485 | | totalSentences | 145 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 126 | | matches | | 0 | "Somewhere nearby, a siren wailed," | | 1 | "Instead, he ducked beneath a" | | 2 | "Instead, he took a step" | | 3 | "Then, slowly, he extended his" | | 4 | "Then, without warning, the suspect" | | 5 | "All that existed was the" | | 6 | "Instead, she let herself be" |
| | ratio | 0.056 | |
| 93.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 126 | | matches | | 0 | "She didn’t look back." | | 1 | "Her watch, worn leather band" | | 2 | "She adjusted her grip on" | | 3 | "She could hear the soft" | | 4 | "Her breath came quick, shallow." | | 5 | "she shouted, voice sharp as" | | 6 | "He didn’t run away." | | 7 | "She moved cautiously, scanning the" | | 8 | "she demanded, stepping forward" | | 9 | "Her voice carried easily in" | | 10 | "His eyes darted between her" | | 11 | "He held something small in" | | 12 | "His accent was rough, tinged" | | 13 | "she replied, advancing slowly" | | 14 | "He laughed, low and bitter." | | 15 | "She’d seen this before—in the" | | 16 | "he said, voice steady despite" | | 17 | "She’d faced worse in the" | | 18 | "She could sense it—the weight" | | 19 | "she repeated, louder this time" |
| | ratio | 0.317 | |
| 19.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 126 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed" | | 1 | "Rain drummed against her leather" | | 2 | "She didn’t look back." | | 3 | "The suspect—a wiry man with" | | 4 | "Her watch, worn leather band" | | 5 | "She adjusted her grip on" | | 6 | "The air smelled of wet" | | 7 | "The suspect moved fast, slipping" | | 8 | "Harlow followed, boots skidding on" | | 9 | "She could hear the soft" | | 10 | "Her breath came quick, shallow." | | 11 | "The rain stung her cheeks," | | 12 | "she shouted, voice sharp as" | | 13 | "The shout echoed off brick" | | 14 | "The suspect paused, turned slightly," | | 15 | "He didn’t run away." | | 16 | "Harlow hesitated only a second," | | 17 | "The passage opened into a" | | 18 | "The air inside was thick" | | 19 | "The market stretched before them," |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 126 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles that reflected the flickering green neon of the Raven’s Nest sign." | | 1 | "The kind that made you question whether you were chasing a man or something far worse." | | 2 | "Harlow could feel it pressing against her chest, a pressure that made her vision blur at the edges." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 5 | | matches | | 0 | "she shouted, voice sharp as broken glass" | | 1 | "he said, voice steady despite the rain still drumming overhead" | | 2 | "she asked, voice low" | | 3 | "she countered, voice trembling" | | 4 | "he said, voice urgent" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 7 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she demanded (demand)" | | 2 | "he muttered (mutter)" | | 3 | "she repeated (repeat)" | | 4 | "she warned (warn)" | | 5 | "she breathed (breathe)" | | 6 | "he whispered (whisper)" |
| | dialogueSentences | 24 | | tagDensity | 0.458 | | leniency | 0.917 | | rawRatio | 0.636 | | effectiveRatio | 0.583 | |