| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 678 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 678 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "uncanny" | | 1 | "treacherous" | | 2 | "determined" | | 3 | "reminder" | | 4 | "footsteps" | | 5 | "echoing" | | 6 | "flicker" | | 7 | "otherworldly" | | 8 | "charged" | | 9 | "imposing" | | 10 | "foreboding" | | 11 | "glinting" | | 12 | "glint" | | 13 | "flicked" | | 14 | "jaw clenched" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" | | 2 | "The air was heavy with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 40 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 40 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 679 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 589 | | uniqueNames | 7 | | maxNameDensity | 1.87 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 11 | | Veil | 1 | | Market | 1 | | Herrera | 4 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" |
| | places | (empty) | | globalScore | 0.566 | | windowScore | 0.833 | |
| 14.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 2 | | matches | | 0 | "quite discern" | | 1 | "power that seemed to vibrate through every molecule of air" |
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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 | 679 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 63.88% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 39.94 | | std | 14.92 | | cv | 0.374 | | sampleLengths | | 0 | 55 | | 1 | 63 | | 2 | 64 | | 3 | 45 | | 4 | 49 | | 5 | 41 | | 6 | 40 | | 7 | 32 | | 8 | 42 | | 9 | 18 | | 10 | 43 | | 11 | 12 | | 12 | 33 | | 13 | 33 | | 14 | 60 | | 15 | 28 | | 16 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 82.07% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 47 | | ratio | 0.021 | | matches | | 0 | "As they stepped through the entrance, the sounds of the market swelled around her – haggling vendors, the scent of incense and ozone, and the thrum of a power that seemed to vibrate through every molecule of air." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 589 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.023769100169779286 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010186757215619695 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 14.45 | | std | 7.12 | | cv | 0.493 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 24 | | 3 | 19 | | 4 | 18 | | 5 | 26 | | 6 | 11 | | 7 | 14 | | 8 | 12 | | 9 | 27 | | 10 | 8 | | 11 | 20 | | 12 | 17 | | 13 | 13 | | 14 | 8 | | 15 | 22 | | 16 | 6 | | 17 | 24 | | 18 | 6 | | 19 | 11 | | 20 | 10 | | 21 | 15 | | 22 | 15 | | 23 | 13 | | 24 | 19 | | 25 | 3 | | 26 | 20 | | 27 | 9 | | 28 | 10 | | 29 | 8 | | 30 | 10 | | 31 | 25 | | 32 | 18 | | 33 | 7 | | 34 | 5 | | 35 | 17 | | 36 | 16 | | 37 | 17 | | 38 | 16 | | 39 | 22 | | 40 | 38 | | 41 | 13 | | 42 | 10 | | 43 | 5 | | 44 | 8 | | 45 | 10 | | 46 | 3 |
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| 75.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.46808510638297873 | | totalSentences | 47 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 40 | | matches | | 0 | "She had been chasing this" | | 1 | "Her worn leather watch glinted" | | 2 | "She pushed open the creaking" | | 3 | "She had heard rumors of" | | 4 | "She had no token, and" | | 5 | "Her quarry, however, had already" | | 6 | "His warm brown eyes held" | | 7 | "she said, her voice firm" | | 8 | "he replied, his voice laced" | | 9 | "Her eyes locked onto Herrera's," | | 10 | "he said, a smile playing" | | 11 | "She'd follow her suspect, no" |
| | ratio | 0.3 | |
| 47.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 40 | | matches | | 0 | "Rain lashed down on the" | | 1 | "Detective Harlow Quinn sprinted down" | | 2 | "The suspect, a hooded individual" | | 3 | "Quinn's sharp jaw set in" | | 4 | "She had been chasing this" | | 5 | "Her worn leather watch glinted" | | 6 | "The suspect suddenly veered into" | | 7 | "Quinn followed, her footsteps echoing" | | 8 | "The air was heavy with" | | 9 | "A flicker of movement caught" | | 10 | "Quinn's instincts screamed warning, but" | | 11 | "She pushed open the creaking" | | 12 | "A musty smell enveloped her," | | 13 | "Quinn's skin prickled, her senses" | | 14 | "She had heard rumors of" | | 15 | "a low voice rumbled" | | 16 | "Quinn's hand instinctively went to" | | 17 | "Something about this place, about" | | 18 | "The figure stepped aside, revealing" | | 19 | "the figure intoned, its voice" |
| | ratio | 0.825 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 40 | | matches | | 0 | "If she wanted to catch" |
| | ratio | 0.025 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The suspect, a hooded individual with an uncanny agility, weaved through pedestrians and leapt over puddles with an ease that belied the treacherous conditions." | | 1 | "As they stepped through the entrance, the sounds of the market swelled around her – haggling vendors, the scent of incense and ozone, and the thrum of a power t…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "the figure intoned, its voice dripping with an unctuous tone" | | 1 | "she said, her voice firm" | | 2 | "he said, a smile playing on his lips" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |