| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "quickly" | | 1 | "slightly" | | 2 | "cautiously" |
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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) | |
| 47.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "skipped a beat" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "treacherous" | | 1 | "chilling" | | 2 | "unravel" | | 3 | "clandestine" | | 4 | "scanned" | | 5 | "skipped a beat" | | 6 | "familiar" | | 7 | "depths" | | 8 | "oppressive" | | 9 | "palpable" | | 10 | "weight" | | 11 | "determined" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 6 | | maxInWindow | 6 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "blood ran cold" | | count | 1 |
| | 2 | | label | "eyes widened/narrowed" | | count | 2 |
| | 3 | | label | "air was thick with" | | count | 2 |
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| | highlights | | 0 | "heart pounded in her chest" | | 1 | "blood ran cold" | | 2 | "eyes narrowed" | | 3 | "eyes widened" | | 4 | "The air was thick with" | | 5 | "the air was thick with" |
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| 89.91% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 4 | | narrationSentences | 95 | | matches | | 0 | "t in determination" | | 1 | "e with panic" | | 2 | "d in panic" | | 3 | "d in fear" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1241 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, they sighed, their shoulders slumping in defeat." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1036 | | uniqueNames | 13 | | maxNameDensity | 2.41 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 25 | | Morris | 2 | | Raven | 2 | | Nest | 2 | | London | 1 | | Veil | 2 | | Market | 2 | | Camden | 2 | | Herrera | 11 | | Tube | 2 | | Circle | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Market" | | 3 | "Tube" |
| | globalScore | 0.293 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1241 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 28.86 | | std | 19.1 | | cv | 0.662 | | sampleLengths | | 0 | 80 | | 1 | 73 | | 2 | 50 | | 3 | 45 | | 4 | 54 | | 5 | 50 | | 6 | 51 | | 7 | 42 | | 8 | 14 | | 9 | 4 | | 10 | 41 | | 11 | 8 | | 12 | 13 | | 13 | 22 | | 14 | 10 | | 15 | 12 | | 16 | 15 | | 17 | 10 | | 18 | 58 | | 19 | 44 | | 20 | 48 | | 21 | 44 | | 22 | 29 | | 23 | 38 | | 24 | 10 | | 25 | 22 | | 26 | 18 | | 27 | 14 | | 28 | 20 | | 29 | 18 | | 30 | 18 | | 31 | 15 | | 32 | 6 | | 33 | 40 | | 34 | 14 | | 35 | 28 | | 36 | 33 | | 37 | 16 | | 38 | 47 | | 39 | 40 | | 40 | 9 | | 41 | 3 | | 42 | 15 |
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| 94.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 95 | | matches | | 0 | "was known" | | 1 | "were traded" | | 2 | "was hidden" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 174 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 112 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1042 | | adjectiveStacks | 1 | | stackExamples | | 0 | "former paramedic turned underground healer." |
| | adverbCount | 32 | | adverbRatio | 0.030710172744721688 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.014395393474088292 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.08 | | std | 6.03 | | cv | 0.544 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 21 | | 3 | 27 | | 4 | 19 | | 5 | 11 | | 6 | 19 | | 7 | 24 | | 8 | 13 | | 9 | 9 | | 10 | 28 | | 11 | 8 | | 12 | 12 | | 13 | 7 | | 14 | 10 | | 15 | 8 | | 16 | 14 | | 17 | 13 | | 18 | 10 | | 19 | 17 | | 20 | 12 | | 21 | 18 | | 22 | 11 | | 23 | 9 | | 24 | 10 | | 25 | 7 | | 26 | 8 | | 27 | 11 | | 28 | 7 | | 29 | 5 | | 30 | 3 | | 31 | 21 | | 32 | 14 | | 33 | 7 | | 34 | 14 | | 35 | 4 | | 36 | 10 | | 37 | 14 | | 38 | 8 | | 39 | 9 | | 40 | 8 | | 41 | 13 | | 42 | 17 | | 43 | 5 | | 44 | 4 | | 45 | 6 | | 46 | 11 | | 47 | 1 | | 48 | 8 | | 49 | 7 |
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| 51.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3392857142857143 | | totalSentences | 112 | | uniqueOpeners | 38 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Finally, they sighed, their shoulders" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 92 | | matches | | 0 | "Her worn leather watch, a" | | 1 | "She ignored the discomfort, her" | | 2 | "She had been tracking this" | | 3 | "She rounded the corner just" | | 4 | "She had no jurisdiction here," | | 5 | "She shoved the door open" | | 6 | "She moved quickly, weaving through" | | 7 | "Her gaze landed on a" | | 8 | "She opened it, revealing a" | | 9 | "Her heart skipped a beat." | | 10 | "She had heard whispers of" | | 11 | "It moved locations every full" | | 12 | "She spun around, her hand" | | 13 | "He raised his hands in" | | 14 | "He glanced at the bone" | | 15 | "They left the bar together," | | 16 | "They moved quickly, the streets" | | 17 | "They descended into the depths," | | 18 | "They moved through the market," | | 19 | "They approached cautiously, using the" |
| | ratio | 0.272 | |
| 3.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 92 | | matches | | 0 | "Detective Harlow Quinn moved with" | | 1 | "Her worn leather watch, a" | | 2 | "The suspect, a shadowy figure" | | 3 | "Quinn’s salt-and-pepper hair clung to" | | 4 | "She ignored the discomfort, her" | | 5 | "She had been tracking this" | | 6 | "The supernatural whispers that had" | | 7 | "The suspect glanced back, eyes" | | 8 | "Quinn pushed harder, her breath" | | 9 | "She rounded the corner just" | | 10 | "Quinn hesitated for a fraction" | | 11 | "The Raven’s Nest was known" | | 12 | "She had no jurisdiction here," | | 13 | "She shoved the door open" | | 14 | "The bar was dimly lit," | | 15 | "The air was thick with" | | 16 | "Patrons turned to look at" | | 17 | "Quinn scanned the room, her" | | 18 | "She moved quickly, weaving through" | | 19 | "The door led to a" |
| | ratio | 0.913 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 99.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 3 | | matches | | 0 | "The suspect, a shadowy figure in a dark hoodie, darted ahead, slipping through the narrow alleys with the ease of someone who knew the city’s underbelly intimat…" | | 1 | "She had been tracking this lead for weeks, a thread that might unravel the mystery surrounding DS Morris’s death." | | 2 | "The supernatural whispers that had haunted her since that night three years ago had led her here, to this chase through the rain-soaked streets." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn demanded, her voice low and steady" | | 1 | "Herrera said, his voice earnest" | | 2 | "she demanded, her grip tight" | | 3 | "they spat, their eyes darting around in panic" | | 4 | "Quinn said, her voice sincere" | | 5 | "she said, her voice resolute" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn demanded (demand)" | | 1 | "Herrera whispered (whisper)" | | 2 | "she demanded (demand)" | | 3 | "they spat (spit)" | | 4 | "Quinn growled (growl)" |
| | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.625 | | effectiveRatio | 0.385 | |