| 7.69% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 5 | | adverbTags | | 0 | "The hood shifted slightly [slightly]" | | 1 | "The figure stepped aside [aside]" | | 2 | "The figure melted back [back]" | | 3 | "Tomás glanced around [around]" | | 4 | "He tensed suddenly [suddenly]" |
| | dialogueSentences | 52 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.25 | | effectiveRatio | 0.192 | |
| 82.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1402 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "nervously" | | 2 | "suddenly" |
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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) | |
| 67.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1402 | | totalAiIsms | 9 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "practiced ease" | | 1 | "pulse" | | 2 | "familiar" | | 3 | "velvet" | | 4 | "scanning" | | 5 | "quickened" | | 6 | "shimmered" |
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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 | 96 | | matches | (empty) | |
| 53.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "appeared to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1384 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1047 | | uniqueNames | 17 | | maxNameDensity | 2.39 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Tomás" | | discoveredNames | | Detective | 1 | | Quinn | 25 | | Camden | 2 | | High | 1 | | Street | 1 | | Glock | 1 | | London | 1 | | Underground | 1 | | Morris | 4 | | Met | 1 | | Market | 3 | | Veil | 1 | | Tomás | 10 | | Herrera | 1 | | Victorian | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Detective" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Met" | | 4 | "Market" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" |
| | globalScore | 0.306 | | windowScore | 0.167 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed carved from shadow itself" | | 1 | "something like hunger" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.723 | | wordCount | 1384 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 21.97 | | std | 15.05 | | cv | 0.685 | | sampleLengths | | 0 | 42 | | 1 | 22 | | 2 | 37 | | 3 | 35 | | 4 | 51 | | 5 | 55 | | 6 | 23 | | 7 | 55 | | 8 | 21 | | 9 | 50 | | 10 | 42 | | 11 | 8 | | 12 | 40 | | 13 | 53 | | 14 | 36 | | 15 | 26 | | 16 | 6 | | 17 | 11 | | 18 | 3 | | 19 | 26 | | 20 | 21 | | 21 | 14 | | 22 | 13 | | 23 | 8 | | 24 | 11 | | 25 | 25 | | 26 | 4 | | 27 | 18 | | 28 | 53 | | 29 | 34 | | 30 | 6 | | 31 | 6 | | 32 | 42 | | 33 | 20 | | 34 | 11 | | 35 | 14 | | 36 | 30 | | 37 | 4 | | 38 | 27 | | 39 | 8 | | 40 | 27 | | 41 | 9 | | 42 | 32 | | 43 | 5 | | 44 | 11 | | 45 | 7 | | 46 | 22 | | 47 | 2 | | 48 | 41 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 183 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 127 | | ratio | 0.079 | | matches | | 0 | "The suspect—a lanky man in a dark hoodie—glanced back once, his face ghostly white in the sodium streetlights." | | 1 | "The stairwell didn't lead to any tube station she recognized—the sign above it was weathered bronze, not the familiar London Underground roundel." | | 2 | "The air grew warmer, heavier with strange scents—incense, exotic spices, and something metallic that reminded her of blood." | | 3 | "She tucked her gun into its holster—visible weapons might cause more problems than they'd solve in an unknown situation—and slipped the bone token into her right hand." | | 4 | "The hall wasn't merely large; it was impossible—extending far beyond the buildings that should have bordered it." | | 5 | "Stalls sold items that shouldn't exist—bottles labeled \"Memories, Assorted,\" jars of what appeared to be miniature storms, weapons that shifted form as she looked at them." | | 6 | "\"Market security. They know what you are.\" Tomás pressed something into her hand—a small vial filled with dark liquid." | | 7 | "A commotion erupted several stalls away—shouting and the crash of breaking glass." | | 8 | "The suspect's face drained of color, but the vendor's eyes widened with recognition—and something like hunger." | | 9 | "Dozens of eyes turned in her direction—human eyes, inhuman eyes, eyes that shouldn't exist." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1064 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03101503759398496 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010338345864661654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.9 | | std | 6.26 | | cv | 0.575 | | sampleLengths | | 0 | 16 | | 1 | 12 | | 2 | 14 | | 3 | 13 | | 4 | 9 | | 5 | 18 | | 6 | 19 | | 7 | 10 | | 8 | 11 | | 9 | 14 | | 10 | 10 | | 11 | 7 | | 12 | 11 | | 13 | 23 | | 14 | 13 | | 15 | 20 | | 16 | 22 | | 17 | 6 | | 18 | 17 | | 19 | 7 | | 20 | 22 | | 21 | 14 | | 22 | 3 | | 23 | 9 | | 24 | 14 | | 25 | 7 | | 26 | 16 | | 27 | 16 | | 28 | 18 | | 29 | 10 | | 30 | 5 | | 31 | 27 | | 32 | 8 | | 33 | 5 | | 34 | 18 | | 35 | 17 | | 36 | 19 | | 37 | 15 | | 38 | 19 | | 39 | 3 | | 40 | 12 | | 41 | 15 | | 42 | 6 | | 43 | 8 | | 44 | 18 | | 45 | 6 | | 46 | 4 | | 47 | 7 | | 48 | 3 | | 49 | 13 |
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| 77.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.47244094488188976 | | totalSentences | 127 | | uniqueOpeners | 60 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 94 | | matches | | 0 | "She swore, skidding on wet" | | 1 | "Her fingers closed around the" | | 2 | "She approached the entrance, gun" | | 3 | "She tucked her gun into" | | 4 | "She'd dismissed it as urban" | | 5 | "She pushed forward into the" | | 6 | "His Saint Christopher medallion glinted" | | 7 | "She'd interviewed the former paramedic" | | 8 | "He gestured to a bag" | | 9 | "He tensed suddenly, looking past" | | 10 | "He nodded toward a distant" | | 11 | "She started forward" | | 12 | "Her suspect took advantage of" | | 13 | "She had a split-second to" |
| | ratio | 0.149 | |
| 7.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 94 | | matches | | 0 | "The bone token slipped from" | | 1 | "She swore, skidding on wet" | | 2 | "Her fingers closed around the" | | 3 | "Quinn shouted at the retreating" | | 4 | "Nobody who ran that fast" | | 5 | "The suspect—a lanky man in" | | 6 | "Recognition flashed across his features" | | 7 | "Quinn pursued, her leather shoes" | | 8 | "Rain pelted her face, plastering" | | 9 | "The man darted into an" | | 10 | "Quinn followed, pulse hammering in" | | 11 | "The passage was narrow, flanked" | | 12 | "Quinn slowed, her hand dropping" | | 13 | "The stairwell didn't lead to" | | 14 | "She approached the entrance, gun" | | 15 | "The bone token burned against" | | 16 | "The Met wrote it off" | | 17 | "Quinn knew better." | | 18 | "Morris wouldn't have abandoned his" | | 19 | "The token had turned up" |
| | ratio | 0.904 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "At its end, the suspect disappeared down a flight of stairs that shouldn't exist according to any city planning map she'd ever studied." | | 1 | "The hall wasn't merely large; it was impossible—extending far beyond the buildings that should have bordered it." | | 2 | "An underground black market for things that shouldn't exist, moving locations with each full moon." | | 3 | "Dozens of eyes turned in her direction—human eyes, inhuman eyes, eyes that shouldn't exist." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "Tomás stepped, his voice dropping" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn shouted (shout)" | | 1 | "Tomás pressed (press)" | | 2 | "Quinn called out (call out)" | | 3 | "the vendor hissed (hiss)" |
| | dialogueSentences | 52 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 1 | | effectiveRatio | 0.154 | |