| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 885 | | totalAiIsmAdverbs | 1 | | 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) | |
| 54.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 885 | | totalAiIsms | 8 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "practiced ease" | | 1 | "familiar" | | 2 | "gloom" | | 3 | "echoing" | | 4 | "footsteps" | | 5 | "raced" |
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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 | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 76 | | matches | | 0 | "e with fear" | | 1 | "d in terror" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | 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 | 11 | | markdownWords | 32 | | totalWords | 874 | | ratio | 0.037 | | matches | | 0 | "Too familiar," | | 1 | "Like he's done this before." | | 2 | "Abandoned," | | 3 | "Like the rumors said." | | 4 | "Someone's been busy." | | 5 | "The Market." | | 6 | "Eighteen years," | | 7 | "You've handled worse than this." | | 8 | "Shit." | | 9 | "Eighteen years," | | 10 | "And it never gets old." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 764 | | uniqueNames | 7 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Soho | 1 | | Warren | 1 | | Street | 1 | | Veil | 2 | | Market | 4 |
| | persons | | | places | | | globalScore | 0.518 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like bottled shadows, sending vial" |
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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 | 874 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 24.28 | | std | 16.76 | | cv | 0.69 | | sampleLengths | | 0 | 53 | | 1 | 15 | | 2 | 31 | | 3 | 44 | | 4 | 3 | | 5 | 60 | | 6 | 7 | | 7 | 38 | | 8 | 7 | | 9 | 16 | | 10 | 14 | | 11 | 16 | | 12 | 50 | | 13 | 3 | | 14 | 44 | | 15 | 2 | | 16 | 48 | | 17 | 10 | | 18 | 9 | | 19 | 57 | | 20 | 31 | | 21 | 14 | | 22 | 37 | | 23 | 1 | | 24 | 42 | | 25 | 29 | | 26 | 8 | | 27 | 17 | | 28 | 11 | | 29 | 25 | | 30 | 27 | | 31 | 12 | | 32 | 26 | | 33 | 27 | | 34 | 25 | | 35 | 15 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 76 | | matches | | 0 | "was marked" | | 1 | "were rusted" | | 2 | "been bottled" | | 3 | "was outnumbered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 144 | | matches | | 0 | "was gaining" | | 1 | "was speaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 86 | | ratio | 0.093 | | matches | | 0 | "The suspect—a thin man in a dark hoodie—moved with the practiced ease of someone who knew these back alleys intimately." | | 1 | "The suspect was gaining distance, but Quinn had something he didn't—experience." | | 2 | "The air down here smelled of damp concrete and something else—ozone and incense." | | 3 | "But beneath the decay, Quinn could see signs of recent activity—fresh chalk marks on the walls, recent footprints in the grime, and the telltale glimmer of magical wards." | | 4 | "Creatures of every description haggled and bartered—some human, some decidedly not." | | 5 | "He turned to face Quinn, his hood falling back to reveal a young face—barely more than a teenager—pale with fear." | | 6 | "More figures emerged from the shadows—hooded, armed with weapons that glowed with malevolent energy." | | 7 | "But she had something they didn't—the law, and the element of surprise." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 775 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.02193548387096774 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012903225806451613 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 10.16 | | std | 5.52 | | cv | 0.543 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 20 | | 3 | 10 | | 4 | 5 | | 5 | 17 | | 6 | 6 | | 7 | 8 | | 8 | 11 | | 9 | 15 | | 10 | 6 | | 11 | 12 | | 12 | 3 | | 13 | 17 | | 14 | 15 | | 15 | 14 | | 16 | 4 | | 17 | 10 | | 18 | 3 | | 19 | 4 | | 20 | 8 | | 21 | 10 | | 22 | 13 | | 23 | 7 | | 24 | 5 | | 25 | 2 | | 26 | 4 | | 27 | 12 | | 28 | 14 | | 29 | 16 | | 30 | 9 | | 31 | 13 | | 32 | 28 | | 33 | 3 | | 34 | 13 | | 35 | 19 | | 36 | 12 | | 37 | 2 | | 38 | 6 | | 39 | 17 | | 40 | 25 | | 41 | 5 | | 42 | 5 | | 43 | 9 | | 44 | 9 | | 45 | 12 | | 46 | 10 | | 47 | 11 | | 48 | 15 | | 49 | 13 |
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| 63.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4186046511627907 | | totalSentences | 86 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "*Too familiar,* Quinn thought, her" | | 1 | "Finally, the suspect cornered himself" | | 2 | "Then, slowly, the figures began" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 72 | | matches | | 0 | "She rounded a corner, nearly" | | 1 | "she barked, flashing her badge" | | 2 | "He'd make for the tube" | | 3 | "It was the only logical" | | 4 | "She was right." | | 5 | "Her radio crackled to life." | | 6 | "She keyed the mic." | | 7 | "She clicked off the radio" | | 8 | "She moved deeper into the" | | 9 | "*You've handled worse than this.*" | | 10 | "She drew her sidearm and" | | 11 | "He was speaking to a" | | 12 | "He shoved past a stall" | | 13 | "They passed vendors selling everything" | | 14 | "He turned to face Quinn," | | 15 | "She took a step closer" | | 16 | "she shouted, her voice echoing" |
| | ratio | 0.236 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 72 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots splashed" | | 2 | "The suspect—a thin man in" | | 3 | "She rounded a corner, nearly" | | 4 | "she barked, flashing her badge" | | 5 | "The man stumbled aside, and" | | 6 | "The suspect was gaining distance," | | 7 | "He'd make for the tube" | | 8 | "It was the only logical" | | 9 | "She was right." | | 10 | "The hooded figure vaulted over" | | 11 | "Quinn followed, her hand instinctively" | | 12 | "The entrance to the station" | | 13 | "The ticket barriers were rusted," | | 14 | "The suspect had vanished into" | | 15 | "Quinn paused at the threshold," | | 16 | "The air down here smelled" | | 17 | "The distinctive scent of the" | | 18 | "Her radio crackled to life." | | 19 | "She keyed the mic." |
| | ratio | 0.75 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "*And it never gets old.*" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "The suspect—a thin man in a dark hoodie—moved with the practiced ease of someone who knew these back alleys intimately." | | 1 | "He was speaking to a figure in a hooded robe, exchanging something that glinted in the magical light." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she shouted, her voice echoing in the tunnel" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "he whispered (whisper)" | | 2 | "he whispered (whisper)" | | 3 | "she shouted (shout)" |
| | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |