| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1119 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 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 | 1119 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "echoes" | | 3 | "footsteps" | | 4 | "silence" | | 5 | "scanning" | | 6 | "intricate" | | 7 | "pulse" | | 8 | "furrowed" | | 9 | "racing" | | 10 | "whisper" | | 11 | "resonated" | | 12 | "quickened" | | 13 | "shimmered" | | 14 | "echoed" | | 15 | "apprehension" | | 16 | "glint" | | 17 | "eyebrow" | | 18 | "calculating" | | 19 | "jaw clenched" | | 20 | "unsettled" | | 21 | "resolve" | | 22 | "raced" | | 23 | "could feel" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" | | 2 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 81.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1116 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 678 | | uniqueNames | 11 | | maxNameDensity | 3.69 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 25 | | Tube | 1 | | Camden | 1 | | Mark | 1 | | Thompson | 13 | | Veil | 1 | | Compass | 1 | | Market | 2 | | Stalls | 1 | | Jax | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Mark" | | 3 | "Thompson" | | 4 | "Stalls" | | 5 | "Jax" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "symbols that seemed to pulse with a faint glow" | | 1 | "as if weighing his options" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1116 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 23.74 | | std | 13.57 | | cv | 0.571 | | sampleLengths | | 0 | 65 | | 1 | 62 | | 2 | 27 | | 3 | 12 | | 4 | 26 | | 5 | 10 | | 6 | 39 | | 7 | 15 | | 8 | 38 | | 9 | 17 | | 10 | 18 | | 11 | 22 | | 12 | 20 | | 13 | 24 | | 14 | 45 | | 15 | 9 | | 16 | 4 | | 17 | 19 | | 18 | 15 | | 19 | 30 | | 20 | 12 | | 21 | 29 | | 22 | 28 | | 23 | 13 | | 24 | 13 | | 25 | 19 | | 26 | 28 | | 27 | 50 | | 28 | 16 | | 29 | 44 | | 30 | 9 | | 31 | 36 | | 32 | 24 | | 33 | 15 | | 34 | 17 | | 35 | 11 | | 36 | 20 | | 37 | 21 | | 38 | 20 | | 39 | 33 | | 40 | 10 | | 41 | 26 | | 42 | 9 | | 43 | 17 | | 44 | 16 | | 45 | 19 | | 46 | 44 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 85.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 100 | | ratio | 0.02 | | matches | | 0 | "The air hung heavy with the scent of damp concrete and something else—something metallic." | | 1 | "A faint sound caught her attention—a whisper, almost like a breeze." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 681 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.024963289280469897 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007342143906020558 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 11.16 | | std | 6.13 | | cv | 0.549 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 16 | | 3 | 20 | | 4 | 12 | | 5 | 14 | | 6 | 11 | | 7 | 25 | | 8 | 7 | | 9 | 14 | | 10 | 6 | | 11 | 8 | | 12 | 4 | | 13 | 5 | | 14 | 21 | | 15 | 3 | | 16 | 7 | | 17 | 33 | | 18 | 6 | | 19 | 7 | | 20 | 8 | | 21 | 20 | | 22 | 18 | | 23 | 9 | | 24 | 8 | | 25 | 4 | | 26 | 14 | | 27 | 10 | | 28 | 12 | | 29 | 13 | | 30 | 7 | | 31 | 5 | | 32 | 19 | | 33 | 17 | | 34 | 12 | | 35 | 11 | | 36 | 5 | | 37 | 9 | | 38 | 2 | | 39 | 2 | | 40 | 15 | | 41 | 4 | | 42 | 15 | | 43 | 14 | | 44 | 12 | | 45 | 4 | | 46 | 3 | | 47 | 9 | | 48 | 5 | | 49 | 24 |
| |
| 74.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45 | | totalSentences | 100 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "She adjusted her worn leather" | | 1 | "She knelt beside the corpse," | | 2 | "It was DS Mark Thompson," | | 3 | "He shifted his weight, glancing" | | 4 | "They moved deeper into the" | | 5 | "She paused, tilting her head." | | 6 | "she asked, her voice low" | | 7 | "She pressed her ear against" | | 8 | "She pulled out the Veil" | | 9 | "she said, determination flooding her" | | 10 | "She turned to Thompson, who" | | 11 | "They approached the stall, the" | | 12 | "His eyes sparkled with mischief" | | 13 | "he said, his voice smooth" | | 14 | "She glanced at Thompson, who" | | 15 | "she said, determination hardening her" | | 16 | "She could feel the weight" |
| | ratio | 0.254 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 67 | | matches | | 0 | "Detective Harlow Quinn stepped into" | | 1 | "The air hung heavy with" | | 2 | "She adjusted her worn leather" | | 3 | "A body lay sprawled on" | | 4 | "Quinn’s sharp jaw tightened as" | | 5 | "She knelt beside the corpse," | | 6 | "The victim, a young man," | | 7 | "a voice called from behind" | | 8 | "It was DS Mark Thompson," | | 9 | "Quinn straightened, her gaze fixed" | | 10 | "Thompson gestured toward the body." | | 11 | "Quinn’s eyes narrowed." | | 12 | "He shifted his weight, glancing" | | 13 | "Quinn’s voice dropped, her mind" | | 14 | "Thompson crouched beside her, his" | | 15 | "Quinn studied the body again," | | 16 | "Thompson shook his head." | | 17 | "Quinn’s voice sharpened" | | 18 | "Thompson suggested, his eyes darting" | | 19 | "Quinn stood, her mind racing." |
| | ratio | 0.955 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "The victim, a young man, had a strange mark on his wrist, a series of intricate symbols that seemed to pulse with a faint glow." | | 1 | "The whisper grew louder, a soft hum that resonated deep within her." | | 2 | "The world shifted around her, colors blending and twisting until she found herself in a dimly lit alleyway." | | 3 | "She turned to Thompson, who had followed her through, his expression a mix of awe and apprehension." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 12 | | matches | | 0 | "Quinn’s voice dropped, her mind racing" | | 1 | "Thompson crouched, his expression serious" | | 2 | "Thompson suggested, his eyes darting to the shadows" | | 3 | "she asked, her voice low" | | 4 | "Quinn stepped, her fingers brushing against the cold surface" | | 5 | "she said, determination flooding her veins" | | 6 | "Quinn said, her voice steady despite the chaos swirling around them" | | 7 | "he said, his voice smooth" | | 8 | "Quinn shot back, her patience wearing thin" | | 9 | "Quinn pressed, her heart racing" | | 10 | "Jax replied, a smirk creeping back onto his face" | | 11 | "she said, determination hardening her resolve" |
| |
| 71.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 4 | | fancyTags | | 0 | "Thompson suggested (suggest)" | | 1 | "She pressed (press)" | | 2 | "Quinn snapped (snap)" | | 3 | "Quinn pressed (press)" |
| | dialogueSentences | 51 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.267 | | effectiveRatio | 0.157 | |