| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1161 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "gently" | | 2 | "slowly" | | 3 | "slightly" |
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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) | |
| 18.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1161 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "measured" | | 1 | "flicker" | | 2 | "footsteps" | | 3 | "scanning" | | 4 | "glint" | | 5 | "echo" | | 6 | "tracing" | | 7 | "flickered" | | 8 | "electric" | | 9 | "pulse" | | 10 | "pulsed" | | 11 | "database" | | 12 | "velvet" | | 13 | "etched" | | 14 | "glinting" | | 15 | "rhythmic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 139 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 139 | | filterMatches | (empty) | | hedgeMatches | | 0 | "happened to" | | 1 | "seem 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 | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 10 | | totalWords | 1144 | | ratio | 0.009 | | matches | | 0 | "things" | | 1 | "him" | | 2 | "request backup" | | 3 | "no unauthorized pursuit into unsecured zones" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1001 | | uniqueNames | 10 | | maxNameDensity | 0.7 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 7 | | Soho | 1 | | Met | 1 | | Morris | 2 | | Aldwych | 1 | | Glock | 1 | | Spanish | 1 | | Herrera | 1 | | Detective | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Met" | | 3 | "Morris" | | 4 | "Herrera" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "symbols that seemed to shift when she looked away" |
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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 | 1144 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 151 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 16.82 | | std | 19.17 | | cv | 1.14 | | sampleLengths | | 0 | 84 | | 1 | 3 | | 2 | 49 | | 3 | 4 | | 4 | 22 | | 5 | 11 | | 6 | 2 | | 7 | 25 | | 8 | 30 | | 9 | 6 | | 10 | 2 | | 11 | 15 | | 12 | 90 | | 13 | 5 | | 14 | 4 | | 15 | 7 | | 16 | 7 | | 17 | 18 | | 18 | 50 | | 19 | 2 | | 20 | 23 | | 21 | 2 | | 22 | 4 | | 23 | 88 | | 24 | 7 | | 25 | 10 | | 26 | 54 | | 27 | 6 | | 28 | 33 | | 29 | 5 | | 30 | 5 | | 31 | 20 | | 32 | 33 | | 33 | 5 | | 34 | 13 | | 35 | 3 | | 36 | 13 | | 37 | 10 | | 38 | 14 | | 39 | 7 | | 40 | 9 | | 41 | 10 | | 42 | 5 | | 43 | 13 | | 44 | 13 | | 45 | 30 | | 46 | 12 | | 47 | 18 | | 48 | 6 | | 49 | 11 |
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| 95.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 139 | | matches | | 0 | "was turned" | | 1 | "was gone" | | 2 | "been pried" | | 3 | "been crushed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 192 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 151 | | ratio | 0.099 | | matches | | 0 | "Ahead, the figure darted between two parked vans, a shadow wrapped in a hooded jacket, moving with the kind of desperate rhythm that spoke of guilt or fear—sometimes both." | | 1 | "A flicker in her peripheral—a glint where there shouldn’t be one." | | 2 | "She remembered the way the light on his helmet had flickered—then died." | | 3 | "But she’d seen the symbol carved into the tunnel wall behind where he fell—three intersecting spirals, glowing faintly before they faded." | | 4 | "She holstered her torch, checked her sidearm—Glock 17, loaded, safety off." | | 5 | "Smelled of mildew and something else—ozone, sharp and electric, like the moment before a storm breaks." | | 6 | "People—no, *things*—milled about." | | 7 | "Then she saw *him*—the suspect." | | 8 | "The vendor—hooded, face obscured—reached out with skeletal fingers, took it, then slid something across in return: a smooth, black stone etched with a spiral." | | 9 | "The man grabbed his arm—gently, but firm." | | 10 | "The taller one’s eyes—warm brown, sharp with recognition—locked onto hers." | | 11 | "As he stepped, she noticed the scar on his forearm—deep, jagged." | | 12 | "Before she could respond, a new sound rose from the market’s edge—a low, rhythmic chant." | | 13 | "The man—Herrera, she’d learn later—stepped in front of the boy." | | 14 | "And ran into the dark—toward the one man who claimed to know the truth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1022 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.029354207436399216 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008806262230919765 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 7.58 | | std | 5.96 | | cv | 0.786 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 22 | | 3 | 29 | | 4 | 3 | | 5 | 13 | | 6 | 15 | | 7 | 21 | | 8 | 4 | | 9 | 9 | | 10 | 4 | | 11 | 6 | | 12 | 2 | | 13 | 1 | | 14 | 11 | | 15 | 2 | | 16 | 16 | | 17 | 1 | | 18 | 1 | | 19 | 7 | | 20 | 9 | | 21 | 2 | | 22 | 6 | | 23 | 8 | | 24 | 5 | | 25 | 6 | | 26 | 2 | | 27 | 9 | | 28 | 6 | | 29 | 12 | | 30 | 4 | | 31 | 12 | | 32 | 4 | | 33 | 21 | | 34 | 2 | | 35 | 2 | | 36 | 1 | | 37 | 1 | | 38 | 10 | | 39 | 21 | | 40 | 5 | | 41 | 4 | | 42 | 7 | | 43 | 7 | | 44 | 11 | | 45 | 7 | | 46 | 5 | | 47 | 1 | | 48 | 16 | | 49 | 17 |
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| 62.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.41721854304635764 | | totalSentences | 151 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 112 | | matches | | 0 | "Then he was gone." | | 1 | "Then, with a breath, she" | | 2 | "Then she saw *him*—the suspect." | | 3 | "Then, hands shaking, pulled out" | | 4 | "Then he spoke again, quieter." |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 112 | | matches | | 0 | "Her breath came sharp and" | | 1 | "She didn’t slow." | | 2 | "He vanished down an alley" | | 3 | "She skidded to a stop," | | 4 | "She pulled out her torch," | | 5 | "She remembered the way the" | | 6 | "Her radio screamed static." | | 7 | "They found his body at" | | 8 | "She’d never spoken of it." | | 9 | "She holstered her torch, checked" | | 10 | "She moved silently, keeping to" | | 11 | "He placed a small cloth" | | 12 | "Her hand twitched toward the" | | 13 | "She couldn’t call it in." | | 14 | "She wouldn’t survive the report." | | 15 | "He spoke, low and urgent," | | 16 | "She pushed off the wall," | | 17 | "he said, voice calm" | | 18 | "she said, gun level" | | 19 | "She fired a warning shot" |
| | ratio | 0.241 | |
| 89.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 112 | | matches | | 0 | "Rain lashed against the uneven" | | 1 | "Her breath came sharp and" | | 2 | "The collar of her trench" | | 3 | "She didn’t slow." | | 4 | "A flash of movement, a" | | 5 | "He vanished down an alley" | | 6 | "Quinn followed, shoulder brushing wet" | | 7 | "She skidded to a stop," | | 8 | "A single overflowing bin." | | 9 | "A fire escape rusted into" | | 10 | "A flicker in her peripheral—a" | | 11 | "The faint echo of footsteps" | | 12 | "Quinn dropped to one knee," | | 13 | "Someone had been down here" | | 14 | "She pulled out her torch," | | 15 | "The beam pierced the black." | | 16 | "A ladder, vanishing into the" | | 17 | "The Met didn’t sanction descents" | | 18 | "Morris had gone first." | | 19 | "She remembered the way the" |
| | ratio | 0.741 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 112 | | matches | | 0 | "Now, her hand hovered over" | | 1 | "Just as he did, a" | | 2 | "Before she could respond, a" |
| | ratio | 0.027 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 2 | | matches | | 0 | "Ahead, the figure darted between two parked vans, a shadow wrapped in a hooded jacket, moving with the kind of desperate rhythm that spoke of guilt or fear—some…" | | 1 | "Canopies made of stitched-together tapestries hung overhead, painted with symbols that seemed to shift when she looked away." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |