| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1573 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 49.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1573 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "shattered" | | 1 | "maw" | | 2 | "silence" | | 3 | "treacherous" | | 4 | "vibrated" | | 5 | "constructed" | | 6 | "porcelain" | | 7 | "velvet" | | 8 | "cacophony" | | 9 | "pulsed" | | 10 | "echoing" | | 11 | "gloom" | | 12 | "charged" |
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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 | 109 | | matches | (empty) | |
| 64.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1560 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1425 | | uniqueNames | 13 | | maxNameDensity | 1.68 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 24 | | Tube | 1 | | Camden | 2 | | Morris | 1 | | London | 2 | | Underground | 1 | | Veil | 1 | | Market | 1 | | Internal | 1 | | Affairs | 1 | | Eastern | 1 | | European | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "Internal" |
| | globalScore | 0.658 | | windowScore | 0.5 | |
| 92.53% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 2 | | matches | | 0 | "silence that seemed to swallow the sound of the city above" | | 1 | "looked like people—milled about in cloaks" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.641 | | wordCount | 1560 | | matches | | 0 | "not to help her, but to block her path" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 40 | | std | 25.12 | | cv | 0.628 | | sampleLengths | | 0 | 115 | | 1 | 14 | | 2 | 70 | | 3 | 67 | | 4 | 64 | | 5 | 16 | | 6 | 67 | | 7 | 87 | | 8 | 3 | | 9 | 66 | | 10 | 44 | | 11 | 71 | | 12 | 4 | | 13 | 49 | | 14 | 37 | | 15 | 3 | | 16 | 47 | | 17 | 42 | | 18 | 31 | | 19 | 29 | | 20 | 27 | | 21 | 26 | | 22 | 20 | | 23 | 47 | | 24 | 40 | | 25 | 25 | | 26 | 23 | | 27 | 60 | | 28 | 6 | | 29 | 56 | | 30 | 19 | | 31 | 37 | | 32 | 28 | | 33 | 55 | | 34 | 16 | | 35 | 69 | | 36 | 20 | | 37 | 47 | | 38 | 13 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "was obscured" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 240 | | matches | (empty) | |
| 94.84% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 119 | | ratio | 0.017 | | matches | | 0 | "People—or things that looked like people—milled about in cloaks of varying textures, some shimmering like oil on water, others rough and burlap-like." | | 1 | "The suspect waved a small, white object—a bone token, Quinn realized with a jolt of recognition from a briefing file she had stolen from Internal Affairs." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1438 | | adjectiveStacks | 1 | | stackExamples | | 0 | "against cold, wet metal." |
| | adverbCount | 18 | | adverbRatio | 0.012517385257301807 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0034770514603616135 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 13.11 | | std | 7.19 | | cv | 0.548 | | sampleLengths | | 0 | 29 | | 1 | 28 | | 2 | 4 | | 3 | 19 | | 4 | 35 | | 5 | 14 | | 6 | 14 | | 7 | 21 | | 8 | 12 | | 9 | 23 | | 10 | 11 | | 11 | 5 | | 12 | 25 | | 13 | 6 | | 14 | 5 | | 15 | 15 | | 16 | 4 | | 17 | 9 | | 18 | 15 | | 19 | 4 | | 20 | 16 | | 21 | 13 | | 22 | 3 | | 23 | 11 | | 24 | 5 | | 25 | 6 | | 26 | 4 | | 27 | 16 | | 28 | 23 | | 29 | 18 | | 30 | 18 | | 31 | 10 | | 32 | 17 | | 33 | 20 | | 34 | 22 | | 35 | 3 | | 36 | 29 | | 37 | 11 | | 38 | 26 | | 39 | 5 | | 40 | 15 | | 41 | 24 | | 42 | 7 | | 43 | 24 | | 44 | 26 | | 45 | 14 | | 46 | 4 | | 47 | 3 | | 48 | 18 | | 49 | 4 |
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| 41.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.31092436974789917 | | totalSentences | 119 | | uniqueOpeners | 37 | |
| 61.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 109 | | matches | | 0 | "Just a heavy, unnatural silence" | | 1 | "Then he saw her." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 109 | | matches | | 0 | "She hit the ground rolling," | | 1 | "She drew her service weapon," | | 2 | "He reached the chain-link fence" | | 3 | "She checked her watch." | | 4 | "He never came out." | | 5 | "She had seen the look" | | 6 | "She grabbed a jut of" | | 7 | "Her hand hovered near her" | | 8 | "They watched her with eyes" | | 9 | "She spotted the suspect twenty" | | 10 | "He had stopped at a" | | 11 | "He shoved the token into" | | 12 | "His eyes widened." | | 13 | "He dropped the package and" | | 14 | "She ducked under a swinging" | | 15 | "He laughed, a brittle, hysterical" | | 16 | "She rounded the pillar and" | | 17 | "Her heart hammered against her" | | 18 | "It was a young man," | | 19 | "he stammered, his accent thick," |
| | ratio | 0.266 | |
| 1.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 109 | | matches | | 0 | "Glass shattered under Harlow Quinn's" | | 1 | "The suspect, a lanky figure" | | 2 | "Quinn did not hesitate." | | 3 | "She hit the ground rolling," | | 4 | "Rain lashed against her face," | | 5 | "Quinn barked, her voice lost" | | 6 | "She drew her service weapon," | | 7 | "This one moved with a" | | 8 | "He reached the chain-link fence" | | 9 | "Quinn skidded to a halt" | | 10 | "Mud sucked at her trainers." | | 11 | "The drop led down a" | | 12 | "She checked her watch." | | 13 | "The worn leather strap felt" | | 14 | "He never came out." | | 15 | "The official report called it" | | 16 | "She had seen the look" | | 17 | "A flash of movement deep" | | 18 | "The suspect was still running." | | 19 | "Quinn holstered her weapon and" |
| | ratio | 0.917 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Now, standing at the threshold," |
| | ratio | 0.009 | |
| 46.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 9 | | matches | | 0 | "Glass shattered under Harlow Quinn's boot as she vaulted the low brick wall, her breath tearing from her lungs in ragged gasps that tasted of diesel and wet woo…" | | 1 | "Eighteen years on the force taught her that suspects who ran this hard either carried something deadly or feared something worse." | | 2 | "The drop led down a concrete embankment slick with algae and rain runoff, disappearing into a tunnel mouth that smelled of stale air and ozone." | | 3 | "Just a heavy, unnatural silence that seemed to swallow the sound of the city above." | | 4 | "People—or things that looked like people—milled about in cloaks of varying textures, some shimmering like oil on water, others rough and burlap-like." | | 5 | "A towering figure with skin like cracked porcelain guarded the entryway, holding a staff topped with a human skull that blinked its empty sockets at her." | | 6 | "They watched her with eyes that held too many pupils or no pupils at all, their gazes weighing her soul rather than her badge." | | 7 | "Quinn stuck her arm through the gap, grabbing at the empty air, her fingers brushing the cold iron." | | 8 | "Quinn ducked, the wood whistling over her head, and drove her elbow into the gut of the moth-woman who tried to grab her from the side." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "he stammered, his accent thick, perhaps Eastern European" | | 1 | "Quinn took, her boots clicking on the stone floor" | | 2 | "Quinn said, her voice steady despite the sudden drop in temperature" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn barked (bark)" | | 1 | "he stammered (stammer)" | | 2 | "the old man repeated (repeat)" | | 3 | "Quinn shouted (shout)" |
| | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.571 | | effectiveRatio | 0.381 | |