| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.553 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1394 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "carefully" | | 2 | "very" | | 3 | "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) | |
| 56.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1394 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "intensity" | | 1 | "gloom" | | 2 | "echoing" | | 3 | "pristine" | | 4 | "synthetic" | | 5 | "standard" | | 6 | "intricate" | | 7 | "magnetic" | | 8 | "vibrated" | | 9 | "echoed" |
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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 | 1 | | narrationSentences | 98 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1394 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1015 | | uniqueNames | 16 | | maxNameDensity | 1.97 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 20 | | Miller | 10 | | Camden | 1 | | Vance | 3 | | London | 3 | | Morris | 2 | | Eva | 2 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Veil | 1 | | Compass | 1 | | Metropolitan | 1 | | Board | 1 | | Works | 1 | | Underground | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Miller" | | 2 | "Vance" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Compass" | | 7 | "Works" |
| | places | | | globalScore | 0.515 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1394 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 26.81 | | std | 16.96 | | cv | 0.633 | | sampleLengths | | 0 | 11 | | 1 | 48 | | 2 | 36 | | 3 | 31 | | 4 | 14 | | 5 | 43 | | 6 | 51 | | 7 | 58 | | 8 | 8 | | 9 | 52 | | 10 | 12 | | 11 | 3 | | 12 | 4 | | 13 | 46 | | 14 | 23 | | 15 | 22 | | 16 | 28 | | 17 | 68 | | 18 | 6 | | 19 | 27 | | 20 | 59 | | 21 | 26 | | 22 | 12 | | 23 | 6 | | 24 | 60 | | 25 | 6 | | 26 | 32 | | 27 | 38 | | 28 | 3 | | 29 | 25 | | 30 | 34 | | 31 | 45 | | 32 | 25 | | 33 | 21 | | 34 | 21 | | 35 | 16 | | 36 | 5 | | 37 | 2 | | 38 | 35 | | 39 | 44 | | 40 | 22 | | 41 | 35 | | 42 | 11 | | 43 | 24 | | 44 | 25 | | 45 | 21 | | 46 | 46 | | 47 | 8 | | 48 | 23 | | 49 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1023 | | adjectiveStacks | 3 | | stackExamples | | 0 | "beautiful small old round brass" | | 1 | "lovely small old brown leather" | | 2 | "exact same jagged defensive sigils" |
| | adverbCount | 29 | | adverbRatio | 0.028347996089931573 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01466275659824047 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12.12 | | std | 7.44 | | cv | 0.613 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 15 | | 3 | 19 | | 4 | 6 | | 5 | 15 | | 6 | 15 | | 7 | 15 | | 8 | 11 | | 9 | 5 | | 10 | 14 | | 11 | 14 | | 12 | 5 | | 13 | 24 | | 14 | 4 | | 15 | 13 | | 16 | 13 | | 17 | 21 | | 18 | 21 | | 19 | 37 | | 20 | 8 | | 21 | 5 | | 22 | 12 | | 23 | 17 | | 24 | 18 | | 25 | 12 | | 26 | 3 | | 27 | 4 | | 28 | 10 | | 29 | 2 | | 30 | 13 | | 31 | 13 | | 32 | 8 | | 33 | 23 | | 34 | 7 | | 35 | 15 | | 36 | 10 | | 37 | 18 | | 38 | 5 | | 39 | 6 | | 40 | 13 | | 41 | 7 | | 42 | 22 | | 43 | 15 | | 44 | 6 | | 45 | 15 | | 46 | 8 | | 47 | 4 | | 48 | 10 | | 49 | 22 |
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| 57.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.391304347826087 | | totalSentences | 115 | | uniqueOpeners | 45 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Instead, the faint aroma of" | | 1 | "Instead, intricate defensive sigils, jagged" |
| | ratio | 0.023 | |
| 85.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 86 | | matches | | 0 | "Her boots hit the damp" | | 1 | "She clicked on her high-intensity" | | 2 | "It smelled of stagnant water," | | 3 | "He adjusted his coat, shivering." | | 4 | "He wore an expensive dark" | | 5 | "His face was a mask" | | 6 | "She knelt beside the body." | | 7 | "Her closely cropped salt-and-pepper hair" | | 8 | "She pulled a pair of" | | 9 | "She leaned closer, inhaling deeply." | | 10 | "She had smelled this exact" | | 11 | "She slid her gloved hand" | | 12 | "Her fingers brushed against something" | | 13 | "She pulled it out." | | 14 | "It was a beautiful small" | | 15 | "She remembered her session interviewing" | | 16 | "It spun in a frantic" | | 17 | "She stood up, holding the" | | 18 | "She took three steps toward" | | 19 | "It vibrated violently, humming with" |
| | ratio | 0.337 | |
| 41.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 86 | | matches | | 0 | "Harlow Quinn ignored DS Miller's" | | 1 | "Her boots hit the damp" | | 2 | "London's subterranean dust, thick with" | | 3 | "She clicked on her high-intensity" | | 4 | "The beam cut through the" | | 5 | "It smelled of stagnant water," | | 6 | "Quinn asked, her sharp voice" | | 7 | "Miller said, sliding down the" | | 8 | "He adjusted his coat, shivering." | | 9 | "Quinn approached the body." | | 10 | "Julian Vance sat propped against" | | 11 | "He wore an expensive dark" | | 12 | "His face was a mask" | | 13 | "Miller declared, pointing his torch" | | 14 | "She knelt beside the body." | | 15 | "Her closely cropped salt-and-pepper hair" | | 16 | "She pulled a pair of" | | 17 | "Quinn pointed her beam at" | | 18 | "Miller bent down, his leather" | | 19 | "The fingertips of Vance’s gloves" |
| | ratio | 0.837 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | 0 | "Yet, through the translucent material" |
| | ratio | 0.012 | |
| 97.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 3 | | matches | | 0 | "It vibrated violently, humming with a low frequency that hummed through the bones of her hand." | | 1 | "The center of the archway buckled inward, the ancient bricks shifting and sliding backward into an impossible yawning void that had not existed a second ago." | | 2 | "In the sudden gloom, the only light came from the brick void, a sickly violet glow that revealed the silhouettes of tall, thin figures standing just beyond the …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn asked, her sharp voice echoing off the curved ceiling" | | 1 | "Quinn asked, her voice cracking like a whip" | | 2 | "Miller said, dismissively" | | 3 | "Quinn said, her sharp jaw tightening" | | 4 | "Miller said, his voice rising in frustration" | | 5 | "Quinn ordered, her grip tightening on her weapon" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 8 | | fancyTags | | 0 | "Miller declared (declare)" | | 1 | "Quinn murmured (murmur)" | | 2 | "Miller sighed (sigh)" | | 3 | "Quinn snapped (snap)" | | 4 | "Quinn whispered (whisper)" | | 5 | "Miller gasped (gasp)" | | 6 | "Quinn shouted (shout)" | | 7 | "Quinn ordered (order)" |
| | dialogueSentences | 38 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.5 | | effectiveRatio | 0.421 | |