| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 30 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0.063 | | effectiveRatio | 0.063 | |
| 89.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1419 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "gently" | | 2 | "very" |
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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) | |
| 36.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1419 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "shattered" | | 1 | "silence" | | 2 | "standard" | | 3 | "racing" | | 4 | "scanning" | | 5 | "glint" | | 6 | "complex" | | 7 | "etched" | | 8 | "trembled" | | 9 | "could feel" | | 10 | "echoing" | | 11 | "chill" | | 12 | "weight" |
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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 | 93 | | matches | (empty) | |
| 81.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 6 | | totalWords | 1417 | | ratio | 0.004 | | matches | | 0 | "heart failure" | | 1 | "standard" | | 2 | "The Veil Market." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1129 | | uniqueNames | 15 | | maxNameDensity | 1.42 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Harlow | 16 | | Quinn | 1 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 | | Morris | 2 | | Detective | 2 | | Inspector | 1 | | Miller | 10 | | Victorian | 1 | | Veil | 1 | | British | 1 | | Museum | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Inspector" | | 4 | "Miller" | | 5 | "Museum" | | 6 | "Kowalski" |
| | places | (empty) | | globalScore | 0.791 | | windowScore | 0.833 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "rune that seemed to draw the light away from her penlight" | | 1 | "looked like protective wards she’d seen i" |
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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 | 1417 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 33.74 | | std | 17.56 | | cv | 0.521 | | sampleLengths | | 0 | 24 | | 1 | 63 | | 2 | 29 | | 3 | 11 | | 4 | 37 | | 5 | 54 | | 6 | 66 | | 7 | 46 | | 8 | 53 | | 9 | 34 | | 10 | 31 | | 11 | 60 | | 12 | 34 | | 13 | 41 | | 14 | 24 | | 15 | 30 | | 16 | 3 | | 17 | 3 | | 18 | 54 | | 19 | 15 | | 20 | 29 | | 21 | 48 | | 22 | 10 | | 23 | 55 | | 24 | 37 | | 25 | 25 | | 26 | 34 | | 27 | 22 | | 28 | 55 | | 29 | 5 | | 30 | 50 | | 31 | 27 | | 32 | 8 | | 33 | 39 | | 34 | 51 | | 35 | 15 | | 36 | 53 | | 37 | 9 | | 38 | 52 | | 39 | 18 | | 40 | 31 | | 41 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 31.65% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 198 | | matches | | 0 | "were ticking" | | 1 | "was being" | | 2 | "was currently crouching" | | 3 | "wasn't pointing" | | 4 | "was already walking" |
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| 36.05% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 107 | | ratio | 0.037 | | matches | | 0 | "Since Morris had died three years ago—found in an alley with his eyes turned to ash and a report that read *heart failure*—she didn’t trust the word *standard* anymore." | | 1 | "Underneath the smell of decay, there was a faint, metallic tang—like brass and vinegar." | | 2 | "The needle spun violently, then locked onto a solid brick wall at the very back of the platform—a wall that looked distinctly newer than the Victorian brickwork around it." | | 3 | "This station wasn't empty; it was a shell hiding something else." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1138 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.022847100175746926 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006151142355008787 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 13.24 | | std | 7.67 | | cv | 0.579 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 13 | | 3 | 15 | | 4 | 17 | | 5 | 19 | | 6 | 10 | | 7 | 11 | | 8 | 18 | | 9 | 19 | | 10 | 16 | | 11 | 1 | | 12 | 5 | | 13 | 22 | | 14 | 10 | | 15 | 14 | | 16 | 23 | | 17 | 29 | | 18 | 17 | | 19 | 13 | | 20 | 16 | | 21 | 13 | | 22 | 40 | | 23 | 5 | | 24 | 18 | | 25 | 11 | | 26 | 7 | | 27 | 24 | | 28 | 19 | | 29 | 9 | | 30 | 32 | | 31 | 5 | | 32 | 11 | | 33 | 18 | | 34 | 8 | | 35 | 33 | | 36 | 8 | | 37 | 16 | | 38 | 17 | | 39 | 8 | | 40 | 5 | | 41 | 3 | | 42 | 3 | | 43 | 11 | | 44 | 8 | | 45 | 19 | | 46 | 6 | | 47 | 10 | | 48 | 15 | | 49 | 7 |
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| 53.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.37735849056603776 | | totalSentences | 106 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 62.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 89 | | matches | | 0 | "He looked pale, his fingers" | | 1 | "She tapped the glass face." | | 2 | "She walked past him, her" | | 3 | "She’d spent eighteen years with" | | 4 | "He was a broad-shouldered man" | | 5 | "He was currently crouching over" | | 6 | "He was a young man," | | 7 | "He lay on his side," | | 8 | "He pointed a gloved finger" | | 9 | "She didn't mind the damp" | | 10 | "She pulled a penlight from" | | 11 | "she said softly" | | 12 | "She kept her eyes locked" | | 13 | "He shone his own flashlight" | | 14 | "She reached out, her gloved" | | 15 | "She worked it free." | | 16 | "It was a fragment of" | | 17 | "She felt a sudden, thrumming" | | 18 | "She slipped the bone token" | | 19 | "She had seen references to" |
| | ratio | 0.393 | |
| 21.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 89 | | matches | | 0 | "The air three floors beneath" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "Posters of products from the" | | 3 | "A uniform constable stood guard" | | 4 | "He looked pale, his fingers" | | 5 | "Harlow asked, her voice clipping" | | 6 | "the constable said, gesturing toward" | | 7 | "Harlow’s left wrist twitched, and" | | 8 | "She tapped the glass face." | | 9 | "The hands were ticking, but" | | 10 | "She walked past him, her" | | 11 | "She’d spent eighteen years with" | | 12 | "The beam of her light" | | 13 | "He was a broad-shouldered man" | | 14 | "He was currently crouching over" | | 15 | "Miller said, not looking up" | | 16 | "Harlow stood over the victim." | | 17 | "He was a young man," | | 18 | "He lay on his side," | | 19 | "Harlow asked, her sharp jaw" |
| | ratio | 0.876 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 26.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 8 | | matches | | 0 | "He was a broad-shouldered man who wore his cynicism like a heavy coat." | | 1 | "He was a young man, dressed in a heavy tweed coat that seemed too expensive for a drifter." | | 2 | "She felt a sudden, thrumming vibration in her fingertips, a cold prickle that climbed up her arm." | | 3 | "The casing was heavy, coated in a thick, textured patina of verdigris that clung to the metal like ancient moss." | | 4 | "The needle spun violently, then locked onto a solid brick wall at the very back of the platform—a wall that looked distinctly newer than the Victorian brickwork…" | | 5 | "She remembered a name she'd pulled from a confidential informant's ledger two weeks ago, a scrap of paper detailing a shifting market that dealt in things that …" | | 6 | "Harlow looked back at Miller, who was already walking toward the exit, shivering and rubbing his arms against the underground chill." | | 7 | "A young woman she’d been tracking through academic circles, someone who knew more about the British Museum’s restricted archives than she should." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 7 | | matches | | 0 | "Harlow asked, her voice clipping the damp silence" | | 1 | "Miller said, not looking up as she slid under the tape" | | 2 | "Harlow asked, her sharp jaw tightening" | | 3 | "Miller muttered, though his voice lacked conviction" | | 4 | "Harlow said, her mind racing" | | 5 | "Harlow said, her eyes scanning the debris" | | 6 | "Miller called out, his voice echoing in the hollow space" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "Miller muttered (mutter)" | | 1 | "Miller called out (call out)" |
| | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0.154 | | effectiveRatio | 0.133 | |