| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow peeled back [back]" |
| | dialogueSentences | 42 | | tagDensity | 0.548 | | leniency | 1 | | rawRatio | 0.043 | | effectiveRatio | 0.043 | |
| 96.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1412 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 43.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1412 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "vibrated" | | 1 | "rhythmic" | | 2 | "familiar" | | 3 | "gloom" | | 4 | "footsteps" | | 5 | "silk" | | 6 | "perfect" | | 7 | "silence" | | 8 | "scanning" | | 9 | "intricate" | | 10 | "etched" | | 11 | "quivered" | | 12 | "whisper" | | 13 | "magnetic" | | 14 | "pulse" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1411 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 945 | | uniqueNames | 14 | | maxNameDensity | 2.43 | | worstName | "Harlow" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Harlow" | | discoveredNames | | Northern | 1 | | Harlow | 23 | | Quinn | 1 | | Camden | 1 | | Miles | 1 | | Vance | 15 | | Kentish | 1 | | Town | 1 | | British | 1 | | Museum | 1 | | Kowalski | 2 | | Victorian | 2 | | Blitz | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Vance" | | 4 | "Kowalski" |
| | places | | 0 | "Kentish" | | 1 | "Town" | | 2 | "London" |
| | globalScore | 0.283 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1411 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.67 | | std | 20.06 | | cv | 0.654 | | sampleLengths | | 0 | 53 | | 1 | 27 | | 2 | 49 | | 3 | 29 | | 4 | 54 | | 5 | 21 | | 6 | 53 | | 7 | 33 | | 8 | 49 | | 9 | 17 | | 10 | 13 | | 11 | 37 | | 12 | 21 | | 13 | 16 | | 14 | 18 | | 15 | 61 | | 16 | 68 | | 17 | 31 | | 18 | 71 | | 19 | 10 | | 20 | 9 | | 21 | 58 | | 22 | 11 | | 23 | 48 | | 24 | 11 | | 25 | 33 | | 26 | 6 | | 27 | 54 | | 28 | 12 | | 29 | 7 | | 30 | 56 | | 31 | 33 | | 32 | 30 | | 33 | 11 | | 34 | 23 | | 35 | 56 | | 36 | 22 | | 37 | 32 | | 38 | 15 | | 39 | 2 | | 40 | 60 | | 41 | 13 | | 42 | 10 | | 43 | 8 | | 44 | 57 | | 45 | 3 |
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| 94.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 97 | | matches | | 0 | "been flagged" | | 1 | "was encrusted" | | 2 | "were etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 116 | | ratio | 0.009 | | matches | | 0 | "The iron hand pointed steadily, with absolute precision, toward the solid brick wall behind the debris pile—the wall that supposedly sealed off the deep-level shelters built during the Blitz." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 951 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.022082018927444796 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00946372239747634 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 12.16 | | std | 8.73 | | cv | 0.718 | | sampleLengths | | 0 | 23 | | 1 | 8 | | 2 | 22 | | 3 | 4 | | 4 | 4 | | 5 | 19 | | 6 | 17 | | 7 | 17 | | 8 | 15 | | 9 | 13 | | 10 | 16 | | 11 | 11 | | 12 | 13 | | 13 | 30 | | 14 | 9 | | 15 | 12 | | 16 | 12 | | 17 | 41 | | 18 | 5 | | 19 | 8 | | 20 | 1 | | 21 | 7 | | 22 | 12 | | 23 | 6 | | 24 | 10 | | 25 | 33 | | 26 | 14 | | 27 | 3 | | 28 | 13 | | 29 | 13 | | 30 | 21 | | 31 | 3 | | 32 | 15 | | 33 | 4 | | 34 | 2 | | 35 | 4 | | 36 | 12 | | 37 | 10 | | 38 | 8 | | 39 | 16 | | 40 | 9 | | 41 | 13 | | 42 | 23 | | 43 | 11 | | 44 | 24 | | 45 | 7 | | 46 | 1 | | 47 | 25 | | 48 | 21 | | 49 | 10 |
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| 51.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3620689655172414 | | totalSentences | 116 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 78 | | matches | | 0 | "She ducked beneath the sagging" | | 1 | "She checked her watch." | | 2 | "He turned at the sound" | | 3 | "He wore a heavy wool" | | 4 | "She jumped down into the" | | 5 | "She touched the wool sleeve" | | 6 | "She shone her own torch" | | 7 | "They were stiff." | | 8 | "She ran her gloved hand" | | 9 | "She stood up, her knee" | | 10 | "She turned her back on" | | 11 | "It smelled faintly of copper" | | 12 | "Her mind clicked back to" | | 13 | "She walked toward the pile" | | 14 | "She kicked aside a splintered" | | 15 | "Her boot struck something solid." | | 16 | "It didn't sound like brick." | | 17 | "It had the heavy, metallic" | | 18 | "She cleared away the gray" | | 19 | "Its casing was encrusted with" |
| | ratio | 0.385 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 78 | | matches | | 0 | "The hum of the Northern" | | 1 | "She ducked beneath the sagging" | | 2 | "Moisture clung to the curved," | | 3 | "Harlow adjusted her collar." | | 4 | "She checked her watch." | | 5 | "The worn leather strap felt" | | 6 | "A single halogen work light" | | 7 | "DC Miles Vance stood near" | | 8 | "He turned at the sound" | | 9 | "Vance said, gesturing toward the" | | 10 | "Harlow stepped to the edge" | | 11 | "The victim lay sprawled across" | | 12 | "He wore a heavy wool" | | 13 | "She jumped down into the" | | 14 | "Vance scrambled down after her," | | 15 | "Harlow knelt beside the body." | | 16 | "She touched the wool sleeve" | | 17 | "The damp only penetrated where" | | 18 | "She shone her own torch" | | 19 | "Vance countered, pointing upward" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "He wore a heavy wool overcoat with a silk lining, the fabric dark with moisture but remarkably free of the soot that coated every other surface in the redundant…" | | 1 | "The red-headed girl who spent her afternoons in the restricted archives of the British Museum." | | 2 | "The needle quivered against the glass face, straining toward the brickwork as if pulled by an invisible magnet." | | 3 | "The glass was clean, but micro-fractures spiderwebbed across the surface, radiating outward from the center as if the needle had struck the underside of the cas…" |
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| 81.52% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 2 | | matches | | 0 | "Harlow said, her voice dropping to a whisper" | | 1 | "Harlow interrupted, her voice snapping with military sharpness" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow repeated (repeat)" | | 1 | "Harlow interrupted (interrupt)" |
| | dialogueSentences | 42 | | tagDensity | 0.476 | | leniency | 0.952 | | rawRatio | 0.1 | | effectiveRatio | 0.095 | |