| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1418 | | totalAiIsmAdverbs | 2 | | 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) | |
| 50.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1418 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "depths" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "echoing" | | 4 | "etched" | | 5 | "intricate" | | 6 | "scanned" | | 7 | "echoed" | | 8 | "shattered" | | 9 | "flickered" | | 10 | "gloom" | | 11 | "maw" | | 12 | "grave" |
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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 | 105 | | matches | (empty) | |
| 34.01% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1417 | | ratio | 0.004 | | matches | | 0 | "Eva Kowalski. Research Assistant. Restricted Archives." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1093 | | uniqueNames | 15 | | maxNameDensity | 1.1 | | worstName | "Miller" | | maxWindowNameDensity | 2 | | worstWindowName | "Miller" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Miller | 12 | | Victorian | 2 | | North | 1 | | Tudor-era | 1 | | London | 1 | | British | 1 | | Museum | 1 | | Kowalski | 1 | | Assistant | 1 | | Veil | 2 | | Compass | 1 | | Glock | 1 | | Market | 2 |
| | persons | | | places | | | globalScore | 0.951 | | windowScore | 1 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "sigils that seemed to shimmer when my torchlight hit them" | | 1 | "sounded like dry leaves skittering over pa" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.706 | | wordCount | 1417 | | matches | | 0 | "not from the tunnel, but from beneath the floorboards of the world itself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 26.24 | | std | 19.63 | | cv | 0.748 | | sampleLengths | | 0 | 56 | | 1 | 3 | | 2 | 54 | | 3 | 4 | | 4 | 33 | | 5 | 42 | | 6 | 24 | | 7 | 47 | | 8 | 4 | | 9 | 8 | | 10 | 12 | | 11 | 73 | | 12 | 2 | | 13 | 36 | | 14 | 26 | | 15 | 31 | | 16 | 17 | | 17 | 14 | | 18 | 64 | | 19 | 2 | | 20 | 13 | | 21 | 74 | | 22 | 14 | | 23 | 4 | | 24 | 4 | | 25 | 42 | | 26 | 31 | | 27 | 22 | | 28 | 20 | | 29 | 65 | | 30 | 11 | | 31 | 6 | | 32 | 15 | | 33 | 19 | | 34 | 14 | | 35 | 37 | | 36 | 36 | | 37 | 9 | | 38 | 48 | | 39 | 19 | | 40 | 23 | | 41 | 37 | | 42 | 4 | | 43 | 13 | | 44 | 10 | | 45 | 41 | | 46 | 44 | | 47 | 25 | | 48 | 3 | | 49 | 37 |
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| 91.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 105 | | matches | | 0 | "were locked" | | 1 | "were made" | | 2 | "were plunged" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 182 | | matches | | 0 | "wasn't pointing" | | 1 | "were blaring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 131 | | ratio | 0.008 | | matches | | 0 | "Thick, dark crimson fluid seeped from between the bricks, pooling around my boots, and the screaming started—not from the tunnel, but from beneath the floorboards of the world itself." |
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| 70.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1103 | | adjectiveStacks | 5 | | stackExamples | | 0 | "heavy long black woollen coat" | | 1 | "heavy, pressing against my" | | 2 | "sudden sharp metallic click-" | | 3 | "tall thin pale figure" | | 4 | "dull, sickly yellow luminescence." |
| | adverbCount | 29 | | adverbRatio | 0.02629193109700816 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007252946509519492 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 10.82 | | std | 6.5 | | cv | 0.601 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 21 | | 3 | 3 | | 4 | 20 | | 5 | 12 | | 6 | 3 | | 7 | 19 | | 8 | 4 | | 9 | 33 | | 10 | 11 | | 11 | 9 | | 12 | 11 | | 13 | 3 | | 14 | 8 | | 15 | 15 | | 16 | 9 | | 17 | 5 | | 18 | 15 | | 19 | 4 | | 20 | 10 | | 21 | 11 | | 22 | 2 | | 23 | 4 | | 24 | 8 | | 25 | 12 | | 26 | 9 | | 27 | 16 | | 28 | 4 | | 29 | 5 | | 30 | 15 | | 31 | 24 | | 32 | 2 | | 33 | 6 | | 34 | 30 | | 35 | 13 | | 36 | 13 | | 37 | 2 | | 38 | 14 | | 39 | 15 | | 40 | 17 | | 41 | 14 | | 42 | 8 | | 43 | 13 | | 44 | 5 | | 45 | 14 | | 46 | 8 | | 47 | 16 | | 48 | 2 | | 49 | 13 |
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| 44.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3282442748091603 | | totalSentences | 131 | | uniqueOpeners | 43 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 96 | | matches | | 0 | "Only a faint, shimmering distortion" | | 1 | "Instead, a thick black smoke" |
| | ratio | 0.021 | |
| 32.50% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 96 | | matches | | 0 | "I dropped the final six" | | 1 | "He looked small against the" | | 2 | "I didn't answer." | | 3 | "I just tapped the worn" | | 4 | "It wasn't the sweet, cloyingly" | | 5 | "It smelled of ozone, burnt" | | 6 | "I knelt beside the man." | | 7 | "He wore a heavy long" | | 8 | "His skin looked wrong." | | 9 | "It possessed a translucent, waxy" | | 10 | "I didn't see a single" | | 11 | "I pulled back the lapel" | | 12 | "I didn't touch it." | | 13 | "It swung in a frantic," | | 14 | "I pointed at the compass" | | 15 | "He took a step back," | | 16 | "I shifted my focus to" | | 17 | "I pried them open carefully." | | 18 | "It felt unnaturally warm through" | | 19 | "I stood up, my sharp" |
| | ratio | 0.469 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 96 | | matches | | 0 | "The rusted ladder rungs bit" | | 1 | "I dropped the final six" | | 2 | "Dust motes danced in the" | | 3 | "Sergeant Miller stood twenty yards" | | 4 | "He looked small against the" | | 5 | "I didn't answer." | | 6 | "I just tapped the worn" | | 7 | "Miller gestured toward a crumpled" | | 8 | "The stench hit me before" | | 9 | "It wasn't the sweet, cloyingly" | | 10 | "This was sharp." | | 11 | "It smelled of ozone, burnt" | | 12 | "Miller said, pointing a gloved" | | 13 | "I knelt beside the man." | | 14 | "He wore a heavy long" | | 15 | "His skin looked wrong." | | 16 | "It possessed a translucent, waxy" | | 17 | "I didn't see a single" | | 18 | "I pulled back the lapel" | | 19 | "A small brass compass sat" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 96 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "He wore a heavy long black woollen coat that seemed too expensive for a vagrant." | | 1 | "The casing bore a thick green patina of verdigris, etched with tiny intricate protective sigils that seemed to shimmer when my torchlight hit them." | | 2 | "My watch began to hum, a low-frequency vibration that made the skin on my wrist itch." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "Miller stammered (stammer)" | | 1 | "I whispered (whisper)" | | 2 | "I barked (bark)" | | 3 | "Miller screamed (scream)" | | 4 | "I growled (growl)" |
| | dialogueSentences | 35 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.714 | | effectiveRatio | 0.286 | |