| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "Static hissed back [back]" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | 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) | |
| 61.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "silence" | | 3 | "gloom" | | 4 | "echoed" | | 5 | "electric" | | 6 | "whisper" | | 7 | "flickered" |
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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 | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 141 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | 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 | 1313 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1251 | | uniqueNames | 11 | | maxNameDensity | 0.64 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Raven | 1 | | Nest | 1 | | Bateman | 1 | | Street | 1 | | Islington | 1 | | Glock | 3 | | Morris | 2 | | London | 1 | | Underground | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Glock" | | 4 | "Morris" |
| | places | | 0 | "Bateman" | | 1 | "Street" | | 2 | "Islington" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 2 | | matches | | 0 | "quite human" | | 1 | "looked like powdered glass" |
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| 47.68% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.523 | | wordCount | 1313 | | matches | | 0 | "not away from her, but towards a recessed doorway at the far end" | | 1 | "Not just damp, but heavy, thick with a silence" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 144 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 50.5 | | std | 29.6 | | cv | 0.586 | | sampleLengths | | 0 | 126 | | 1 | 41 | | 2 | 3 | | 3 | 99 | | 4 | 64 | | 5 | 63 | | 6 | 56 | | 7 | 49 | | 8 | 86 | | 9 | 50 | | 10 | 86 | | 11 | 47 | | 12 | 66 | | 13 | 72 | | 14 | 38 | | 15 | 7 | | 16 | 67 | | 17 | 10 | | 18 | 28 | | 19 | 26 | | 20 | 76 | | 21 | 18 | | 22 | 58 | | 23 | 31 | | 24 | 18 | | 25 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 141 | | matches | | 0 | "been picked" | | 1 | "being dragged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 193 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 144 | | ratio | 0.007 | | matches | | 0 | "Ahead, the figure—a man in a dark hoodie—slipped around the corner onto Bateman Street." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1258 | | adjectiveStacks | 2 | | stackExamples | | 0 | "sharp, cold white cone" | | 1 | "steep, metal-grated stairs" |
| | adverbCount | 26 | | adverbRatio | 0.02066772655007949 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 9.12 | | std | 6.27 | | cv | 0.688 | | sampleLengths | | 0 | 30 | | 1 | 14 | | 2 | 27 | | 3 | 7 | | 4 | 4 | | 5 | 35 | | 6 | 6 | | 7 | 1 | | 8 | 2 | | 9 | 16 | | 10 | 4 | | 11 | 4 | | 12 | 9 | | 13 | 8 | | 14 | 3 | | 15 | 20 | | 16 | 15 | | 17 | 9 | | 18 | 15 | | 19 | 9 | | 20 | 4 | | 21 | 8 | | 22 | 19 | | 23 | 14 | | 24 | 8 | | 25 | 9 | | 26 | 8 | | 27 | 8 | | 28 | 2 | | 29 | 6 | | 30 | 6 | | 31 | 3 | | 32 | 8 | | 33 | 25 | | 34 | 3 | | 35 | 5 | | 36 | 7 | | 37 | 15 | | 38 | 5 | | 39 | 5 | | 40 | 3 | | 41 | 3 | | 42 | 8 | | 43 | 5 | | 44 | 2 | | 45 | 5 | | 46 | 5 | | 47 | 7 | | 48 | 4 | | 49 | 4 |
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| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.2847222222222222 | | totalSentences | 144 | | uniqueOpeners | 41 | |
| 75.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 133 | | matches | | 0 | "Then he didn’t." | | 1 | "Just a faint, subterranean hum." | | 2 | "Then the figure spoke." |
| | ratio | 0.023 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 133 | | matches | | 0 | "She pushed off her back" | | 1 | "Her breath burned cold in" | | 2 | "she clamped down on the" | | 3 | "He was fast, weaving through" | | 4 | "He didn’t glance back." | | 5 | "He didn’t need to." | | 6 | "She was gaining, the gap" | | 7 | "He wouldn’t make it to" | | 8 | "He ducked left into a" | | 9 | "He sprinted, not away from" | | 10 | "He didn’t break stride." | | 11 | "His hand shot out, fiddling" | | 12 | "She ran a gloved hand" | | 13 | "He knew this way was" | | 14 | "He’d planned this." | | 15 | "She radioed in her position," | | 16 | "She tried again." | | 17 | "She thumped the unit against" | | 18 | "She looked at the door." | | 19 | "she shoved the memory away." |
| | ratio | 0.368 | |
| 69.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 133 | | matches | | 0 | "Rain lashed the pavement as" | | 1 | "She pushed off her back" | | 2 | "Her breath burned cold in" | | 3 | "This one had triggered something" | | 4 | "she clamped down on the" | | 5 | "He was fast, weaving through" | | 6 | "He didn’t glance back." | | 7 | "He didn’t need to." | | 8 | "She was gaining, the gap" | | 9 | "He wouldn’t make it to" | | 10 | "He ducked left into a" | | 11 | "Quinn followed, her right hand" | | 12 | "The alley stank of bin" | | 13 | "He sprinted, not away from" | | 14 | "A maintenance entrance, its door" | | 15 | "He didn’t break stride." | | 16 | "His hand shot out, fiddling" | | 17 | "A soft click, too clean" | | 18 | "Quinn skidded to a halt," | | 19 | "The door was seamless, part" |
| | ratio | 0.782 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 8 | | matches | | 0 | "Rain lashed the pavement as Harlow Quinn vaulted over a discarded newspaper bin, her boots splashing through a puddle that reflected the lurid green glow of The…" | | 1 | "This one had triggered something at a scene in Islington, something that smelled of old copper and ozone, something that made the hairs on her arms stand up in …" | | 2 | "He was fast, weaving through the late-night stragglers with a fluid grace that wasn’t quite human." | | 3 | "Not just damp, but heavy, thick with a silence that felt pressurised." | | 4 | "The rain’s drumming above sounded distant, muffled, as if they’d already gone deeper." | | 5 | "She descended, each step ringing with a hollow clang that echoed too far, too long." | | 6 | "Exposed pipes lined the ceiling, weeping condensation that dripped into shallow channels in the concrete floor." | | 7 | "She sprinkled something that sparked and fizzed from a clay pot onto a small, shimmering pile of what looked like powdered glass." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Static hissed back (hiss)" |
| | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |