| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn crouched again [again]" |
| | dialogueSentences | 35 | | tagDensity | 0.343 | | leniency | 0.686 | | rawRatio | 0.083 | | effectiveRatio | 0.057 | |
| 85.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1680 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lazily" | | 1 | "suddenly" | | 2 | "slowly" | | 3 | "softly" | | 4 | "utterly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 73.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1680 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "standard" | | 1 | "shattered" | | 2 | "etched" | | 3 | "magnetic" | | 4 | "weight" | | 5 | "familiar" | | 6 | "gleaming" | | 7 | "fractured" | | 8 | "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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 13 | | totalWords | 1680 | | ratio | 0.008 | | matches | | 0 | "Rifts Between the Seen and Unseen, 3rd ed." | | 1 | "A Treatise on Shade Craft." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1141 | | uniqueNames | 20 | | maxNameDensity | 1.67 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 19 | | Tube | 1 | | Camden | 2 | | Patel | 10 | | Town | 1 | | Market | 1 | | Morris | 4 | | Veil | 2 | | Compass | 1 | | Seen | 1 | | Unseen | 1 | | Oxford | 1 | | Aurora | 1 | | Vale | 1 | | British | 1 | | Museum | 1 | | Eva | 7 | | Treatise | 1 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Morris" | | 4 | "Museum" | | 5 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Oxford" | | 3 | "British" |
| | globalScore | 0.667 | | windowScore | 0.667 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "as though reaching for something" | | 1 | "looked like a displeased headmistress eve" | | 2 | "looked like chalk and blood mixed to a pa" |
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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 | 1680 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 34.29 | | std | 22.17 | | cv | 0.647 | | sampleLengths | | 0 | 73 | | 1 | 65 | | 2 | 74 | | 3 | 24 | | 4 | 38 | | 5 | 48 | | 6 | 14 | | 7 | 46 | | 8 | 60 | | 9 | 39 | | 10 | 22 | | 11 | 19 | | 12 | 96 | | 13 | 54 | | 14 | 3 | | 15 | 16 | | 16 | 17 | | 17 | 13 | | 18 | 41 | | 19 | 32 | | 20 | 12 | | 21 | 6 | | 22 | 20 | | 23 | 90 | | 24 | 28 | | 25 | 33 | | 26 | 55 | | 27 | 42 | | 28 | 38 | | 29 | 34 | | 30 | 17 | | 31 | 57 | | 32 | 28 | | 33 | 26 | | 34 | 34 | | 35 | 42 | | 36 | 33 | | 37 | 76 | | 38 | 10 | | 39 | 39 | | 40 | 14 | | 41 | 32 | | 42 | 8 | | 43 | 29 | | 44 | 6 | | 45 | 33 | | 46 | 20 | | 47 | 22 | | 48 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 191 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 140 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1148 | | adjectiveStacks | 1 | | stackExamples | | 0 | "pointed straight ahead, trembling" |
| | adverbCount | 35 | | adverbRatio | 0.03048780487804878 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009581881533101045 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 12 | | std | 8.8 | | cv | 0.733 | | sampleLengths | | 0 | 25 | | 1 | 25 | | 2 | 23 | | 3 | 18 | | 4 | 16 | | 5 | 31 | | 6 | 6 | | 7 | 7 | | 8 | 14 | | 9 | 5 | | 10 | 3 | | 11 | 18 | | 12 | 16 | | 13 | 5 | | 14 | 9 | | 15 | 15 | | 16 | 16 | | 17 | 22 | | 18 | 7 | | 19 | 2 | | 20 | 21 | | 21 | 18 | | 22 | 14 | | 23 | 6 | | 24 | 40 | | 25 | 17 | | 26 | 8 | | 27 | 10 | | 28 | 25 | | 29 | 2 | | 30 | 15 | | 31 | 17 | | 32 | 3 | | 33 | 2 | | 34 | 15 | | 35 | 7 | | 36 | 19 | | 37 | 13 | | 38 | 11 | | 39 | 16 | | 40 | 12 | | 41 | 21 | | 42 | 8 | | 43 | 15 | | 44 | 23 | | 45 | 7 | | 46 | 7 | | 47 | 4 | | 48 | 10 | | 49 | 2 |
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| 75.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4642857142857143 | | totalSentences | 140 | | uniqueOpeners | 65 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 105 | | matches | | 0 | "His torch beam sliced down," | | 1 | "She studied the dead man’s" | | 2 | "She tugged a pair of" | | 3 | "she muttered, more to herself" | | 4 | "She forced her face into" | | 5 | "He shrugged, the gesture too" | | 6 | "She stepped over a pile" | | 7 | "She palmed it before Patel" | | 8 | "Its weight felt familiar, like" | | 9 | "She rose and crossed to" | | 10 | "He followed, muttering under his" | | 11 | "She had read the report." | | 12 | "Her shoulders brushed cold tiles." | | 13 | "She risked a glance at" | | 14 | "They emerged into a wider" | | 15 | "She tucked hair behind her" | | 16 | "Her voice carried the precise" | | 17 | "She had run the name" | | 18 | "She forced her voice level." | | 19 | "She rose slowly, satchel strap" |
| | ratio | 0.21 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 105 | | matches | | 0 | "Detective Harlow Quinn crouched beside" | | 1 | "The abandoned Tube platform beneath" | | 2 | "Blood pooled beneath the victim," | | 3 | "DS Patel called from the" | | 4 | "His torch beam sliced down," | | 5 | "Quinn did not answer at" | | 6 | "She studied the dead man’s" | | 7 | "The needle still jutted from" | | 8 | "She tugged a pair of" | | 9 | "The barrel remained almost full." | | 10 | "she muttered, more to herself" | | 11 | "Patel descended the stairs, boots" | | 12 | "Quinn’s head snapped up at" | | 13 | "The words tasted metallic on" | | 14 | "She forced her face into" | | 15 | "He shrugged, the gesture too" | | 16 | "The body lay half-propped against" | | 17 | "Quinn followed the line of" | | 18 | "A small brass object glinted" | | 19 | "She stepped over a pile" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "Blood pooled beneath the victim, dark and viscous, yet the splatter patterns climbed the curved tunnel walls in deliberate arcs that defied gravity." | | 1 | "The body lay half-propped against a tiled pillar, one arm flung out as though reaching for something." | | 2 | "She rose and crossed to it, boots scattering tiny shards of mirror that reflected her own face back in fractured pieces." | | 3 | "Her voice carried the precise consonants of someone who had spent too many hours in Oxford libraries." | | 4 | "Eva glanced down as though surprised to find herself half-barefoot." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, more to herself than Patel" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.2 | | effectiveRatio | 0.057 | |