| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1537 | | 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) | |
| 57.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1537 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flickered" | | 1 | "constructed" | | 2 | "velvet" | | 3 | "vibrated" | | 4 | "stomach" | | 5 | "whisper" | | 6 | "flicked" | | 7 | "scanned" | | 8 | "sanctuary" | | 9 | "weight" | | 10 | "shattered" | | 11 | "streaming" |
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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 | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1537 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1355 | | uniqueNames | 14 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Morris | 6 | | Raven | 2 | | Nest | 2 | | Quinn | 20 | | Tube | 1 | | London | 2 | | Underground | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 11 | | Seville | 1 | | Calm | 1 | | Market | 5 |
| | persons | | 0 | "Morris" | | 1 | "Raven" | | 2 | "Quinn" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Tomás" | | 7 | "Market" |
| | places | | | globalScore | 0.762 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 2 | | matches | | 0 | "e ones who had apparently claimed Morris" | | 1 | "shadows that seemed to reach for her" |
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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 | 1537 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 149 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 40.45 | | std | 23.12 | | cv | 0.572 | | sampleLengths | | 0 | 57 | | 1 | 5 | | 2 | 59 | | 3 | 59 | | 4 | 90 | | 5 | 66 | | 6 | 72 | | 7 | 50 | | 8 | 85 | | 9 | 40 | | 10 | 76 | | 11 | 38 | | 12 | 12 | | 13 | 42 | | 14 | 43 | | 15 | 41 | | 16 | 36 | | 17 | 20 | | 18 | 48 | | 19 | 42 | | 20 | 32 | | 21 | 18 | | 22 | 49 | | 23 | 63 | | 24 | 38 | | 25 | 13 | | 26 | 63 | | 27 | 28 | | 28 | 48 | | 29 | 14 | | 30 | 34 | | 31 | 18 | | 32 | 53 | | 33 | 7 | | 34 | 6 | | 35 | 62 | | 36 | 5 | | 37 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 135 | | matches | | 0 | "been pushed" | | 1 | "been offered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 237 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 149 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1360 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.03455882352941177 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006617647058823529 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 10.32 | | std | 5.71 | | cv | 0.554 | | sampleLengths | | 0 | 19 | | 1 | 11 | | 2 | 27 | | 3 | 5 | | 4 | 2 | | 5 | 13 | | 6 | 11 | | 7 | 16 | | 8 | 4 | | 9 | 13 | | 10 | 13 | | 11 | 5 | | 12 | 16 | | 13 | 3 | | 14 | 14 | | 15 | 8 | | 16 | 14 | | 17 | 16 | | 18 | 14 | | 19 | 6 | | 20 | 4 | | 21 | 18 | | 22 | 18 | | 23 | 4 | | 24 | 4 | | 25 | 27 | | 26 | 10 | | 27 | 2 | | 28 | 7 | | 29 | 12 | | 30 | 5 | | 31 | 10 | | 32 | 1 | | 33 | 19 | | 34 | 13 | | 35 | 4 | | 36 | 8 | | 37 | 12 | | 38 | 5 | | 39 | 18 | | 40 | 12 | | 41 | 12 | | 42 | 3 | | 43 | 15 | | 44 | 13 | | 45 | 22 | | 46 | 18 | | 47 | 17 | | 48 | 6 | | 49 | 9 |
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| 70.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.436241610738255 | | totalSentences | 149 | | uniqueOpeners | 65 | |
| 81.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 122 | | matches | | 0 | "Instead it teemed." | | 1 | "Further along, a man missing" | | 2 | "Instead he reached beneath the" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 122 | | matches | | 0 | "She gave chase, sharp jaw" | | 1 | "His silhouette cut left at" | | 2 | "She vaulted a stack of" | | 3 | "She knew the territory on" | | 4 | "He burst onto the high" | | 5 | "He plunged down a side" | | 6 | "She ignored it and descended" | | 7 | "Her torch beam caught odd" | | 8 | "She pressed her back to" | | 9 | "Her fingers tightened on the" | | 10 | "She brushed it aside." | | 11 | "He did not look surprised" | | 12 | "It looked fresher than the" | | 13 | "His curly dark hair fell" | | 14 | "She kept her gaze split" | | 15 | "She smelled copper again, stronger," | | 16 | "He lifted the leather case" | | 17 | "His eyes met hers directly" | | 18 | "He snatched a glowing vial" | | 19 | "He grabbed the suspect's arm," |
| | ratio | 0.205 | |
| 33.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 122 | | matches | | 0 | "Quinn's fingers closed on empty" | | 1 | "She gave chase, sharp jaw" | | 2 | "The man ahead dodged a" | | 3 | "His silhouette cut left at" | | 4 | "Quinn followed, breath steady, worn" | | 5 | "This one felt different." | | 6 | "The suspect moved like someone" | | 7 | "She vaulted a stack of" | | 8 | "Glass cracked under her boots." | | 9 | "The alley narrowed, brick walls" | | 10 | "Camden lay ahead." | | 11 | "She knew the territory on" | | 12 | "This runner seemed intent on" | | 13 | "He burst onto the high" | | 14 | "Quinn stayed ten metres back," | | 15 | "Whatever it held had triggered" | | 16 | "Silas had stonewalled her, of" | | 17 | "The barman always did." | | 18 | "The same instinct that had" | | 19 | "The suspect glanced back." |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 122 | | matches | (empty) | | ratio | 0 | |
| 70.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 7 | | matches | | 0 | "Her torch beam caught odd symbols spray-painted on the curved walls, lines that hurt to follow for too long." | | 1 | "A woman with too many joints in her fingers haggled over a tray of small glass spheres that swirled with captive smoke." | | 2 | "Further along, a man missing half his face offered phials of deep crimson liquid that moved against gravity." | | 3 | "Thick purple smoke erupted upward, burning her nostrils, clawing at her eyes." | | 4 | "Through streaming vision she saw Tomás vault the counter with surprising grace for a man who claimed only to treat the wounded." | | 5 | "Lanterns swung lower, casting long distorted shadows that seemed to reach for her." | | 6 | "Same people protecting the same secrets that had swallowed Morris whole." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Tomás muttered (mutter)" |
| | dialogueSentences | 24 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0.4 | | effectiveRatio | 0.167 | |