| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1243 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "carefully" |
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| 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) | |
| 91.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1243 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1251 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1093 | | uniqueNames | 17 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 13 | | Tomás | 1 | | Herrera | 5 | | Brewer | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Morris | 4 | | Camden | 5 | | Spaniard | 1 | | Saint | 1 | | Christopher | 1 | | Fair | 1 | | Tube | 1 | | Well | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Morris" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Camden" | | 4 | "Fair" |
| | globalScore | 0.905 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "Something like the inside of a church that h" |
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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 | 1251 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 37.91 | | std | 28.28 | | cv | 0.746 | | sampleLengths | | 0 | 12 | | 1 | 77 | | 2 | 27 | | 3 | 48 | | 4 | 57 | | 5 | 100 | | 6 | 10 | | 7 | 75 | | 8 | 9 | | 9 | 25 | | 10 | 11 | | 11 | 45 | | 12 | 3 | | 13 | 70 | | 14 | 33 | | 15 | 19 | | 16 | 38 | | 17 | 57 | | 18 | 14 | | 19 | 6 | | 20 | 92 | | 21 | 19 | | 22 | 72 | | 23 | 22 | | 24 | 11 | | 25 | 77 | | 26 | 6 | | 27 | 59 | | 28 | 55 | | 29 | 9 | | 30 | 6 | | 31 | 61 | | 32 | 26 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 80 | | matches | | 0 | "was gone" | | 1 | "been buried" |
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| 57.40% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 187 | | matches | | 0 | "was slowly matching" | | 1 | "were heading" | | 2 | "was pulling" | | 3 | "was riding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 89 | | ratio | 0.067 | | matches | | 0 | "He glanced back once — warm brown eyes wide under the sodium glare of a streetlamp — and then he was gone again, vaulting a chained bicycle, vanishing into the mouth of an alley that smelled of bin juice and rain." | | 1 | "They stood facing each other across a patch of cracked pavement in front of a hoarding-covered building — an old Tube station, she saw now, one of the dead ones, the ones the city had swallowed and forgotten." | | 2 | "No — a token." | | 3 | "Quinn heard no click, no mechanism, nothing — but the gate swung inward, and beyond it yawned a stairwell descending into blackness, and from that blackness rose a smell she couldn't name: not damp, not rot, something older." | | 4 | "Every sensible instinct she owned — and she owned a full set, carefully maintained over forty-one years — told her to step back." | | 5 | "The darkness closed over her head like water, and somewhere far below, beyond the reach of the rain and the streetlamps and every rule she'd ever sworn to uphold, she heard it — faint, rising, impossible." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1088 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03860294117647059 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008272058823529412 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 14.06 | | std | 11.66 | | cv | 0.83 | | sampleLengths | | 0 | 12 | | 1 | 28 | | 2 | 20 | | 3 | 4 | | 4 | 25 | | 5 | 26 | | 6 | 1 | | 7 | 3 | | 8 | 4 | | 9 | 41 | | 10 | 2 | | 11 | 11 | | 12 | 15 | | 13 | 12 | | 14 | 17 | | 15 | 6 | | 16 | 48 | | 17 | 6 | | 18 | 40 | | 19 | 5 | | 20 | 5 | | 21 | 25 | | 22 | 31 | | 23 | 8 | | 24 | 11 | | 25 | 4 | | 26 | 5 | | 27 | 21 | | 28 | 4 | | 29 | 11 | | 30 | 6 | | 31 | 6 | | 32 | 3 | | 33 | 23 | | 34 | 4 | | 35 | 2 | | 36 | 1 | | 37 | 3 | | 38 | 21 | | 39 | 38 | | 40 | 1 | | 41 | 5 | | 42 | 5 | | 43 | 20 | | 44 | 13 | | 45 | 2 | | 46 | 4 | | 47 | 13 | | 48 | 12 | | 49 | 26 |
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| 87.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.550561797752809 | | totalSentences | 89 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 71 | | matches | | 0 | "Of course he didn't." | | 1 | "Then he stopped." | | 2 | "Of course it was Camden." |
| | ratio | 0.042 | |
| 90.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 71 | | matches | | 0 | "He was fast for a" | | 1 | "she shouted, because procedure demanded" | | 2 | "He didn't stop." | | 3 | "He glanced back once —" | | 4 | "Her shoulder clipped the alley" | | 5 | "Her worn leather watch, the" | | 6 | "He knew what she was." | | 7 | "Her hand went to where" | | 8 | "It was small, pale, and" | | 9 | "he threw back, and his" | | 10 | "They were heading north, she" | | 11 | "He stopped so abruptly that" | | 12 | "They stood facing each other" | | 13 | "He said her name like" | | 14 | "He was on the first" | | 15 | "He went down." | | 16 | "She could hear the desk" | | 17 | "She had no warrant, no" | | 18 | "She could see him at" | | 19 | "She thought about the gate." |
| | ratio | 0.324 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 71 | | matches | | 0 | "The rain came down in" | | 1 | "He was fast for a" | | 2 | "she shouted, because procedure demanded" | | 3 | "He didn't stop." | | 4 | "He glanced back once —" | | 5 | "Her shoulder clipped the alley" | | 6 | "Her worn leather watch, the" | | 7 | "A quiet Spaniard with a" | | 8 | "He knew what she was." | | 9 | "The alley spat them out" | | 10 | "Her hand went to where" | | 11 | "It was small, pale, and" | | 12 | "he threw back, and his" | | 13 | "They were heading north, she" | | 14 | "The rain thickened." | | 15 | "Quinn's cropped hair shed water" | | 16 | "Herrera was pulling away." | | 17 | "He stopped so abruptly that" | | 18 | "They stood facing each other" | | 19 | "Everything came back to Camden." |
| | ratio | 0.69 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "Ahead of her, Tomás Herrera cut left off Brewer Street, his dark curls plastered flat, his trainers slapping the wet pavement in a rhythm she was slowly matchin…" | | 1 | "He glanced back once — warm brown eyes wide under the sodium glare of a streetlamp — and then he was gone again, vaulting a chained bicycle, vanishing into the …" | | 2 | "A quiet Spaniard with a Saint Christopher medallion and a scarred forearm who patched up people who never appeared in any hospital's records, and who had just l…" | | 3 | "Something like the inside of a church that had been buried with its congregation still praying." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Herrera pressed (press)" |
| | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.4 | | effectiveRatio | 0.222 | |