| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1865 | | 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) | |
| 83.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1865 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flicker" | | 1 | "flicked" | | 2 | "glint" | | 3 | "echoed" | | 4 | "familiar" | | 5 | "glistening" |
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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 | 1 | | narrationSentences | 173 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 173 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 190 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1875 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1626 | | uniqueNames | 21 | | maxNameDensity | 0.86 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 14 | | Herrera | 10 | | Raven | 1 | | Nest | 1 | | Shaftesbury | 1 | | Met | 1 | | Greek | 1 | | Street | 1 | | Saint | 2 | | Christopher | 2 | | Wardour | 1 | | Camden | 1 | | Morris | 4 | | Euston | 1 | | Road | 1 | | Tube | 2 | | Veil | 2 | | Market | 2 | | English | 1 | | Seville | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "Market" |
| | places | | 0 | "Soho" | | 1 | "Shaftesbury" | | 2 | "Greek" | | 3 | "Street" | | 4 | "Euston" | | 5 | "Road" | | 6 | "Seville" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 1 | | matches | | 0 | "something like relief broke across his face" |
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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 | 1875 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 190 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 26.79 | | std | 19.98 | | cv | 0.746 | | sampleLengths | | 0 | 13 | | 1 | 12 | | 2 | 50 | | 3 | 16 | | 4 | 58 | | 5 | 25 | | 6 | 3 | | 7 | 21 | | 8 | 62 | | 9 | 32 | | 10 | 44 | | 11 | 7 | | 12 | 53 | | 13 | 29 | | 14 | 55 | | 15 | 9 | | 16 | 32 | | 17 | 27 | | 18 | 24 | | 19 | 19 | | 20 | 13 | | 21 | 10 | | 22 | 1 | | 23 | 54 | | 24 | 48 | | 25 | 8 | | 26 | 17 | | 27 | 43 | | 28 | 15 | | 29 | 25 | | 30 | 2 | | 31 | 41 | | 32 | 8 | | 33 | 4 | | 34 | 111 | | 35 | 35 | | 36 | 32 | | 37 | 47 | | 38 | 4 | | 39 | 41 | | 40 | 35 | | 41 | 19 | | 42 | 26 | | 43 | 1 | | 44 | 2 | | 45 | 73 | | 46 | 26 | | 47 | 26 | | 48 | 40 | | 49 | 15 |
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| 95.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 173 | | matches | | 0 | "was swallowed" | | 1 | "was fogged" | | 2 | "was overlaid" | | 3 | "been transformed" | | 4 | "was scared" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 275 | | matches | | 0 | "was screaming" | | 1 | "was standing" | | 2 | "were watching" |
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| 22.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 190 | | ratio | 0.042 | | matches | | 0 | "Quinn followed, close enough now to see the silver glint at his throat — his Saint Christopher medallion bouncing against his jacket as he moved." | | 1 | "The clique she knew existed but couldn't pin down — rich, insulated, untouchable." | | 2 | "He turned abruptly down a stairwell marked CAMDEN TOWN - NORTHERN LINE - CLOSED FOR ENGINEERING WORKS." | | 3 | "The familiar Tube smell — hot metal, brake dust, mold — was overlaid with something else." | | 4 | "No — not all people." | | 5 | "Things for sale that made no sense — jars of humming black liquid, feathers that moved on their own, bundles of bone tied with red string." | | 6 | "Even from here she could see what he pulled out — a small, yellowed disc of bone, pierced through." | | 7 | "Or — the third choice, the one that rose up from the empty, cold place where three years of unsolved grief had lived." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1625 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.024 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006153846153846154 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 190 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 190 | | mean | 9.87 | | std | 7.95 | | cv | 0.806 | | sampleLengths | | 0 | 13 | | 1 | 12 | | 2 | 29 | | 3 | 12 | | 4 | 9 | | 5 | 2 | | 6 | 3 | | 7 | 11 | | 8 | 12 | | 9 | 30 | | 10 | 1 | | 11 | 1 | | 12 | 1 | | 13 | 1 | | 14 | 12 | | 15 | 25 | | 16 | 3 | | 17 | 21 | | 18 | 3 | | 19 | 20 | | 20 | 9 | | 21 | 6 | | 22 | 24 | | 23 | 14 | | 24 | 17 | | 25 | 1 | | 26 | 19 | | 27 | 25 | | 28 | 7 | | 29 | 19 | | 30 | 7 | | 31 | 4 | | 32 | 23 | | 33 | 17 | | 34 | 7 | | 35 | 2 | | 36 | 3 | | 37 | 14 | | 38 | 7 | | 39 | 7 | | 40 | 13 | | 41 | 13 | | 42 | 1 | | 43 | 9 | | 44 | 8 | | 45 | 8 | | 46 | 13 | | 47 | 3 | | 48 | 17 | | 49 | 7 |
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| 45.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.3404255319148936 | | totalSentences | 188 | | uniqueOpeners | 64 | |
| 91.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 145 | | matches | | 0 | "Of course he knew her" | | 1 | "Instead he stepped closer, close" | | 2 | "Then, slowly, something like relief" | | 3 | "Then she followed him down" |
| | ratio | 0.028 | |
| 79.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 145 | | matches | | 0 | "Her target was twenty meters" | | 1 | "She'd known him on sight" | | 2 | "He'd been coming out of" | | 3 | "She'd watched Herrera push through" | | 4 | "He cut left, down a" | | 5 | "Her breath sawed in her" | | 6 | "She flicked her left wrist" | | 7 | "He burst out of the" | | 8 | "He hit Wardour and kept" | | 9 | "It hammered her closely cropped" | | 10 | "Her radio was at her" | | 11 | "They crossed Euston Road and" | | 12 | "Her lungs burned." | | 13 | "He turned abruptly down a" | | 14 | "she shouted down" | | 15 | "He'd gone in." | | 16 | "He'd gone in alone because" | | 17 | "She hadn't understood it then." | | 18 | "She still didn't." | | 19 | "She checked the watch again." |
| | ratio | 0.352 | |
| 80.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 145 | | matches | | 0 | "The rain in Soho came" | | 1 | "Harlow Quinn kept her head" | | 2 | "Her target was twenty meters" | | 3 | "Olive skin, short dark curls" | | 4 | "She'd known him on sight" | | 5 | "The off-the-books medic." | | 6 | "Seville-born, ex-NHS, license revoked for" | | 7 | "He'd been coming out of" | | 8 | "Quinn had been sitting across" | | 9 | "The light stained the wet" | | 10 | "She'd watched Herrera push through" | | 11 | "Quinn shouted, but her voice" | | 12 | "Herrera didn't stop." | | 13 | "He cut left, down a" | | 14 | "The alley stank of bin" | | 15 | "Her breath sawed in her" | | 16 | "She flicked her left wrist" | | 17 | "The worn leather watch on" | | 18 | "He burst out of the" | | 19 | "Quinn followed, close enough now" |
| | ratio | 0.759 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 145 | | matches | | 0 | "Now he ran." | | 1 | "If she lost him now," | | 2 | "Even from here she could" | | 3 | "If she let him disappear" | | 4 | "Or — the third choice," |
| | ratio | 0.034 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 1 | | matches | | 0 | "Things for sale that made no sense — jars of humming black liquid, feathers that moved on their own, bundles of bone tied with red string." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn shouted, but her voice was swallowed by a bus braking and the hiss of tires on wet asphalt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.167 | | effectiveRatio | 0.074 | |