| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.464 | | leniency | 0.929 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1194 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 83.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1194 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "flickered" | | 1 | "shimmered" | | 2 | "pulsed" | | 3 | "silk" |
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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 | 149 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 149 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 164 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 20.77% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 107 | | totalWords | 1194 | | ratio | 0.09 | | matches | | 0 | "Twenty-three years old. Violet eyes. Last seen wearing a red hoodie." | | 1 | "Not human." | | 2 | "Keep running, you bastard." | | 3 | "The market beneath the streets." | | 4 | "Morris's last entry, scrawled in shaky handwriting:" | | 5 | "Morris trusted me. I doubted him. He's dead." | | 6 | "A man with no eyes turned to watch her pass. A child with too many teeth grinned from beneath a table. The ground beneath her feet pulsed once, like a heartbeat." | | 7 | "Shit." | | 8 | "Police." | | 9 | "Through that door could be anything. A tunnel back to the surface. A room full of people who want me dead. A way into a world I don't understand." | | 10 | "He went through a door like this one." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1028 | | uniqueNames | 18 | | maxNameDensity | 1.65 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | Glock | 1 | | London | 1 | | Greek | 1 | | Street | 1 | | Helmand | 1 | | Soho | 1 | | Tuesday | 1 | | Three | 2 | | Marcus | 1 | | Morris | 6 | | Rain | 2 | | Black-painted | 1 | | Victorian | 1 | | Tube | 1 | | Violet | 3 | | Past | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Glock" | | 3 | "Marcus" | | 4 | "Morris" | | 5 | "Rain" | | 6 | "Violet" |
| | places | | 0 | "London" | | 1 | "Greek" | | 2 | "Street" | | 3 | "Helmand" | | 4 | "Soho" |
| | globalScore | 0.673 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a bundle of sticks wearing a" |
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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 | 1194 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 164 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 20.24 | | std | 14.92 | | cv | 0.737 | | sampleLengths | | 0 | 2 | | 1 | 45 | | 2 | 11 | | 3 | 47 | | 4 | 3 | | 5 | 9 | | 6 | 49 | | 7 | 30 | | 8 | 12 | | 9 | 28 | | 10 | 47 | | 11 | 35 | | 12 | 4 | | 13 | 22 | | 14 | 8 | | 15 | 9 | | 16 | 18 | | 17 | 16 | | 18 | 17 | | 19 | 26 | | 20 | 31 | | 21 | 7 | | 22 | 2 | | 23 | 46 | | 24 | 2 | | 25 | 27 | | 26 | 24 | | 27 | 30 | | 28 | 3 | | 29 | 15 | | 30 | 21 | | 31 | 4 | | 32 | 5 | | 33 | 20 | | 34 | 8 | | 35 | 11 | | 36 | 37 | | 37 | 55 | | 38 | 51 | | 39 | 15 | | 40 | 31 | | 41 | 3 | | 42 | 24 | | 43 | 40 | | 44 | 38 | | 45 | 1 | | 46 | 10 | | 47 | 33 | | 48 | 7 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 149 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 200 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 164 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1030 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.02621359223300971 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005825242718446602 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 164 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 164 | | mean | 7.28 | | std | 5.62 | | cv | 0.772 | | sampleLengths | | 0 | 2 | | 1 | 24 | | 2 | 21 | | 3 | 3 | | 4 | 2 | | 5 | 6 | | 6 | 15 | | 7 | 19 | | 8 | 13 | | 9 | 3 | | 10 | 6 | | 11 | 3 | | 12 | 16 | | 13 | 16 | | 14 | 6 | | 15 | 11 | | 16 | 15 | | 17 | 12 | | 18 | 3 | | 19 | 8 | | 20 | 4 | | 21 | 6 | | 22 | 4 | | 23 | 3 | | 24 | 13 | | 25 | 2 | | 26 | 7 | | 27 | 23 | | 28 | 13 | | 29 | 4 | | 30 | 9 | | 31 | 26 | | 32 | 4 | | 33 | 7 | | 34 | 2 | | 35 | 7 | | 36 | 3 | | 37 | 2 | | 38 | 1 | | 39 | 2 | | 40 | 3 | | 41 | 3 | | 42 | 9 | | 43 | 3 | | 44 | 1 | | 45 | 11 | | 46 | 2 | | 47 | 1 | | 48 | 10 | | 49 | 6 |
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| 64.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.43902439024390244 | | totalSentences | 164 | | uniqueOpeners | 72 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 120 | | matches | | 0 | "Then she found the case" | | 1 | "Then he stepped through and" | | 2 | "Then she stepped through the" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 120 | | matches | | 0 | "She'd been sitting on this" | | 1 | "He ran faster." | | 2 | "She'd chased worse across Helmand" | | 3 | "He straightened slowly." | | 4 | "His voice cracked" | | 5 | "He shook his head, backing" | | 6 | "He reached into his pocket" | | 7 | "His hand emerged holding a" | | 8 | "He pointed to a door" | | 9 | "She'd read about it in" | | 10 | "He pressed the bone token" | | 11 | "It swung inward on silent" | | 12 | "He stepped through." | | 13 | "He didn't come back." | | 14 | "She moved forward, stopped at" | | 15 | "I doubted him." | | 16 | "She pushed the door open" | | 17 | "She kept moving." | | 18 | "She murmured the words to" | | 19 | "He stopped at a stall" |
| | ratio | 0.242 | |
| 55.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 120 | | matches | | 0 | "Detective Harlow Quinn knew that" | | 1 | "The suspect's trainers squeaked against" | | 2 | "*Twenty-three years old." | | 3 | "The description from the file" | | 4 | "She'd been sitting on this" | | 5 | "The words were useless but" | | 6 | "He ran faster." | | 7 | "Quinn's boots hit the pavement" | | 8 | "She'd chased worse across Helmand" | | 9 | "This was just Soho on" | | 10 | "A group of tourists spilled" | | 11 | "The suspect ploughed through them," | | 12 | "Quinn followed, sidestepping." | | 13 | "The woman's companion swung a" | | 14 | "Quinn ducked, kept moving." | | 15 | "Bins lined the walls." | | 16 | "A cat scattered." | | 17 | "The suspect glanced back, and" | | 18 | "The only witness, a charity" | | 19 | "Quinn had him sectioned." |
| | ratio | 0.808 | |
| 41.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 120 | | matches | | 0 | "Now the ghost had flesh" |
| | ratio | 0.008 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "It swung inward on silent hinges, revealing a staircase that descended into darkness." | | 1 | "Something that looked like a bundle of sticks wearing a hat negotiated with a woman whose shadow moved independently." | | 2 | "Past a cage containing something that wept in a language Quinn almost understood." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "He pressed (press)" | | 1 | "She murmured (murmur)" |
| | dialogueSentences | 28 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 1 | | effectiveRatio | 0.143 | |