| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "His fingers tightened around [around]" |
| | dialogueSentences | 32 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0.333 | | effectiveRatio | 0.063 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1777 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 91.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1777 | | totalAiIsms | 3 | | 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 | 159 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 159 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1777 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1586 | | uniqueNames | 18 | | maxNameDensity | 1.2 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Herrera | 18 | | Quinn | 19 | | Camden | 3 | | High | 2 | | Street | 2 | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Saint | 1 | | Christopher | 1 | | Veil | 1 | | Market | 1 | | London | 1 | | Deptford | 1 | | Morris | 2 | | Tube | 1 | | Two | 3 | | Three | 3 |
| | persons | | 0 | "Herrera" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Soho" | | 5 | "London" | | 6 | "Two" |
| | globalScore | 0.901 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 118 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1777 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 188 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 19.11 | | std | 18.66 | | cv | 0.976 | | sampleLengths | | 0 | 25 | | 1 | 2 | | 2 | 31 | | 3 | 32 | | 4 | 86 | | 5 | 44 | | 6 | 36 | | 7 | 16 | | 8 | 6 | | 9 | 5 | | 10 | 61 | | 11 | 47 | | 12 | 6 | | 13 | 13 | | 14 | 31 | | 15 | 50 | | 16 | 5 | | 17 | 16 | | 18 | 3 | | 19 | 15 | | 20 | 27 | | 21 | 1 | | 22 | 6 | | 23 | 1 | | 24 | 22 | | 25 | 4 | | 26 | 4 | | 27 | 28 | | 28 | 10 | | 29 | 10 | | 30 | 4 | | 31 | 9 | | 32 | 29 | | 33 | 44 | | 34 | 3 | | 35 | 5 | | 36 | 7 | | 37 | 7 | | 38 | 5 | | 39 | 39 | | 40 | 6 | | 41 | 13 | | 42 | 2 | | 43 | 42 | | 44 | 88 | | 45 | 9 | | 46 | 25 | | 47 | 35 | | 48 | 5 | | 49 | 12 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 159 | | matches | | 0 | "been bored" | | 1 | "been chiselled" | | 2 | "was shaped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 257 | | matches | | |
| 51.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 6 | | flaggedSentences | 6 | | totalSentences | 188 | | ratio | 0.032 | | matches | | 0 | "A man outside a chicken shop raised his phone; behind him, rain silvered the window and turned the diners into pale, watching shapes." | | 1 | "A stitch tightened beneath her ribs; she shortened her stride and held the pain there." | | 2 | "His sleeve rode up as he wrenched free; the scar on his forearm stood white against his wet skin." | | 3 | "The bag struck the wall; something inside it chimed." | | 4 | "Each had placed it beneath London on the night of a full moon; each had named a different address." | | 5 | "Shoulders blocked the platform; elbows guarded purses, jars and faces." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1592 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.020100502512562814 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001256281407035176 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 9.45 | | std | 5.91 | | cv | 0.625 | | sampleLengths | | 0 | 12 | | 1 | 13 | | 2 | 2 | | 3 | 8 | | 4 | 23 | | 5 | 4 | | 6 | 17 | | 7 | 5 | | 8 | 6 | | 9 | 17 | | 10 | 8 | | 11 | 22 | | 12 | 14 | | 13 | 25 | | 14 | 14 | | 15 | 6 | | 16 | 7 | | 17 | 2 | | 18 | 15 | | 19 | 5 | | 20 | 31 | | 21 | 16 | | 22 | 6 | | 23 | 5 | | 24 | 3 | | 25 | 17 | | 26 | 22 | | 27 | 19 | | 28 | 6 | | 29 | 18 | | 30 | 5 | | 31 | 18 | | 32 | 6 | | 33 | 13 | | 34 | 9 | | 35 | 8 | | 36 | 14 | | 37 | 6 | | 38 | 10 | | 39 | 17 | | 40 | 17 | | 41 | 5 | | 42 | 16 | | 43 | 3 | | 44 | 4 | | 45 | 11 | | 46 | 15 | | 47 | 4 | | 48 | 8 | | 49 | 1 |
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| 53.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3404255319148936 | | totalSentences | 188 | | uniqueOpeners | 64 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 156 | | matches | | 0 | "Instead of stopping, he slapped" | | 1 | "Then she stepped inside." | | 2 | "Then came voices: bargaining, laughter," | | 3 | "Somewhere behind her, a stallholder" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 156 | | matches | | 0 | "He caught the handle before" | | 1 | "His trainers kicked water across" | | 2 | "He had twelve years and" | | 3 | "He would not abandon it." | | 4 | "It had hung flat against" | | 5 | "His left pumped at his" | | 6 | "He darted between two buses." | | 7 | "Her radio popped beneath the" | | 8 | "His file had given her" | | 9 | "He cut beneath a railway" | | 10 | "She caught its rim before" | | 11 | "She drove it aside and" | | 12 | "Its edge was uneven." | | 13 | "He looked back with his" | | 14 | "She came down the steps" | | 15 | "His fingers tightened around the" | | 16 | "Her fingers closed around the" | | 17 | "His sleeve rode up as" | | 18 | "He went through the door." | | 19 | "Her radio spoke against her" |
| | ratio | 0.269 | |
| 78.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 119 | | totalSentences | 156 | | matches | | 0 | "Tomás Herrera’s medical bag struck" | | 1 | "He caught the handle before" | | 2 | "His trainers kicked water across" | | 3 | "A man outside a chicken" | | 4 | "Quinn went after Herrera." | | 5 | "He had twelve years and" | | 6 | "He would not abandon it." | | 7 | "That mattered more than his" | | 8 | "It had hung flat against" | | 9 | "Quinn had followed his cab" | | 10 | "Herrera’s right hand gripped the" | | 11 | "His left pumped at his" | | 12 | "A stitch tightened beneath her" | | 13 | "He darted between two buses." | | 14 | "Quinn followed the horn of" | | 15 | "Her radio popped beneath the" | | 16 | "Herrera glanced back." | | 17 | "His file had given her" | | 18 | "Nothing in it had mentioned" | | 19 | "He cut beneath a railway" |
| | ratio | 0.763 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 156 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 2 | | matches | | 0 | "There was no sign above it, only a painted number that had weathered to two white strokes." | | 1 | "Officers sent to those addresses afterwards had found empty basements, bricked-up tunnels and, in one case, a dry cleaners that had occupied the building for el…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0 | | effectiveRatio | 0 | |