| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás agreed quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.083 | | effectiveRatio | 0.061 | |
| 92.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1365 | | totalAiIsmAdverbs | 2 | | 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) | |
| 96.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1365 | | totalAiIsms | 1 | | 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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1381 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1041 | | uniqueNames | 16 | | maxNameDensity | 1.06 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 11 | | Morris | 4 | | Tube | 1 | | Underground | 1 | | London | 1 | | America | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 4 | | Herrera | 1 | | Spanish | 1 | | Control | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Underground" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Tomás" | | 7 | "Herrera" | | 8 | "Control" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "America" | | 5 | "Spanish" |
| | globalScore | 0.972 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like the mouth of a disused Tube e" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1381 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 30.69 | | std | 27.31 | | cv | 0.89 | | sampleLengths | | 0 | 63 | | 1 | 3 | | 2 | 6 | | 3 | 66 | | 4 | 10 | | 5 | 65 | | 6 | 26 | | 7 | 46 | | 8 | 67 | | 9 | 10 | | 10 | 6 | | 11 | 75 | | 12 | 29 | | 13 | 8 | | 14 | 126 | | 15 | 9 | | 16 | 60 | | 17 | 60 | | 18 | 4 | | 19 | 2 | | 20 | 26 | | 21 | 6 | | 22 | 38 | | 23 | 26 | | 24 | 9 | | 25 | 7 | | 26 | 38 | | 27 | 9 | | 28 | 10 | | 29 | 55 | | 30 | 45 | | 31 | 32 | | 32 | 12 | | 33 | 8 | | 34 | 5 | | 35 | 6 | | 36 | 76 | | 37 | 5 | | 38 | 48 | | 39 | 24 | | 40 | 31 | | 41 | 5 | | 42 | 63 | | 43 | 29 | | 44 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 107 | | ratio | 0.103 | | matches | | 0 | "Ahead of her, a hooded figure cut between the stalls and the shuttered shops, boots hammering the wet pavement, and every few seconds the streetlights caught the thing clutched against his chest — a canvas bag she'd watched him take from the dead man's flat an hour ago." | | 1 | "He was already making mistakes — looking back too often, choosing the lit streets instead of the dark ones." | | 2 | "He ducked through a gap in the hoarding — a gap that hadn't been there a moment ago, she would have sworn it — and disappeared into what looked like the mouth of a disused Tube entrance." | | 3 | "Quinn drew her baton — she had no firearm, this was London, not America — and moved with the military precision drilled into her two decades ago, shoulder to the wall, eyes adjusting to a light that had no source she could find." | | 4 | "A market's murmur — haggling, laughter, the clink of glass — rising from below where there should have been only disused platforms and rats." | | 5 | "And the crowd — Quinn's detective brain catalogued them automatically and then quietly refused to file what it found." | | 6 | "A child — she hoped it was a child — sat on a stall counter swinging legs that ended in hooves." | | 7 | "Something shifted in his face — not fear, exactly." | | 8 | "A roar went up from somewhere deeper in the market — a crowd cheering something Quinn couldn't see, and the sound had a wrongness to it, too many voices in registers no human throat should reach." | | 9 | "She thought about the file, and the word unexplained, and the way the senior investigating officer had looked at her when she'd pushed — pity mixed with warning." | | 10 | "The professional calm stayed on his face, but it cost him something now; she could see the effort." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1034 | | adjectiveStacks | 2 | | stackExamples | | 0 | "Old, cream-coloured Underground" | | 1 | "short curly dark hair," |
| | adverbCount | 34 | | adverbRatio | 0.03288201160541586 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006769825918762089 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 12.91 | | std | 11.17 | | cv | 0.865 | | sampleLengths | | 0 | 15 | | 1 | 48 | | 2 | 3 | | 3 | 3 | | 4 | 3 | | 5 | 3 | | 6 | 24 | | 7 | 19 | | 8 | 17 | | 9 | 2 | | 10 | 1 | | 11 | 6 | | 12 | 4 | | 13 | 13 | | 14 | 9 | | 15 | 8 | | 16 | 35 | | 17 | 15 | | 18 | 8 | | 19 | 3 | | 20 | 9 | | 21 | 37 | | 22 | 9 | | 23 | 1 | | 24 | 11 | | 25 | 21 | | 26 | 20 | | 27 | 2 | | 28 | 3 | | 29 | 6 | | 30 | 2 | | 31 | 2 | | 32 | 6 | | 33 | 10 | | 34 | 7 | | 35 | 43 | | 36 | 15 | | 37 | 3 | | 38 | 2 | | 39 | 24 | | 40 | 8 | | 41 | 23 | | 42 | 19 | | 43 | 7 | | 44 | 19 | | 45 | 17 | | 46 | 20 | | 47 | 21 | | 48 | 3 | | 49 | 6 |
| |
| 72.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.48598130841121495 | | totalSentences | 107 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 75 | | matches | | 0 | "Nowhere to go." | | 1 | "Then the boy did something" | | 2 | "Somewhere in there was the" |
| | ratio | 0.04 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 75 | | matches | | 0 | "He didn't stop." | | 1 | "They never did." | | 2 | "She was forty-one, and the" | | 3 | "He was already making mistakes" | | 4 | "Her worn leather watch pressed" | | 5 | "Her radio crackled at her" | | 6 | "She ripped it off and" | | 7 | "He ducked through a gap" | | 8 | "Her hand went to her" | | 9 | "she muttered, and went down" | | 10 | "She heard voices." | | 11 | "She stood at the tunnel" | | 12 | "He wore a Saint Christopher" | | 13 | "His gaze flicked to her" | | 14 | "He held his hands loose" | | 15 | "She thought about Morris." | | 16 | "She thought about the file," | | 17 | "She thought about how she'd" | | 18 | "Her suspect was down there" | | 19 | "He studied her for a" |
| | ratio | 0.333 | |
| 33.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 75 | | matches | | 0 | "The rain came sideways off" | | 1 | "He didn't stop." | | 2 | "They never did." | | 3 | "Quinn's lungs burned." | | 4 | "She was forty-one, and the" | | 5 | "He was already making mistakes" | | 6 | "Her worn leather watch pressed" | | 7 | "Her radio crackled at her" | | 8 | "She ripped it off and" | | 9 | "Control had told her twice" | | 10 | "Control hadn't seen what was" | | 11 | "Control hadn't seen Morris's face" | | 12 | "The suspect veered left, down" | | 13 | "Quinn smiled despite the burn" | | 14 | "He ducked through a gap" | | 15 | "Quinn skidded to a stop" | | 16 | "A station that wasn't on" | | 17 | "The roundel beside the entrance" | | 18 | "Her hand went to her" | | 19 | "she muttered, and went down" |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 7 | | matches | | 0 | "Control hadn't seen Morris's face three years ago either, that grey slackness, the shape his body had made against the warehouse floor, the file that said unexp…" | | 1 | "A station that wasn't on any map she knew, and she knew Camden the way she knew her own case files." | | 2 | "A market's murmur — haggling, laughter, the clink of glass — rising from below where there should have been only disused platforms and rats." | | 3 | "Stalls leaned against the tiled walls, built from driftwood and scaffolding poles and things that might have been bones." | | 4 | "Ahead: the suspect, somewhere in that throng, with a dead man's bag and answers to three years of questions that had hollowed her out." | | 5 | "Olive skin, short curly dark hair, warm brown eyes that assessed her the way she assessed crime scenes." | | 6 | "Twenty metres into a market that shouldn't exist, in a crowd of things that weren't people, in a place her warrant card meant less than nothing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Tomás agreed quietly (agree)" | | 2 | "He pressed (press)" |
| | dialogueSentences | 33 | | tagDensity | 0.212 | | leniency | 0.424 | | rawRatio | 0.429 | | effectiveRatio | 0.182 | |