| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 74.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1156 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "very" | | 3 | "loosely" |
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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) | |
| 87.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1156 | | 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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1166 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 903 | | uniqueNames | 9 | | maxNameDensity | 1.33 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Aldridge | 3 | | Quinn | 12 | | Morris | 1 | | Kowalski | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Kowalski" |
| | places | | 0 | "Chalk" | | 1 | "Farm" | | 2 | "Road" | | 3 | "Aldridge" |
| | globalScore | 0.836 | | windowScore | 0.667 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it hadn't moved in decades" | | 1 | "looked like someone had simply switched h" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.858 | | wordCount | 1166 | | matches | | 0 | "not north but back toward the circle of burned marks on the platform floor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 24.29 | | std | 26 | | cv | 1.071 | | sampleLengths | | 0 | 52 | | 1 | 38 | | 2 | 20 | | 3 | 59 | | 4 | 59 | | 5 | 3 | | 6 | 48 | | 7 | 35 | | 8 | 5 | | 9 | 4 | | 10 | 55 | | 11 | 8 | | 12 | 5 | | 13 | 5 | | 14 | 55 | | 15 | 96 | | 16 | 12 | | 17 | 50 | | 18 | 19 | | 19 | 6 | | 20 | 14 | | 21 | 4 | | 22 | 57 | | 23 | 15 | | 24 | 2 | | 25 | 2 | | 26 | 1 | | 27 | 18 | | 28 | 3 | | 29 | 9 | | 30 | 3 | | 31 | 2 | | 32 | 11 | | 33 | 105 | | 34 | 3 | | 35 | 16 | | 36 | 4 | | 37 | 2 | | 38 | 31 | | 39 | 27 | | 40 | 5 | | 41 | 5 | | 42 | 79 | | 43 | 32 | | 44 | 26 | | 45 | 10 | | 46 | 2 | | 47 | 44 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 76 | | matches | | 0 | "been disturbed" | | 1 | "been scrawled" | | 2 | "was covered" | | 3 | "been pressed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 140 | | matches | | 0 | "were folding" | | 1 | "were trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 106 | | ratio | 0.066 | | matches | | 0 | "The air carried the particular smell of old stations — rust, clay, stagnant water — but beneath it something else." | | 1 | "Not furniture that had always been there — the legs were folding, portable, the kind used at market stalls." | | 2 | "She'd seen marks like this before — not on any case file, not in any training manual." | | 3 | "The woman looked up as Quinn approached, and her expression did something complicated — a calculation happening just under the surface, the specific kind of alertness that people deployed when they were trying to appear less alert." | | 4 | "A pause — very brief, but it was there." | | 5 | "The face was covered in fine etched markings — not directional notations, not any cartographic convention she knew." | | 6 | "His palm showed a faint reddish mark at its centre — circular, like something hot had been pressed against it briefly." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 901 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03551609322974473 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008879023307436182 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 11 | | std | 9.12 | | cv | 0.829 | | sampleLengths | | 0 | 16 | | 1 | 29 | | 2 | 7 | | 3 | 38 | | 4 | 8 | | 5 | 12 | | 6 | 14 | | 7 | 20 | | 8 | 20 | | 9 | 2 | | 10 | 2 | | 11 | 1 | | 12 | 14 | | 13 | 2 | | 14 | 2 | | 15 | 20 | | 16 | 5 | | 17 | 3 | | 18 | 4 | | 19 | 9 | | 20 | 3 | | 21 | 20 | | 22 | 28 | | 23 | 15 | | 24 | 20 | | 25 | 5 | | 26 | 4 | | 27 | 17 | | 28 | 19 | | 29 | 10 | | 30 | 9 | | 31 | 8 | | 32 | 5 | | 33 | 5 | | 34 | 5 | | 35 | 22 | | 36 | 25 | | 37 | 3 | | 38 | 2 | | 39 | 1 | | 40 | 18 | | 41 | 4 | | 42 | 3 | | 43 | 17 | | 44 | 51 | | 45 | 6 | | 46 | 6 | | 47 | 6 | | 48 | 16 | | 49 | 10 |
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| 75.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.49056603773584906 | | totalSentences | 106 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 67 | | matches | | 0 | "he said, before she'd even" | | 1 | "His right hand was palm-up" | | 2 | "His face showed no distress." | | 3 | "He looked like someone had" | | 4 | "She didn't answer that." | | 5 | "She took out her torch" | | 6 | "She moved the beam slowly." | | 7 | "She crouched again." | | 8 | "She'd seen marks like this" | | 9 | "She kept her voice level" | | 10 | "He glanced toward the platform" | | 11 | "She was in her mid-twenties" | | 12 | "She moved the top books" | | 13 | "She turned it over." | | 14 | "She looked back at the" | | 15 | "His palm showed a faint" | | 16 | "She hadn't seen it from" | | 17 | "She walked back to the" | | 18 | "She kept her eyes on" | | 19 | "She stood, the compass still" |
| | ratio | 0.299 | |
| 49.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 67 | | matches | | 0 | "The call came through at" | | 1 | "The uniforms had cordoned off" | | 2 | "Quinn had to shoulder it" | | 3 | "DS Aldridge was already down" | | 4 | "he said, before she'd even" | | 5 | "Quinn crouched at the perimeter" | | 6 | "The abandoned platform stretched away" | | 7 | "The air carried the particular" | | 8 | "The man lay on his" | | 9 | "His right hand was palm-up" | | 10 | "His face showed no distress." | | 11 | "He looked like someone had" | | 12 | "Aldridge pulled out his notebook" | | 13 | "Quinn stood, moved along the" | | 14 | "She didn't answer that." | | 15 | "She took out her torch" | | 16 | "She moved the beam slowly." | | 17 | "The floor was gritty with" | | 18 | "She crouched again." | | 19 | "Each mark was different." |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 6 | | matches | | 0 | "The uniforms had cordoned off the access point behind a shuttered fish-and-chip shop on Chalk Farm Road, a rusted service door that looked like it hadn't moved …" | | 1 | "DS Aldridge was already down there, standing at the edge of the portable floodlights with his hands in his jacket pockets, studying the body with the particular…" | | 2 | "His right hand was palm-up at his side, fingers slightly curled, as though he'd been holding something when he fell." | | 3 | "The floor was gritty with dust that had been disturbed recently, footprints overlapping in multiple directions, too many to count or individualise." | | 4 | "The woman looked up as Quinn approached, and her expression did something complicated — a calculation happening just under the surface, the specific kind of ale…" | | 5 | "The woman had replaced her glasses on her nose and sat very still, watching Quinn with an expression that had graduated from calculation to something closer to …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |