| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn knelt again [again]" | | 1 | "Quinn crouched again [again]" |
| | dialogueSentences | 52 | | tagDensity | 0.423 | | leniency | 0.846 | | rawRatio | 0.091 | | effectiveRatio | 0.077 | |
| 71.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1219 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "lazily" | | 4 | "very" |
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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) | |
| 71.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1219 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pristine" | | 1 | "magnetic" | | 2 | "traced" | | 3 | "etched" | | 4 | "unreadable" | | 5 | "raced" | | 6 | "glint" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 11 | | totalWords | 1226 | | ratio | 0.009 | | matches | | 0 | "Brass wire, 2 metres. Silver powder, 1 oz. Veil Compass components." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 22.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 746 | | uniqueNames | 8 | | maxNameDensity | 2.55 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 19 | | Kowalski | 1 | | Pritchard | 6 | | Eva | 9 | | Italian | 1 | | Compass | 1 | | Paid | 1 | | Camden | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Kowalski" | | 2 | "Pritchard" | | 3 | "Eva" | | 4 | "Italian" | | 5 | "Compass" |
| | places | | | globalScore | 0.227 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1226 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 24.52 | | std | 17.01 | | cv | 0.694 | | sampleLengths | | 0 | 30 | | 1 | 23 | | 2 | 36 | | 3 | 42 | | 4 | 4 | | 5 | 1 | | 6 | 35 | | 7 | 31 | | 8 | 9 | | 9 | 13 | | 10 | 65 | | 11 | 29 | | 12 | 13 | | 13 | 55 | | 14 | 45 | | 15 | 39 | | 16 | 3 | | 17 | 60 | | 18 | 6 | | 19 | 42 | | 20 | 26 | | 21 | 6 | | 22 | 27 | | 23 | 9 | | 24 | 9 | | 25 | 39 | | 26 | 34 | | 27 | 16 | | 28 | 48 | | 29 | 20 | | 30 | 3 | | 31 | 8 | | 32 | 33 | | 33 | 8 | | 34 | 51 | | 35 | 18 | | 36 | 43 | | 37 | 1 | | 38 | 40 | | 39 | 8 | | 40 | 18 | | 41 | 8 | | 42 | 29 | | 43 | 31 | | 44 | 46 | | 45 | 25 | | 46 | 5 | | 47 | 9 | | 48 | 19 | | 49 | 8 |
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| 98.70% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 107 | | matches | | 0 | "was rumpled" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 127 | | matches | | |
| 37.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 136 | | ratio | 0.037 | | matches | | 0 | "No wallet in sight, but his watch remained – a chunky stainless-steel thing that caught the portable lamp’s glare." | | 1 | "Defensive wounds, maybe, but the dust around him told a different story – footprints were concentrated near the door, then a single set leading to the centre of the circle." | | 2 | "His left shoe – polished leather, Italian make – had a small scuff on the toe." | | 3 | "But the thickness varied slightly – one section near the south-east edge was thinner, as if the artist had been rushing." | | 4 | "She smelled it then – a faint sweet odour, like burnt almonds." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 744 | | adjectiveStacks | 1 | | stackExamples | | 0 | "other half-finished devices" |
| | adverbCount | 26 | | adverbRatio | 0.03494623655913978 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012096774193548387 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 9.01 | | std | 6.77 | | cv | 0.751 | | sampleLengths | | 0 | 12 | | 1 | 1 | | 2 | 1 | | 3 | 16 | | 4 | 16 | | 5 | 7 | | 6 | 3 | | 7 | 6 | | 8 | 5 | | 9 | 19 | | 10 | 3 | | 11 | 8 | | 12 | 13 | | 13 | 21 | | 14 | 4 | | 15 | 1 | | 16 | 7 | | 17 | 21 | | 18 | 7 | | 19 | 4 | | 20 | 10 | | 21 | 17 | | 22 | 5 | | 23 | 4 | | 24 | 13 | | 25 | 5 | | 26 | 11 | | 27 | 1 | | 28 | 2 | | 29 | 10 | | 30 | 30 | | 31 | 6 | | 32 | 13 | | 33 | 16 | | 34 | 6 | | 35 | 7 | | 36 | 8 | | 37 | 13 | | 38 | 16 | | 39 | 1 | | 40 | 11 | | 41 | 6 | | 42 | 11 | | 43 | 34 | | 44 | 10 | | 45 | 6 | | 46 | 21 | | 47 | 2 | | 48 | 3 | | 49 | 27 |
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| 74.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47058823529411764 | | totalSentences | 136 | | uniqueOpeners | 64 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Then she noticed the faint" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 87 | | matches | | 0 | "She looked at the body" | | 1 | "He’d taken off his hat," | | 2 | "She stood, brushing dirt from" | | 3 | "She pointed to the heavy" | | 4 | "His own, by the tread" | | 5 | "she said, more to herself" | | 6 | "His left shoe – polished" | | 7 | "It was formaldehyde." | | 8 | "She walked over, careful not" | | 9 | "She turned the receipt over" | | 10 | "She moved carefully, avoiding the" | | 11 | "She shone the torch inside." | | 12 | "She smelled it then –" | | 13 | "She pocketed the receipt and" | | 14 | "He’d known what was coming." | | 15 | "He’d been in the middle" | | 16 | "She knelt again, carefully lifting" |
| | ratio | 0.195 | |
| 57.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 87 | | matches | | 0 | "The cold bit through Quinn’s" | | 1 | "The air tasted of old" | | 2 | "Eva Kowalski’s voice had that" | | 3 | "Quinn didn’t look." | | 4 | "She looked at the body" | | 5 | "Robbery didn’t fit." | | 6 | "DS Pritchard asked from the" | | 7 | "He’d taken off his hat," | | 8 | "She stood, brushing dirt from" | | 9 | "She pointed to the heavy" | | 10 | "Pritchard glanced at Eva." | | 11 | "The redhead adjusted her glasses," | | 12 | "Quinn’s voice was flat" | | 13 | "Quinn returned to the body." | | 14 | "The man lay on his" | | 15 | "His own, by the tread" | | 16 | "she said, more to herself" | | 17 | "Quinn knelt again" | | 18 | "The victim’s collar was rumpled," | | 19 | "His left shoe – polished" |
| | ratio | 0.805 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "If he’d struggled, there’d be" |
| | ratio | 0.011 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "No wallet in sight, but his watch remained – a chunky stainless-steel thing that caught the portable lamp’s glare." | | 1 | "But the thickness varied slightly – one section near the south-east edge was thinner, as if the artist had been rushing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, more to herself than the room" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.135 | | leniency | 0.269 | | rawRatio | 0 | | effectiveRatio | 0 | |