| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn walked back [back]" |
| | dialogueSentences | 46 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.056 | | effectiveRatio | 0.043 | |
| 92.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1358 | | 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) | |
| 19.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1358 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "rhythmic" | | 1 | "shattered" | | 2 | "perfect" | | 3 | "silk" | | 4 | "amidst" | | 5 | "pristine" | | 6 | "weight" | | 7 | "scanned" | | 8 | "pulsed" | | 9 | "gloom" | | 10 | "echoing" | | 11 | "shimmered" | | 12 | "etched" | | 13 | "vibrated" | | 14 | "familiar" | | 15 | "silence" | | 16 | "scanning" | | 17 | "echoed" | | 18 | "depths" |
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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 | 87 | | matches | (empty) | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1355 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 912 | | uniqueNames | 8 | | maxNameDensity | 1.86 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 1 | | Quinn | 17 | | Miller | 13 | | Italian | 1 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" |
| | places | (empty) | | globalScore | 0.568 | | windowScore | 0.667 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a physical barrier" | | 1 | "sigils that seemed to shift when viewed from the corner of the eye" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.214 | | wordCount | 1355 | | matches | | 0 | "not by a fall, but by something dragging itself out of the ground" | | 1 | "not just at the door, but slightly downward, as if the source lay beneath the floor it" | | 2 | "not a maintenance closet, but a steep stone staircase descending into a warm, amber glow" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 28.23 | | std | 17.9 | | cv | 0.634 | | sampleLengths | | 0 | 66 | | 1 | 38 | | 2 | 1 | | 3 | 33 | | 4 | 17 | | 5 | 41 | | 6 | 8 | | 7 | 24 | | 8 | 11 | | 9 | 65 | | 10 | 46 | | 11 | 5 | | 12 | 55 | | 13 | 59 | | 14 | 23 | | 15 | 38 | | 16 | 6 | | 17 | 45 | | 18 | 18 | | 19 | 38 | | 20 | 27 | | 21 | 39 | | 22 | 13 | | 23 | 29 | | 24 | 33 | | 25 | 35 | | 26 | 49 | | 27 | 42 | | 28 | 11 | | 29 | 14 | | 30 | 3 | | 31 | 37 | | 32 | 4 | | 33 | 18 | | 34 | 9 | | 35 | 56 | | 36 | 38 | | 37 | 31 | | 38 | 14 | | 39 | 29 | | 40 | 5 | | 41 | 22 | | 42 | 21 | | 43 | 68 | | 44 | 16 | | 45 | 25 | | 46 | 15 | | 47 | 15 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "been disturbed" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 115 | | ratio | 0.009 | | matches | | 0 | "It wasn't just an absence of light; it felt like a physical barrier." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.020787746170678335 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007658643326039387 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.78 | | std | 6.68 | | cv | 0.567 | | sampleLengths | | 0 | 27 | | 1 | 18 | | 2 | 18 | | 3 | 1 | | 4 | 2 | | 5 | 4 | | 6 | 17 | | 7 | 1 | | 8 | 9 | | 9 | 7 | | 10 | 1 | | 11 | 18 | | 12 | 15 | | 13 | 10 | | 14 | 7 | | 15 | 4 | | 16 | 9 | | 17 | 11 | | 18 | 17 | | 19 | 8 | | 20 | 4 | | 21 | 20 | | 22 | 11 | | 23 | 8 | | 24 | 4 | | 25 | 12 | | 26 | 17 | | 27 | 7 | | 28 | 6 | | 29 | 11 | | 30 | 17 | | 31 | 29 | | 32 | 5 | | 33 | 4 | | 34 | 10 | | 35 | 14 | | 36 | 27 | | 37 | 12 | | 38 | 13 | | 39 | 12 | | 40 | 5 | | 41 | 17 | | 42 | 10 | | 43 | 13 | | 44 | 16 | | 45 | 22 | | 46 | 6 | | 47 | 6 | | 48 | 9 | | 49 | 17 |
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| 71.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4649122807017544 | | totalSentences | 114 | | uniqueOpeners | 53 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Too late for commuters, too" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 81 | | matches | | 0 | "She checked her wrist." | | 1 | "He held a evidence bag" | | 2 | "His eyes stared up at" | | 3 | "His clothes were expensive, tailored" | | 4 | "She leaned in close." | | 5 | "Her brown eyes narrowed, picking" | | 6 | "She stood, her military precision" | | 7 | "She walked a wide circle" | | 8 | "She knelt again, pulling a" | | 9 | "she commanded, pointing the light" | | 10 | "He rummaged in his kit" | | 11 | "She stood and walked to" | | 12 | "It wasn't just an absence" | | 13 | "Her sharp jawline tightened." | | 14 | "She stopped near a service" | | 15 | "She pulled a small brass" | | 16 | "It spun lazily, then jerked," | | 17 | "She reached out, her fingers" | | 18 | "He looked at the body," | | 19 | "She checked the chamber, the" |
| | ratio | 0.284 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 81 | | matches | | 0 | "Rain lashed against the corrugated" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "The air down here tasted" | | 3 | "She checked her wrist." | | 4 | "The worn leather of her" | | 5 | "DS Miller stood near the" | | 6 | "He held a evidence bag" | | 7 | "Miller said, his voice tight" | | 8 | "Quinn approached the body." | | 9 | "A young man, mid-twenties, lay" | | 10 | "His eyes stared up at" | | 11 | "His clothes were expensive, tailored" | | 12 | "Quinn ordered, nodding at the" | | 13 | "Miller lowered his hand." | | 14 | "Quinn crouched, ignoring the protest" | | 15 | "She leaned in close." | | 16 | "The victim's Italian leather loafers" | | 17 | "A perfect circle of ash" | | 18 | "The surrounding gravel showed no" | | 19 | "The heat had come from" |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Rain lashed against the corrugated iron roof of the abandoned Camden Tube station, a rhythmic drumming that did little to mask the coppery tang of dried blood." | | 1 | "The beam cut through the gloom, illuminating fine grains of sand that didn't match the local geology." | | 2 | "The casing bore a thick patina of verdigris, and the face was etched with protective sigils that seemed to shift when viewed from the corner of the eye." | | 3 | "The oily residue smeared onto her glove, glowing faintly blue before fading." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 7 | | matches | | 0 | "Miller said, his voice tight" | | 1 | "Quinn muttered, more to herself than Miller" | | 2 | "Quinn asked, her back still to him" | | 3 | "Quinn said, turning to face him" | | 4 | "Miller argued, though his voice lacked conviction" | | 5 | "Miller repeated, the word sounding foreign on his tongue" | | 6 | "she commanded, her voice leaving no room for argument" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn ordered (order)" | | 1 | "Quinn muttered (mutter)" | | 2 | "Quinn whispered (whisper)" | | 3 | "Miller argued (argue)" | | 4 | "Miller repeated (repeat)" | | 5 | "she ordered (order)" |
| | dialogueSentences | 46 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0.6 | | effectiveRatio | 0.261 | |