| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn stepped back [back]" |
| | dialogueSentences | 54 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.038 | | effectiveRatio | 0.037 | |
| 96.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1617 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 47.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1617 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "database" | | 1 | "echoed" | | 2 | "weight" | | 3 | "etched" | | 4 | "pulsed" | | 5 | "rhythmic" | | 6 | "pulse" | | 7 | "pawn" | | 8 | "silence" | | 9 | "perfect" | | 10 | "flicker" | | 11 | "standard" | | 12 | "vibrated" | | 13 | "flickered" |
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| 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 | 177 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 177 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 205 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1615 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1195 | | uniqueNames | 13 | | maxNameDensity | 2.34 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 28 | | London | 1 | | Underground | 1 | | Tube | 1 | | Camden | 1 | | Metropolitan | 1 | | Police | 1 | | Evans | 20 | | Veil | 1 | | Compass | 1 | | North | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Evans" |
| | places | | | globalScore | 0.328 | | windowScore | 0.5 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared normal until she ran her gloved hand over it" | | 1 | "looked like human hair" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1615 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 205 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 29.36 | | std | 16.18 | | cv | 0.551 | | sampleLengths | | 0 | 75 | | 1 | 40 | | 2 | 22 | | 3 | 56 | | 4 | 1 | | 5 | 28 | | 6 | 51 | | 7 | 57 | | 8 | 7 | | 9 | 15 | | 10 | 43 | | 11 | 21 | | 12 | 27 | | 13 | 27 | | 14 | 31 | | 15 | 8 | | 16 | 61 | | 17 | 38 | | 18 | 43 | | 19 | 4 | | 20 | 35 | | 21 | 25 | | 22 | 30 | | 23 | 51 | | 24 | 12 | | 25 | 44 | | 26 | 25 | | 27 | 31 | | 28 | 30 | | 29 | 13 | | 30 | 51 | | 31 | 22 | | 32 | 28 | | 33 | 20 | | 34 | 23 | | 35 | 16 | | 36 | 55 | | 37 | 45 | | 38 | 40 | | 39 | 36 | | 40 | 24 | | 41 | 1 | | 42 | 30 | | 43 | 1 | | 44 | 42 | | 45 | 24 | | 46 | 26 | | 47 | 29 | | 48 | 35 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 177 | | matches | | 0 | "was blackened" | | 1 | "was made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 226 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 205 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1196 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.01588628762541806 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004180602006688963 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 205 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 205 | | mean | 7.88 | | std | 4.57 | | cv | 0.58 | | sampleLengths | | 0 | 13 | | 1 | 10 | | 2 | 22 | | 3 | 15 | | 4 | 10 | | 5 | 5 | | 6 | 18 | | 7 | 11 | | 8 | 11 | | 9 | 8 | | 10 | 14 | | 11 | 4 | | 12 | 7 | | 13 | 15 | | 14 | 5 | | 15 | 10 | | 16 | 15 | | 17 | 1 | | 18 | 16 | | 19 | 12 | | 20 | 2 | | 21 | 16 | | 22 | 16 | | 23 | 5 | | 24 | 12 | | 25 | 3 | | 26 | 9 | | 27 | 9 | | 28 | 8 | | 29 | 9 | | 30 | 19 | | 31 | 7 | | 32 | 3 | | 33 | 5 | | 34 | 7 | | 35 | 14 | | 36 | 9 | | 37 | 12 | | 38 | 8 | | 39 | 4 | | 40 | 7 | | 41 | 10 | | 42 | 2 | | 43 | 11 | | 44 | 8 | | 45 | 6 | | 46 | 13 | | 47 | 14 | | 48 | 3 | | 49 | 14 |
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| 38.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.3073170731707317 | | totalSentences | 205 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 151 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 151 | | matches | | 0 | "He kicked at a patch" | | 1 | "Her boots clicked against the" | | 2 | "She stopped beside the corpse." | | 3 | "His eyes stared at the" | | 4 | "She pulled a pair of" | | 5 | "His suit jacket was open." | | 6 | "She reached out." | | 7 | "Her fingers hovered over the" | | 8 | "She lifted the Veil Compass" | | 9 | "He squinted through the glare." | | 10 | "It jerked toward the tunnel" | | 11 | "He rubbed the back of" | | 12 | "She tucked the compass into" | | 13 | "She walked to the tunnel" | | 14 | "She lifted the man's left" | | 15 | "He crouched beside her." | | 16 | "He pulled a penlight from" | | 17 | "She watched the halogen lights" | | 18 | "He felt along the inner" | | 19 | "His fingers stopped at the" |
| | ratio | 0.265 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 142 | | totalSentences | 151 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "The air tasted of copper" | | 2 | "This abandoned Tube station beneath" | | 3 | "Quinn adjusted the worn leather" | | 4 | "The hands ticked past midnight." | | 5 | "DS Evans stood near the" | | 6 | "He kicked at a patch" | | 7 | "Quinn moved past him." | | 8 | "Her boots clicked against the" | | 9 | "The sound echoed too far," | | 10 | "She stopped beside the corpse." | | 11 | "A man in a tattered" | | 12 | "His eyes stared at the" | | 13 | "Evans shifted his weight" | | 14 | "She pulled a pair of" | | 15 | "The sharp jawline of her" | | 16 | "His suit jacket was open." | | 17 | "She reached out." | | 18 | "Her fingers hovered over the" | | 19 | "The metal felt cold, leaching" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 151 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "The sound echoed too far, as if the tunnel stretched longer than physical geometry allowed." | | 1 | "Sigils etched into the face pulsed with a faint, rhythmic luminescence that matched the beat of her own pulse." | | 2 | "The skin on his fingertips was blackened, as if burned by extreme cold." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 54 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0.125 | | effectiveRatio | 0.037 | |