| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "She looked around [around]" |
| | dialogueSentences | 61 | | tagDensity | 0.426 | | leniency | 0.852 | | rawRatio | 0.038 | | effectiveRatio | 0.033 | |
| 95.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 1 | | 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) | |
| 59.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1226 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "gloom" | | 1 | "scanning" | | 2 | "perfect" | | 3 | "chaotic" | | 4 | "fluttered" | | 5 | "etched" | | 6 | "traced" | | 7 | "etching" | | 8 | "shimmered" | | 9 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1226 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 812 | | uniqueNames | 15 | | maxNameDensity | 1.97 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Veil | 6 | | Market | 3 | | Quinn | 16 | | Charing | 1 | | Cross | 1 | | Tube | 1 | | Underground | 1 | | Camden | 1 | | Trafalgar | 1 | | Square | 1 | | Davies | 13 | | Compass | 3 | | Davives | 1 | | Morris | 1 | | London | 1 |
| | persons | | 0 | "Market" | | 1 | "Quinn" | | 2 | "Underground" | | 3 | "Davies" | | 4 | "Compass" | | 5 | "Davives" | | 6 | "Morris" |
| | places | | 0 | "Veil" | | 1 | "Trafalgar" | | 2 | "London" |
| | globalScore | 0.515 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "coat that seemed to absorb the light around it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.816 | | wordCount | 1226 | | matches | | 0 | "Not a real name, but a nickname" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 21.89 | | std | 13.95 | | cv | 0.637 | | sampleLengths | | 0 | 50 | | 1 | 55 | | 2 | 34 | | 3 | 35 | | 4 | 13 | | 5 | 15 | | 6 | 18 | | 7 | 18 | | 8 | 27 | | 9 | 42 | | 10 | 9 | | 11 | 4 | | 12 | 23 | | 13 | 7 | | 14 | 40 | | 15 | 4 | | 16 | 30 | | 17 | 55 | | 18 | 8 | | 19 | 19 | | 20 | 10 | | 21 | 26 | | 22 | 3 | | 23 | 32 | | 24 | 9 | | 25 | 35 | | 26 | 8 | | 27 | 26 | | 28 | 20 | | 29 | 27 | | 30 | 31 | | 31 | 21 | | 32 | 19 | | 33 | 24 | | 34 | 1 | | 35 | 21 | | 36 | 16 | | 37 | 6 | | 38 | 7 | | 39 | 17 | | 40 | 31 | | 41 | 7 | | 42 | 22 | | 43 | 32 | | 44 | 11 | | 45 | 19 | | 46 | 45 | | 47 | 15 | | 48 | 25 | | 49 | 12 |
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| 83.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 82 | | matches | | 0 | "been replaced" | | 1 | "been drained" | | 2 | "were frozen" | | 3 | "were arranged" | | 4 | "was connected" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 135 | | matches | | 0 | "was already moving" | | 1 | "were clicking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 117 | | ratio | 0.009 | | matches | | 0 | "She didn't need the torch; her eyes had adapted to the gloom years ago." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 815 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03190184049079755 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007361963190184049 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.48 | | std | 6.49 | | cv | 0.62 | | sampleLengths | | 0 | 9 | | 1 | 26 | | 2 | 15 | | 3 | 26 | | 4 | 26 | | 5 | 3 | | 6 | 10 | | 7 | 14 | | 8 | 10 | | 9 | 2 | | 10 | 2 | | 11 | 4 | | 12 | 14 | | 13 | 13 | | 14 | 9 | | 15 | 4 | | 16 | 6 | | 17 | 9 | | 18 | 18 | | 19 | 7 | | 20 | 11 | | 21 | 2 | | 22 | 25 | | 23 | 8 | | 24 | 3 | | 25 | 18 | | 26 | 13 | | 27 | 9 | | 28 | 4 | | 29 | 13 | | 30 | 10 | | 31 | 4 | | 32 | 3 | | 33 | 16 | | 34 | 15 | | 35 | 9 | | 36 | 4 | | 37 | 15 | | 38 | 15 | | 39 | 19 | | 40 | 10 | | 41 | 5 | | 42 | 21 | | 43 | 8 | | 44 | 13 | | 45 | 4 | | 46 | 2 | | 47 | 10 | | 48 | 9 | | 49 | 11 |
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| 75.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4700854700854701 | | totalSentences | 117 | | uniqueOpeners | 55 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "At least, not entirely." | | 1 | "Then it spoke, its voice" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 75 | | matches | | 0 | "She didn't need the torch;" | | 1 | "Their faces were frozen in" | | 2 | "she murmured, more to herself" | | 3 | "she cut him off, already" | | 4 | "She picked it up" | | 5 | "She traced the etching" | | 6 | "She looked around the room" | | 7 | "It was a receipt from" | | 8 | "She walked to the back" | | 9 | "She slipped the jars into" | | 10 | "They stepped back onto the" | | 11 | "he asked, stepping back" | | 12 | "Its face was featureless, a" | | 13 | "she whispered, the name catching" | | 14 | "It was connected to her" | | 15 | "she demanded, raising her compass" | | 16 | "she said, her voice steady" | | 17 | "It pointed toward the truth" |
| | ratio | 0.24 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 75 | | matches | | 0 | "The Veil Market stank of" | | 1 | "Detective Quinn stepped over the" | | 2 | "The usual damp smell of" | | 3 | "Davies called from the far" | | 4 | "The Veil Market had shifted" | | 5 | "A bloody inconvenience." | | 6 | "Quinn adjusted her closely cropped" | | 7 | "She didn't need the torch;" | | 8 | "Each had been drained of" | | 9 | "Their faces were frozen in" | | 10 | "Davies said, his voice tight" | | 11 | "Quinn crouched beside the nearest" | | 12 | "Quinn pointed to the victim's" | | 13 | "Quinn ignored him, her eyes" | | 14 | "Something wasn't right." | | 15 | "The bodies were arranged in" | | 16 | "she murmured, more to herself" | | 17 | "Quinn stood, her military precision" | | 18 | "Davies followed her gaze." | | 19 | "Quinn pulled out her Veil" |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "Detective Quinn stepped over the threshold of the abandoned Charing Cross Tube station, her worn leather boots crunching on something that crunched too much lik…" | | 1 | "The ticket office door hung off its hinges, revealing a scene that didn't match the brutality of the platform." | | 2 | "The distortion solidified into a figure, tall and thin, wearing a long coat that seemed to absorb the light around it." | | 3 | "It pointed toward the truth about her partner's death, and toward a darkness that had been hunting in the shadows of London's supernatural underworld for far to…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 7 | | matches | | 0 | "Davies said, his voice tight" | | 1 | "she murmured, more to herself than Davies" | | 2 | "Quinn stood, her military precision evident in the way she moved" | | 3 | "Quinn pulled out, the brass casing warm in her hand" | | 4 | "Quinn said, her hand resting on the weapon holstered at her side" | | 5 | "she whispered, the name catching in her throat" | | 6 | "she said, her voice steady despite the tremor in her hands," |
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| 68.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Quinn murmured (murmur)" | | 2 | "Davies protested (protest)" | | 3 | "she whispered (whisper)" | | 4 | "she demanded (demand)" |
| | dialogueSentences | 61 | | tagDensity | 0.23 | | leniency | 0.459 | | rawRatio | 0.357 | | effectiveRatio | 0.164 | |