| 28.57% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn stood abruptly [abruptly]" | | 1 | "Quinn said softly [softly]" | | 2 | "Quinn knelt again [again]" |
| | dialogueSentences | 35 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.2 | | effectiveRatio | 0.171 | |
| 70.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 850 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "perfectly" | | 2 | "suddenly" | | 3 | "softly" |
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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) | |
| 52.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 850 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "whisper" | | 1 | "echoing" | | 2 | "etched" | | 3 | "scanning" | | 4 | "eyebrow" | | 5 | "tracing" | | 6 | "firmly" |
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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 | 47 | | matches | (empty) | |
| 51.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 47 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 844 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 594 | | uniqueNames | 10 | | maxNameDensity | 2.53 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 15 | | Veil | 2 | | Market | 1 | | Camden | 1 | | Davies | 7 | | Persian | 1 | | Compass | 1 | | Thorne | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Davies" | | 4 | "Thorne" |
| | places | | | globalScore | 0.237 | | windowScore | 0.167 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 1 | | matches | | 0 | "rug that seemed to absorb the surrounding luminescence" |
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| 81.52% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.185 | | wordCount | 844 | | matches | | 0 | "not darkness behind it, but a swirling vortex of impossible colours" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 23.44 | | std | 13.78 | | cv | 0.588 | | sampleLengths | | 0 | 53 | | 1 | 14 | | 2 | 47 | | 3 | 24 | | 4 | 32 | | 5 | 5 | | 6 | 25 | | 7 | 4 | | 8 | 42 | | 9 | 36 | | 10 | 7 | | 11 | 5 | | 12 | 38 | | 13 | 8 | | 14 | 13 | | 15 | 40 | | 16 | 29 | | 17 | 32 | | 18 | 3 | | 19 | 31 | | 20 | 9 | | 21 | 24 | | 22 | 36 | | 23 | 23 | | 24 | 10 | | 25 | 25 | | 26 | 15 | | 27 | 23 | | 28 | 3 | | 29 | 36 | | 30 | 36 | | 31 | 7 | | 32 | 39 | | 33 | 32 | | 34 | 16 | | 35 | 22 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 47 | | matches | | 0 | "were curled" | | 1 | "been sealed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 102 | | matches | | |
| 14.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 67 | | ratio | 0.045 | | matches | | 0 | "Around his neck, faint bruising formed unusual patterns—geometric rather than the typical ligature marks." | | 1 | "But one stall remained fully stocked, its keeper—a hunched figure with too many eyes—watching them with unnerving stillness." | | 2 | "The vortex expanded, and something began to emerge—something that bore a terrifying resemblance to the partner she had lost three years ago." |
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| 98.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 599 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03672787979966611 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.021702838063439065 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 12.6 | | std | 5.99 | | cv | 0.475 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 17 | | 3 | 14 | | 4 | 14 | | 5 | 11 | | 6 | 22 | | 7 | 13 | | 8 | 11 | | 9 | 12 | | 10 | 16 | | 11 | 4 | | 12 | 5 | | 13 | 11 | | 14 | 14 | | 15 | 4 | | 16 | 13 | | 17 | 13 | | 18 | 16 | | 19 | 6 | | 20 | 12 | | 21 | 18 | | 22 | 7 | | 23 | 5 | | 24 | 15 | | 25 | 12 | | 26 | 11 | | 27 | 8 | | 28 | 5 | | 29 | 8 | | 30 | 13 | | 31 | 27 | | 32 | 17 | | 33 | 12 | | 34 | 24 | | 35 | 8 | | 36 | 3 | | 37 | 15 | | 38 | 16 | | 39 | 4 | | 40 | 5 | | 41 | 12 | | 42 | 12 | | 43 | 14 | | 44 | 22 | | 45 | 14 | | 46 | 9 | | 47 | 6 | | 48 | 4 | | 49 | 10 |
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| 97.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6268656716417911 | | totalSentences | 67 | | uniqueOpeners | 42 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 46 | | matches | | | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 46 | | matches | | 0 | "She knelt, her worn leather" | | 1 | "She circled the body, noting" | | 2 | "She bent closer to the" | | 3 | "She turned back to face" |
| | ratio | 0.087 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 46 | | matches | | 0 | "The bone token felt cold" | | 1 | "The hidden entrance to the" | | 2 | "Sergeant Davies gestured, his hand" | | 3 | "The narrow passage opened into" | | 4 | "Stalls stretched into impossible darkness," | | 5 | "Davies consulted his notebook" | | 6 | "Quinn approached the body, her" | | 7 | "She knelt, her worn leather" | | 8 | "Thorne's fingers were curled into" | | 9 | "Quinn pointed to a small" | | 10 | "The Veil Compass, its face" | | 11 | "Quinn stood, scanning the surrounding" | | 12 | "Quinn gestured to a faint" | | 13 | "Symbols marked its perimeter, similar" | | 14 | "She circled the body, noting" | | 15 | "Davies raised an eyebrow" | | 16 | "Quinn stepped carefully around the" | | 17 | "She bent closer to the" | | 18 | "Quinn pulled a small torch" | | 19 | "Quinn stood abruptly, her gaze" |
| | ratio | 0.826 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 46 | | matches | | | ratio | 0.022 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "In the centre of it all, a body lay sprawled across an antique Persian rug that seemed to absorb the surrounding luminescence." | | 1 | "As if on cue, the compass needle began spinning again, faster and faster until it glowed with an unnatural light." | | 2 | "Thorne's body jerked violently on the carpet, his mouth opening in a silent scream as the same geometric patterns that had marked his neck began spreading acros…" | | 3 | "The vortex expanded, and something began to emerge—something that bore a terrifying resemblance to the partner she had lost three years ago." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Sergeant Davies gestured, his hand hovering near his service weapon" | | 1 | "Quinn stood abruptly, her gaze falling on the abandoned compass again" | | 2 | "Davies backed away, his voice trembling" | | 3 | "Quinn said, her voice steady despite the horror unfolding before them" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Davies suggested (suggest)" |
| | dialogueSentences | 35 | | tagDensity | 0.086 | | leniency | 0.171 | | rawRatio | 0.333 | | effectiveRatio | 0.057 | |