| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1200 | | 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) | |
| 16.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1200 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "scanning" | | 4 | "trembled" | | 5 | "pulsed" | | 6 | "navigate" | | 7 | "whisper" | | 8 | "intensity" | | 9 | "searing" | | 10 | "stark" | | 11 | "throbbed" |
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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 | 109 | | matches | (empty) | |
| 64.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1199 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "You are alone, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1191 | | uniqueNames | 15 | | maxNameDensity | 0.59 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | November | 2 | | Richmond | 1 | | Park | 1 | | Carter | 1 | | London | 3 | | Evan | 2 | | Heartstone | 1 | | Silas | 1 | | Earth | 1 | | Fae | 1 | | Hel | 1 | | Grove | 3 | | Cardiff | 2 | | Wales | 1 | | Rory | 7 |
| | persons | | 0 | "Carter" | | 1 | "Evan" | | 2 | "Silas" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Hel" | | 4 | "Grove" | | 5 | "Cardiff" | | 6 | "Wales" |
| | globalScore | 1 | | windowScore | 1 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like pressure against her eardrums" | | 1 | "sounded like her name, but distorted, as i" |
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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 | 1199 | | matches | (empty) | |
| 74.92% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 109 | | matches | | 0 | "warning that it" | | 1 | "closing, that she" | | 2 | "revealing that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 41.34 | | std | 23.31 | | cv | 0.564 | | sampleLengths | | 0 | 3 | | 1 | 84 | | 2 | 67 | | 3 | 93 | | 4 | 36 | | 5 | 44 | | 6 | 79 | | 7 | 9 | | 8 | 36 | | 9 | 13 | | 10 | 38 | | 11 | 13 | | 12 | 57 | | 13 | 44 | | 14 | 48 | | 15 | 9 | | 16 | 28 | | 17 | 19 | | 18 | 42 | | 19 | 42 | | 20 | 74 | | 21 | 40 | | 22 | 13 | | 23 | 44 | | 24 | 42 | | 25 | 29 | | 26 | 72 | | 27 | 39 | | 28 | 42 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "was replaced" | | 1 | "were gone" |
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| 72.41% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 209 | | matches | | 0 | "was glowing" | | 1 | "was spinning" | | 2 | "was holding" | | 3 | "were wilting" |
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| 64.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 109 | | ratio | 0.028 | | matches | | 0 | "She knew the artifact's behavior; it pulsed when near a Hel portal." | | 1 | "It was no longer empty; it was holding its breath." | | 2 | "She stepped past the ancient oak boundary, and the noise of London crashed back into her world—the distant traffic, the wind in the normal trees, the cold bite of a normal November night." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 913 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.03285870755750274 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013143483023001095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11 | | std | 7.4 | | cv | 0.673 | | sampleLengths | | 0 | 3 | | 1 | 3 | | 2 | 26 | | 3 | 21 | | 4 | 19 | | 5 | 15 | | 6 | 7 | | 7 | 23 | | 8 | 3 | | 9 | 10 | | 10 | 24 | | 11 | 10 | | 12 | 12 | | 13 | 15 | | 14 | 7 | | 15 | 28 | | 16 | 21 | | 17 | 5 | | 18 | 15 | | 19 | 4 | | 20 | 12 | | 21 | 8 | | 22 | 9 | | 23 | 11 | | 24 | 8 | | 25 | 8 | | 26 | 4 | | 27 | 10 | | 28 | 9 | | 29 | 4 | | 30 | 9 | | 31 | 23 | | 32 | 13 | | 33 | 7 | | 34 | 9 | | 35 | 2 | | 36 | 34 | | 37 | 3 | | 38 | 10 | | 39 | 9 | | 40 | 6 | | 41 | 4 | | 42 | 4 | | 43 | 15 | | 44 | 2 | | 45 | 7 | | 46 | 4 | | 47 | 3 | | 48 | 11 | | 49 | 8 |
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| 32.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.28440366972477066 | | totalSentences | 109 | | uniqueOpeners | 31 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 105 | | matches | | 0 | "Then, as she moved deeper" | | 1 | "Just the wildflowers and the" | | 2 | "Then the light died, plunging" |
| | ratio | 0.029 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 105 | | matches | | 0 | "It was replaced by a" | | 1 | "She was five feet six" | | 2 | "She touched the small crescent-shaped" | | 3 | "It was the reason she" | | 4 | "It was glowing now, emitting" | | 5 | "They were wrong, the flowers." | | 6 | "They shouldn't exist here." | | 7 | "She looked around, her bright" | | 8 | "She checked her watch." | | 9 | "She tapped the glass face," | | 10 | "She had told Silas she" | | 11 | "She turned slowly, her hand" | | 12 | "She exhaled, a white plume" | | 13 | "You are alone, she told" | | 14 | "You are just jumpy." | | 15 | "It is the job." | | 16 | "It is the delivery runs" | | 17 | "She spun around." | | 18 | "She knew the artifact's behavior;" | | 19 | "She had assumed the Grove" |
| | ratio | 0.4 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 105 | | matches | | 0 | "The air inside the boundary" | | 1 | "Aurora Carter stepped past the" | | 2 | "The noise of London, the" | | 3 | "It was replaced by a" | | 4 | "Rory pulled her jacket tighter" | | 5 | "She was five feet six" | | 6 | "Panic was useless." | | 7 | "Panic got you killed, or" | | 8 | "She touched the small crescent-shaped" | | 9 | "The Heartstone pendant lay against" | | 10 | "A faint warmth spread through" | | 11 | "It was the reason she" | | 12 | "The unknown benefactor who had" | | 13 | "It was glowing now, emitting" | | 14 | "They were wrong, the flowers." | | 15 | "Violets and poppies sprawled across" | | 16 | "They shouldn't exist here." | | 17 | "Nothing about this place respected" | | 18 | "Rory stopped in the center" | | 19 | "The pendant grew hotter, burning" |
| | ratio | 0.857 | |
| 47.62% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 105 | | matches | | 0 | "If she stayed too long," |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 2 | | matches | | 0 | "The unknown benefactor who had slipped it into her pocket weeks ago had given no instructions, only a warning that it would glow when the veil was thin." | | 1 | "The cool-headed intelligence that had helped her navigate law school before she fled Cardiff, that had helped her escape Evan without a trace, screamed at her t…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "She thought, the safety of the mundane world" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |