| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1309 | | 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) | |
| 50.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1309 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "pulse" | | 1 | "unreadable" | | 2 | "weight" | | 3 | "flicker" | | 4 | "stomach" | | 5 | "flicked" | | 6 | "wavered" | | 7 | "footsteps" | | 8 | "reminder" | | 9 | "the last thing" |
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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 | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | 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 | 8 | | markdownWords | 10 | | totalWords | 1298 | | ratio | 0.008 | | matches | | 0 | "someone" | | 1 | "you" | | 2 | "her" | | 3 | "you" | | 4 | "The Black Grimoire" | | 5 | "me" | | 6 | "want" | | 7 | "eyes" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1053 | | uniqueNames | 8 | | maxNameDensity | 1.23 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Lucien | 6 | | Aurora | 13 | | Eva | 3 | | Black | 1 | | Gone | 1 | | Couldn | 3 | | Should | 4 |
| | persons | | 0 | "Carter" | | 1 | "Lucien" | | 2 | "Aurora" | | 3 | "Eva" | | 4 | "Gone" | | 5 | "Should" |
| | places | | | globalScore | 0.883 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a lifeline" | | 1 | "tasted like ash on her tongue" | | 2 | "something like amusement, or maybe the ghost" | | 3 | "looked like they’d been scribbled in hast" |
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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 | 1298 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 163 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 18.81 | | std | 17.39 | | cv | 0.924 | | sampleLengths | | 0 | 1 | | 1 | 10 | | 2 | 74 | | 3 | 15 | | 4 | 94 | | 5 | 11 | | 6 | 26 | | 7 | 28 | | 8 | 23 | | 9 | 18 | | 10 | 8 | | 11 | 62 | | 12 | 20 | | 13 | 22 | | 14 | 19 | | 15 | 28 | | 16 | 25 | | 17 | 1 | | 18 | 1 | | 19 | 15 | | 20 | 17 | | 21 | 9 | | 22 | 17 | | 23 | 52 | | 24 | 9 | | 25 | 10 | | 26 | 15 | | 27 | 2 | | 28 | 12 | | 29 | 11 | | 30 | 4 | | 31 | 24 | | 32 | 29 | | 33 | 13 | | 34 | 29 | | 35 | 2 | | 36 | 25 | | 37 | 48 | | 38 | 8 | | 39 | 15 | | 40 | 17 | | 41 | 34 | | 42 | 15 | | 43 | 23 | | 44 | 39 | | 45 | 6 | | 46 | 7 | | 47 | 42 | | 48 | 7 | | 49 | 29 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 126 | | matches | | 0 | "was slicked" | | 1 | "was curled" | | 2 | "was yellowed" | | 3 | "got passed" | | 4 | "been scribbled" | | 5 | "was gone" | | 6 | "was gone" | | 7 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 210 | | matches | | 0 | "was dragging" | | 1 | "was memorising" | | 2 | "were shaking" |
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| 2.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 163 | | ratio | 0.049 | | matches | | 0 | "A gust of cold air rushed in, carrying the scent of rain-slicked pavement and the faint, metallic tang of something older—something that clung to the edges of the room like a ghost." | | 1 | "A flicker—something like amusement, or maybe the ghost of a smile—crossed his face before he smoothed it away." | | 2 | "The way he moved—confident, deliberate—said he wasn’t here to ask for permission." | | 3 | "She recognised the handwriting immediately—Eva’s messy, hurried script." | | 4 | "But the way he looked at her—like she was something fragile, something precious—made her skin prickle." | | 5 | "But the way he looked at her—like he could see right through her, like he knew every secret she’d ever buried—made her skin burn." | | 6 | "And Lucien—" | | 7 | "His face was unreadable, but his eyes—his *eyes*—were dark with something she couldn’t name." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1065 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound book." |
| | adverbCount | 40 | | adverbRatio | 0.03755868544600939 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003755868544600939 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 7.96 | | std | 6.51 | | cv | 0.818 | | sampleLengths | | 0 | 10 | | 1 | 32 | | 2 | 17 | | 3 | 25 | | 4 | 15 | | 5 | 8 | | 6 | 4 | | 7 | 6 | | 8 | 25 | | 9 | 25 | | 10 | 26 | | 11 | 3 | | 12 | 8 | | 13 | 3 | | 14 | 4 | | 15 | 15 | | 16 | 4 | | 17 | 12 | | 18 | 16 | | 19 | 18 | | 20 | 5 | | 21 | 10 | | 22 | 8 | | 23 | 3 | | 24 | 5 | | 25 | 28 | | 26 | 14 | | 27 | 16 | | 28 | 4 | | 29 | 16 | | 30 | 4 | | 31 | 18 | | 32 | 4 | | 33 | 3 | | 34 | 4 | | 35 | 12 | | 36 | 13 | | 37 | 11 | | 38 | 4 | | 39 | 3 | | 40 | 5 | | 41 | 16 | | 42 | 1 | | 43 | 1 | | 44 | 1 | | 45 | 10 | | 46 | 3 | | 47 | 2 | | 48 | 7 | | 49 | 10 |
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| 45.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2883435582822086 | | totalSentences | 163 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 110 | | matches | | 0 | "Just stood there, shoulders squared," | | 1 | "Just leaned against the counter," | | 2 | "Just reached into his coat" | | 3 | "Then the door slammed shut" | | 4 | "Then she heard it." | | 5 | "Then he was gone." | | 6 | "Then she looked at the" | | 7 | "Then at the key." | | 8 | "Then she grabbed the knife." |
| | ratio | 0.082 | |
| 63.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 110 | | matches | | 0 | "she said, voice steady despite" | | 1 | "He didn’t have to." | | 2 | "His presence alone was a" | | 3 | "His amber eye caught the" | | 4 | "He didn’t move." | | 5 | "she corrected, though the word" | | 6 | "His lips twitched." | | 7 | "she said, nodding toward the" | | 8 | "She didn’t have to." | | 9 | "She crossed her arms, the" | | 10 | "She didn’t flinch." | | 11 | "His voice was smooth, dangerous" | | 12 | "He reached into his jacket," | | 13 | "She didn’t take it." | | 14 | "She recognised the handwriting immediately—Eva’s" | | 15 | "she said, voice low" | | 16 | "He held it out" | | 17 | "She laughed, sharp and bitter." | | 18 | "he repeated, softer now" | | 19 | "His gaze flicked to the" |
| | ratio | 0.391 | |
| 69.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 110 | | matches | | 0 | "The door creaked open before" | | 1 | "A gust of cold air" | | 2 | "Aurora Carter froze, her fingers" | | 3 | "The blade was dull, the" | | 4 | "she said, voice steady despite" | | 5 | "The man standing in the" | | 6 | "He didn’t have to." | | 7 | "His presence alone was a" | | 8 | "The platinum blond hair was" | | 9 | "His amber eye caught the" | | 10 | "The name tasted like ash" | | 11 | "He didn’t move." | | 12 | "Aurora exhaled through her nose," | | 13 | "A flicker—something like amusement, or" | | 14 | "she corrected, though the word" | | 15 | "His lips twitched." | | 16 | "The flat was small, cramped" | | 17 | "The air smelled of garlic" | | 18 | "Lucien’s gaze swept over the" | | 19 | "she said, nodding toward the" |
| | ratio | 0.782 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "A gust of cold air rushed in, carrying the scent of rain-slicked pavement and the faint, metallic tang of something older—something that clung to the edges of t…" | | 1 | "The flat was small, cramped with the kind of clutter that came from living above a bar and sleeping in clothes you hadn’t bothered to change out of." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "she corrected, though the word felt too small" | | 1 | "she said, voice low" | | 2 | "she said, voice hollow" | | 3 | "She scoffed, but her voice wavered" | | 4 | "he said, voice rough" | | 5 | "He held, the cloth shifting slightly" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she corrected (correct)" | | 2 | "he repeated (repeat)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.179 | | leniency | 0.357 | | rawRatio | 0.4 | | effectiveRatio | 0.143 | |