| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Davies said quietly [quietly]" |
| | dialogueSentences | 53 | | tagDensity | 0.283 | | leniency | 0.566 | | rawRatio | 0.067 | | effectiveRatio | 0.038 | |
| 83.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1189 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lazily" | | 1 | "lightly" | | 2 | "suddenly" | | 3 | "sharply" |
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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) | |
| 57.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1189 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "etched" | | 1 | "macabre" | | 2 | "echoing" | | 3 | "vibrated" | | 4 | "weight" | | 5 | "familiar" | | 6 | "footsteps" | | 7 | "pulse" | | 8 | "echoed" |
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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 | 1 | | narrationSentences | 112 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 112 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1179 | | ratio | 0.003 | | matches | | 0 | "pushed" | | 1 | "people" | | 2 | "reacting" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 913 | | uniqueNames | 2 | | maxNameDensity | 1.86 | | worstName | "Davies" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Davies" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.569 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1179 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 151 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 17.86 | | std | 14.2 | | cv | 0.795 | | sampleLengths | | 0 | 84 | | 1 | 10 | | 2 | 40 | | 3 | 24 | | 4 | 40 | | 5 | 18 | | 6 | 4 | | 7 | 6 | | 8 | 45 | | 9 | 5 | | 10 | 11 | | 11 | 30 | | 12 | 10 | | 13 | 22 | | 14 | 15 | | 15 | 12 | | 16 | 33 | | 17 | 6 | | 18 | 10 | | 19 | 38 | | 20 | 9 | | 21 | 6 | | 22 | 4 | | 23 | 29 | | 24 | 10 | | 25 | 7 | | 26 | 11 | | 27 | 27 | | 28 | 4 | | 29 | 12 | | 30 | 19 | | 31 | 16 | | 32 | 28 | | 33 | 7 | | 34 | 31 | | 35 | 38 | | 36 | 9 | | 37 | 7 | | 38 | 27 | | 39 | 5 | | 40 | 21 | | 41 | 5 | | 42 | 26 | | 43 | 10 | | 44 | 13 | | 45 | 26 | | 46 | 11 | | 47 | 19 | | 48 | 15 | | 49 | 51 |
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| 95.86% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 112 | | matches | | 0 | "was frozen" | | 1 | "was etched" | | 2 | "was torn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 169 | | matches | | 0 | "was *reacting" | | 1 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 151 | | ratio | 0.06 | | matches | | 0 | "The face was frozen in an expression I knew too well—wide eyes, mouth open in a silent scream." | | 1 | "The victim's shirt was torn open, revealing a pattern of bruises across his sternum—dark, almost black, shaped like fingers." | | 2 | "The darkness inside wasn't just an absence of light—it was a presence, something that swallowed the beam of my torch whole." | | 3 | "None of it made sense—unless you knew where to look." | | 4 | "The token had a symbol carved into it—a crescent moon cradling a star." | | 5 | "The compass wasn't just pointing at me—it was *reacting* to me." | | 6 | "A sound echoed from the tunnel—a wet, clicking noise, like something dragging itself over stone." | | 7 | "\"—anyone copy? We've got a situation up top—\"" | | 8 | "It showed a live feed from the station entrance—a cluster of uniforms standing around a figure slumped against the wall." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 830 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03614457831325301 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00963855421686747 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 7.81 | | std | 5.44 | | cv | 0.697 | | sampleLengths | | 0 | 21 | | 1 | 20 | | 2 | 22 | | 3 | 18 | | 4 | 2 | | 5 | 1 | | 6 | 8 | | 7 | 2 | | 8 | 9 | | 9 | 13 | | 10 | 16 | | 11 | 1 | | 12 | 1 | | 13 | 11 | | 14 | 11 | | 15 | 2 | | 16 | 6 | | 17 | 25 | | 18 | 9 | | 19 | 10 | | 20 | 8 | | 21 | 4 | | 22 | 6 | | 23 | 7 | | 24 | 22 | | 25 | 16 | | 26 | 5 | | 27 | 2 | | 28 | 9 | | 29 | 3 | | 30 | 19 | | 31 | 3 | | 32 | 5 | | 33 | 4 | | 34 | 6 | | 35 | 5 | | 36 | 10 | | 37 | 1 | | 38 | 6 | | 39 | 7 | | 40 | 8 | | 41 | 4 | | 42 | 8 | | 43 | 5 | | 44 | 8 | | 45 | 20 | | 46 | 6 | | 47 | 4 | | 48 | 6 | | 49 | 11 |
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| 53.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3509933774834437 | | totalSentences | 151 | | uniqueOpeners | 53 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Too large to be human." | | 1 | "Instead, I turned back to" |
| | ratio | 0.021 | |
| 68.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 95 | | matches | | 0 | "I crouched beside the body," | | 1 | "I ignored him, my gaze" | | 2 | "Its needle spun lazily, caught" | | 3 | "He nodded toward the compass" | | 4 | "He held up an evidence" | | 5 | "I reached for it, but" | | 6 | "I stood, brushing dust from" | | 7 | "I knelt again." | | 8 | "I touched the bruises lightly." | | 9 | "I stood, my back cracking." | | 10 | "I stepped closer to the" | | 11 | "I pointed to the gleam" | | 12 | "I grabbed his wrist" | | 13 | "He stared at me." | | 14 | "I didn't answer." | | 15 | "I gestured to the compass" | | 16 | "I picked up the evidence" | | 17 | "I turned the bag over" | | 18 | "she said, nodding to us" | | 19 | "I didn't move." |
| | ratio | 0.379 | |
| 7.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 95 | | matches | | 0 | "The air smelled of damp" | | 1 | "I crouched beside the body," | | 2 | "The victim lay sprawled across" | | 3 | "The face was frozen in" | | 4 | "Davies didn't look up from" | | 5 | "I ignored him, my gaze" | | 6 | "Its needle spun lazily, caught" | | 7 | "The casing was etched with" | | 8 | "Davies continued, flipping a page" | | 9 | "He nodded toward the compass" | | 10 | "He held up an evidence" | | 11 | "The edges were worn smooth," | | 12 | "I reached for it, but" | | 13 | "I stood, brushing dust from" | | 14 | "The abandoned station stretched around" | | 15 | "A single flickering bulb cast" | | 16 | "I knelt again." | | 17 | "The victim's shirt was torn" | | 18 | "Davies said quietly" | | 19 | "I touched the bruises lightly." |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "The air smelled of damp concrete and something older, something that clung to the back of my throat like copper pennies." | | 1 | "The abandoned station stretched around us, its walls covered in peeling posters and graffiti that looked more like sigils than street art." | | 2 | "The darkness inside wasn't just an absence of light—it was a presence, something that swallowed the beam of my torch whole." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "I stepped, my boots echoing" | | 1 | "she said, her voice steady but her hands shaking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Davies continued (continue)" |
| | dialogueSentences | 53 | | tagDensity | 0.151 | | leniency | 0.302 | | rawRatio | 0.125 | | effectiveRatio | 0.038 | |