| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.108 | | leniency | 0.216 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 876 | | 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) | |
| 25.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 876 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stomach" | | 1 | "gloom" | | 2 | "electric" | | 3 | "echoing" | | 4 | "flickered" | | 5 | "traced" | | 6 | "weight" | | 7 | "etched" | | 8 | "pulse" | | 9 | "charged" | | 10 | "unspoken" | | 11 | "pulsed" |
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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 | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 872 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 662 | | uniqueNames | 3 | | maxNameDensity | 1.21 | | worstName | "Davies" | | maxWindowNameDensity | 2 | | worstWindowName | "Davies" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.896 | | windowScore | 1 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like dried blood" | | 1 | "shadows that seemed to writhe" |
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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 | 872 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 20.76 | | std | 19.61 | | cv | 0.944 | | sampleLengths | | 0 | 87 | | 1 | 20 | | 2 | 8 | | 3 | 77 | | 4 | 8 | | 5 | 25 | | 6 | 7 | | 7 | 9 | | 8 | 44 | | 9 | 14 | | 10 | 4 | | 11 | 15 | | 12 | 49 | | 13 | 7 | | 14 | 43 | | 15 | 2 | | 16 | 16 | | 17 | 8 | | 18 | 24 | | 19 | 3 | | 20 | 48 | | 21 | 10 | | 22 | 20 | | 23 | 29 | | 24 | 11 | | 25 | 23 | | 26 | 6 | | 27 | 47 | | 28 | 8 | | 29 | 12 | | 30 | 1 | | 31 | 8 | | 32 | 29 | | 33 | 9 | | 34 | 25 | | 35 | 1 | | 36 | 14 | | 37 | 3 | | 38 | 18 | | 39 | 45 | | 40 | 4 | | 41 | 31 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | 0 | "been dropped" | | 1 | "was frozen" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 121 | | matches | | |
| 90.91% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 110 | | ratio | 0.018 | | matches | | 0 | "His suit was expensive—tailored, charcoal grey, the kind of fabric that didn’t wrinkle." | | 1 | "The largest one—a jagged, star-like shape—sat at the centre, surrounded by smaller marks that spiralled outward." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 491 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 17 | | adverbRatio | 0.034623217922606926 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006109979633401222 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 7.93 | | std | 5.34 | | cv | 0.674 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 18 | | 3 | 20 | | 4 | 9 | | 5 | 14 | | 6 | 6 | | 7 | 4 | | 8 | 4 | | 9 | 11 | | 10 | 14 | | 11 | 13 | | 12 | 3 | | 13 | 8 | | 14 | 11 | | 15 | 5 | | 16 | 12 | | 17 | 3 | | 18 | 5 | | 19 | 12 | | 20 | 9 | | 21 | 4 | | 22 | 7 | | 23 | 4 | | 24 | 5 | | 25 | 20 | | 26 | 12 | | 27 | 7 | | 28 | 5 | | 29 | 2 | | 30 | 12 | | 31 | 4 | | 32 | 3 | | 33 | 10 | | 34 | 2 | | 35 | 12 | | 36 | 21 | | 37 | 16 | | 38 | 3 | | 39 | 4 | | 40 | 10 | | 41 | 4 | | 42 | 2 | | 43 | 19 | | 44 | 2 | | 45 | 6 | | 46 | 2 | | 47 | 11 | | 48 | 5 | | 49 | 4 |
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| 46.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3 | | totalSentences | 110 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 74 | | matches | | 0 | "Instead, he gestured toward the" | | 1 | "Instead, I crouched again, this" | | 2 | "Then, with a sharp nod," |
| | ratio | 0.041 | |
| 36.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 74 | | matches | | 0 | "I crouched beside the body," | | 1 | "His face was frozen in" | | 2 | "I didn’t look up." | | 3 | "His suit was expensive—tailored, charcoal" | | 4 | "His left hand clutched something" | | 5 | "I pried his fingers open." | | 6 | "I turned it over in" | | 7 | "I pocketed the token." | | 8 | "I stood, brushing dust from" | | 9 | "He didn’t answer." | | 10 | "I followed him past the" | | 11 | "They twisted and curled, forming" | | 12 | "I stepped closer, my breath" | | 13 | "I traced the largest symbol" | | 14 | "I shot him a look." | | 15 | "He didn’t answer." | | 16 | "I turned back to the" | | 17 | "It reminded me of something." | | 18 | "My fingers twitched toward my" | | 19 | "I ignored him." |
| | ratio | 0.459 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The air smelled of damp" | | 1 | "I crouched beside the body," | | 2 | "The victim lay sprawled on" | | 3 | "His face was frozen in" | | 4 | "The kind of look that" | | 5 | "Davies stood a few feet" | | 6 | "I didn’t look up." | | 7 | "The victim’s clothes were too" | | 8 | "His suit was expensive—tailored, charcoal" | | 9 | "A businessman, then." | | 10 | "His left hand clutched something" | | 11 | "I pried his fingers open." | | 12 | "A bone token, smooth and" | | 13 | "Davies exhaled sharply." | | 14 | "I turned it over in" | | 15 | "The edges were worn, the" | | 16 | "I pocketed the token." | | 17 | "The abandoned station stretched around" | | 18 | "The air hummed with something" | | 19 | "I stood, brushing dust from" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The air smelled of damp stone and something older, something that clung to the back of my throat like copper." | | 1 | "The abandoned station stretched around us, its walls lined with peeling posters and graffiti that glowed faintly under the torchlight." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Davies stood, his torch beam cutting through the gloom" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.027 | | leniency | 0.054 | | rawRatio | 0 | | effectiveRatio | 0 | |