| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 832 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 69.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 832 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "gloom" | | 1 | "glint" | | 2 | "pulsed" | | 3 | "pulse" | | 4 | "stomach" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | 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 | 818 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 521 | | uniqueNames | 6 | | maxNameDensity | 2.11 | | worstName | "Patel" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Patel" | | discoveredNames | | Tube | 1 | | Patel | 11 | | Quinn | 9 | | Morris | 2 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Patel" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Compass" |
| | places | (empty) | | globalScore | 0.444 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | 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 | 818 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 19.95 | | std | 13.95 | | cv | 0.699 | | sampleLengths | | 0 | 55 | | 1 | 41 | | 2 | 35 | | 3 | 43 | | 4 | 11 | | 5 | 41 | | 6 | 5 | | 7 | 7 | | 8 | 13 | | 9 | 45 | | 10 | 9 | | 11 | 31 | | 12 | 1 | | 13 | 24 | | 14 | 30 | | 15 | 8 | | 16 | 38 | | 17 | 14 | | 18 | 10 | | 19 | 19 | | 20 | 26 | | 21 | 6 | | 22 | 29 | | 23 | 15 | | 24 | 13 | | 25 | 12 | | 26 | 48 | | 27 | 13 | | 28 | 14 | | 29 | 2 | | 30 | 11 | | 31 | 17 | | 32 | 25 | | 33 | 5 | | 34 | 23 | | 35 | 17 | | 36 | 11 | | 37 | 13 | | 38 | 28 | | 39 | 4 | | 40 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 98 | | matches | | 0 | "was watching" | | 1 | "was vibrating" | | 2 | "was waiting" |
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| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 102 | | ratio | 0.029 | | matches | | 0 | "The air in the abandoned Tube tunnel reeked of damp concrete and something sharper—copper, maybe, or the acrid tang of old batteries." | | 1 | "The beam caught something—a glint, half-buried in the grime." | | 2 | "She’d seen it before—three years ago, in the alley where Morris had died." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 529 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.03213610586011342 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003780718336483932 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 8.02 | | std | 5.77 | | cv | 0.72 | | sampleLengths | | 0 | 22 | | 1 | 13 | | 2 | 20 | | 3 | 11 | | 4 | 16 | | 5 | 2 | | 6 | 3 | | 7 | 9 | | 8 | 14 | | 9 | 8 | | 10 | 13 | | 11 | 5 | | 12 | 26 | | 13 | 12 | | 14 | 2 | | 15 | 9 | | 16 | 10 | | 17 | 9 | | 18 | 8 | | 19 | 5 | | 20 | 5 | | 21 | 2 | | 22 | 2 | | 23 | 3 | | 24 | 2 | | 25 | 4 | | 26 | 3 | | 27 | 13 | | 28 | 9 | | 29 | 5 | | 30 | 11 | | 31 | 13 | | 32 | 4 | | 33 | 3 | | 34 | 4 | | 35 | 5 | | 36 | 3 | | 37 | 14 | | 38 | 8 | | 39 | 2 | | 40 | 4 | | 41 | 1 | | 42 | 2 | | 43 | 12 | | 44 | 10 | | 45 | 12 | | 46 | 18 | | 47 | 3 | | 48 | 5 | | 49 | 9 |
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| 51.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3431372549019608 | | totalSentences | 102 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 65 | | matches | | 0 | "Just a stillness that didn’t" | | 1 | "Instead, she stepped closer to" | | 2 | "Then it settled, waiting." |
| | ratio | 0.046 | |
| 96.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 65 | | matches | | 0 | "His suit was expensive, the" | | 1 | "he said, nodding toward the" | | 2 | "She didn’t touch the body," | | 3 | "She ignored him, running her" | | 4 | "She plucked it out with" | | 5 | "She pocketed it" | | 6 | "It clung, thick as oil," | | 7 | "She’d seen it before—three years" | | 8 | "She didn’t answer." | | 9 | "She pulled the Veil Compass" | | 10 | "She snapped the compass shut" | | 11 | "She turned back to the" | | 12 | "She knew that look." | | 13 | "She didn’t answer." | | 14 | "He sat on the back" | | 15 | "She pulled the brass button" | | 16 | "His breath hitched." | | 17 | "She pulled free." | | 18 | "She didn’t wait for an" | | 19 | "She walked back to the" |
| | ratio | 0.308 | |
| 13.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 65 | | matches | | 0 | "The air in the abandoned" | | 1 | "Quinn stepped over the police" | | 2 | "The beam of her torch" | | 3 | "A man, mid-thirties, sprawled face-down" | | 4 | "His suit was expensive, the" | | 5 | "DS Patel stood near the" | | 6 | "he said, nodding toward the" | | 7 | "Quinn crouched, her knees popping." | | 8 | "She didn’t touch the body," | | 9 | "She ignored him, running her" | | 10 | "The beam caught something—a glint," | | 11 | "She plucked it out with" | | 12 | "A brass button, tarnished green." | | 13 | "Patel leaned in." | | 14 | "She pocketed it" | | 15 | "Quinn stood, her gaze drifting" | | 16 | "The darkness there wasn’t natural." | | 17 | "It clung, thick as oil," | | 18 | "She’d seen it before—three years" | | 19 | "The same unnatural stillness." |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "His suit was expensive, the kind that didn’t wrinkle even after a tumble onto unforgiving ground." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 34 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0.5 | | effectiveRatio | 0.059 | |