| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stood abruptly [abruptly]" |
| | dialogueSentences | 27 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0.2 | | effectiveRatio | 0.074 | |
| 90.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 554 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 554 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "maw" | | 1 | "stomach" | | 2 | "silence" | | 3 | "measured" | | 4 | "tension" | | 5 | "tracing" | | 6 | "flicked" | | 7 | "silk" | | 8 | "etched" | | 9 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 6 | | totalWords | 552 | | ratio | 0.011 | | matches | | 0 | "pulled" | | 1 | "too" | | 2 | "not" | | 3 | "wrong" | | 4 | "test" | | 5 | "gate" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 11.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 398 | | uniqueNames | 9 | | maxNameDensity | 2.76 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Veil | 2 | | Market | 2 | | Detective | 2 | | Quinn | 11 | | Tube | 1 | | Davies | 9 | | Sigma | 1 | | Kowalski | 1 | | Eva | 4 |
| | persons | | 0 | "Market" | | 1 | "Detective" | | 2 | "Quinn" | | 3 | "Davies" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.118 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 25 | | glossingSentenceCount | 2 | | matches | | 0 | "quite hide the tension coiled in her shoulders" | | 1 | "Something like polished bone, etched with si" |
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| 18.84% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.812 | | wordCount | 552 | | matches | | 0 | "not with rope, but with something smooth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 19.03 | | std | 14.76 | | cv | 0.775 | | sampleLengths | | 0 | 61 | | 1 | 39 | | 2 | 19 | | 3 | 4 | | 4 | 12 | | 5 | 51 | | 6 | 22 | | 7 | 28 | | 8 | 6 | | 9 | 20 | | 10 | 47 | | 11 | 11 | | 12 | 11 | | 13 | 17 | | 14 | 8 | | 15 | 13 | | 16 | 14 | | 17 | 6 | | 18 | 41 | | 19 | 12 | | 20 | 17 | | 21 | 7 | | 22 | 14 | | 23 | 12 | | 24 | 4 | | 25 | 4 | | 26 | 26 | | 27 | 14 | | 28 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 73 | | matches | | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 69 | | ratio | 0.043 | | matches | | 0 | "The air here wasn’t just damp—it *pulled*, thick with the scent of damp earth and something older, something that made her stomach tighten." | | 1 | "A body lay sprawled on the platform, the fabric of its coat torn, the back of its neck—*too* clean." | | 2 | "The body’s hands were bound behind its back—not with rope, but with something smooth and unyielding." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 400 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.0375 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.015 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 8 | | std | 5.6 | | cv | 0.7 | | sampleLengths | | 0 | 18 | | 1 | 23 | | 2 | 20 | | 3 | 10 | | 4 | 27 | | 5 | 2 | | 6 | 3 | | 7 | 14 | | 8 | 2 | | 9 | 4 | | 10 | 12 | | 11 | 8 | | 12 | 19 | | 13 | 2 | | 14 | 4 | | 15 | 18 | | 16 | 7 | | 17 | 15 | | 18 | 3 | | 19 | 11 | | 20 | 7 | | 21 | 7 | | 22 | 2 | | 23 | 4 | | 24 | 16 | | 25 | 4 | | 26 | 16 | | 27 | 8 | | 28 | 4 | | 29 | 2 | | 30 | 2 | | 31 | 15 | | 32 | 11 | | 33 | 3 | | 34 | 8 | | 35 | 4 | | 36 | 7 | | 37 | 6 | | 38 | 2 | | 39 | 6 | | 40 | 8 | | 41 | 5 | | 42 | 3 | | 43 | 11 | | 44 | 6 | | 45 | 17 | | 46 | 12 | | 47 | 6 | | 48 | 6 | | 49 | 4 |
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| 50.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.34782608695652173 | | totalSentences | 69 | | uniqueOpeners | 24 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 41 | | matches | | 0 | "Just a single, jagged symbol" | | 1 | "Then Davies exhaled, her frustration" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 41 | | matches | | 0 | "She only exhaled sharply, her" | | 1 | "She crouched beside the corpse," | | 2 | "She stood abruptly" | | 3 | "She carried a satchel, the" | | 4 | "she said, her voice steady" | | 5 | "It was a *gate*." | | 6 | "She turned back to the" |
| | ratio | 0.171 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 41 | | matches | | 0 | "The Veil Market’s entrance yawned" | | 1 | "The air here wasn’t just" | | 2 | "The shadows beneath the flickering" | | 3 | "a voice cut through the" | | 4 | "Detective Davies stood a few" | | 5 | "Quinn didn’t turn." | | 6 | "She only exhaled sharply, her" | | 7 | "Davies finally glanced at the" | | 8 | "A body lay sprawled on" | | 9 | "Quinn didn’t answer." | | 10 | "She crouched beside the corpse," | | 11 | "She stood abruptly" | | 12 | "Quinn’s gaze flicked to the" | | 13 | "The body’s hands were bound" | | 14 | "Quinn reached out, her fingers" | | 15 | "The material was *wrong*." | | 16 | "Something like polished bone, etched" | | 17 | "Davies said, her voice low" | | 18 | "Quinn ignored her." | | 19 | "A beat of silence." |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 3 | | matches | | 0 | "The air here wasn’t just damp—it *pulled*, thick with the scent of damp earth and something older, something that made her stomach tighten." | | 1 | "Detective Davies stood a few paces back, arms crossed, her dark hair pulled into a tight bun that didn’t quite hide the tension coiled in her shoulders." | | 2 | "Eva Kowalski stepped inside, her curly red hair catching the light, her glasses reflecting the dim glow." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "Davies said, her voice low" | | 1 | "she said, her voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Davies muttered (mutter)" |
| | dialogueSentences | 27 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0.25 | | effectiveRatio | 0.074 | |