| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said evenly [evenly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.2 | | effectiveRatio | 0.121 | |
| 95.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1088 | | 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) | |
| 63.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1088 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulsed" | | 1 | "scanned" | | 2 | "trembled" | | 3 | "etched" | | 4 | "familiar" | | 5 | "glinting" |
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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 | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 126 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 11 | | totalWords | 1065 | | ratio | 0.01 | | matches | | 0 | "anything" | | 1 | "isn’t" | | 2 | "not" | | 3 | "twitch-twitch" | | 4 | "Eva Kowalski" | | 5 | "stepped" | | 6 | "died" | | 7 | "let" | | 8 | "threshold" | | 9 | "cracked" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 689 | | uniqueNames | 11 | | maxNameDensity | 1.6 | | worstName | "Bray" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Bray" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Carl | 1 | | Bray | 11 | | Victorian | 1 | | Bluetooth | 1 | | Veil | 1 | | Compass | 2 | | Morris | 1 | | Kowalski | 1 | | Like | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Carl" | | 3 | "Bray" | | 4 | "Compass" | | 5 | "Morris" | | 6 | "Kowalski" | | 7 | "Like" |
| | places | (empty) | | globalScore | 0.702 | | windowScore | 0.833 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like bone ash" | | 1 | "as if breathing" |
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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 | 1065 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 15.43 | | std | 12.5 | | cv | 0.81 | | sampleLengths | | 0 | 9 | | 1 | 49 | | 2 | 39 | | 3 | 40 | | 4 | 7 | | 5 | 11 | | 6 | 51 | | 7 | 40 | | 8 | 31 | | 9 | 5 | | 10 | 20 | | 11 | 23 | | 12 | 6 | | 13 | 3 | | 14 | 33 | | 15 | 20 | | 16 | 22 | | 17 | 18 | | 18 | 7 | | 19 | 17 | | 20 | 2 | | 21 | 2 | | 22 | 4 | | 23 | 6 | | 24 | 4 | | 25 | 8 | | 26 | 15 | | 27 | 39 | | 28 | 5 | | 29 | 7 | | 30 | 31 | | 31 | 11 | | 32 | 7 | | 33 | 20 | | 34 | 14 | | 35 | 24 | | 36 | 3 | | 37 | 27 | | 38 | 4 | | 39 | 13 | | 40 | 20 | | 41 | 2 | | 42 | 15 | | 43 | 11 | | 44 | 42 | | 45 | 12 | | 46 | 10 | | 47 | 40 | | 48 | 18 | | 49 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 18 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 149 | | ratio | 0.081 | | matches | | 0 | "The walls pulsed with low, flickering bioluminescent lichen—someone had painted the place with glow-in-the-dark fungi." | | 1 | "His torch beam danced over the corpse’s face—one eye open, milky, the other swallowed by shadow." | | 2 | "The air smelled wrong—damp, yes, but underneath it, something cloying." | | 3 | "Then—carefully—she opened the inner pocket of her coat." | | 4 | "Then locked—*twitch-twitch*—pointing straight down." | | 5 | "But his trainers—custom-made." | | 6 | "Underneath—etched into the concrete—a circular sigil." | | 7 | "This time, she pulled out a small, smooth fragment—ivory, carved with a spiral." | | 8 | "For a heartbeat—nothing." | | 9 | "And down the passage—where there had been only darkness—a faint glow began to rise." | | 10 | "Then, from the dark, a voice—soft, lilting, familiar." | | 11 | "And in her hand—freshly stained, still dripping—a knife carved from blackened bone." |
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| 97.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.0423728813559322 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009887005649717515 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 7.15 | | std | 6.86 | | cv | 0.959 | | sampleLengths | | 0 | 4 | | 1 | 5 | | 2 | 28 | | 3 | 15 | | 4 | 3 | | 5 | 3 | | 6 | 13 | | 7 | 16 | | 8 | 10 | | 9 | 3 | | 10 | 14 | | 11 | 2 | | 12 | 3 | | 13 | 10 | | 14 | 2 | | 15 | 6 | | 16 | 7 | | 17 | 3 | | 18 | 8 | | 19 | 12 | | 20 | 8 | | 21 | 7 | | 22 | 3 | | 23 | 3 | | 24 | 2 | | 25 | 2 | | 26 | 14 | | 27 | 8 | | 28 | 32 | | 29 | 3 | | 30 | 9 | | 31 | 4 | | 32 | 3 | | 33 | 2 | | 34 | 4 | | 35 | 6 | | 36 | 5 | | 37 | 8 | | 38 | 1 | | 39 | 7 | | 40 | 4 | | 41 | 15 | | 42 | 8 | | 43 | 6 | | 44 | 2 | | 45 | 1 | | 46 | 33 | | 47 | 7 | | 48 | 13 | | 49 | 3 |
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| 64.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.42953020134228187 | | totalSentences | 149 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 97 | | matches | | 0 | "Too clean for someone dragged" | | 1 | "Then—carefully—she opened the inner pocket" | | 2 | "Then locked—*twitch-twitch*—pointing straight down." | | 3 | "Instead, she crouched again, ran" | | 4 | "Then at the red band" | | 5 | "Instead, she pressed it into" | | 6 | "Then the air *cracked*." | | 7 | "Then, from the dark, a" |
| | ratio | 0.082 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 97 | | matches | | 0 | "His torch beam danced over" | | 1 | "She stepped forward, slow, her" | | 2 | "they weren’t Victorian." | | 3 | "She ignored him." | | 4 | "His fingernails were clean." | | 5 | "She reached into her coat," | | 6 | "Her worn leather watch creaked" | | 7 | "She pressed two fingers to" | | 8 | "She pulled out her phone," | | 9 | "She pressed it against the" | | 10 | "She stood, slow." | | 11 | "she said evenly" | | 12 | "She stared at it." | | 13 | "she said quietly" | | 14 | "She looked down the tunnel." | | 15 | "She slipped the Compass back" | | 16 | "She didn’t show it to" | | 17 | "Her breath stilled." | | 18 | "Her hand went to her" | | 19 | "Her worn leather satchel slung" |
| | ratio | 0.206 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 97 | | matches | | 0 | "The door wasn’t broken." | | 1 | "That’s what bothered her first." | | 2 | "Detective Harlow Quinn stood in" | | 3 | "The walls pulsed with low," | | 4 | "His torch beam danced over" | | 5 | "Quinn didn’t answer." | | 6 | "She stepped forward, slow, her" | | 7 | "The air smelled wrong—damp, yes," | | 8 | "Bray glanced up." | | 9 | "Quinn turned, sweeping her torch" | | 10 | "The curve of the tunnel" | | 11 | "The gradient off by half" | | 12 | "they weren’t Victorian." | | 13 | "Bray stood, wiping his gloves" | | 14 | "She ignored him." | | 15 | "Fingers splayed, palms flat." | | 16 | "His fingernails were clean." | | 17 | "She reached into her coat," | | 18 | "Her worn leather watch creaked" | | 19 | "Bray laughed, short and brittle" |
| | ratio | 0.598 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0.125 | | effectiveRatio | 0.061 | |