| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1008 | | 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) | |
| 0.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1008 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "scanned" | | 1 | "lurched" | | 2 | "pulse" | | 3 | "echoing" | | 4 | "flickered" | | 5 | "silence" | | 6 | "flicked" | | 7 | "charged" | | 8 | "footsteps" | | 9 | "echoed" | | 10 | "tinged" | | 11 | "weight" | | 12 | "pulsed" | | 13 | "chill" | | 14 | "flicker" | | 15 | "quivered" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 992 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 975 | | uniqueNames | 5 | | maxNameDensity | 1.54 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | (empty) | | globalScore | 0.731 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | 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 | 992 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 92.15% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 33.07 | | std | 15.62 | | cv | 0.473 | | sampleLengths | | 0 | 64 | | 1 | 23 | | 2 | 1 | | 3 | 39 | | 4 | 45 | | 5 | 39 | | 6 | 14 | | 7 | 5 | | 8 | 28 | | 9 | 36 | | 10 | 46 | | 11 | 46 | | 12 | 13 | | 13 | 6 | | 14 | 16 | | 15 | 19 | | 16 | 31 | | 17 | 43 | | 18 | 37 | | 19 | 41 | | 20 | 43 | | 21 | 40 | | 22 | 49 | | 23 | 43 | | 24 | 9 | | 25 | 37 | | 26 | 42 | | 27 | 40 | | 28 | 48 | | 29 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 95.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 121 | | ratio | 0.017 | | matches | | 0 | "One step forward would draw her deeper into unknown territory—a world where Morris had disappeared three years ago." | | 1 | "She caught a flicker of movement at the far end—a flash of the suspect’s coat disappearing behind an apothecary’s stand." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 991 | | adjectiveStacks | 2 | | stackExamples | | 0 | "green against rain-slicked brick." | | 1 | "over ankle-deep water." |
| | adverbCount | 8 | | adverbRatio | 0.008072653884964682 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0020181634712411706 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 8.2 | | std | 4.54 | | cv | 0.554 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 6 | | 3 | 10 | | 4 | 17 | | 5 | 18 | | 6 | 2 | | 7 | 3 | | 8 | 1 | | 9 | 11 | | 10 | 12 | | 11 | 16 | | 12 | 11 | | 13 | 10 | | 14 | 14 | | 15 | 7 | | 16 | 3 | | 17 | 12 | | 18 | 10 | | 19 | 11 | | 20 | 2 | | 21 | 4 | | 22 | 12 | | 23 | 2 | | 24 | 5 | | 25 | 13 | | 26 | 9 | | 27 | 5 | | 28 | 1 | | 29 | 5 | | 30 | 12 | | 31 | 13 | | 32 | 6 | | 33 | 19 | | 34 | 6 | | 35 | 6 | | 36 | 8 | | 37 | 1 | | 38 | 2 | | 39 | 4 | | 40 | 4 | | 41 | 1 | | 42 | 14 | | 43 | 10 | | 44 | 5 | | 45 | 12 | | 46 | 9 | | 47 | 4 | | 48 | 6 | | 49 | 6 |
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| 60.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38016528925619836 | | totalSentences | 121 | | uniqueOpeners | 46 | |
| 30.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 108 | | matches | | 0 | "Rather than slow, he vaulted" |
| | ratio | 0.009 | |
| 75.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 108 | | matches | | 0 | "Her breath came in flat" | | 1 | "She tightened her grip on" | | 2 | "He darted between two garbage" | | 3 | "She ignored it." | | 4 | "he rasped, gesturing with a" | | 5 | "He blew on his hands." | | 6 | "She holstered the radio and" | | 7 | "Her foot nudged a bone-white" | | 8 | "She bent, examined it under" | | 9 | "She ran through a service" | | 10 | "She rounded a corner and" | | 11 | "He paused, shoulders heaving, and" | | 12 | "she ordered, boots braced" | | 13 | "He froze, tunic sodden, eyes" | | 14 | "He held something small in" | | 15 | "He whirled, yanked the grate" | | 16 | "He slammed it shut behind" | | 17 | "It shuddered but refused to" | | 18 | "She crouched, pressed her ear" | | 19 | "She circled the grate, found" |
| | ratio | 0.361 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 108 | | matches | | 0 | "Rain pounded the pavement under" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "Her breath came in flat" | | 3 | "Rain plastered her closely cropped" | | 4 | "She tightened her grip on" | | 5 | "A dark shape bolted from" | | 6 | "Quinn lurched forward." | | 7 | "The suspect glanced over his" | | 8 | "Quinn powered after him, every" | | 9 | "The world narrowed: boots hitting" | | 10 | "He darted between two garbage" | | 11 | "Quinn caught the fence at" | | 12 | "A jagged cut opened along" | | 13 | "She ignored it." | | 14 | "The suspect vanished into a" | | 15 | "Neon from a distant sign" | | 16 | "Quinn slapped her shoulder for" | | 17 | "A homeless man huddled under" | | 18 | "The man flicked his eyes" | | 19 | "he rasped, gesturing with a" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "The world narrowed: boots hitting concrete, the slap of water, her pulse echoing in her ears." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "a flickering bulb revealed (reveal)" | | 1 | "she ordered (order)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |