| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1310 | | 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) | |
| 46.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1310 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "practiced ease" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "flicker" | | 1 | "weight" | | 2 | "gloom" | | 3 | "echoing" | | 4 | "practiced ease" | | 5 | "shimmered" | | 6 | "navigate" | | 7 | "echo" | | 8 | "silence" | | 9 | "pounding" | | 10 | "charged" | | 11 | "echoed" | | 12 | "pulsed" |
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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 | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1302 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1048 | | uniqueNames | 14 | | maxNameDensity | 1.91 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 20 | | Brewer | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Veil | 2 | | Market | 2 | | Morris | 2 | | Victorian | 1 | | Tube | 1 | | Three | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Silas" | | 4 | "Market" | | 5 | "Morris" |
| | places | | 0 | "Detective" | | 1 | "Brewer" | | 2 | "Street" |
| | globalScore | 0.546 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | 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 | 1302 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 146 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 24.57 | | std | 12.9 | | cv | 0.525 | | sampleLengths | | 0 | 34 | | 1 | 41 | | 2 | 2 | | 3 | 39 | | 4 | 26 | | 5 | 26 | | 6 | 35 | | 7 | 4 | | 8 | 41 | | 9 | 35 | | 10 | 36 | | 11 | 45 | | 12 | 33 | | 13 | 43 | | 14 | 39 | | 15 | 2 | | 16 | 40 | | 17 | 3 | | 18 | 25 | | 19 | 12 | | 20 | 38 | | 21 | 27 | | 22 | 3 | | 23 | 26 | | 24 | 1 | | 25 | 26 | | 26 | 5 | | 27 | 31 | | 28 | 16 | | 29 | 18 | | 30 | 16 | | 31 | 27 | | 32 | 31 | | 33 | 29 | | 34 | 40 | | 35 | 40 | | 36 | 26 | | 37 | 27 | | 38 | 33 | | 39 | 36 | | 40 | 8 | | 41 | 24 | | 42 | 29 | | 43 | 8 | | 44 | 18 | | 45 | 5 | | 46 | 30 | | 47 | 4 | | 48 | 25 | | 49 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 190 | | matches | | |
| 25.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 146 | | ratio | 0.041 | | matches | | 0 | "The suspect glanced back—pale face, dark eyes, features already fading from memory." | | 1 | "No key, no handle—just the token in her palm growing warm, almost humming against her skin." | | 2 | "The walls here were older than the buildings above—proper Victorian brickwork, but with symbols carved into the mortar that hurt her eyes if she stared too long." | | 3 | "And everywhere, the bone tokens—some worn smooth, others freshly carved." | | 4 | "The air changed immediately—colder, damper." | | 5 | "The pouch the woman had given her—she still had most of it." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1056 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.036931818181818184 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007575757575757576 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 8.92 | | std | 5.51 | | cv | 0.618 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 12 | | 3 | 13 | | 4 | 16 | | 5 | 2 | | 6 | 7 | | 7 | 12 | | 8 | 5 | | 9 | 15 | | 10 | 8 | | 11 | 10 | | 12 | 1 | | 13 | 5 | | 14 | 2 | | 15 | 7 | | 16 | 14 | | 17 | 3 | | 18 | 2 | | 19 | 10 | | 20 | 13 | | 21 | 5 | | 22 | 7 | | 23 | 4 | | 24 | 5 | | 25 | 16 | | 26 | 7 | | 27 | 2 | | 28 | 11 | | 29 | 7 | | 30 | 11 | | 31 | 2 | | 32 | 2 | | 33 | 13 | | 34 | 9 | | 35 | 27 | | 36 | 7 | | 37 | 8 | | 38 | 4 | | 39 | 8 | | 40 | 6 | | 41 | 12 | | 42 | 3 | | 43 | 15 | | 44 | 3 | | 45 | 5 | | 46 | 7 | | 47 | 13 | | 48 | 5 | | 49 | 7 |
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| 65.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4178082191780822 | | totalSentences | 146 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 110 | | matches | | 0 | "Always one step ahead of" | | 1 | "Just darkness and the echo" | | 2 | "Only when it had disappeared" | | 3 | "Maybe there was something more" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 110 | | matches | | 0 | "She didn't need to check" | | 1 | "Her voice bounced off the" | | 2 | "She tested the handle anyway." | | 3 | "Her fingers brushed against the" | | 4 | "She'd kept it against protocol." | | 5 | "Her torch beam cut through" | | 6 | "She'd heard whispers, seen references" | | 7 | "Her suspect moved through the" | | 8 | "She smiled, revealing teeth that" | | 9 | "She knew better." | | 10 | "It felt warm, heavy for" | | 11 | "Her torch beam cut through" | | 12 | "She opened it, pouring a" | | 13 | "It glowed faintly, then drifted" | | 14 | "She passed doorways that led" | | 15 | "Her eyes strained to adjust," | | 16 | "Its eyes reflected what little" | | 17 | "She pressed onward, deeper into" | | 18 | "Her suspect stood in the" | | 19 | "Her weapon felt suddenly inadequate," |
| | ratio | 0.182 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 110 | | matches | | 0 | "The bone token burned a" | | 1 | "Quinn broke into a run," | | 2 | "The green neon sign of" | | 3 | "She didn't need to check" | | 4 | "Her voice bounced off the" | | 5 | "The suspect glanced back—pale face," | | 6 | "Another ghost, another loose end." | | 7 | "The alley dead-ended at a" | | 8 | "Quinn skidded to a halt" | | 9 | "She tested the handle anyway." | | 10 | "A flicker of movement caught" | | 11 | "Her fingers brushed against the" | | 12 | "Evidence from another case, another" | | 13 | "She'd kept it against protocol." | | 14 | "Something told her she'd need" | | 15 | "The service door clicked open." | | 16 | "Quinn drew her weapon, checking" | | 17 | "The air thickened with the" | | 18 | "Her torch beam cut through" | | 19 | "Quinn descended, each step echoing" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "The walls here were older than the buildings above—proper Victorian brickwork, but with symbols carved into the mortar that hurt her eyes if she stared too long…" | | 1 | "She smiled, revealing teeth that were just a little too sharp." | | 2 | "It glowed faintly, then drifted forward as if carried by an invisible breeze, forming a path down the left tunnel." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn called out (call out)" | | 1 | "The knife pressed (press)" |
| | dialogueSentences | 32 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 1 | | effectiveRatio | 0.125 | |