| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.125 | | effectiveRatio | 0.077 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1508 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 20.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1508 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "echoed" | | 1 | "loomed" | | 2 | "pulse" | | 3 | "footfall" | | 4 | "flicked" | | 5 | "dancing" | | 6 | "etched" | | 7 | "gloom" | | 8 | "predictable" | | 9 | "scanned" | | 10 | "silk" | | 11 | "footsteps" | | 12 | "echoing" | | 13 | "trembled" | | 14 | "shimmered" | | 15 | "weight" |
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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 | 171 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 171 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | 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 | 1489 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1331 | | uniqueNames | 13 | | maxNameDensity | 1.2 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 16 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | London | 1 | | Morris | 1 | | Herrera | 5 | | Christopher | 1 | | Rain | 5 | | Camden | 1 | | Road | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Herrera" | | 5 | "Christopher" | | 6 | "Rain" |
| | places | | 0 | "Market" | | 1 | "London" | | 2 | "Camden" | | 3 | "Road" |
| | globalScore | 0.899 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1489 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 28.63 | | std | 15.18 | | cv | 0.53 | | sampleLengths | | 0 | 41 | | 1 | 43 | | 2 | 40 | | 3 | 55 | | 4 | 45 | | 5 | 39 | | 6 | 13 | | 7 | 17 | | 8 | 45 | | 9 | 25 | | 10 | 11 | | 11 | 54 | | 12 | 37 | | 13 | 47 | | 14 | 54 | | 15 | 42 | | 16 | 7 | | 17 | 7 | | 18 | 29 | | 19 | 44 | | 20 | 54 | | 21 | 19 | | 22 | 14 | | 23 | 39 | | 24 | 45 | | 25 | 18 | | 26 | 18 | | 27 | 10 | | 28 | 16 | | 29 | 25 | | 30 | 8 | | 31 | 28 | | 32 | 3 | | 33 | 19 | | 34 | 22 | | 35 | 17 | | 36 | 41 | | 37 | 41 | | 38 | 7 | | 39 | 32 | | 40 | 18 | | 41 | 24 | | 42 | 32 | | 43 | 37 | | 44 | 51 | | 45 | 30 | | 46 | 8 | | 47 | 12 | | 48 | 37 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 171 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 264 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 188 | | ratio | 0.064 | | matches | | 0 | "Brown eyes tracked the figure ahead—slim, hooded, darting through the storm-soaked night." | | 1 | "Quinn limped — a phantom twinge in her right knee reminded her of last month’s falls." | | 2 | "Quinn caught a flash of a bone token—small, carved, white against the coat." | | 3 | "A dozen figures flitted between them—hunched forms, silhouettes with elongated limbs." | | 4 | "The air held the scent of burning lavender, and something beneath it—smoke that tasted like despair." | | 5 | "The stallholder—an ivory-skinned man with no mouth, just smooth flesh where a grin should be—pushed a mountain of bone tokens." | | 6 | "Figures melted into that void—one of them could be her suspect." | | 7 | "She saw footprints in the dust—small, pointed shoes." | | 8 | "The voice carried a foreign accent—soft, precise." | | 9 | "The unknown wasn’t invitation; it was choice." | | 10 | "Her torch swung to catch a shape—a winged creature swooping close." | | 11 | "She glanced at Herrera—he kept his distance, medallion shining like a talisman." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 165 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.006060606060606061 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.006060606060606061 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 7.92 | | std | 5.09 | | cv | 0.643 | | sampleLengths | | 0 | 4 | | 1 | 5 | | 2 | 20 | | 3 | 12 | | 4 | 11 | | 5 | 11 | | 6 | 17 | | 7 | 4 | | 8 | 9 | | 9 | 6 | | 10 | 6 | | 11 | 15 | | 12 | 4 | | 13 | 16 | | 14 | 9 | | 15 | 19 | | 16 | 11 | | 17 | 5 | | 18 | 9 | | 19 | 13 | | 20 | 10 | | 21 | 8 | | 22 | 9 | | 23 | 8 | | 24 | 5 | | 25 | 7 | | 26 | 4 | | 27 | 6 | | 28 | 9 | | 29 | 4 | | 30 | 10 | | 31 | 5 | | 32 | 2 | | 33 | 13 | | 34 | 6 | | 35 | 7 | | 36 | 4 | | 37 | 3 | | 38 | 12 | | 39 | 5 | | 40 | 4 | | 41 | 8 | | 42 | 8 | | 43 | 11 | | 44 | 8 | | 45 | 13 | | 46 | 4 | | 47 | 3 | | 48 | 9 | | 49 | 6 |
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| 55.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3670212765957447 | | totalSentences | 188 | | uniqueOpeners | 69 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 156 | | matches | (empty) | | ratio | 0 | |
| 91.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 156 | | matches | | 0 | "She skirted the entrance, boots" | | 1 | "she barked, voice swallowed by" | | 2 | "Her words echoed off brick" | | 3 | "She shoved it away, military" | | 4 | "She pushed past a row" | | 5 | "She recognized it from the" | | 6 | "She leapt the low brick" | | 7 | "She lunged, fingertips grazing the" | | 8 | "Her name drifted in the" | | 9 | "It slid down two bricks," | | 10 | "She caught her breath." | | 11 | "She squared her shoulders, toes" | | 12 | "She tapped her watch." | | 13 | "She recalled DS Morris, partner" | | 14 | "She didn’t know what lurked" | | 15 | "She stepped forward, boots crunching" | | 16 | "She flicked on a slim" | | 17 | "She descended faster, back pressed" | | 18 | "It met her gaze, teeth" | | 19 | "It tucked the satchel under" |
| | ratio | 0.321 | |
| 20.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 137 | | totalSentences | 156 | | matches | | 0 | "Neon bled across slick asphalt." | | 1 | "Detective Harlow Quinn sprinted beneath" | | 2 | "Brown eyes tracked the figure" | | 3 | "A burst of thunder rattled" | | 4 | "She skirted the entrance, boots" | | 5 | "she barked, voice swallowed by" | | 6 | "Her words echoed off brick" | | 7 | "The suspect hunched forward, shoulders" | | 8 | "The coat’s hood slipped just" | | 9 | "A flash of vulnerability." | | 10 | "Quinn limped — a phantom" | | 11 | "She shoved it away, military" | | 12 | "She pushed past a row" | | 13 | "Every glare of a passing" | | 14 | "A side alley yawned ahead." | | 15 | "The suspect dove in, ankle" | | 16 | "Quinn caught a flash of" | | 17 | "She recognized it from the" | | 18 | "The black market that thrummed" | | 19 | "She leapt the low brick" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 156 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 3 | | matches | | 0 | "She skirted the entrance, boots squelching, ignoring the low hum of jazz that leaked into the street." | | 1 | "Arches rose on either side, framing stalls and tables heaped with oddities: jars of writhing toxins, bones etched with runes, vials that glowed pale green." | | 2 | "Flickering lanterns outlined other vendors: a dwarf with a braided beard forging metallic leaves that hummed, a woman draped in nets spinning spider-silk strand…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she barked, voice swallowed by water and wind" | | 1 | "It melted back, satchel creaking" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0.667 | | effectiveRatio | 0.154 | |