| 83.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 3 | | adverbTags | | 0 | "The word tasted like [like]" | | 1 | "Tomás said quietly [quietly]" | | 2 | "her form dissipating like [like]" |
| | dialogueSentences | 45 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.15 | | effectiveRatio | 0.133 | |
| 89.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1438 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "precisely" | | 2 | "slightly" |
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| 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) | |
| 54.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1438 | | totalAiIsms | 13 | | found | | 0 | | word | "carried the weight" | | count | 1 |
| | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "carried the weight" | | 1 | "practiced ease" | | 2 | "gloom" | | 3 | "glinting" | | 4 | "wavered" | | 5 | "predator" | | 6 | "echo" | | 7 | "flicked" | | 8 | "velvet" | | 9 | "electric" | | 10 | "unreadable" | | 11 | "trembled" |
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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 | 1 | | narrationSentences | 76 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | 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 | 1422 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.90% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1049 | | uniqueNames | 9 | | maxNameDensity | 2 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Tomás" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Veil | 2 | | Market | 3 | | Morris | 3 | | Tube | 1 | | Tomás | 13 | | Spanish | 1 | | Music | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" | | 4 | "Tomás" | | 5 | "Music" |
| | places | | | globalScore | 0.499 | | windowScore | 0.5 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like tearing paper" | | 1 | "quite bone, from creatures that weren't quite dead" | | 2 | "quite human" | | 3 | "something like respect" |
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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 | 1422 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 101 | | matches | | 0 | "prickled, that cop screaming that they" |
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| 87.51% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 33.86 | | std | 15.45 | | cv | 0.456 | | sampleLengths | | 0 | 45 | | 1 | 68 | | 2 | 31 | | 3 | 60 | | 4 | 57 | | 5 | 52 | | 6 | 11 | | 7 | 27 | | 8 | 59 | | 9 | 37 | | 10 | 34 | | 11 | 23 | | 12 | 37 | | 13 | 29 | | 14 | 40 | | 15 | 18 | | 16 | 41 | | 17 | 16 | | 18 | 49 | | 19 | 18 | | 20 | 19 | | 21 | 28 | | 22 | 17 | | 23 | 43 | | 24 | 18 | | 25 | 40 | | 26 | 48 | | 27 | 28 | | 28 | 22 | | 29 | 42 | | 30 | 44 | | 31 | 74 | | 32 | 20 | | 33 | 14 | | 34 | 31 | | 35 | 37 | | 36 | 26 | | 37 | 29 | | 38 | 25 | | 39 | 21 | | 40 | 36 | | 41 | 8 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 76 | | matches | | 0 | "were carved" | | 1 | "were displayed" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 202 | | matches | | 0 | "was speaking" | | 1 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 101 | | ratio | 0.089 | | matches | | 0 | "The suspect—a scrawny kid with more piercings than sense—darted left into a narrow alley, nearly disappearing into the shadows between buildings." | | 1 | "Her partner's face flashed through her mind—Morris, eyes wide with confusion in his final moments—and she pushed harder." | | 2 | "A figure stood in the threshold—tall, broad-shouldered, with a medallion glinting at his throat." | | 3 | "\"I see her.\" The man—Tomás—stepped forward, blocking the doorway." | | 4 | "\"The hell it hasn't.\" Her free hand found the photograph in her pocket—Morris, grinning in front of the precinct, taken two days before he died." | | 5 | "A figure detached from the darkness near the turnstiles—a woman in a long coat, face obscured by a hood." | | 6 | "He hadn't moved, hadn't reached for a weapon, but there was something in his stance—ready, watchful, like he was waiting for a signal." | | 7 | "The space was vast, bigger than the station could possibly contain, filled with stalls and people—if they could be called people." | | 8 | "Goods were displayed that made her eyes hurt to look at directly—crystals that swirled with inner light, books bound in something that glistened, jars filled with substances that shouldn't exist." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1065 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03380281690140845 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009389671361502348 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 14.08 | | std | 6.66 | | cv | 0.473 | | sampleLengths | | 0 | 20 | | 1 | 25 | | 2 | 21 | | 3 | 3 | | 4 | 26 | | 5 | 18 | | 6 | 8 | | 7 | 23 | | 8 | 19 | | 9 | 12 | | 10 | 29 | | 11 | 19 | | 12 | 23 | | 13 | 15 | | 14 | 14 | | 15 | 14 | | 16 | 20 | | 17 | 4 | | 18 | 10 | | 19 | 1 | | 20 | 9 | | 21 | 14 | | 22 | 4 | | 23 | 11 | | 24 | 11 | | 25 | 10 | | 26 | 27 | | 27 | 29 | | 28 | 8 | | 29 | 12 | | 30 | 14 | | 31 | 8 | | 32 | 8 | | 33 | 15 | | 34 | 3 | | 35 | 24 | | 36 | 10 | | 37 | 21 | | 38 | 8 | | 39 | 25 | | 40 | 15 | | 41 | 13 | | 42 | 5 | | 43 | 8 | | 44 | 11 | | 45 | 14 | | 46 | 8 | | 47 | 16 | | 48 | 19 | | 49 | 16 |
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| 73.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.45544554455445546 | | totalSentences | 101 | | uniqueOpeners | 46 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "Instead, she pulled out her" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 76 | | matches | | 0 | "She'd been running down leads" | | 1 | "Her partner's face flashed through" | | 2 | "she shouted, voice cutting through" | | 3 | "He made a sharp turn" | | 4 | "His eyes, warm brown in" | | 5 | "she said, not a question" | | 6 | "Her flashlight never wavered from" | | 7 | "She'd heard whispers about the" | | 8 | "Her free hand found the" | | 9 | "She shifted her stance, putting" | | 10 | "she called out, voice steady" | | 11 | "She moved with a predator's" | | 12 | "Her eyes reflected back yellow," | | 13 | "He hadn't moved, hadn't reached" | | 14 | "she said, voice rough" |
| | ratio | 0.197 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 76 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "The suspect—a scrawny kid with" | | 2 | "Quinn didn't slow." | | 3 | "She'd been running down leads" | | 4 | "Her partner's face flashed through" | | 5 | "she shouted, voice cutting through" | | 6 | "The command carried the weight" | | 7 | "He made a sharp turn" | | 8 | "Quinn followed, her badge catching" | | 9 | "The darkness swallowed them whole," | | 10 | "The kid was already halfway" | | 11 | "Quinn's hand went to her" | | 12 | "The door at the end" | | 13 | "A figure stood in the" | | 14 | "This was no cop." | | 15 | "the kid gasped, words coming" | | 16 | "The man—Tomás—stepped forward, blocking the" | | 17 | "His eyes, warm brown in" | | 18 | "Quinn skidded to a halt," | | 19 | "The kid slipped past Tomás" |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 6 | | matches | | 0 | "The darkness swallowed them whole, and for a heartbeat she was back in that warehouse three years ago, chasing shadows that moved wrong, breathing that sounded …" | | 1 | "Her flashlight never wavered from Tomás's face, taking in the scar along his forearm, the way he stood like someone who'd seen worse than a pissed-off detective…" | | 2 | "She shifted her stance, putting her back to the wall, flashlight sweeping the platform." | | 3 | "Goods were displayed that made her eyes hurt to look at directly—crystals that swirled with inner light, books bound in something that glistened, jars filled wi…" | | 4 | "Quinn stood frozen, gun still raised, staring at the impossible market that had swallowed her suspect and so much more." | | 5 | "The music from the Market swelled, a siren song promising answers, promising truths that would burn her to ash." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "she shouted, voice cutting through the downpour" | | 1 | "the kid gasped, words coming out in ragged bursts" | | 2 | "Quinn kept, but her eyes flicked to Tomás" | | 3 | "she said, voice rough" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "the kid gasped (gasp)" | | 2 | "she called out (call out)" |
| | dialogueSentences | 45 | | tagDensity | 0.156 | | leniency | 0.311 | | rawRatio | 0.429 | | effectiveRatio | 0.133 | |