| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | 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) | |
| 50.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "calculating" | | 1 | "electric" | | 2 | "standard" | | 3 | "structure" | | 4 | "silence" | | 5 | "tapestry" | | 6 | "flicker" | | 7 | "footsteps" | | 8 | "echoed" | | 9 | "weight" |
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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 | 85 | | matches | (empty) | |
| 75.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1106 | | ratio | 0.008 | | matches | | 0 | "No iron drawn. No names given. Token or blood." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1105 | | uniqueNames | 10 | | maxNameDensity | 0.72 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 8 | | Tomás | 1 | | Herrera | 5 | | Christopher | 1 | | Tube | 1 | | Morris | 1 | | Market | 1 | | You | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "You" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like teeth on a brass scale" | | 1 | "letters that seemed to shift when she didn't look at them directly, *No iron drawn" |
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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 | 1106 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 50.27 | | std | 30.02 | | cv | 0.597 | | sampleLengths | | 0 | 74 | | 1 | 9 | | 2 | 67 | | 3 | 84 | | 4 | 59 | | 5 | 54 | | 6 | 64 | | 7 | 14 | | 8 | 68 | | 9 | 41 | | 10 | 64 | | 11 | 82 | | 12 | 43 | | 13 | 16 | | 14 | 12 | | 15 | 90 | | 16 | 9 | | 17 | 110 | | 18 | 70 | | 19 | 53 | | 20 | 9 | | 21 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 187 | | matches | | 0 | "was swinging" | | 1 | "was telling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 85 | | ratio | 0.094 | | matches | | 0 | "He'd looked at her with those warm brown eyes, gone very still for half a second—the stillness of a man calculating distance and exits—and then he'd run." | | 1 | "The alley opened onto a derelict yard behind the Tube station—the old one, decommissioned decades ago, its entrance boarded and chained and plastered with faded warnings." | | 2 | "There was no through-route from here; she'd studied the maps." | | 3 | "A staircase descended into the earth, lit by lamps she couldn't place—not electric, the light too soft and gold for that." | | 4 | "She'd noticed it the way you notice a tooth gone missing—a sudden wrongness, a silence where there should have been the crackle of dispatch." | | 5 | "The walls were old white tile, cracked and yellowed, the kind she remembered from childhood platforms, but the lamps mounted along them held no bulbs—only a steady amber flame that didn't flicker in the draft." | | 6 | "The tracks below had been boarded over and turned into a thoroughfare packed with bodies—hooded figures, robed figures, a woman with a stall of glass bottles that glowed from within, a man weighing what looked like teeth on a brass scale." | | 7 | "Some deep and ancient part of her brain, older than the job, older than reason, was telling her in no uncertain terms that she had walked into a place where the rules she lived by did not apply—where her warrant card was a piece of damp cardboard and her authority meant nothing at all." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1116 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.017921146953405017 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005376344086021506 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.01 | | std | 10.63 | | cv | 0.817 | | sampleLengths | | 0 | 24 | | 1 | 28 | | 2 | 22 | | 3 | 9 | | 4 | 16 | | 5 | 27 | | 6 | 7 | | 7 | 17 | | 8 | 20 | | 9 | 14 | | 10 | 26 | | 11 | 2 | | 12 | 6 | | 13 | 5 | | 14 | 11 | | 15 | 19 | | 16 | 25 | | 17 | 6 | | 18 | 3 | | 19 | 6 | | 20 | 26 | | 21 | 5 | | 22 | 8 | | 23 | 2 | | 24 | 10 | | 25 | 3 | | 26 | 4 | | 27 | 32 | | 28 | 16 | | 29 | 12 | | 30 | 14 | | 31 | 15 | | 32 | 21 | | 33 | 16 | | 34 | 1 | | 35 | 2 | | 36 | 13 | | 37 | 13 | | 38 | 2 | | 39 | 20 | | 40 | 4 | | 41 | 2 | | 42 | 12 | | 43 | 24 | | 44 | 10 | | 45 | 1 | | 46 | 3 | | 47 | 14 | | 48 | 12 | | 49 | 7 |
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| 70.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4823529411764706 | | totalSentences | 85 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Then he was through, and" | | 1 | "Just a flat, dead hush," | | 2 | "Somewhere ahead, she could hear" |
| | ratio | 0.039 | |
| 95.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 77 | | matches | | 0 | "she shouted, though she knew" | | 1 | "He hadn't stopped when she'd" | | 2 | "He'd looked at her with" | | 3 | "She hit the alley at" | | 4 | "She'd noted it in the" | | 5 | "He cleared a low chain-link" | | 6 | "She didn't stop to feel" | | 7 | "She filed it and ran" | | 8 | "He'd cornered himself." | | 9 | "He reached the boarded entrance," | | 10 | "She stood there, chest heaving," | | 11 | "You did not pursue a" | | 12 | "You established a perimeter." | | 13 | "She'd noticed it the way" | | 14 | "She pulled it from her" | | 15 | "He had not walked out." | | 16 | "They'd told her there was" | | 17 | "He was halfway down those" | | 18 | "She looked at the warm" | | 19 | "She slipped the radio back" |
| | ratio | 0.312 | |
| 83.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 77 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn moved through" | | 2 | "she shouted, though she knew" | | 3 | "He hadn't stopped when she'd" | | 4 | "He'd looked at her with" | | 5 | "People didn't run unless they" | | 6 | "She hit the alley at" | | 7 | "The worn leather of her" | | 8 | "She'd noted it in the" | | 9 | "Saint Christopher, patron of travelers." | | 10 | "He cleared a low chain-link" | | 11 | "Quinn followed, planting both hands" | | 12 | "She didn't stop to feel" | | 13 | "Pain was information." | | 14 | "She filed it and ran" | | 15 | "The alley opened onto a" | | 16 | "Herrera made straight for it." | | 17 | "Quinn's mind worked even as" | | 18 | "He'd cornered himself." | | 19 | "He reached the boarded entrance," |
| | ratio | 0.753 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn moved through it at a dead run, her boots hammering the wet stone, water sheeting off the collar of her coat and down her neck." | | 1 | "The walls were old white tile, cracked and yellowed, the kind she remembered from childhood platforms, but the lamps mounted along them held no bulbs—only a ste…" | | 2 | "And for just a moment, before he turned and pressed deeper into the impossible crowd, his face wasn't the smug mask of a man who'd escaped." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |