| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.339 | | leniency | 0.679 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1625 | | totalAiIsmAdverbs | 2 | | 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) | |
| 38.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1625 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "rhythmic" | | 1 | "dancing" | | 2 | "practiced ease" | | 3 | "standard" | | 4 | "silence" | | 5 | "scanned" | | 6 | "weight" | | 7 | "echoed" | | 8 | "traced" | | 9 | "shimmered" | | 10 | "etched" | | 11 | "vibrated" | | 12 | "magnetic" | | 13 | "perfect" | | 14 | "resonance" | | 15 | "unsettled" |
| |
| 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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1616 | | ratio | 0.003 | | matches | | 0 | "Face etched with protective sigils" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1123 | | uniqueNames | 15 | | maxNameDensity | 2.14 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Quinn | 24 | | Camden | 1 | | Miller | 17 | | Maglite | 1 | | Rigor | 1 | | Metro | 1 | | Eva | 1 | | Kowalski | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 | | British | 1 | | Museum | 1 | | Harlow | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Miller" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Morris" | | 5 | "Harlow" |
| | places | | | globalScore | 0.431 | | windowScore | 0.5 | |
| 88.27% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 2 | | matches | | 0 | "as if trying to break through" | | 1 | "the darkness seemingly parting around her" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.619 | | wordCount | 1616 | | matches | | 0 | "not with manufacturer stamps, but with geometric sigils" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 23.76 | | std | 17.53 | | cv | 0.738 | | sampleLengths | | 0 | 65 | | 1 | 17 | | 2 | 11 | | 3 | 56 | | 4 | 3 | | 5 | 18 | | 6 | 22 | | 7 | 50 | | 8 | 23 | | 9 | 3 | | 10 | 39 | | 11 | 28 | | 12 | 47 | | 13 | 3 | | 14 | 15 | | 15 | 24 | | 16 | 13 | | 17 | 15 | | 18 | 48 | | 19 | 34 | | 20 | 6 | | 21 | 23 | | 22 | 14 | | 23 | 31 | | 24 | 3 | | 25 | 12 | | 26 | 28 | | 27 | 25 | | 28 | 18 | | 29 | 65 | | 30 | 7 | | 31 | 9 | | 32 | 16 | | 33 | 31 | | 34 | 3 | | 35 | 34 | | 36 | 37 | | 37 | 19 | | 38 | 43 | | 39 | 13 | | 40 | 36 | | 41 | 8 | | 42 | 6 | | 43 | 7 | | 44 | 26 | | 45 | 29 | | 46 | 25 | | 47 | 10 | | 48 | 34 | | 49 | 6 |
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| 93.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 119 | | matches | | 0 | "was carbonized" | | 1 | "been seared" | | 2 | "were torn" | | 3 | "was etched" |
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| 25.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 191 | | matches | | 0 | "was setting" | | 1 | "was pulling" | | 2 | "wasn't crumbling" | | 3 | "were moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 4 | | flaggedSentences | 8 | | totalSentences | 156 | | ratio | 0.051 | | matches | | 0 | "The stairs leading down into the darkness of the disused Camden service tunnels smelled of wet concrete and something sharper, distinct—like a battery shorting out in a damp room." | | 1 | "The capillaries in the sclera hadn't burst; they were black." | | 2 | "Four distinct burns, arranged like fingertips, but the tissue wasn't crushed; it was carbonized." | | 3 | "Rigor was setting in fast—too fast for a body that was still warm to the touch." | | 4 | "The casing was etched, not with manufacturer stamps, but with geometric sigils—sharp, angular lines that hurt the eyes if you stared too long." | | 5 | "It wasn't drifting; it was pulling, tapping against the glass as if trying to break through." | | 6 | "The mortar between the bricks wasn't crumbling; it was missing entirely in a perfect rectangular outline, yet the bricks held firm." | | 7 | "Crude, carved from a knuckle—human or animal, difficult to tell—with a single rune burned into the center." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1130 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slick, refuse-strewn steps" |
| | adverbCount | 32 | | adverbRatio | 0.02831858407079646 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010619469026548672 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 10.36 | | std | 7.66 | | cv | 0.74 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 29 | | 3 | 17 | | 4 | 11 | | 5 | 3 | | 6 | 16 | | 7 | 17 | | 8 | 9 | | 9 | 11 | | 10 | 3 | | 11 | 18 | | 12 | 22 | | 13 | 9 | | 14 | 10 | | 15 | 4 | | 16 | 8 | | 17 | 19 | | 18 | 5 | | 19 | 11 | | 20 | 2 | | 21 | 3 | | 22 | 2 | | 23 | 3 | | 24 | 9 | | 25 | 30 | | 26 | 14 | | 27 | 4 | | 28 | 10 | | 29 | 6 | | 30 | 3 | | 31 | 6 | | 32 | 2 | | 33 | 15 | | 34 | 10 | | 35 | 3 | | 36 | 2 | | 37 | 3 | | 38 | 10 | | 39 | 5 | | 40 | 4 | | 41 | 14 | | 42 | 6 | | 43 | 13 | | 44 | 7 | | 45 | 8 | | 46 | 32 | | 47 | 16 | | 48 | 4 | | 49 | 8 |
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| 66.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4423076923076923 | | totalSentences | 156 | | uniqueOpeners | 69 | |
| 31.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 106 | | matches | | 0 | "Then, a low, thrumming resonance," |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 106 | | matches | | 0 | "She focused on the descent," | | 1 | "Her breath plumed in the" | | 2 | "She approached the body." | | 3 | "He wore a heavy wool" | | 4 | "She crouched, knees cracking slightly." | | 5 | "She snapped them on." | | 6 | "She reached for the victim’s" | | 7 | "She checked the hands." | | 8 | "She scraped a sample onto" | | 9 | "It wasn't concrete dust or" | | 10 | "It shimmered slightly, iridescent under" | | 11 | "She stood up, brushing the" | | 12 | "She trailed off, looking at" | | 13 | "She turned her attention to" | | 14 | "It was heavy, brass, coated" | | 15 | "She had seen similar scratchings" | | 16 | "She held it flat." | | 17 | "It wasn't drifting; it was" | | 18 | "She pocketed the brass device." | | 19 | "She stepped over the legs," |
| | ratio | 0.292 | |
| 30.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 106 | | matches | | 0 | "Harlow Quinn ducked under the" | | 1 | "The stairs leading down into" | | 2 | "DC Miller was already halfway" | | 3 | "Quinn didn't answer." | | 4 | "She focused on the descent," | | 5 | "Her breath plumed in the" | | 6 | "Miller swung his light toward" | | 7 | "Quinn moved past him, the" | | 8 | "The silence down here felt" | | 9 | "She approached the body." | | 10 | "A male, mid-thirties, crumpled against" | | 11 | "He wore a heavy wool" | | 12 | "She crouched, knees cracking slightly." | | 13 | "The sharp jaw set tight" | | 14 | "Miller shifted his weight, boots" | | 15 | "Quinn ignored the hypothesis and" | | 16 | "She snapped them on." | | 17 | "The sound echoed like a" | | 18 | "She reached for the victim’s" | | 19 | "The eyes were open, staring" |
| | ratio | 0.858 | |
| 47.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 106 | | matches | | | ratio | 0.009 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "It was heavy, brass, coated in a thick layer of verdigris that stained her latex glove green." | | 1 | "The casing was etched, not with manufacturer stamps, but with geometric sigils—sharp, angular lines that hurt the eyes if you stared too long." | | 2 | "It wasn't drifting; it was pulling, tapping against the glass as if trying to break through." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn corrected, though the geometry made no sense" | | 1 | "Quinn said, her voice dropping to a register that brooked no argument" |
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| 60.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "Miller muttered (mutter)" | | 2 | "Miller stated (state)" | | 3 | "Quinn murmured (murmur)" | | 4 | "Quinn ordered (order)" |
| | dialogueSentences | 56 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.625 | | effectiveRatio | 0.179 | |