| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.519 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1475 | | 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) | |
| 32.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1475 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "carried the weight" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pounding" | | 1 | "flicker" | | 2 | "maw" | | 3 | "echoed" | | 4 | "footsteps" | | 5 | "echoing" | | 6 | "chaotic" | | 7 | "velvet" | | 8 | "carried the weight" | | 9 | "cacophony" | | 10 | "scanning" | | 11 | "silk" | | 12 | "silence" | | 13 | "hulking" | | 14 | "vibrated" | | 15 | "shattered" | | 16 | "pulse" | | 17 | "depths" |
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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 | 117 | | matches | (empty) | |
| 81.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1475 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1341 | | uniqueNames | 15 | | maxNameDensity | 1.64 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 22 | | Saint | 2 | | Christopher | 2 | | Herrera | 15 | | Tube | 1 | | London | 1 | | Northern | 1 | | Line | 1 | | Veil | 2 | | Market | 2 | | Victorian | 2 | | Morris | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Herrera" | | 5 | "Market" | | 6 | "Morris" |
| | places | | 0 | "London" | | 1 | "Line" | | 2 | "Detective" |
| | globalScore | 0.68 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | 0 | "books that seemed to breathe, their covers rising and falling in slow unison" |
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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 | 1475 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 35.12 | | std | 21.84 | | cv | 0.622 | | sampleLengths | | 0 | 75 | | 1 | 66 | | 2 | 18 | | 3 | 63 | | 4 | 46 | | 5 | 77 | | 6 | 66 | | 7 | 29 | | 8 | 55 | | 9 | 26 | | 10 | 15 | | 11 | 32 | | 12 | 11 | | 13 | 14 | | 14 | 14 | | 15 | 77 | | 16 | 55 | | 17 | 28 | | 18 | 39 | | 19 | 62 | | 20 | 18 | | 21 | 44 | | 22 | 3 | | 23 | 44 | | 24 | 7 | | 25 | 56 | | 26 | 27 | | 27 | 9 | | 28 | 5 | | 29 | 25 | | 30 | 16 | | 31 | 14 | | 32 | 29 | | 33 | 67 | | 34 | 36 | | 35 | 37 | | 36 | 34 | | 37 | 20 | | 38 | 14 | | 39 | 43 | | 40 | 6 | | 41 | 53 |
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| 99.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 117 | | matches | | 0 | "were cracked" | | 1 | "were draped" |
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| 26.09% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 230 | | matches | | 0 | "was tugging" | | 1 | "was handing" | | 2 | "wasn't looking" | | 3 | "was looking" | | 4 | "were already moving" | | 5 | "was coming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 128 | | ratio | 0.008 | | matches | | 0 | "The voice didn't come from the cage; it vibrated from the very floor beneath Quinn’s boots." |
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| 64.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1352 | | adjectiveStacks | 6 | | stackExamples | | 0 | "narrow rubbish-strewn alleyway." | | 1 | "small jagged white bone" | | 2 | "squat ugly old stone" | | 3 | "ancient dusty leather-bound books" | | 4 | "old bent-backed crone" | | 5 | "vibrant small red glass" |
| | adverbCount | 30 | | adverbRatio | 0.022189349112426034 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010355029585798817 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 11.52 | | std | 6.15 | | cv | 0.534 | | sampleLengths | | 0 | 18 | | 1 | 7 | | 2 | 20 | | 3 | 3 | | 4 | 12 | | 5 | 15 | | 6 | 16 | | 7 | 16 | | 8 | 12 | | 9 | 22 | | 10 | 13 | | 11 | 5 | | 12 | 3 | | 13 | 19 | | 14 | 6 | | 15 | 3 | | 16 | 18 | | 17 | 14 | | 18 | 11 | | 19 | 5 | | 20 | 15 | | 21 | 15 | | 22 | 8 | | 23 | 16 | | 24 | 10 | | 25 | 6 | | 26 | 5 | | 27 | 24 | | 28 | 8 | | 29 | 6 | | 30 | 29 | | 31 | 1 | | 32 | 14 | | 33 | 16 | | 34 | 13 | | 35 | 8 | | 36 | 8 | | 37 | 20 | | 38 | 16 | | 39 | 19 | | 40 | 10 | | 41 | 8 | | 42 | 8 | | 43 | 5 | | 44 | 10 | | 45 | 8 | | 46 | 11 | | 47 | 13 | | 48 | 9 | | 49 | 2 |
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| 40.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3203125 | | totalSentences | 128 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 93.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 111 | | matches | | 0 | "He didn't stop to check" | | 1 | "She didn't shout." | | 2 | "She didn't waste breath on" | | 3 | "She simply closed the distance," | | 4 | "His Saint Christopher medallion bounced" | | 5 | "He looked back once, his" | | 6 | "He reached a rusted corrugated" | | 7 | "She didn't climb." | | 8 | "She drove her shoulder into" | | 9 | "She burst through into a" | | 10 | "It was a service hatch" | | 11 | "He heaved it upward, the" | | 12 | "She checked the worn leather" | | 13 | "She hadn't called for backup." | | 14 | "She gripped the rungs and" | | 15 | "She rounded a sharp corner" | | 16 | "He produced a small jagged" | | 17 | "He pressed it into the" | | 18 | "she said, her voice echoing" | | 19 | "It was a sprawling chaotic" |
| | ratio | 0.315 | |
| 18.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 111 | | matches | | 0 | "Herrera’s shoulder slammed into a" | | 1 | "He didn't stop to check" | | 2 | "Detective Harlow Quinn trailed him" | | 3 | "She didn't shout." | | 4 | "She didn't waste breath on" | | 5 | "She simply closed the distance," | | 6 | "Herrera lunged right, skidding past" | | 7 | "His Saint Christopher medallion bounced" | | 8 | "He looked back once, his" | | 9 | "Quinn saw the flash of" | | 10 | "Quinn’s voice cut through the" | | 11 | "Herrera didn't answer." | | 12 | "He reached a rusted corrugated" | | 13 | "Quinn reached the fence seconds" | | 14 | "She didn't climb." | | 15 | "She drove her shoulder into" | | 16 | "She burst through into a" | | 17 | "It was a service hatch" | | 18 | "He heaved it upward, the" | | 19 | "Quinn reached the hole, peering" |
| | ratio | 0.883 | |
| 90.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 111 | | matches | | 0 | "To her left, a squat" | | 1 | "To her right, a stall" |
| | ratio | 0.018 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 6 | | matches | | 0 | "A rusted metal ladder descended into a void that echoed with the drip-drop of leaking pipes." | | 1 | "The air hummed with a low-frequency vibration that rattled her teeth." | | 2 | "To her right, a stall displayed rows of ancient dusty leather-bound books that seemed to breathe, their covers rising and falling in slow unison." | | 3 | "The paramedic looked up, his eyes widening as he saw Quinn breaking through the line of robed figures." | | 4 | "Each carried a massive notched iron executioner’s sword that scraped against the stone floor with a screeching flip-flop sound." | | 5 | "The market-goers vanished into the shadows of their stalls, pulling down shutters and blowing out candles." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice echoing off the tiles" | | 1 | "Quinn said, though her heart hammered against her ribs" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 7 | | fancyTags | | 0 | "the figure hissed (hiss)" | | 1 | "the gatekeeper whispered (whisper)" | | 2 | "Quinn snapped (snap)" | | 3 | "she yelled (yell)" | | 4 | "Herrera shouted (shout)" | | 5 | "Herrera whispered (whisper)" | | 6 | "Quinn screamed (scream)" |
| | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.7 | | effectiveRatio | 0.519 | |