| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.18 | | leniency | 0.36 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1601 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 81.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1601 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "stomach" | | 3 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 73.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | 0 | "manage to" | | 1 | "began to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1612 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1203 | | uniqueNames | 9 | | maxNameDensity | 1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Eva | 5 | | Ptolemy | 8 | | Bristol | 1 | | Lucien | 6 | | Bermondsey | 1 | | Close | 2 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | | 0 | "Bristol" | | 1 | "Bermondsey" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "quite manage to be either fully human or fully other" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.62 | | wordCount | 1612 | | matches | | 0 | "not returned, but close enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 26 | | std | 23.83 | | cv | 0.916 | | sampleLengths | | 0 | 64 | | 1 | 7 | | 2 | 26 | | 3 | 1 | | 4 | 2 | | 5 | 71 | | 6 | 84 | | 7 | 8 | | 8 | 38 | | 9 | 7 | | 10 | 61 | | 11 | 14 | | 12 | 50 | | 13 | 7 | | 14 | 49 | | 15 | 2 | | 16 | 49 | | 17 | 28 | | 18 | 7 | | 19 | 34 | | 20 | 51 | | 21 | 11 | | 22 | 2 | | 23 | 5 | | 24 | 63 | | 25 | 4 | | 26 | 7 | | 27 | 15 | | 28 | 41 | | 29 | 7 | | 30 | 8 | | 31 | 47 | | 32 | 4 | | 33 | 6 | | 34 | 2 | | 35 | 20 | | 36 | 16 | | 37 | 35 | | 38 | 85 | | 39 | 16 | | 40 | 24 | | 41 | 49 | | 42 | 14 | | 43 | 9 | | 44 | 24 | | 45 | 62 | | 46 | 2 | | 47 | 56 | | 48 | 4 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 192 | | matches | | 0 | "was waiting" | | 1 | "was focusing" |
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| 2.34% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 122 | | ratio | 0.049 | | matches | | 0 | "Lucien's mismatched eyes — one amber, one a black so deep it swallowed light — tracked past her shoulder into the flat." | | 1 | "That was the worst part — he looked human and tired and like someone she might have let in willingly if she hadn't already learned what it cost." | | 2 | "He reached into his jacket, and Rory's hand went to the knife she kept in her back pocket — Eva's knife, really, borrowed and not returned, but close enough." | | 3 | "The mask slipped, just for a moment, and she saw something raw beneath it — not guilt, because guilt would have been too simple, too clean." | | 4 | "The formica was cool and slightly sticky, and she focused on that sensation — the texture, the temperature — because the alternative was focusing on the half-step between them, the way his breathing had changed, the fact that she could count the drops of water still clinging to his collar if she wanted to." | | 5 | "She grabbed her jacket from the hook by the door — Eva's spare, too big in the shoulders, but it would do — and checked that the knife was secure in her back pocket." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1196 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.03595317725752508 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005852842809364548 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 13.21 | | std | 11.31 | | cv | 0.856 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 25 | | 3 | 7 | | 4 | 22 | | 5 | 4 | | 6 | 1 | | 7 | 2 | | 8 | 12 | | 9 | 34 | | 10 | 18 | | 11 | 7 | | 12 | 27 | | 13 | 8 | | 14 | 18 | | 15 | 3 | | 16 | 28 | | 17 | 8 | | 18 | 32 | | 19 | 6 | | 20 | 7 | | 21 | 2 | | 22 | 33 | | 23 | 10 | | 24 | 1 | | 25 | 15 | | 26 | 14 | | 27 | 15 | | 28 | 24 | | 29 | 11 | | 30 | 7 | | 31 | 10 | | 32 | 39 | | 33 | 2 | | 34 | 23 | | 35 | 17 | | 36 | 9 | | 37 | 6 | | 38 | 11 | | 39 | 7 | | 40 | 4 | | 41 | 7 | | 42 | 26 | | 43 | 8 | | 44 | 7 | | 45 | 44 | | 46 | 11 | | 47 | 2 | | 48 | 5 | | 49 | 7 |
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| 53.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3524590163934426 | | totalSentences | 122 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 70.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 75 | | matches | | 0 | "She expected Eva on the" | | 1 | "She gripped the door's edge" | | 2 | "He moved past her with" | | 3 | "His platinum hair, usually so" | | 4 | "He looked human." | | 5 | "He surveyed the chaos of" | | 6 | "He had a cut along" | | 7 | "It had healed to a" | | 8 | "His voice carried no grief," | | 9 | "He reached into his jacket," | | 10 | "He produced a photograph instead," | | 11 | "He held it out." | | 12 | "She didn't take it." | | 13 | "She recognised it." | | 14 | "Her stomach dropped through the" | | 15 | "His jaw tightened" | | 16 | "She stepped closer" | | 17 | "He didn't step back." | | 18 | "His expression shifted." | | 19 | "It hit the linoleum with" |
| | ratio | 0.373 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 75 | | matches | | 0 | "The third deadbolt stuck the" | | 1 | "She expected Eva on the" | | 2 | "The ivory-handled cane came first" | | 3 | "Lucien's mismatched eyes — one" | | 4 | "She gripped the door's edge" | | 5 | "The flat behind her smelled" | | 6 | "Ptolemy wound between her ankles," | | 7 | "That was all the opening" | | 8 | "He moved past her with" | | 9 | "Water dripped from the shoulders" | | 10 | "His platinum hair, usually so" | | 11 | "He looked human." | | 12 | "That was the worst part" | | 13 | "He surveyed the chaos of" | | 14 | "This close, she could see" | | 15 | "He had a cut along" | | 16 | "It had healed to a" | | 17 | "Rory crossed her arms" | | 18 | "The crescent scar on her" | | 19 | "The word landed between them" |
| | ratio | 0.92 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 17.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 7 | | matches | | 0 | "The flat behind her smelled of old paper and the curry house downstairs, a warm, close smell that had become familiar over the four nights she'd been staying he…" | | 1 | "Ptolemy wound between her ankles, purring, and she stepped back just enough to keep the cat from bolting." | | 2 | "He moved past her with the fluid grace that made her teeth ache, folding his cane and tucking it beneath his arm as he crossed the threshold." | | 3 | "This close, she could see the faint shadow beneath his amber eye, the one that passed for sleeplessness on a face that didn't quite manage to be either fully hu…" | | 4 | "It had healed to a thin pink line that stood out against his pale skin." | | 5 | "Rory became aware of the rain hitting the window, the muffled clatter of pans from the curry house below, the warm pressure of Ptolemy's gaze from the counter a…" | | 6 | "Close enough to smell wet wool and something beneath it, something warm and dark that she had buried her face in once, in a different life, on a night that had …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.02 | | leniency | 0.04 | | rawRatio | 0 | | effectiveRatio | 0 | |