| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 47 | | tagDensity | 0.319 | | leniency | 0.638 | | rawRatio | 0.067 | | effectiveRatio | 0.043 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1531 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 70.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1531 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "measured" | | 2 | "disrupted" | | 3 | "fluttered" | | 4 | "traced" | | 5 | "velvet" | | 6 | "pulse" | | 7 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1531 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 933 | | uniqueNames | 11 | | maxNameDensity | 0.96 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Lucien | 9 | | Rory | 7 | | Cardiff | 1 | | Evan | 2 | | Boots | 1 | | Silas | 1 | | Silence | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Boots" | | 5 | "Silas" | | 6 | "Silence" | | 7 | "Ptolemy" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "as if discussing the weather over coffee, every syllable measured" | | 1 | "as if casting the only vote that mattered" |
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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 | 1531 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 129 | | matches | | 0 | "buried that alias" | | 1 | "hated that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 32.57 | | std | 21.9 | | cv | 0.672 | | sampleLengths | | 0 | 16 | | 1 | 42 | | 2 | 1 | | 3 | 6 | | 4 | 10 | | 5 | 4 | | 6 | 12 | | 7 | 41 | | 8 | 29 | | 9 | 5 | | 10 | 3 | | 11 | 71 | | 12 | 26 | | 13 | 8 | | 14 | 27 | | 15 | 40 | | 16 | 68 | | 17 | 53 | | 18 | 21 | | 19 | 28 | | 20 | 45 | | 21 | 34 | | 22 | 8 | | 23 | 34 | | 24 | 3 | | 25 | 70 | | 26 | 4 | | 27 | 16 | | 28 | 75 | | 29 | 52 | | 30 | 56 | | 31 | 40 | | 32 | 56 | | 33 | 46 | | 34 | 6 | | 35 | 39 | | 36 | 17 | | 37 | 36 | | 38 | 66 | | 39 | 38 | | 40 | 35 | | 41 | 39 | | 42 | 78 | | 43 | 9 | | 44 | 32 | | 45 | 55 | | 46 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 10 | | flaggedSentences | 10 | | totalSentences | 129 | | ratio | 0.078 | | matches | | 0 | "Lucien looked down; thin mouth almost curved." | | 1 | "The flat was cramped; books and scrolls claimed every surface, research notes taped to cabinets and the battered sofa arm." | | 2 | "The door shut behind him; the three bolts stayed open." | | 3 | "Cool head, out-of-the-box thinking; those had kept her breathing since Cardiff." | | 4 | "Scrolls shifted under one foot; he adjusted without looking down." | | 5 | "Papers fluttered; ink bottles rattled." | | 6 | "The lamp threw the slick platinum of his hair into relief; the charcoal of his suit swallowed light." | | 7 | "Her chest rose; fabric brushed fabric." | | 8 | "Fingers almost brushed the scar; he stopped short." | | 9 | "Outside, Brick Lane traffic hummed; a motorbike revved and faded." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 937 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.030949839914621132 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0032017075773745998 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 11.87 | | std | 8.75 | | cv | 0.737 | | sampleLengths | | 0 | 11 | | 1 | 5 | | 2 | 22 | | 3 | 9 | | 4 | 11 | | 5 | 1 | | 6 | 6 | | 7 | 7 | | 8 | 3 | | 9 | 4 | | 10 | 12 | | 11 | 4 | | 12 | 18 | | 13 | 19 | | 14 | 14 | | 15 | 15 | | 16 | 5 | | 17 | 3 | | 18 | 16 | | 19 | 7 | | 20 | 15 | | 21 | 25 | | 22 | 8 | | 23 | 14 | | 24 | 5 | | 25 | 7 | | 26 | 8 | | 27 | 5 | | 28 | 22 | | 29 | 12 | | 30 | 3 | | 31 | 25 | | 32 | 16 | | 33 | 4 | | 34 | 20 | | 35 | 12 | | 36 | 12 | | 37 | 4 | | 38 | 18 | | 39 | 10 | | 40 | 14 | | 41 | 11 | | 42 | 21 | | 43 | 5 | | 44 | 12 | | 45 | 11 | | 46 | 10 | | 47 | 35 | | 48 | 3 | | 49 | 11 |
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| 70.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4418604651162791 | | totalSentences | 129 | | uniqueOpeners | 57 | |
| 37.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 89 | | matches | | 0 | "Then dawn, empty stairs, a" |
| | ratio | 0.011 | |
| 89.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 89 | | matches | | 0 | "She wrenched the door open." | | 1 | "She shoved to close it" | | 2 | "His cane slipped between door" | | 3 | "He did not move." | | 4 | "He spoke as if discussing" | | 5 | "Her shoulder-length black hair swung" | | 6 | "She tasted the old bitterness" | | 7 | "She stepped back anyway" | | 8 | "He crossed the threshold with" | | 9 | "He set the cane against" | | 10 | "His gaze travelled the room" | | 11 | "She folded her arms" | | 12 | "Her left wrist flashed, the" | | 13 | "He drew off one leather" | | 14 | "She had buried that alias" | | 15 | "He stepped closer" | | 16 | "She turned, walked the short" | | 17 | "His voice stayed even, yet" | | 18 | "She snatched a half-empty tumbler" | | 19 | "He removed the second glove," |
| | ratio | 0.326 | |
| 49.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 89 | | matches | | 0 | "The last of the three" | | 1 | "She wrenched the door open." | | 2 | "Lucien Moreau filled the frame," | | 3 | "The ivory handle of his" | | 4 | "She shoved to close it" | | 5 | "His cane slipped between door" | | 6 | "Wood thumped wood." | | 7 | "He did not move." | | 8 | "The hallway light behind him" | | 9 | "He spoke as if discussing" | | 10 | "The words sat between them," | | 11 | "Rory's free hand flexed against" | | 12 | "Her shoulder-length black hair swung" | | 13 | "She tasted the old bitterness" | | 14 | "Sandalwood and something colder, like" | | 15 | "Ptolemy padded out of the" | | 16 | "The tabby cat purred, traitorous." | | 17 | "Lucien looked down; thin mouth" | | 18 | "Rory's bright blue eyes narrowed." | | 19 | "Lucien lifted the cane a" |
| | ratio | 0.82 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "Spices rose from the curry house below, cumin and hot oil cutting the cold air that followed him in." | | 1 | "She smelled him fully now: sandalwood, iron rain, and under it a faint ozone spark that said half-demon louder than words." | | 2 | "The ivory handle twisted free to bare a thin, silver blade that drank the lamplight." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "He spoke, every syllable measured" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 47 | | tagDensity | 0.064 | | leniency | 0.128 | | rawRatio | 0.333 | | effectiveRatio | 0.043 | |