| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "His eyes went briefly [briefly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 53 | | tagDensity | 0.453 | | leniency | 0.906 | | rawRatio | 0.083 | | effectiveRatio | 0.075 | |
| 88.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1704 | | totalAiIsmAdverbs | 4 | | 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) | |
| 88.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1704 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "simmering" | | 2 | "stomach" | | 3 | "pulse" |
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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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 132 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1717 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1095 | | uniqueNames | 7 | | maxNameDensity | 0.46 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Cardiff | 1 | | Rain | 2 | | Ptolemy | 3 | | Lucien | 5 | | Eva | 3 | | Rory | 4 | | Cool-headed | 1 |
| | persons | | 0 | "Rain" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like, being looked at like the res" |
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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 | 1717 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 27.25 | | std | 30.29 | | cv | 1.111 | | sampleLengths | | 0 | 34 | | 1 | 95 | | 2 | 3 | | 3 | 18 | | 4 | 12 | | 5 | 31 | | 6 | 2 | | 7 | 18 | | 8 | 2 | | 9 | 37 | | 10 | 87 | | 11 | 68 | | 12 | 53 | | 13 | 4 | | 14 | 3 | | 15 | 3 | | 16 | 7 | | 17 | 56 | | 18 | 6 | | 19 | 3 | | 20 | 39 | | 21 | 3 | | 22 | 1 | | 23 | 1 | | 24 | 34 | | 25 | 92 | | 26 | 65 | | 27 | 5 | | 28 | 29 | | 29 | 15 | | 30 | 26 | | 31 | 6 | | 32 | 156 | | 33 | 3 | | 34 | 16 | | 35 | 55 | | 36 | 54 | | 37 | 3 | | 38 | 11 | | 39 | 11 | | 40 | 78 | | 41 | 9 | | 42 | 10 | | 43 | 27 | | 44 | 5 | | 45 | 34 | | 46 | 52 | | 47 | 4 | | 48 | 15 | | 49 | 2 |
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| 89.31% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 88 | | matches | | 0 | "been gone" | | 1 | "was prepared" | | 2 | "was ruined" | | 3 | "being looked" | | 4 | "been cleared" | | 5 | "been allowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 204 | | matches | | 0 | "were slowly simmering" | | 1 | "was already watching" | | 2 | "was breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 117 | | ratio | 0.068 | | matches | | 0 | "The ivory-handled cane planted on the mat like a boundary stone, and above it the face she had spent nine days refusing to think about: a fresh split through one eyebrow, a bruise going green along the jaw, and the eyes — one amber, one black — watching her with the patience of a man who had counted every hour she'd been gone and was prepared to count more." | | 1 | "The flat smelled the way it always did — cumin and cardamom rising through the floorboards from the curry house below, as though the whole building were slowly simmering." | | 2 | "Daughter of a barrister, she knew a careful witness when she saw one — the answer that was true and still not the truth." | | 3 | "Nobody had used that name in — she didn't finish the thought, because Lucien was already watching her do it." | | 4 | "Then the margins started talking, and that was what undid her — the clinical entries slowly growing marginalia, the way a river grows reeds." | | 5 | "Left wrist — crescent scar, glass, age eleven." | | 6 | "— L.M." | | 7 | "And then, because she was her father's daughter and believed in cross-examining the witness, she took his face in her hands — one thumb at the edge of the bruise — and studied the amber eye and the black one until, for once, they were both saying the same thing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.032509752925877766 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009102730819245773 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 14.68 | | std | 16.76 | | cv | 1.142 | | sampleLengths | | 0 | 34 | | 1 | 2 | | 2 | 24 | | 3 | 69 | | 4 | 3 | | 5 | 5 | | 6 | 5 | | 7 | 3 | | 8 | 5 | | 9 | 12 | | 10 | 10 | | 11 | 21 | | 12 | 2 | | 13 | 12 | | 14 | 6 | | 15 | 2 | | 16 | 5 | | 17 | 23 | | 18 | 9 | | 19 | 29 | | 20 | 20 | | 21 | 38 | | 22 | 29 | | 23 | 12 | | 24 | 27 | | 25 | 30 | | 26 | 17 | | 27 | 6 | | 28 | 4 | | 29 | 3 | | 30 | 3 | | 31 | 7 | | 32 | 13 | | 33 | 3 | | 34 | 40 | | 35 | 6 | | 36 | 3 | | 37 | 39 | | 38 | 3 | | 39 | 1 | | 40 | 1 | | 41 | 7 | | 42 | 27 | | 43 | 3 | | 44 | 17 | | 45 | 35 | | 46 | 1 | | 47 | 9 | | 48 | 27 | | 49 | 14 |
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| 72.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.47863247863247865 | | totalSentences | 117 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 74 | | matches | | 0 | "Then charcoal wool gone nearly" | | 1 | "Then Ptolemy compounded the betrayal." | | 2 | "Then the margins started talking," |
| | ratio | 0.041 | |
| 9.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 74 | | matches | | 0 | "Her father, ringing from Cardiff." | | 1 | "she said, because it was" | | 2 | "His gaze lifted to the" | | 3 | "He set something else down" | | 4 | "She went to the bathroom" | | 5 | "She knelt in front of" | | 6 | "She cleaned the cuts with" | | 7 | "He didn't flinch." | | 8 | "He watched her work with" | | 9 | "She wound the bandage tight," | | 10 | "She stood up." | | 11 | "Her hands wanted something to" | | 12 | "Her voice stayed level" | | 13 | "She could hear her own" | | 14 | "He said it without flinching," | | 15 | "He was quiet a moment." | | 16 | "Her breath went out of" | | 17 | "He turned the cane once" | | 18 | "His eyes went, briefly, to" | | 19 | "Her voice cracked on it," |
| | ratio | 0.527 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "Rory opened the door on" | | 1 | "The ivory-handled cane planted on" | | 2 | "Nobody used the whole name." | | 3 | "Her father, ringing from Cardiff." | | 4 | "That was the entire list." | | 5 | "she said, because it was" | | 6 | "His gaze lifted to the" | | 7 | "Rain ran off his chin" | | 8 | "The tabby came pouring out" | | 9 | "Rory stood aside before she" | | 10 | "The flat smelled the way" | | 11 | "Books and scrolls covered every" | | 12 | "Rory had been sleeping on" | | 13 | "Lucien lowered himself onto the" | | 14 | "The cane he laid across" | | 15 | "He set something else down" | | 16 | "She went to the bathroom" | | 17 | "She knelt in front of" | | 18 | "She cleaned the cuts with" | | 19 | "He didn't flinch." |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 5 | | matches | | 0 | "The ivory-handled cane planted on the mat like a boundary stone, and above it the face she had spent nine days refusing to think about: a fresh split through on…" | | 1 | "The flat smelled the way it always did — cumin and cardamom rising through the floorboards from the curry house below, as though the whole building were slowly …" | | 2 | "Daughter of a barrister, she knew a careful witness when she saw one — the answer that was true and still not the truth." | | 3 | "Downstairs the curry house clattered through its closing, and Ptolemy climbed onto the sofa arm between them like a chaperone who'd heard everything before." | | 4 | "When she pulled back, his forehead rested against hers, and he was breathing like a man who'd run a very long way to arrive exactly here." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.264 | | leniency | 0.528 | | rawRatio | 0 | | effectiveRatio | 0 | |