| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1014 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "suddenly" | | 3 | "carefully" |
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| 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) | |
| 95.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1014 | | totalAiIsms | 1 | | found | | 0 | | word | "the last thing" | | count | 1 |
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| | highlights | | |
| 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 | 51 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1024 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 601 | | uniqueNames | 4 | | maxNameDensity | 0.83 | | worstName | "Ptolemy" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Ptolemy" | | discoveredNames | | Ptolemy | 5 | | Au-ro-ra | 1 | | Eva | 1 | | Lucien | 3 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed deeper in this light, a pupil that went all the way through" |
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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 | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 103 | | matches | | 0 | "did that inventory" | | 1 | "be that kind" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 14.22 | | std | 16.46 | | cv | 1.157 | | sampleLengths | | 0 | 50 | | 1 | 11 | | 2 | 2 | | 3 | 8 | | 4 | 18 | | 5 | 4 | | 6 | 6 | | 7 | 49 | | 8 | 33 | | 9 | 2 | | 10 | 2 | | 11 | 7 | | 12 | 53 | | 13 | 17 | | 14 | 1 | | 15 | 47 | | 16 | 5 | | 17 | 5 | | 18 | 7 | | 19 | 5 | | 20 | 6 | | 21 | 2 | | 22 | 12 | | 23 | 27 | | 24 | 46 | | 25 | 2 | | 26 | 1 | | 27 | 28 | | 28 | 8 | | 29 | 2 | | 30 | 1 | | 31 | 33 | | 32 | 7 | | 33 | 1 | | 34 | 39 | | 35 | 4 | | 36 | 4 | | 37 | 3 | | 38 | 1 | | 39 | 1 | | 40 | 26 | | 41 | 9 | | 42 | 4 | | 43 | 26 | | 44 | 2 | | 45 | 6 | | 46 | 3 | | 47 | 1 | | 48 | 32 | | 49 | 18 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 112 | | matches | | 0 | "was looking" | | 1 | "was holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 103 | | ratio | 0.068 | | matches | | 0 | "Rory cracked the door, chain still drawn, and through the gap she saw him — leaning on that bloody ivory cane like he'd been born with it in his hand, amber eye catching the hall light, black eye swallowing it." | | 1 | "The way he pronounced it — Au-ro-ra, the first syllable gilded — still did something to her sternum she wasn't prepared to negotiate with." | | 2 | "When he straightened, his eyes did that inventory thing — the one that had, six months ago, made her feel mapped." | | 3 | "She went to the kitchen — two steps, really, in a flat this size — and filled the kettle with her back to him." | | 4 | "His mouth did a thing — not a smile, a recognition, the corner lifting a quarter of an inch and then deciding against the whole expression." | | 5 | "Not beside him — the armchair, Eva's armchair, the one with the dent in the cushion shaped like a woman who read too much." | | 6 | "That was the part that nearly undid her — that six months had passed and he still knew, without looking, which cupboard." |
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| 98.17% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 594 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.04208754208754209 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011784511784511785 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 9.94 | | std | 10.26 | | cv | 1.032 | | sampleLengths | | 0 | 10 | | 1 | 40 | | 2 | 7 | | 3 | 4 | | 4 | 2 | | 5 | 8 | | 6 | 13 | | 7 | 5 | | 8 | 4 | | 9 | 6 | | 10 | 24 | | 11 | 25 | | 12 | 11 | | 13 | 4 | | 14 | 18 | | 15 | 2 | | 16 | 2 | | 17 | 7 | | 18 | 24 | | 19 | 21 | | 20 | 8 | | 21 | 4 | | 22 | 13 | | 23 | 1 | | 24 | 24 | | 25 | 6 | | 26 | 17 | | 27 | 5 | | 28 | 5 | | 29 | 7 | | 30 | 5 | | 31 | 3 | | 32 | 3 | | 33 | 2 | | 34 | 2 | | 35 | 10 | | 36 | 6 | | 37 | 21 | | 38 | 2 | | 39 | 17 | | 40 | 27 | | 41 | 2 | | 42 | 1 | | 43 | 20 | | 44 | 8 | | 45 | 8 | | 46 | 2 | | 47 | 1 | | 48 | 33 | | 49 | 7 |
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| 75.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5048543689320388 | | totalSentences | 103 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 10.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 42 | | matches | | 0 | "She didn't undo the chain." | | 1 | "She slid the chain free" | | 2 | "He came in slowly, the" | | 3 | "He smelled the same." | | 4 | "He bent, unlaced his oxfords" | | 5 | "She went to the kitchen" | | 6 | "She heard the cane settle" | | 7 | "She almost laughed." | | 8 | "She hated that." | | 9 | "He was looking at Ptolemy," | | 10 | "She set it down carefully" | | 11 | "She crossed the room before" | | 12 | "His mouth did a thing" | | 13 | "She sat down." | | 14 | "She pulled her knees up." | | 15 | "He looked at her then," | | 16 | "he told her" | | 17 | "He was quiet for a" | | 18 | "She looked at the ceiling." | | 19 | "He eased Ptolemy off his" |
| | ratio | 0.524 | |
| 7.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 42 | | matches | | 0 | "The third deadbolt clicked, then" | | 1 | "Rory cracked the door, chain" | | 2 | "Ptolemy threaded between her ankles" | | 3 | "She didn't undo the chain." | | 4 | "The way he pronounced it" | | 5 | "She slid the chain free" | | 6 | "He came in slowly, the" | | 7 | "He smelled the same." | | 8 | "Bergamot, tobacco, and something underneath" | | 9 | "He bent, unlaced his oxfords" | | 10 | "She went to the kitchen" | | 11 | "The tap ran long past" | | 12 | "She heard the cane settle" | | 13 | "She almost laughed." | | 14 | "She hated that." | | 15 | "The kettle clicked on and" | | 16 | "He was looking at Ptolemy," | | 17 | "Lucien's gloved hand rested on" | | 18 | "The mug in her hand" | | 19 | "She set it down carefully" |
| | ratio | 0.905 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 42 | | matches | | | ratio | 0.024 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0 | | effectiveRatio | 0 | |