| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1048 | | totalAiIsmAdverbs | 3 | | 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) | |
| 85.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1048 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "weight" | | 1 | "warmth" | | 2 | "echo" |
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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 | 56 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1056 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1053 | | uniqueNames | 8 | | maxNameDensity | 0.38 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Richmond | 2 | | Eva | 4 | | Park | 1 | | Yu-Fei | 1 | | Heartstone | 1 | | Hel | 1 | | Warm | 4 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Yu-Fei" | | 3 | "Warm" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1056 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 55.58 | | std | 36.47 | | cv | 0.656 | | sampleLengths | | 0 | 103 | | 1 | 101 | | 2 | 21 | | 3 | 89 | | 4 | 11 | | 5 | 87 | | 6 | 58 | | 7 | 4 | | 8 | 111 | | 9 | 12 | | 10 | 95 | | 11 | 44 | | 12 | 84 | | 13 | 54 | | 14 | 3 | | 15 | 63 | | 16 | 69 | | 17 | 8 | | 18 | 39 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 62.54% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 194 | | matches | | 0 | "wasn't laughing" | | 1 | "were listening" | | 2 | "was playing" | | 3 | "was not standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 56 | | ratio | 0.107 | | matches | | 0 | "She remembered Eva telling her about this place — an hour here, a day out there, or the other way round, you never knew until you left and counted the hours you'd lost or gained." | | 1 | "That was the first wrong thing, once she noticed it — not the ordinary quiet of a park at night, which was full of small sounds, wind and leaves and the distant hush of traffic, but a quiet that had a shape to it, a held quality, as if the whole clearing were listening back." | | 2 | "She almost turned around then — almost decided the whole thing had been her imagination, three nights of bad sleep and stress dreams dressed up as magic — but something kept her feet where they were, some old animal caution that had kept her alive through worse than this." | | 3 | "Somewhere off to her left, past a stand of birches she didn't remember passing on her way in — because she was fairly sure she had entered from the right, hadn't she, wasn't the pool supposed to be behind her now — something moved." | | 4 | "She felt it before she understood what it meant — a small point of heat against her sternum, spreading, and her hand closed over it out of pure reflex." | | 5 | "The shape came out of the birches slowly, unhurried, as if it had all the time in the world — and here, she thought with a horror that had nothing to do with claws or teeth, it probably did." |
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| 92.43% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 925 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.04864864864864865 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006486486486486486 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 18.86 | | std | 15.36 | | cv | 0.815 | | sampleLengths | | 0 | 12 | | 1 | 40 | | 2 | 10 | | 3 | 41 | | 4 | 39 | | 5 | 5 | | 6 | 18 | | 7 | 4 | | 8 | 4 | | 9 | 31 | | 10 | 21 | | 11 | 3 | | 12 | 27 | | 13 | 14 | | 14 | 35 | | 15 | 6 | | 16 | 4 | | 17 | 11 | | 18 | 3 | | 19 | 55 | | 20 | 6 | | 21 | 10 | | 22 | 13 | | 23 | 7 | | 24 | 2 | | 25 | 49 | | 26 | 4 | | 27 | 22 | | 28 | 28 | | 29 | 11 | | 30 | 29 | | 31 | 21 | | 32 | 12 | | 33 | 6 | | 34 | 40 | | 35 | 10 | | 36 | 8 | | 37 | 31 | | 38 | 44 | | 39 | 3 | | 40 | 9 | | 41 | 55 | | 42 | 3 | | 43 | 14 | | 44 | 11 | | 45 | 4 | | 46 | 39 | | 47 | 3 | | 48 | 29 | | 49 | 27 |
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| 28.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.26785714285714285 | | totalSentences | 56 | | uniqueOpeners | 15 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Somewhere off to her left," |
| | ratio | 0.018 | |
| 9.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 55 | | matches | | 0 | "She'd worried, on the bus" | | 1 | "They rose up out of" | | 2 | "She'd come because the pendant" | | 3 | "She hadn't told Eva." | | 4 | "She hadn't told anyone." | | 5 | "She'd simply started walking to" | | 6 | "It looked right." | | 7 | "She remembered Eva telling her" | | 8 | "She wasn't laughing now." | | 9 | "She stood just inside the" | | 10 | "It was quiet." | | 11 | "She turned in a slow" | | 12 | "She watched one white bloom" | | 13 | "She almost turned around then" | | 14 | "She walked further in." | | 15 | "She passed a shallow pool" | | 16 | "She crouched to look at" | | 17 | "She straightened up fast enough" | | 18 | "She was almost sure of" | | 19 | "She'd walked past white blooms," |
| | ratio | 0.527 | |
| 32.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 55 | | matches | | 0 | "The standing stones were easier" | | 1 | "She'd worried, on the bus" | | 2 | "They rose up out of" | | 3 | "She'd come because the pendant" | | 4 | "She hadn't told Eva." | | 5 | "She hadn't told anyone." | | 6 | "She'd simply started walking to" | | 7 | "The grove, when she pushed" | | 8 | "It looked right." | | 9 | "Wildflowers she didn't have names" | | 10 | "The air smelled of crushed" | | 11 | "She remembered Eva telling her" | | 12 | "Rory had laughed at the" | | 13 | "She wasn't laughing now." | | 14 | "She stood just inside the" | | 15 | "It was quiet." | | 16 | "That was the first wrong" | | 17 | "She turned in a slow" | | 18 | "The flowers didn't rustle, though" | | 19 | "She watched one white bloom" |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 6 | | matches | | 0 | "Wildflowers she didn't have names for nodded in a wind she couldn't feel, silvered by a moon that hung too low and too large above the canopy." | | 1 | "That was the first wrong thing, once she noticed it — not the ordinary quiet of a park at night, which was full of small sounds, wind and leaves and the distant…" | | 2 | "She almost turned around then — almost decided the whole thing had been her imagination, three nights of bad sleep and stress dreams dressed up as magic — but s…" | | 3 | "She passed a shallow pool of black water that hadn't been visible from the entrance, its surface so still it looked solid, like obsidian poured into a hollow." | | 4 | "She kept walking, faster now, her hand rising without her quite deciding to touch the pendant, checking it, willing it to warm and tell her she wasn't a fool fo…" | | 5 | "Rory stood very still in the middle of the grove, ringed by red flowers she was almost certain had been white, beside a pool that held no reflection of her, and…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |