| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1766 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "very" | | 2 | "tightly" | | 3 | "perfectly" |
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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) | |
| 66.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1766 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "familiar" | | 4 | "flicker" | | 5 | "echo" | | 6 | "lilt" | | 7 | "perfect" | | 8 | "pulsed" | | 9 | "depths" |
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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 | 193 | | matches | (empty) | |
| 91.04% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 193 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 196 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1765 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1751 | | uniqueNames | 3 | | maxNameDensity | 0.97 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 135 | | glossingSentenceCount | 3 | | matches | | 0 | "as if listening" | | 1 | "appeared ahead its bulb glowing weakly through the branches" | | 2 | "looked like a little dark stone on a silv" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.567 | | wordCount | 1765 | | matches | | 0 | "not bright enough to light the clearing, but bright enough to paint the inside of her coat red" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 196 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 19.83 | | std | 19.73 | | cv | 0.995 | | sampleLengths | | 0 | 7 | | 1 | 54 | | 2 | 7 | | 3 | 55 | | 4 | 3 | | 5 | 97 | | 6 | 36 | | 7 | 10 | | 8 | 8 | | 9 | 13 | | 10 | 3 | | 11 | 78 | | 12 | 15 | | 13 | 4 | | 14 | 18 | | 15 | 42 | | 16 | 13 | | 17 | 9 | | 18 | 9 | | 19 | 3 | | 20 | 46 | | 21 | 6 | | 22 | 33 | | 23 | 2 | | 24 | 45 | | 25 | 2 | | 26 | 37 | | 27 | 9 | | 28 | 73 | | 29 | 6 | | 30 | 12 | | 31 | 20 | | 32 | 25 | | 33 | 3 | | 34 | 31 | | 35 | 1 | | 36 | 6 | | 37 | 34 | | 38 | 5 | | 39 | 48 | | 40 | 21 | | 41 | 6 | | 42 | 66 | | 43 | 7 | | 44 | 5 | | 45 | 48 | | 46 | 7 | | 47 | 12 | | 48 | 36 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 193 | | matches | | 0 | "been closed" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 289 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 196 | | ratio | 0.005 | | matches | | 0 | "A sound came from behind her—three gentle knocks." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1757 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small star-shaped blooms," |
| | adverbCount | 63 | | adverbRatio | 0.035856573705179286 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.008537279453614115 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 196 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 196 | | mean | 9.01 | | std | 5.51 | | cv | 0.612 | | sampleLengths | | 0 | 7 | | 1 | 13 | | 2 | 14 | | 3 | 10 | | 4 | 4 | | 5 | 13 | | 6 | 7 | | 7 | 21 | | 8 | 7 | | 9 | 7 | | 10 | 20 | | 11 | 3 | | 12 | 7 | | 13 | 10 | | 14 | 4 | | 15 | 27 | | 16 | 22 | | 17 | 27 | | 18 | 6 | | 19 | 11 | | 20 | 19 | | 21 | 7 | | 22 | 3 | | 23 | 6 | | 24 | 2 | | 25 | 4 | | 26 | 9 | | 27 | 3 | | 28 | 17 | | 29 | 17 | | 30 | 10 | | 31 | 6 | | 32 | 5 | | 33 | 13 | | 34 | 4 | | 35 | 2 | | 36 | 4 | | 37 | 9 | | 38 | 6 | | 39 | 4 | | 40 | 2 | | 41 | 8 | | 42 | 8 | | 43 | 8 | | 44 | 11 | | 45 | 23 | | 46 | 6 | | 47 | 3 | | 48 | 4 | | 49 | 9 |
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| 40.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.20918367346938777 | | totalSentences | 196 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 181 | | matches | | 0 | "Then it began to pulse" | | 1 | "Then something crossed the path" | | 2 | "Somewhere behind her, a child" | | 3 | "Then, from close behind Aurora’s" | | 4 | "Then one from the stone" | | 5 | "Somewhere far inside it, a" |
| | ratio | 0.033 | |
| 82.98% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 181 | | matches | | 0 | "She was certain it had" | | 1 | "She stopped beneath the sign" | | 2 | "Her trainers scuffed the gravel" | | 3 | "She could turn around." | | 4 | "She had come here because" | | 5 | "Its little crimson stone had" | | 6 | "She had thought of the" | | 7 | "She touched the stone through" | | 8 | "It had cooled." | | 9 | "she said under her breath" | | 10 | "They seemed to stop a" | | 11 | "She went on." | | 12 | "She kept to the main" | | 13 | "She checked her phone." | | 14 | "She had left home less" | | 15 | "She drew the chain out" | | 16 | "It looked smaller than she" | | 17 | "She followed it." | | 18 | "She was aware of the" | | 19 | "It was only a flicker" |
| | ratio | 0.343 | |
| 64.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 143 | | totalSentences | 181 | | matches | | 0 | "The first wrong thing was" | | 1 | "Aurora had passed through it" | | 2 | "The padlock hung open." | | 3 | "She was certain it had" | | 4 | "She stopped beneath the sign" | | 5 | "London made its usual distant" | | 6 | "Her trainers scuffed the gravel" | | 7 | "Aurora looked back." | | 8 | "The path lay empty to" | | 9 | "She could turn around." | | 10 | "She had come here because" | | 11 | "Its little crimson stone had" | | 12 | "She had thought of the" | | 13 | "She touched the stone through" | | 14 | "It had cooled." | | 15 | "she said under her breath" | | 16 | "The words didn’t travel." | | 17 | "They seemed to stop a" | | 18 | "She went on." | | 19 | "She kept to the main" |
| | ratio | 0.79 | |
| 27.62% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 181 | | matches | | 0 | "Now the bars seemed too" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, mostly to herself" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |