| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1236 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 23.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1236 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "reminder" | | 1 | "tinged" | | 2 | "scanning" | | 3 | "silence" | | 4 | "weight" | | 5 | "whisper" | | 6 | "could feel" | | 7 | "flickered" | | 8 | "dancing" | | 9 | "unspoken" | | 10 | "stomach" |
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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 | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 105 | | filterMatches | (empty) | | hedgeMatches | | |
| 97.65% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0.008 | | matches | | 0 | "She needed to get back to the flat, to the工具箱 in the back of drawer, to the laundry." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1233 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1060 | | uniqueNames | 12 | | maxNameDensity | 1.04 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Aurora | 6 | | Golden | 1 | | Empress | 1 | | British | 1 | | Raven | 1 | | Nest | 1 | | Silas | 11 | | Blackwood | 1 | | London | 1 | | Prague | 2 | | Evan | 1 | | Yu-Fei | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Evan" |
| | places | | 0 | "London" | | 1 | "Prague" | | 2 | "Yu-Fei" |
| | globalScore | 0.981 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1233 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 25.69 | | std | 22.87 | | cv | 0.89 | | sampleLengths | | 0 | 68 | | 1 | 43 | | 2 | 62 | | 3 | 90 | | 4 | 22 | | 5 | 3 | | 6 | 62 | | 7 | 25 | | 8 | 50 | | 9 | 70 | | 10 | 37 | | 11 | 3 | | 12 | 11 | | 13 | 1 | | 14 | 25 | | 15 | 39 | | 16 | 12 | | 17 | 7 | | 18 | 54 | | 19 | 56 | | 20 | 17 | | 21 | 5 | | 22 | 4 | | 23 | 7 | | 24 | 57 | | 25 | 3 | | 26 | 15 | | 27 | 22 | | 28 | 1 | | 29 | 19 | | 30 | 5 | | 31 | 19 | | 32 | 7 | | 33 | 5 | | 34 | 34 | | 35 | 3 | | 36 | 50 | | 37 | 16 | | 38 | 19 | | 39 | 4 | | 40 | 39 | | 41 | 8 | | 42 | 4 | | 43 | 16 | | 44 | 24 | | 45 | 6 | | 46 | 24 | | 47 | 60 |
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| 98.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 105 | | matches | | 0 | "was muffled" | | 1 | "was hidden" |
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| 52.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 181 | | matches | | 0 | "was raising" | | 1 | "was sending" | | 2 | "was referring" | | 3 | "was ending" |
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| 70.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 119 | | ratio | 0.025 | | matches | | 0 | "The air here was cleaner—smelling of wet asphalt and cabbage—but the walk to the bar felt longer than it ever did when she was twenty-two." | | 1 | "He hid secrets in the basement; she dragged her weight out of the joint every morning to attempt a life on the other side of London." | | 2 | "The left side of his body shifted weight with a subtle, jagged hesitation—a limp that told the story of Prague, of tunnels dug in Prague, of the botched operation." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1069 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.011225444340505144 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0037418147801683817 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 10.36 | | std | 7.3 | | cv | 0.705 | | sampleLengths | | 0 | 23 | | 1 | 20 | | 2 | 25 | | 3 | 30 | | 4 | 5 | | 5 | 8 | | 6 | 11 | | 7 | 10 | | 8 | 9 | | 9 | 16 | | 10 | 16 | | 11 | 5 | | 12 | 16 | | 13 | 36 | | 14 | 7 | | 15 | 26 | | 16 | 12 | | 17 | 10 | | 18 | 3 | | 19 | 3 | | 20 | 26 | | 21 | 4 | | 22 | 29 | | 23 | 25 | | 24 | 3 | | 25 | 7 | | 26 | 40 | | 27 | 6 | | 28 | 7 | | 29 | 18 | | 30 | 20 | | 31 | 19 | | 32 | 14 | | 33 | 6 | | 34 | 17 | | 35 | 3 | | 36 | 11 | | 37 | 1 | | 38 | 12 | | 39 | 13 | | 40 | 6 | | 41 | 5 | | 42 | 13 | | 43 | 15 | | 44 | 12 | | 45 | 7 | | 46 | 8 | | 47 | 10 | | 48 | 9 | | 49 | 7 |
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| 28.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.17647058823529413 | | totalSentences | 119 | | uniqueOpeners | 21 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Instead, the eyes on the" |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 92 | | matches | | 0 | "She kicked open the alley" | | 1 | "She hugged her coat tighter." | | 2 | "It was too thin for" | | 3 | "She pushed open the heavy" | | 4 | "She paused, scanning the perimeter." | | 5 | "She knew the layout of" | | 6 | "She had lived directly above" | | 7 | "They were neighbors built on" | | 8 | "He hid secrets in the" | | 9 | "She raised her glass of" | | 10 | "He looked different." | | 11 | "His posture was worse." | | 12 | "He was raising a tumbler" | | 13 | "He stood up." | | 14 | "He looked fifty-eight years old," | | 15 | "She remembered coming in to" | | 16 | "She remembered sitting across from" | | 17 | "She walked toward the bar," | | 18 | "She didn't reach for a" | | 19 | "She stopped when she was" |
| | ratio | 0.576 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 92 | | matches | | 0 | "The green neon bleached the" | | 1 | "She kicked open the alley" | | 2 | "The air here was cleaner—smelling" | | 3 | "Aurora rubbed her left wrist" | | 4 | "She hugged her coat tighter." | | 5 | "It was too thin for" | | 6 | "She pushed open the heavy" | | 7 | "The bell on the frame" | | 8 | "The room was crowded, but" | | 9 | "The air smelled of stale" | | 10 | "She paused, scanning the perimeter." | | 11 | "She knew the layout of" | | 12 | "She had lived directly above" | | 13 | "They were neighbors built on" | | 14 | "He hid secrets in the" | | 15 | "She raised her glass of" | | 16 | "Silas was alone." | | 17 | "He looked different." | | 18 | "The grey-streaked auburn beard hadn't" | | 19 | "His posture was worse." |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "The left side of his body shifted weight with a subtle, jagged hesitation—a limp that told the story of Prague, of tunnels dug in Prague, of the botched operati…" | | 1 | "There was a stiffness to the shoulders that hadn't been there ten years ago when she came in with her student loans and her bleached dreadlocks, terrified of th…" | | 2 | "They were strangers who had married by living in the same gray cage." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |