| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1320 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 31.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1320 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "measured" | | 3 | "weight" | | 4 | "lilt" | | 5 | "traced" | | 6 | "silence" | | 7 | "unreadable" | | 8 | "porcelain" | | 9 | "stomach" | | 10 | "familiar" | | 11 | "silk" | | 12 | "shimmered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 76 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1319 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 29.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 957 | | uniqueNames | 10 | | maxNameDensity | 2.4 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Silas | 4 | | Aurora | 23 | | Welsh | 1 | | London | 2 | | Ellis | 1 | | Cardiff | 2 | | Eva | 13 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Aurora" | | 4 | "Ellis" | | 5 | "Eva" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.298 | | windowScore | 0.5 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it cost more than Aurora’s mo" | | 1 | "looked like the kind of woman who had con" | | 2 | "felt like they were searching for somet" |
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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 | 1319 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 20.61 | | std | 15.53 | | cv | 0.754 | | sampleLengths | | 0 | 57 | | 1 | 44 | | 2 | 3 | | 3 | 21 | | 4 | 15 | | 5 | 12 | | 6 | 62 | | 7 | 11 | | 8 | 47 | | 9 | 22 | | 10 | 1 | | 11 | 26 | | 12 | 13 | | 13 | 1 | | 14 | 73 | | 15 | 12 | | 16 | 3 | | 17 | 22 | | 18 | 12 | | 19 | 19 | | 20 | 18 | | 21 | 14 | | 22 | 18 | | 23 | 19 | | 24 | 31 | | 25 | 33 | | 26 | 9 | | 27 | 26 | | 28 | 6 | | 29 | 6 | | 30 | 35 | | 31 | 22 | | 32 | 18 | | 33 | 5 | | 34 | 11 | | 35 | 26 | | 36 | 15 | | 37 | 3 | | 38 | 24 | | 39 | 36 | | 40 | 21 | | 41 | 5 | | 42 | 2 | | 43 | 25 | | 44 | 43 | | 45 | 13 | | 46 | 20 | | 47 | 15 | | 48 | 29 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 104 | | ratio | 0.01 | | matches | | 0 | "She looked at the woman beside her—the success, the poise, the impeccable life." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 2 | | stackExamples | | 0 | "slim, leather-bound planner." | | 1 | "heavy, cream-colored cardstock" |
| | adverbCount | 22 | | adverbRatio | 0.02286902286902287 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005197505197505198 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 12.68 | | std | 7.98 | | cv | 0.629 | | sampleLengths | | 0 | 21 | | 1 | 26 | | 2 | 10 | | 3 | 13 | | 4 | 19 | | 5 | 12 | | 6 | 3 | | 7 | 21 | | 8 | 15 | | 9 | 12 | | 10 | 5 | | 11 | 18 | | 12 | 12 | | 13 | 4 | | 14 | 23 | | 15 | 11 | | 16 | 5 | | 17 | 2 | | 18 | 18 | | 19 | 9 | | 20 | 13 | | 21 | 8 | | 22 | 14 | | 23 | 1 | | 24 | 5 | | 25 | 21 | | 26 | 6 | | 27 | 7 | | 28 | 1 | | 29 | 4 | | 30 | 19 | | 31 | 12 | | 32 | 38 | | 33 | 12 | | 34 | 3 | | 35 | 7 | | 36 | 15 | | 37 | 12 | | 38 | 13 | | 39 | 6 | | 40 | 18 | | 41 | 7 | | 42 | 7 | | 43 | 18 | | 44 | 8 | | 45 | 11 | | 46 | 31 | | 47 | 7 | | 48 | 26 | | 49 | 9 |
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| 46.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.23076923076923078 | | totalSentences | 104 | | uniqueOpeners | 24 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Then she looked at herself," |
| | ratio | 0.014 | |
| 90.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 74 | | matches | | 0 | "He moved with the slow," | | 1 | "His left leg dragged slightly" | | 2 | "She watched Silas work." | | 3 | "He moved with a quiet" | | 4 | "She didn't belong in a" | | 5 | "It carried the soft, melodic" | | 6 | "She looked up, her blue" | | 7 | "Her hair, once a wild" | | 8 | "She looked like the kind" | | 9 | "Her nails were short, her" | | 10 | "She didn't wait for an" | | 11 | "She traced the outline of" | | 12 | "She thought of the textbooks" | | 13 | "Her eyes, once bright with" | | 14 | "She set it on the" | | 15 | "She looked away, toward the" | | 16 | "She looked at the woman" | | 17 | "She stood up, her height" | | 18 | "She saw the exhaustion in" | | 19 | "It was heavy, cream-colored cardstock" |
| | ratio | 0.324 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 74 | | matches | | 0 | "The green neon of The" | | 1 | "Aurora pushed through the heavy" | | 2 | "The air inside tasted of" | | 3 | "Silas leaned against the back" | | 4 | "He moved with the slow," | | 5 | "His left leg dragged slightly" | | 6 | "Aurora wiped a smudge of" | | 7 | "The bar was nearly empty." | | 8 | "Aurora slid onto a stool," | | 9 | "She watched Silas work." | | 10 | "He moved with a quiet" | | 11 | "A woman stepped out of" | | 12 | "The movement caught Aurora’s eye." | | 13 | "The woman wore a tailored" | | 14 | "A strand of pearls caught" | | 15 | "She didn't belong in a" | | 16 | "The stranger stopped three feet" | | 17 | "The scent of expensive jasmine" | | 18 | "The voice was a ghost." | | 19 | "It carried the soft, melodic" |
| | ratio | 0.973 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "He moved with the slow, measured grace of a man who had seen everything and judged none of it." | | 1 | "She looked like the kind of woman who had conquered the boardroom, not the girl who had sat on the floor of a cramped Cardiff flat, helping Aurora pack a single…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora said, her voice steady despite the tremor in her hands" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0.5 | | effectiveRatio | 0.067 | |