| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1121 | | totalAiIsmAdverbs | 2 | | 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) | |
| 28.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1121 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "pulsed" | | 1 | "echoing" | | 2 | "stomach" | | 3 | "lurch" | | 4 | "scanning" | | 5 | "silence" | | 6 | "echoed" | | 7 | "flickered" | | 8 | "raced" | | 9 | "unraveling" | | 10 | "pounding" | | 11 | "shattered" | | 12 | "the last thing" |
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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 | 165 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 165 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1121 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1066 | | uniqueNames | 5 | | maxNameDensity | 1.31 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 14 | | Heartstone | 7 | | Park | 1 | | Welsh | 1 | | Flowers | 2 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Flowers" |
| | places | | | globalScore | 0.843 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.892 | | wordCount | 1121 | | matches | | 0 | "Not a sound, but a vibration" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 88.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 38.66 | | std | 17.77 | | cv | 0.46 | | sampleLengths | | 0 | 66 | | 1 | 64 | | 2 | 66 | | 3 | 61 | | 4 | 40 | | 5 | 36 | | 6 | 16 | | 7 | 52 | | 8 | 65 | | 9 | 40 | | 10 | 37 | | 11 | 9 | | 12 | 28 | | 13 | 43 | | 14 | 48 | | 15 | 17 | | 16 | 24 | | 17 | 41 | | 18 | 21 | | 19 | 14 | | 20 | 45 | | 21 | 58 | | 22 | 41 | | 23 | 32 | | 24 | 42 | | 25 | 5 | | 26 | 45 | | 27 | 14 | | 28 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 165 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 199 | | matches | | 0 | "was skipping" | | 1 | "wasn't walking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 169 | | ratio | 0.012 | | matches | | 0 | "The creature wasn't walking; it was skipping through seconds." | | 1 | "She didn't run away; she threw herself forward, using the creature's momentum." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1072 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 31 | | adverbRatio | 0.028917910447761194 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008395522388059701 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 6.63 | | std | 4.46 | | cv | 0.672 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 20 | | 3 | 4 | | 4 | 11 | | 5 | 13 | | 6 | 14 | | 7 | 14 | | 8 | 1 | | 9 | 1 | | 10 | 2 | | 11 | 19 | | 12 | 3 | | 13 | 13 | | 14 | 20 | | 15 | 6 | | 16 | 11 | | 17 | 3 | | 18 | 10 | | 19 | 5 | | 20 | 10 | | 21 | 9 | | 22 | 2 | | 23 | 6 | | 24 | 9 | | 25 | 4 | | 26 | 11 | | 27 | 3 | | 28 | 2 | | 29 | 7 | | 30 | 4 | | 31 | 3 | | 32 | 2 | | 33 | 12 | | 34 | 3 | | 35 | 9 | | 36 | 4 | | 37 | 5 | | 38 | 10 | | 39 | 9 | | 40 | 8 | | 41 | 3 | | 42 | 9 | | 43 | 4 | | 44 | 3 | | 45 | 15 | | 46 | 4 | | 47 | 5 | | 48 | 9 | | 49 | 11 |
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| 68.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4260355029585799 | | totalSentences | 169 | | uniqueOpeners | 72 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 134 | | matches | | 0 | "Just a bruise of violet" | | 1 | "Only a standing stone veiled" | | 2 | "Usually the mark grounded her," | | 3 | "Then the laugh repeated, but" | | 4 | "Then the fingers opened." |
| | ratio | 0.037 | |
| 88.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 134 | | matches | | 0 | "She wrenched her hand back," | | 1 | "It dragged her forward, a" | | 2 | "She stepped past the threshold" | | 3 | "Her boots crunched on the" | | 4 | "They climbed the trunks of" | | 5 | "She adjusted the silver chain." | | 6 | "It pulled her toward the" | | 7 | "She forced her boots to" | | 8 | "She catalogued the anomaly." | | 9 | "She licked her lips." | | 10 | "She touched the small crescent-shaped" | | 11 | "Her voice died instantly, absorbed" | | 12 | "She stumbled forward, catching herself" | | 13 | "She snatched her hand back." | | 14 | "She reached into her pocket" | | 15 | "Her fingers shook slightly." | | 16 | "She twisted the cap." | | 17 | "She dropped the cap." | | 18 | "It fell, suspended in the" | | 19 | "It drifted downward, agonisingly slow," |
| | ratio | 0.328 | |
| 45.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 134 | | matches | | 0 | "The ancient oak standing stone" | | 1 | "She wrenched her hand back," | | 2 | "The Heartstone against her chest" | | 3 | "The gemstone demanded movement." | | 4 | "It dragged her forward, a" | | 5 | "She stepped past the threshold" | | 6 | "Richmond Park fell away behind" | | 7 | "The atmosphere turned gelatinous, heavy" | | 8 | "Her boots crunched on the" | | 9 | "Wildflowers erupted everywhere." | | 10 | "They climbed the trunks of" | | 11 | "Rory frowned, eyes scanning the" | | 12 | "She adjusted the silver chain." | | 13 | "The gem flared hotter, burning" | | 14 | "It pulled her toward the" | | 15 | "She forced her boots to" | | 16 | "Pre-law discipline overrode the urge" | | 17 | "She catalogued the anomaly." | | 18 | "The ring of stones felt" | | 19 | "Geometry lied here." |
| | ratio | 0.828 | |
| 37.31% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 134 | | matches | | 0 | "Now the skin felt numb," |
| | ratio | 0.007 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "She wrenched her hand back, skin prickling with a static burn that climbed her forearm." | | 1 | "Not a sound, but a vibration that rattled her teeth and spiked her heart rate." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.5 | | effectiveRatio | 0.2 | |