| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.52 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 776 | | 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) | |
| 80.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 776 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "throb" | | 1 | "pulse" | | 2 | "flickered" |
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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 | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 776 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 653 | | uniqueNames | 12 | | maxNameDensity | 1.68 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Nyx | 5 | | Rory | 11 | | Heartstone | 1 | | Soho | 1 | | Hel | 1 | | Dymas | 1 | | Isolde | 8 | | Fae | 1 | | November | 1 | | Cardiff | 1 | | London | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.658 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 71.13% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.289 | | wordCount | 776 | | matches | | 0 | "not their reflections but a sky full of bruised purple clouds, a sky Rory had never se" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 29.85 | | std | 24.12 | | cv | 0.808 | | sampleLengths | | 0 | 46 | | 1 | 43 | | 2 | 19 | | 3 | 40 | | 4 | 23 | | 5 | 74 | | 6 | 5 | | 7 | 10 | | 8 | 4 | | 9 | 6 | | 10 | 80 | | 11 | 50 | | 12 | 86 | | 13 | 14 | | 14 | 15 | | 15 | 45 | | 16 | 11 | | 17 | 15 | | 18 | 65 | | 19 | 10 | | 20 | 16 | | 21 | 40 | | 22 | 15 | | 23 | 13 | | 24 | 20 | | 25 | 11 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 59 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 108 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 71 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 653 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.030627871362940276 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004594180704441042 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 10.93 | | std | 8.49 | | cv | 0.776 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 1 | | 3 | 17 | | 4 | 3 | | 5 | 8 | | 6 | 17 | | 7 | 18 | | 8 | 11 | | 9 | 8 | | 10 | 18 | | 11 | 10 | | 12 | 12 | | 13 | 7 | | 14 | 14 | | 15 | 2 | | 16 | 9 | | 17 | 20 | | 18 | 2 | | 19 | 2 | | 20 | 23 | | 21 | 18 | | 22 | 5 | | 23 | 3 | | 24 | 7 | | 25 | 4 | | 26 | 6 | | 27 | 14 | | 28 | 3 | | 29 | 37 | | 30 | 9 | | 31 | 17 | | 32 | 3 | | 33 | 22 | | 34 | 25 | | 35 | 19 | | 36 | 4 | | 37 | 28 | | 38 | 3 | | 39 | 9 | | 40 | 23 | | 41 | 3 | | 42 | 11 | | 43 | 7 | | 44 | 8 | | 45 | 11 | | 46 | 8 | | 47 | 4 | | 48 | 1 | | 49 | 21 |
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| 78.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5070422535211268 | | totalSentences | 71 | | uniqueOpeners | 36 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Instead the air smelled of" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 44 | | matches | | 0 | "She had counted nine on" | | 1 | "She stopped counting." | | 2 | "It thinned and thickened like" | | 3 | "Their voice slid through the" | | 4 | "She had felt it flare" | | 5 | "It stayed cold through the" | | 6 | "She rested her palm on" | | 7 | "It was November." | | 8 | "She tapped the glass." |
| | ratio | 0.205 | |
| 16.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 44 | | matches | | 0 | "The standing stones rose from" | | 1 | "Rory counted them as she" | | 2 | "She had counted nine on" | | 3 | "She stopped counting." | | 4 | "Isolde walked ahead without disturbing" | | 5 | "Rory watched for it, the" | | 6 | "Isolde said, without turning" | | 7 | "Nyx drifted at Rory's left" | | 8 | "It thinned and thickened like" | | 9 | "Their voice slid through the" | | 10 | "Rory's hand drifted to the" | | 11 | "The Heartstone sat warm against" | | 12 | "She had felt it flare" | | 13 | "Whatever this place was, it" | | 14 | "Isolde agreed, and kept walking" | | 15 | "The Fae blade rode on" | | 16 | "Moonsilver never warmed." | | 17 | "It stayed cold through the" | | 18 | "That told her nothing, because" | | 19 | "She rested her palm on" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "The Heartstone sat warm against her breastbone, a slow, steady throb, like a second pulse that didn't belong to her." | | 1 | "Instead the air smelled of honey and cut hay and something sharper underneath, like the metal tang that lingered after a lightning strike." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde said, without turning" |
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| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Isolde agreed (agree)" | | 2 | "they whispered (whisper)" |
| | dialogueSentences | 25 | | tagDensity | 0.52 | | leniency | 1 | | rawRatio | 0.231 | | effectiveRatio | 0.231 | |