| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 22 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 94.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 956 | | totalAiIsmAdverbs | 1 | | 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) | |
| 68.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 956 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "stomach" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "throbbed" |
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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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | 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 | 956 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 813 | | uniqueNames | 11 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | December | 1 | | Rory | 12 | | Isolde | 7 | | Nyx | 3 | | Shade | 1 | | Veil | 2 | | Seer | 2 | | Heartstone | 1 | | Hel-tainted | 1 | | Southwark | 1 | | Fae-forged | 1 |
| | persons | | 0 | "Rory" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Shade" | | 4 | "Seer" |
| | places | | 0 | "Heartstone" | | 1 | "Southwark" |
| | globalScore | 0.762 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.092 | | wordCount | 956 | | matches | | 0 | "not yet risen, but the blade glimmered faintly all the same, like frost on a wi" | | 1 | "not lanterns but moths, thousands of them, their wings glowing soft amber" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 34.14 | | std | 28.13 | | cv | 0.824 | | sampleLengths | | 0 | 67 | | 1 | 12 | | 2 | 17 | | 3 | 14 | | 4 | 79 | | 5 | 10 | | 6 | 81 | | 7 | 8 | | 8 | 67 | | 9 | 15 | | 10 | 27 | | 11 | 19 | | 12 | 88 | | 13 | 5 | | 14 | 78 | | 15 | 4 | | 16 | 28 | | 17 | 1 | | 18 | 11 | | 19 | 47 | | 20 | 10 | | 21 | 83 | | 22 | 40 | | 23 | 40 | | 24 | 21 | | 25 | 13 | | 26 | 53 | | 27 | 18 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 58 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 133 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 816 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.030637254901960783 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00857843137254902 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 13.86 | | std | 10.1 | | cv | 0.729 | | sampleLengths | | 0 | 23 | | 1 | 6 | | 2 | 1 | | 3 | 37 | | 4 | 9 | | 5 | 3 | | 6 | 5 | | 7 | 12 | | 8 | 9 | | 9 | 5 | | 10 | 11 | | 11 | 32 | | 12 | 36 | | 13 | 5 | | 14 | 5 | | 15 | 5 | | 16 | 34 | | 17 | 22 | | 18 | 2 | | 19 | 10 | | 20 | 8 | | 21 | 8 | | 22 | 29 | | 23 | 8 | | 24 | 30 | | 25 | 6 | | 26 | 9 | | 27 | 4 | | 28 | 16 | | 29 | 4 | | 30 | 3 | | 31 | 19 | | 32 | 7 | | 33 | 43 | | 34 | 29 | | 35 | 9 | | 36 | 5 | | 37 | 10 | | 38 | 20 | | 39 | 21 | | 40 | 27 | | 41 | 4 | | 42 | 16 | | 43 | 12 | | 44 | 1 | | 45 | 11 | | 46 | 15 | | 47 | 14 | | 48 | 18 | | 49 | 10 |
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| 93.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5797101449275363 | | totalSentences | 69 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 47 | | matches | | 0 | "Then the Veil gave way" | | 1 | "Only a silence so full" | | 2 | "Then the surface shifted, and" |
| | ratio | 0.064 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 47 | | matches | | 0 | "She looked down and found" | | 1 | "She tapped the glass." | | 2 | "It kept going." | | 3 | "Her silver hair hung to" | | 4 | "It still made the back" | | 5 | "She had felt it do" | | 6 | "They crested the rise, and" | | 7 | "It was a bowl of" | | 8 | "They drifted in slow spirals," | | 9 | "Their violet eyes brightened to" | | 10 | "She took a breath and" | | 11 | "she said quietly" | | 12 | "She pointed past the pool," |
| | ratio | 0.277 | |
| 45.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 47 | | matches | | 0 | "The oak stones stood in" | | 1 | "Rory counted them without meaning" | | 2 | "Each one was taller than" | | 3 | "Isolde said, without turning around" | | 4 | "Nyx laughed, a soft sound" | | 5 | "The Shade had been walking" | | 6 | "Rory stepped between the stones." | | 7 | "The shimmer came first, a" | | 8 | "She looked down and found" | | 9 | "Foxglove stood in clumps taller" | | 10 | "Bluebells ran in a river" | | 11 | "Rory checked her watch." | | 12 | "The second hand was moving," | | 13 | "She tapped the glass." | | 14 | "It kept going." | | 15 | "The Seer moved ahead through" | | 16 | "Her silver hair hung to" | | 17 | "Rory had seen the same" | | 18 | "It still made the back" | | 19 | "Something pressed against her chest." |
| | ratio | 0.83 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 47 | | matches | | 0 | "Now they drifted to the" | | 1 | "Even through leather, the metal" |
| | ratio | 0.043 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Beneath her boots, grass grew thick and green, dotted with clover, and tiny white flowers opened their faces to a sky that had not yet decided on a colour." | | 1 | "The second hand was moving, but backwards, a slow creeping retreat that made her stomach turn." | | 2 | "Her silver hair hung to her waist and caught a light that came from nowhere, and when Rory looked at the path behind her, the grass was bent in a neat line wher…" | | 3 | "It was a bowl of silver water, perhaps a hundred yards across, fed by a stream that ran uphill over its own bed, bubbling as it climbed the lip of the basin and…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde said, without turning around" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "they murmured (murmur)" |
| | dialogueSentences | 22 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |