| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 853 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 70.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 853 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flickered" | | 1 | "whisper" | | 2 | "pulse" | | 3 | "chill" |
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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 | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 853 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 765 | | uniqueNames | 5 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Nyx | 5 | | Heartstone | 2 | | Rory | 9 | | Fae | 2 | | Isolde | 3 |
| | persons | | 0 | "Nyx" | | 1 | "Heartstone" | | 2 | "Rory" | | 3 | "Isolde" |
| | places | (empty) | | globalScore | 0.912 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 82.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.172 | | wordCount | 853 | | matches | | 0 | "Not birdsong, because there were no birds, but a rustle" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 27.52 | | std | 20.41 | | cv | 0.742 | | sampleLengths | | 0 | 47 | | 1 | 24 | | 2 | 37 | | 3 | 8 | | 4 | 31 | | 5 | 34 | | 6 | 5 | | 7 | 5 | | 8 | 10 | | 9 | 63 | | 10 | 28 | | 11 | 49 | | 12 | 5 | | 13 | 72 | | 14 | 6 | | 15 | 14 | | 16 | 35 | | 17 | 11 | | 18 | 54 | | 19 | 9 | | 20 | 48 | | 21 | 14 | | 22 | 11 | | 23 | 26 | | 24 | 33 | | 25 | 77 | | 26 | 3 | | 27 | 13 | | 28 | 30 | | 29 | 37 | | 30 | 14 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 69 | | matches | | 0 | "was gone" | | 1 | "was flattened" | | 2 | "been swallowed" |
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| 95.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 128 | | matches | | 0 | "were listening" | | 1 | "wasn't blowing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 76 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 766 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.031331592689295036 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0039164490861618795 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 11.22 | | std | 7.45 | | cv | 0.663 | | sampleLengths | | 0 | 18 | | 1 | 6 | | 2 | 1 | | 3 | 22 | | 4 | 5 | | 5 | 19 | | 6 | 10 | | 7 | 12 | | 8 | 2 | | 9 | 13 | | 10 | 8 | | 11 | 15 | | 12 | 16 | | 13 | 8 | | 14 | 17 | | 15 | 9 | | 16 | 5 | | 17 | 5 | | 18 | 10 | | 19 | 7 | | 20 | 23 | | 21 | 4 | | 22 | 9 | | 23 | 20 | | 24 | 6 | | 25 | 2 | | 26 | 2 | | 27 | 18 | | 28 | 4 | | 29 | 24 | | 30 | 7 | | 31 | 14 | | 32 | 5 | | 33 | 16 | | 34 | 8 | | 35 | 18 | | 36 | 30 | | 37 | 6 | | 38 | 9 | | 39 | 5 | | 40 | 6 | | 41 | 29 | | 42 | 3 | | 43 | 8 | | 44 | 31 | | 45 | 6 | | 46 | 17 | | 47 | 5 | | 48 | 4 | | 49 | 6 |
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| 69.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4473684210526316 | | totalSentences | 76 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 58 | | matches | | 0 | "Then a single bell rang" | | 1 | "Then she saw the flowers." | | 2 | "Then at the sky." |
| | ratio | 0.052 | |
| 82.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 58 | | matches | | 0 | "She stepped between two stones" | | 1 | "Their violet eyes flickered in" | | 2 | "Her ears popped, the way" | | 3 | "Her breath came slower." | | 4 | "Her heartbeat pulled back into" | | 5 | "She pressed her palm over" | | 6 | "Its tone hung in the" | | 7 | "They grew in a carpet" | | 8 | "Its petals were cold and" | | 9 | "Her fingers tingled." | | 10 | "She rubbed them against her" | | 11 | "It had never glowed in" | | 12 | "She glanced down at it." | | 13 | "Her voice came back to" | | 14 | "she said, and her voice" | | 15 | "Her own boot prints dented" | | 16 | "Its water ran silver and" | | 17 | "It pooled into a flat" | | 18 | "She stepped back." | | 19 | "Their outline rippled, thinning and" |
| | ratio | 0.345 | |
| 54.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 58 | | matches | | 0 | "The standing stones rose out" | | 1 | "Rory counted them without meaning" | | 2 | "Lichen the colour of old" | | 3 | "She stepped between two stones" | | 4 | "Rory looked at the ground" | | 5 | "The grass there was flattened" | | 6 | "Nyx drifted beside her, a" | | 7 | "Their violet eyes flickered in" | | 8 | "The voice came from everywhere" | | 9 | "Rory exhaled through her nose" | | 10 | "The change arrived before the" | | 11 | "Her ears popped, the way" | | 12 | "Her breath came slower." | | 13 | "Her heartbeat pulled back into" | | 14 | "She pressed her palm over" | | 15 | "Something else was near, something" | | 16 | "The sound returned first." | | 17 | "Its tone hung in the" | | 18 | "They grew in a carpet" | | 19 | "Snowdrops pushed up through the" |
| | ratio | 0.81 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 58 | | matches | | 0 | "Now a faint silver light" |
| | ratio | 0.017 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Lichen the colour of old bruises crawled over each one, and the oaks behind them leaned inward, as though they were listening." | | 1 | "Something else was near, something that lived on the far side of a door she had never opened." | | 2 | "Foxgloves stood tall and dressed in a pale frost that glittered in a sun she could not find." | | 3 | "Its petals were cold and dry, and when she pulled her hand away, the stem bent and straightened as if it had been waiting for her to notice it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |