| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Nyx said quietly [quietly]" |
| | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 95.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1063 | | 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) | |
| 90.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1063 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1070 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 967 | | uniqueNames | 4 | | maxNameDensity | 1.45 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Earth" | | 3 | "Isolde" |
| | places | (empty) | | globalScore | 0.776 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1070 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 35.67 | | std | 30.01 | | cv | 0.842 | | sampleLengths | | 0 | 31 | | 1 | 46 | | 2 | 53 | | 3 | 89 | | 4 | 23 | | 5 | 4 | | 6 | 2 | | 7 | 86 | | 8 | 38 | | 9 | 6 | | 10 | 58 | | 11 | 16 | | 12 | 28 | | 13 | 41 | | 14 | 3 | | 15 | 11 | | 16 | 3 | | 17 | 34 | | 18 | 22 | | 19 | 71 | | 20 | 91 | | 21 | 13 | | 22 | 19 | | 23 | 120 | | 24 | 23 | | 25 | 5 | | 26 | 41 | | 27 | 10 | | 28 | 36 | | 29 | 47 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 149 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 78 | | ratio | 0.09 | | matches | | 0 | "On the second step the air changed — thick, warm, wet, sweet enough to coat her tongue." | | 1 | "The sky was amber — no sun in it anywhere, no cloud, only that warm honey light arriving from every direction at once, so that nothing cast a shadow and every tree stood lit from all sides." | | 2 | "Fruit hung from the branches in colours Rory had no words for — blue the shade of deep water, a green that leaned yellow, one amber globe the size of her head, its skin translucent enough to show the dark pit turning inside like a slow eye." | | 3 | "The path became a road of packed clay, wide enough for carts, and carts had been on it — deep grooves worn by wheels, and in the grooves, food." | | 4 | "When one passed within an arm's length of Rory, she saw the face under the white cap — smooth, calm, the eyes open and fixed on the branch ahead." | | 5 | "To the right, the orchards dropped away into a lake of something that was not water — dark, slow, moving in long folds, smelling of plum and smoke." | | 6 | "Nyx lifted one hand and pointed at nothing in particular — the middle distance, the place where the amber sky met the red hills and the whole horizon softened into one warm blur, like a wound gone soft at the edges." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02598752598752599 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004158004158004158 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.72 | | std | 11.52 | | cv | 0.84 | | sampleLengths | | 0 | 4 | | 1 | 27 | | 2 | 4 | | 3 | 17 | | 4 | 25 | | 5 | 6 | | 6 | 30 | | 7 | 17 | | 8 | 4 | | 9 | 22 | | 10 | 37 | | 11 | 4 | | 12 | 5 | | 13 | 17 | | 14 | 7 | | 15 | 16 | | 16 | 4 | | 17 | 2 | | 18 | 8 | | 19 | 47 | | 20 | 8 | | 21 | 23 | | 22 | 3 | | 23 | 3 | | 24 | 32 | | 25 | 6 | | 26 | 4 | | 27 | 6 | | 28 | 20 | | 29 | 3 | | 30 | 11 | | 31 | 14 | | 32 | 4 | | 33 | 12 | | 34 | 6 | | 35 | 1 | | 36 | 21 | | 37 | 18 | | 38 | 23 | | 39 | 3 | | 40 | 11 | | 41 | 3 | | 42 | 9 | | 43 | 25 | | 44 | 5 | | 45 | 17 | | 46 | 3 | | 47 | 29 | | 48 | 4 | | 49 | 5 |
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| 90.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5897435897435898 | | totalSentences | 78 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 63 | | matches | | 0 | "Just her own pale skin," | | 1 | "Then fat roasting." | | 2 | "Then caramel, then a spice" | | 3 | "Too many strings." |
| | ratio | 0.063 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 63 | | matches | | 0 | "She stopped and turned a" | | 1 | "Their voice came off the" | | 2 | "Her bare feet crossed the" | | 3 | "She smelled yeast." | | 4 | "Her lavender eyes moved down" | | 5 | "They walked on." | | 6 | "They bent to the trees" | | 7 | "They filled their baskets and" | | 8 | "Their hands never slowed." | | 9 | "Their baskets never filled past" | | 10 | "Her hair, silver to the" | | 11 | "She started down the far" |
| | ratio | 0.19 | |
| 86.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 63 | | matches | | 0 | "The gate stood open." | | 1 | "Rory stepped through first." | | 2 | "She stopped and turned a" | | 3 | "Their voice came off the" | | 4 | "The sky was amber —" | | 5 | "Rory lifted her hand." | | 6 | "Isolde walked past her without" | | 7 | "Her bare feet crossed the" | | 8 | "The path narrowed between two" | | 9 | "Fruit hung from the branches" | | 10 | "The soil beneath it drank," | | 11 | "She smelled yeast." | | 12 | "Nyx tilted their head." | | 13 | "Violet light moved behind their" | | 14 | "A drum beating at half" | | 15 | "Laughter, far off, the kind" | | 16 | "The pendant against Rory's sternum" | | 17 | "Isolde stopped at a vine" | | 18 | "Each grape was the size" | | 19 | "Rory reached out." |
| | ratio | 0.746 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "To the right, the orchards" |
| | ratio | 0.016 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 6 | | matches | | 0 | "Two iron posts, green-black with age, and between them nothing but a stretch of pale dust that ran uphill and disappeared over a crest of red grass." | | 1 | "Fruit hung from the branches in colours Rory had no words for — blue the shade of deep water, a green that leaned yellow, one amber globe the size of her head, …" | | 2 | "Underneath the smell, under the low hum that hung over the whole valley like heat over tarmac, there was music." | | 3 | "To the right, the orchards dropped away into a lake of something that was not water — dark, slow, moving in long folds, smelling of plum and smoke." | | 4 | "The pendant beat faster against her ribs, and the warmth moved out through her chest, into her shoulder, down the arm to the small crescent scar on her wrist, w…" | | 5 | "Behind her, Isolde's bare feet crossed the clay and left it unmarked, and Nyx came as a long thin shadow that had no caster, sliding over the bread-strewn road,…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |