| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1546 | | 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) | |
| 57.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1546 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "stomach" | | 2 | "weight" | | 3 | "silk" | | 4 | "flickered" | | 5 | "glistening" | | 6 | "wavered" | | 7 | "whisper" | | 8 | "porcelain" | | 9 | "could feel" | | 10 | "perfect" |
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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 | 120 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1546 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1323 | | uniqueNames | 10 | | maxNameDensity | 1.36 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Veil | 1 | | Nyx | 6 | | Rory | 18 | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | Fae | 2 | | Isolde | 8 | | Cold | 1 | | Seer | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Isolde" | | 4 | "Seer" |
| | places | | | globalScore | 0.82 | | windowScore | 0.833 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 3 | | matches | | 0 | "something like pearls, each one sweating a b" | | 1 | "felt like winter water" | | 2 | "looked like cakes set out for a wedding n" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1546 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 148 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 23.07 | | std | 24.83 | | cv | 1.076 | | sampleLengths | | 0 | 9 | | 1 | 52 | | 2 | 4 | | 3 | 25 | | 4 | 18 | | 5 | 6 | | 6 | 59 | | 7 | 5 | | 8 | 6 | | 9 | 96 | | 10 | 9 | | 11 | 19 | | 12 | 6 | | 13 | 25 | | 14 | 4 | | 15 | 19 | | 16 | 78 | | 17 | 2 | | 18 | 18 | | 19 | 4 | | 20 | 31 | | 21 | 2 | | 22 | 90 | | 23 | 5 | | 24 | 20 | | 25 | 66 | | 26 | 15 | | 27 | 1 | | 28 | 17 | | 29 | 4 | | 30 | 15 | | 31 | 41 | | 32 | 8 | | 33 | 4 | | 34 | 12 | | 35 | 14 | | 36 | 15 | | 37 | 88 | | 38 | 65 | | 39 | 10 | | 40 | 3 | | 41 | 4 | | 42 | 6 | | 43 | 18 | | 44 | 70 | | 45 | 3 | | 46 | 25 | | 47 | 39 | | 48 | 52 | | 49 | 8 |
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| 99.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 120 | | matches | | 0 | "was flooded" | | 1 | "was laid" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 213 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 148 | | ratio | 0.007 | | matches | | 0 | "She could feel the warmth coming off the skin, the faint give it would have, the way her teeth would sink—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1329 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03160270880361174 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006019563581640331 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 10.45 | | std | 8.45 | | cv | 0.809 | | sampleLengths | | 0 | 9 | | 1 | 17 | | 2 | 27 | | 3 | 8 | | 4 | 4 | | 5 | 13 | | 6 | 12 | | 7 | 6 | | 8 | 8 | | 9 | 4 | | 10 | 6 | | 11 | 19 | | 12 | 36 | | 13 | 4 | | 14 | 5 | | 15 | 6 | | 16 | 4 | | 17 | 23 | | 18 | 28 | | 19 | 11 | | 20 | 12 | | 21 | 18 | | 22 | 9 | | 23 | 7 | | 24 | 4 | | 25 | 8 | | 26 | 6 | | 27 | 14 | | 28 | 11 | | 29 | 4 | | 30 | 14 | | 31 | 5 | | 32 | 7 | | 33 | 20 | | 34 | 14 | | 35 | 11 | | 36 | 26 | | 37 | 2 | | 38 | 4 | | 39 | 11 | | 40 | 3 | | 41 | 4 | | 42 | 3 | | 43 | 28 | | 44 | 2 | | 45 | 22 | | 46 | 11 | | 47 | 30 | | 48 | 9 | | 49 | 6 |
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| 75.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4797297297297297 | | totalSentences | 148 | | uniqueOpeners | 71 | |
| 99.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 101 | | matches | | 0 | "Then she did." | | 1 | "More of them littered the" | | 2 | "Then he laid it in" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 101 | | matches | | 0 | "Her stomach clenched so hard" | | 1 | "Their violet eyes flickered." | | 2 | "Their whisper curled at her" | | 3 | "She tugged the Fae blade" | | 4 | "Her silver hair lifted, stirred" | | 5 | "It lay twitching on its" | | 6 | "Her fingers were almost on" | | 7 | "She could feel the warmth" | | 8 | "Her mouth was flooded with" | | 9 | "She swallowed and it went" | | 10 | "Their grip felt like winter" | | 11 | "Its towers stacked in tiers," | | 12 | "He cut a cluster, lifted" | | 13 | "It was the first time" | | 14 | "Their outline had thinned again" | | 15 | "They took it." | | 16 | "It stood alone at the" | | 17 | "It dipped its proboscis." | | 18 | "It did not fall off." | | 19 | "It simply stayed there, drinking," |
| | ratio | 0.218 | |
| 78.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 101 | | matches | | 0 | "The rift spat them out" | | 1 | "Rory landed hard, one knee" | | 2 | "The smell hit her a" | | 3 | "Her stomach clenched so hard" | | 4 | "Isolde stood beside her, bare" | | 5 | "The air coated her tongue," | | 6 | "Nyx drifted through the last" | | 7 | "Their violet eyes flickered." | | 8 | "Rory pushed herself upright and" | | 9 | "The whole sky glowed the" | | 10 | "Trees stood in rows that" | | 11 | "Globes the size of her" | | 12 | "Clusters of something like pearls," | | 13 | "Rory looked down at her" | | 14 | "Nothing pooled beneath her." | | 15 | "Nyx's outline wavered, edges fraying" | | 16 | "Their whisper curled at her" | | 17 | "Rory touched the pendant at" | | 18 | "The Heartstone had burned against" | | 19 | "She tugged the Fae blade" |
| | ratio | 0.762 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | | ratio | 0.01 | |
| 88.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 4 | | matches | | 0 | "Nyx drifted through the last of it before it closed, a column of dark that thinned to the width of a pencil stroke and then gathered itself again, reluctant, in…" | | 1 | "Trees stood in rows that ran further than she could follow, their bark the grey-pink of salmon flesh, their branches bowed under fruit she had no names for." | | 2 | "Long green pods that split along their seams and showed rows of tiny, glistening seeds, arranged like teeth." | | 3 | "Dishes crowded the length of it: a roasted bird glazed until it shone like lacquer, a tower of pastries dusted in something that glittered, bowls of broth still…" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx's outline wavered, edges fraying like smoke in a draught" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Rory spat (spit)" | | 1 | "Rory breathed (breathe)" | | 2 | "Nyx murmured (murmur)" | | 3 | "they whispered (whisper)" |
| | dialogueSentences | 44 | | tagDensity | 0.205 | | leniency | 0.409 | | rawRatio | 0.444 | | effectiveRatio | 0.182 | |