| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.333 | | effectiveRatio | 0.2 | |
| 88.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1327 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "perfectly" | | 2 | "warmly" |
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| 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) | |
| 73.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1327 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "familiar" | | 4 | "firmly" | | 5 | "lilt" |
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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 | 1 | | narrationSentences | 113 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 17 | | totalWords | 1337 | | ratio | 0.013 | | matches | | 0 | "Come to the grove. Alone. Before the moon touches the tallest stone." | | 1 | "ting-ting" | | 2 | "outside your head" | | 3 | "Rory." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1318 | | uniqueNames | 22 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Rory | 10 | | Sawyer | 1 | | Hill | 1 | | Eva | 5 | | Heathrow | 1 | | Heartstone | 3 | | Hel | 2 | | Fae-touched | 1 | | Isolde | 2 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 2 | | Cantonese | 1 | | Pre-Law | 1 | | Bethnal | 1 | | Green | 1 | | Evan | 1 | | Aurora | 1 | | Carter | 1 | | Nine | 3 |
| | persons | | 0 | "Rory" | | 1 | "Sawyer" | | 2 | "Eva" | | 3 | "Heartstone" | | 4 | "Isolde" | | 5 | "Evan" | | 6 | "Aurora" | | 7 | "Carter" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "Yu-Fei" | | 4 | "Cantonese" | | 5 | "Bethnal" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the inside of a flower petal" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.244 | | wordCount | 1337 | | matches | | 0 | "not wrong, exactly, but noted" | | 1 | "not faintly, not the usual ember-in-a-dark-room suggestion of light, but properly glowing, pulsing in a slow rhythm" | | 2 | "not the usual ember-in-a-dark-room suggestion of light, but properly glowing, pulsing in a slow rhythm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 28.45 | | std | 28.31 | | cv | 0.995 | | sampleLengths | | 0 | 55 | | 1 | 32 | | 2 | 76 | | 3 | 20 | | 4 | 72 | | 5 | 6 | | 6 | 27 | | 7 | 83 | | 8 | 15 | | 9 | 1 | | 10 | 3 | | 11 | 53 | | 12 | 8 | | 13 | 75 | | 14 | 4 | | 15 | 9 | | 16 | 44 | | 17 | 3 | | 18 | 10 | | 19 | 55 | | 20 | 16 | | 21 | 9 | | 22 | 71 | | 23 | 16 | | 24 | 13 | | 25 | 6 | | 26 | 99 | | 27 | 38 | | 28 | 25 | | 29 | 12 | | 30 | 1 | | 31 | 3 | | 32 | 59 | | 33 | 16 | | 34 | 3 | | 35 | 64 | | 36 | 20 | | 37 | 12 | | 38 | 12 | | 39 | 1 | | 40 | 102 | | 41 | 26 | | 42 | 26 | | 43 | 9 | | 44 | 1 | | 45 | 22 | | 46 | 4 |
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| 99.05% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 113 | | matches | | 0 | "been chained" | | 1 | "were used" |
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| 65.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 198 | | matches | | 0 | "was already going" | | 1 | "was going" | | 2 | "were doing" | | 3 | "was glowing " |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 119 | | ratio | 0.084 | | matches | | 0 | "Isolde's message had come the way her messages always came — folded into the lining of Rory's jacket pocket, on paper that felt like the inside of a flower petal, in handwriting that made her eyes ache if she looked too long." | | 1 | "That was the first thing — not wrong, exactly, but noted." | | 2 | "Between them the wildflowers were doing their impossible thing — cornflowers and foxgloves and something white and bell-shaped in mid-February, glowing faintly the way pale things do at night." | | 3 | "It always did — a soft pressure-drop, like walking into a church, and behind her the noise of the world went away entirely." | | 4 | "The gem was glowing — not faintly, not the usual ember-in-a-dark-room suggestion of light, but properly glowing, pulsing in a slow rhythm that did not match her heartbeat, and each pulse pushed heat up into her jaw." | | 5 | "The grove was Fae-touched, sealed, older than any of that; Isolde had explained it once with the patient contempt she reserved for humans asking about plumbing." | | 6 | "A small metallic *ting-ting* — two notes, cheap and bright." | | 7 | "She began to walk — not toward the sound, not running either, just moving, because standing in one place had started to feel like being on a plate." | | 8 | "Every instinct in her body wanted to turn round, and Rory understood — with a clarity that arrived cold and complete, the way answers sometimes did, the way they had the night she'd finally walked out of Evan's flat with two carrier bags and a broken wrist splinted in a tea towel — that turning round was the single thing she must not do." | | 9 | "Behind her, the thing said her name again, and then it said it in her mother's voice, and then in Yu-Fei's, and then in her father's, and then in her own — perfectly, warmly, patiently, working through everyone who had ever loved her like a man trying keys in a lock." |
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| 90.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1323 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Warm, greasy, familiar kitchen" |
| | adverbCount | 58 | | adverbRatio | 0.04383975812547241 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.012849584278155708 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 11.24 | | std | 12.3 | | cv | 1.095 | | sampleLengths | | 0 | 40 | | 1 | 5 | | 2 | 10 | | 3 | 10 | | 4 | 1 | | 5 | 4 | | 6 | 17 | | 7 | 22 | | 8 | 42 | | 9 | 4 | | 10 | 1 | | 11 | 7 | | 12 | 5 | | 13 | 5 | | 14 | 10 | | 15 | 6 | | 16 | 11 | | 17 | 27 | | 18 | 19 | | 19 | 3 | | 20 | 6 | | 21 | 4 | | 22 | 2 | | 23 | 9 | | 24 | 18 | | 25 | 13 | | 26 | 41 | | 27 | 29 | | 28 | 11 | | 29 | 4 | | 30 | 1 | | 31 | 3 | | 32 | 3 | | 33 | 23 | | 34 | 2 | | 35 | 6 | | 36 | 19 | | 37 | 8 | | 38 | 31 | | 39 | 7 | | 40 | 37 | | 41 | 4 | | 42 | 9 | | 43 | 8 | | 44 | 3 | | 45 | 26 | | 46 | 7 | | 47 | 3 | | 48 | 2 | | 49 | 8 |
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| 67.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4406779661016949 | | totalSentences | 118 | | uniqueOpeners | 52 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Somewhere behind her, on the" | | 1 | "Then, because she was Aurora" |
| | ratio | 0.022 | |
| 95.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 90 | | matches | | 0 | "Her ankles took it badly." | | 1 | "She checked her phone at" | | 2 | "She hated the deadline more." | | 3 | "she said aloud" | | 4 | "Her voice didn't carry the" | | 5 | "It went out of her" | | 6 | "She counted the stones." | | 7 | "She stepped through." | | 8 | "It always did — a" | | 9 | "She felt it before she" | | 10 | "She dragged it out of" | | 11 | "She turned in a slow" | | 12 | "She heard it again, three" | | 13 | "She said it firmly, the" | | 14 | "She began to walk —" | | 15 | "She stared at the gap" | | 16 | "She counted to twenty." | | 17 | "She'd read about this once," | | 18 | "Her voice still went nowhere." | | 19 | "She stopped breathing." |
| | ratio | 0.311 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 90 | | matches | | 0 | "The gate at Richmond Park" | | 1 | "Her ankles took it badly." | | 2 | "She checked her phone at" | | 3 | "Battery at sixty-one percent." | | 4 | "The grove was a half-mile" | | 5 | "Isolde's message had come the" | | 6 | "Rory hated the alone part." | | 7 | "She hated the deadline more." | | 8 | "Fae never gave deadlines unless" | | 9 | "The deer watched her go" | | 10 | "That was the first thing" | | 11 | "she said aloud" | | 12 | "Her voice didn't carry the" | | 13 | "It went out of her" | | 14 | "The standing stones came up" | | 15 | "Rory stopped at the boundary" | | 16 | "She counted the stones." | | 17 | "She stepped through." | | 18 | "The temperature changed." | | 19 | "It always did — a" |
| | ratio | 0.711 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Before the moon touches the" |
| | ratio | 0.011 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "Isolde's message had come the way her messages always came — folded into the lining of Rory's jacket pocket, on paper that felt like the inside of a flower peta…" | | 1 | "The silence had a shape to it, a curvature, as though she stood inside a bowl turned upside down." | | 2 | "The gem was glowing — not faintly, not the usual ember-in-a-dark-room suggestion of light, but properly glowing, pulsing in a slow rhythm that did not match her…" | | 3 | "Every instinct in her body wanted to turn round, and Rory understood — with a clarity that arrived cold and complete, the way answers sometimes did, the way the…" | | 4 | "Behind her, the thing said her name again, and then it said it in her mother's voice, and then in Yu-Fei's, and then in her father's, and then in her own — perf…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |