| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 41 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0.067 | | effectiveRatio | 0.049 | |
| 64.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1255 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "slightly" | | 4 | "suddenly" | | 5 | "perfectly" | | 6 | "utterly" | | 7 | "gently" |
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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) | |
| 80.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1255 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "weight" | | 2 | "echo" | | 3 | "stomach" | | 4 | "whisper" |
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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 | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1267 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1068 | | uniqueNames | 10 | | maxNameDensity | 1.4 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | February | 1 | | Rory | 15 | | Nyx | 6 | | Eva | 12 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Hel | 1 | | Wonder | 1 | | Cardiff | 1 |
| | persons | | 0 | "February" | | 1 | "Rory" | | 2 | "Nyx" | | 3 | "Eva" | | 4 | "Heartstone" | | 5 | "Wonder" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" |
| | globalScore | 0.798 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "Something like birdsong that had learned the" |
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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 | 1267 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.86 | | std | 28.58 | | cv | 1.105 | | sampleLengths | | 0 | 16 | | 1 | 87 | | 2 | 8 | | 3 | 3 | | 4 | 1 | | 5 | 26 | | 6 | 47 | | 7 | 3 | | 8 | 5 | | 9 | 42 | | 10 | 89 | | 11 | 11 | | 12 | 25 | | 13 | 22 | | 14 | 3 | | 15 | 96 | | 16 | 10 | | 17 | 6 | | 18 | 6 | | 19 | 54 | | 20 | 9 | | 21 | 74 | | 22 | 7 | | 23 | 2 | | 24 | 2 | | 25 | 67 | | 26 | 1 | | 27 | 1 | | 28 | 19 | | 29 | 75 | | 30 | 1 | | 31 | 3 | | 32 | 3 | | 33 | 52 | | 34 | 10 | | 35 | 2 | | 36 | 9 | | 37 | 17 | | 38 | 77 | | 39 | 70 | | 40 | 8 | | 41 | 3 | | 42 | 75 | | 43 | 12 | | 44 | 16 | | 45 | 32 | | 46 | 34 | | 47 | 12 | | 48 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 83.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 171 | | matches | | 0 | "wasn't touching" | | 1 | "was looking" | | 2 | "was doing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 10 | | totalSentences | 103 | | ratio | 0.097 | | matches | | 0 | "She could see it stop — frost on the grass to her side of the ring, and past it, three feet away, cowslips and bluebells and something with petals the colour of raw liver, all of it nodding in a wind that wasn't touching her hair." | | 1 | "Eva laughed — one short, ugly bark of a laugh, the kind that comes out of people right before they cry — and then Rory stepped between two of the oaks and the sound cut off like a phone dropping a call." | | 2 | "The grove ran maybe forty yards across, and Rory knew — the way you know the shape of your own bedroom in the dark — that it was bigger inside than the ring allowed." | | 3 | "Wildflowers grew in drifts and spirals, and the spirals were deliberate; she could see the pattern of them from where she stood, the way you see a face in a crowd." | | 4 | "The ground rose, which it shouldn't have — Richmond Park was flat as a plate out here, Rory had cycled it a hundred times — and as they climbed, the noise started." | | 5 | "They walked without disturbing anything, and Rory noticed they'd gone solid — properly solid, boot-shaped depressions in the moss — which meant they wanted to be." | | 6 | "The water was black and utterly still, and it held the sky — but not the sky above them." | | 7 | "At her throat the Heartstone hung cold as a coin, and she took a strange comfort in that; whatever this place was, it wasn't Hel, it had no door down." | | 8 | "\"You don't.\" Rory said it gently, because it was true, and because she'd seen Eva's face in the last thirty seconds — the way she kept turning her head to catch the flowers moving, the way her hand had gone out to a hanging vine without her deciding it." | | 9 | "Just the frame — moonsilver-pale wood, or stone pretending to be wood, standing upright in the moss with grass grown thick through where a threshold should be." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1062 | | adjectiveStacks | 2 | | stackExamples | | 0 | "solid, boot-shaped depressions" | | 1 | "Hard blue, high white cloud," |
| | adverbCount | 36 | | adverbRatio | 0.03389830508474576 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011299435028248588 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 12.3 | | std | 11.95 | | cv | 0.972 | | sampleLengths | | 0 | 16 | | 1 | 9 | | 2 | 26 | | 3 | 6 | | 4 | 46 | | 5 | 3 | | 6 | 5 | | 7 | 3 | | 8 | 1 | | 9 | 23 | | 10 | 3 | | 11 | 3 | | 12 | 26 | | 13 | 5 | | 14 | 13 | | 15 | 3 | | 16 | 5 | | 17 | 42 | | 18 | 3 | | 19 | 5 | | 20 | 19 | | 21 | 6 | | 22 | 56 | | 23 | 6 | | 24 | 5 | | 25 | 21 | | 26 | 4 | | 27 | 14 | | 28 | 3 | | 29 | 5 | | 30 | 3 | | 31 | 34 | | 32 | 31 | | 33 | 7 | | 34 | 5 | | 35 | 19 | | 36 | 10 | | 37 | 5 | | 38 | 1 | | 39 | 6 | | 40 | 9 | | 41 | 14 | | 42 | 31 | | 43 | 7 | | 44 | 2 | | 45 | 4 | | 46 | 32 | | 47 | 2 | | 48 | 22 | | 49 | 3 |
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| 89.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5631067961165048 | | totalSentences | 103 | | uniqueOpeners | 58 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Just the frame — moonsilver-pale" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 67 | | matches | | 0 | "She could see it stop" | | 1 | "They'd come out of the" | | 2 | "It leaned toward her feet." | | 3 | "Her own voice came back" | | 4 | "Her mouth opened." | | 5 | "They went in deeper." | | 6 | "They walked without disturbing anything," | | 7 | "She sat back on her" | | 8 | "Her hands had gone damp." | | 9 | "She went four trees along" | | 10 | "she said, loud, to the" |
| | ratio | 0.164 | |
| 71.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 67 | | matches | | 0 | "The oaks stood in a" | | 1 | "Rory counted them twice because" | | 2 | "Bark like grey stone, trunks" | | 3 | "She could see it stop" | | 4 | "Rory patted her jacket pockets," | | 5 | "They'd come out of the" | | 6 | "Violet light where eyes belonged." | | 7 | "Eva laughed — one short," | | 8 | "The cold went." | | 9 | "That was the first thing." | | 10 | "The second thing was the" | | 11 | "The third thing was the" | | 12 | "It leaned toward her feet." | | 13 | "Her own voice came back" | | 14 | "Eva came through with her" | | 15 | "Her mouth opened." | | 16 | "Nothing came out of it." | | 17 | "The grove ran maybe forty" | | 18 | "Wildflowers grew in drifts and" | | 19 | "Moss climbed the standing stones" |
| | ratio | 0.776 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Bark like grey stone, trunks split down the middle as though something had walked out of each one and never bothered closing the door behind it." | | 1 | "She could see it stop — frost on the grass to her side of the ring, and past it, three feet away, cowslips and bluebells and something with petals the colour of…" | | 2 | "Something like birdsong that had learned the tune by ear and got the intervals slightly wrong, coming from three directions, answering itself." | | 3 | "They walked without disturbing anything, and Rory noticed they'd gone solid — properly solid, boot-shaped depressions in the moss — which meant they wanted to b…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.244 | | leniency | 0.488 | | rawRatio | 0.1 | | effectiveRatio | 0.049 | |