| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1029 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "quickly" | | 1 | "softly" | | 2 | "very" |
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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) | |
| 56.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1029 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "throbbed" | | 4 | "firmly" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1037 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 992 | | uniqueNames | 14 | | maxNameDensity | 0.4 | | worstName | "You" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | Tube | 1 | | Rory | 3 | | Richmond | 3 | | Heartstone | 3 | | Sheen | 1 | | Gate | 1 | | Park | 2 | | Eva | 1 | | Isabella | 1 | | Plantation | 1 | | Sunday | 1 | | Evan | 1 | | November | 2 | | You | 4 |
| | persons | | 0 | "Tube" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Eva" | | 4 | "Evan" | | 5 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Isabella" | | 3 | "Plantation" | | 4 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1037 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 24.69 | | std | 27.05 | | cv | 1.095 | | sampleLengths | | 0 | 75 | | 1 | 6 | | 2 | 7 | | 3 | 71 | | 4 | 18 | | 5 | 41 | | 6 | 37 | | 7 | 20 | | 8 | 108 | | 9 | 3 | | 10 | 7 | | 11 | 3 | | 12 | 82 | | 13 | 5 | | 14 | 6 | | 15 | 5 | | 16 | 79 | | 17 | 17 | | 18 | 33 | | 19 | 6 | | 20 | 16 | | 21 | 13 | | 22 | 8 | | 23 | 87 | | 24 | 5 | | 25 | 2 | | 26 | 23 | | 27 | 5 | | 28 | 4 | | 29 | 18 | | 30 | 3 | | 31 | 25 | | 32 | 9 | | 33 | 48 | | 34 | 22 | | 35 | 2 | | 36 | 39 | | 37 | 13 | | 38 | 20 | | 39 | 30 | | 40 | 7 | | 41 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 21.03% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 149 | | matches | | 0 | "was listening" | | 1 | "were holding" | | 2 | "were smelling" | | 3 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 92 | | ratio | 0.087 | | matches | | 0 | "Not a wrong one — a real one, a silent carriage that pulled up alongside hers for half a breath and then vanished into the black." | | 1 | "Not faded — gone, as though someone had closed a door behind her." | | 2 | "Not loud — just a steady, patient heartbeat between her collarbones, exactly the tempo of her own, and then, horribly, a little faster." | | 3 | "The oaks made themselves visible about twenty paces further on, the way things do in dreams — she had been walking toward them, she thought, but they stepped into place rather than growing nearer." | | 4 | "The wrong gait — too many pauses in it, like a thing stepping through a film played one frame at a time." | | 5 | "Grove-silence was different from park-silence; grove-silence felt furnished." | | 6 | "The November in her bones, the damp of her jeans against her calves, the ache that had been building in her left wrist where the little crescent scar always complained about weather — all of it stopped at the threshold like coats left at a door." | | 7 | "And then, from somewhere very close — closer than the oaks, closer than her own shadow should have allowed — a breath." |
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| 95.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 991 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.045408678102926335 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013118062563067608 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.27 | | std | 9.13 | | cv | 0.81 | | sampleLengths | | 0 | 27 | | 1 | 26 | | 2 | 22 | | 3 | 1 | | 4 | 5 | | 5 | 7 | | 6 | 11 | | 7 | 30 | | 8 | 28 | | 9 | 2 | | 10 | 5 | | 11 | 13 | | 12 | 11 | | 13 | 3 | | 14 | 7 | | 15 | 20 | | 16 | 21 | | 17 | 16 | | 18 | 4 | | 19 | 16 | | 20 | 3 | | 21 | 23 | | 22 | 14 | | 23 | 17 | | 24 | 25 | | 25 | 5 | | 26 | 4 | | 27 | 17 | | 28 | 3 | | 29 | 3 | | 30 | 4 | | 31 | 3 | | 32 | 34 | | 33 | 6 | | 34 | 25 | | 35 | 4 | | 36 | 11 | | 37 | 2 | | 38 | 5 | | 39 | 6 | | 40 | 5 | | 41 | 6 | | 42 | 27 | | 43 | 3 | | 44 | 8 | | 45 | 7 | | 46 | 28 | | 47 | 17 | | 48 | 3 | | 49 | 6 |
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| 59.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.44565217391304346 | | totalSentences | 92 | | uniqueOpeners | 41 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Instead, the hum had gone." | | 1 | "Somewhere in the trees, something" |
| | ratio | 0.026 | |
| 76.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 78 | | matches | | 0 | "She'd been thinking about it" | | 1 | "It had been warm since" | | 2 | "She'd walked it in daylight" | | 3 | "Her own breath." | | 4 | "she said, because saying things" | | 5 | "She didn't believe herself." | | 6 | "She didn't think the grove" | | 7 | "She put two fingers under" | | 8 | "She had seen it half" | | 9 | "She looked up." | | 10 | "She stopped at the boundary." | | 11 | "She did not turn her" | | 12 | "She had learned, at twenty-two," | | 13 | "You looked sideways." | | 14 | "You used the pane of" | | 15 | "You used the curve of" | | 16 | "You let the movement come" | | 17 | "She breathed out through her" | | 18 | "she called, softly, into the" | | 19 | "She took a step forward," |
| | ratio | 0.359 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 78 | | matches | | 0 | "The Tube had spat Rory" | | 1 | "She'd been thinking about it" | | 2 | "That was the other thing." | | 3 | "It had been warm since" | | 4 | "Richmond Park at night was" | | 5 | "She'd walked it in daylight" | | 6 | "Rory stopped at the edge" | | 7 | "Her own breath." | | 8 | "The small, guilty creak of" | | 9 | "she said, because saying things" | | 10 | "She didn't believe herself." | | 11 | "She didn't think the grove" | | 12 | "The pendant pulsed." | | 13 | "She put two fingers under" | | 14 | "The deep crimson was visible" | | 15 | "The sky above was clear." | | 16 | "She had seen it half" | | 17 | "She looked up." | | 18 | "The oaks made themselves visible" | | 19 | "She stopped at the boundary." |
| | ratio | 0.705 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "She'd been thinking about it the whole walk up, her boots crunching gravel, the Heartstone warm against her sternum beneath her jumper." | | 1 | "Standing stones of living wood, older than any stone, their trunks rising thick and fluted and motionless as pillars, their crowns lost somewhere above her." | | 2 | "The November in her bones, the damp of her jeans against her calves, the ache that had been building in her left wrist where the little crescent scar always com…" | | 3 | "Warm air came up to meet her, smelling of cut grass and thyme and something beneath it that was not quite either." | | 4 | "It came in, long and considering, as if someone were smelling her hair." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |