| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1037 | | 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) | |
| 42.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1037 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "warmth" | | 1 | "footsteps" | | 2 | "pulsed" | | 3 | "weight" | | 4 | "could feel" | | 5 | "throb" | | 6 | "pulse" | | 7 | "stomach" |
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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 | 95 | | matches | (empty) | |
| 97.74% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1044 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1017 | | uniqueNames | 8 | | maxNameDensity | 0.79 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Richmond | 3 | | Carter | 1 | | Eva | 7 | | Hers | 1 | | Park | 2 | | October | 1 | | Heartstone | 2 |
| | persons | | 0 | "Rory" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "Hers" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "quite manage" | | 1 | "sounded like someone she'd known for years" |
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| 8.43% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.916 | | wordCount | 1044 | | matches | | 0 | "Not autumn-black, not rot, but ink-black" | | 1 | "not rot, but ink-black" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 26.77 | | std | 22.73 | | cv | 0.849 | | sampleLengths | | 0 | 52 | | 1 | 6 | | 2 | 64 | | 3 | 21 | | 4 | 58 | | 5 | 11 | | 6 | 5 | | 7 | 58 | | 8 | 36 | | 9 | 4 | | 10 | 39 | | 11 | 6 | | 12 | 26 | | 13 | 5 | | 14 | 71 | | 15 | 4 | | 16 | 52 | | 17 | 10 | | 18 | 76 | | 19 | 18 | | 20 | 38 | | 21 | 3 | | 22 | 45 | | 23 | 25 | | 24 | 19 | | 25 | 5 | | 26 | 40 | | 27 | 21 | | 28 | 1 | | 29 | 39 | | 30 | 3 | | 31 | 1 | | 32 | 38 | | 33 | 3 | | 34 | 73 | | 35 | 31 | | 36 | 10 | | 37 | 5 | | 38 | 22 |
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| 94.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 95 | | matches | | 0 | "was supposed" | | 1 | "was gone" | | 2 | "was doubled " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 177 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 100 | | ratio | 0.05 | | matches | | 0 | "Not pulsing, not yet — just a steady heat against her collarbone, the way a mug felt through a jumper." | | 1 | "Not the absence of sound — Richmond Park was never truly silent, there were always deer shuffling, foxes coughing, the distant hush of the A316 — but a scrubbed-out, padded quiet, as if someone had pressed a palm against the world." | | 2 | "Not carved — she was sure of that, almost sure — but grown, the bark folded into the suggestion of a brow, a closed eye, the long pull of a mouth." | | 3 | "She tracked it by ear — behind her, to her left, in front, and then, impossibly, above." | | 4 | "The laugh came again, closer, and this time it was doubled — two voices, perhaps three, overlapping in a way that mouths couldn't quite manage." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1015 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03645320197044335 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0049261083743842365 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.44 | | std | 8.9 | | cv | 0.852 | | sampleLengths | | 0 | 28 | | 1 | 24 | | 2 | 6 | | 3 | 7 | | 4 | 20 | | 5 | 8 | | 6 | 29 | | 7 | 21 | | 8 | 24 | | 9 | 2 | | 10 | 3 | | 11 | 14 | | 12 | 15 | | 13 | 7 | | 14 | 4 | | 15 | 5 | | 16 | 5 | | 17 | 41 | | 18 | 6 | | 19 | 2 | | 20 | 4 | | 21 | 5 | | 22 | 3 | | 23 | 1 | | 24 | 17 | | 25 | 10 | | 26 | 4 | | 27 | 20 | | 28 | 7 | | 29 | 12 | | 30 | 3 | | 31 | 3 | | 32 | 5 | | 33 | 7 | | 34 | 14 | | 35 | 5 | | 36 | 6 | | 37 | 31 | | 38 | 18 | | 39 | 13 | | 40 | 3 | | 41 | 4 | | 42 | 3 | | 43 | 7 | | 44 | 13 | | 45 | 6 | | 46 | 16 | | 47 | 2 | | 48 | 2 | | 49 | 3 |
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| 50.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35 | | totalSentences | 100 | | uniqueOpeners | 35 | |
| 37.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 88 | | matches | | 0 | "Somewhere above her, in branches" |
| | ratio | 0.011 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 88 | | matches | | 0 | "She checked it anyway, thumb" | | 1 | "she muttered, and pocketed it" | | 2 | "She counted twice." | | 3 | "Her mouth went dry in" | | 4 | "she said, to hear a" | | 5 | "Hers came out thin." | | 6 | "She stepped between the stones." | | 7 | "Her own footsteps came back" | | 8 | "She told herself it was" | | 9 | "She knelt where Eva had" | | 10 | "She was supposed to wait." | | 11 | "She looked at the trees." | | 12 | "She turned her head and" | | 13 | "She didn't turn." | | 14 | "Her breath fogged." | | 15 | "It hadn't been cold a" | | 16 | "She tracked it by ear" | | 17 | "It was black." | | 18 | "she said to the grass" | | 19 | "Her voice didn't carry." |
| | ratio | 0.375 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 88 | | matches | | 0 | "The tube dropped Rory at" | | 1 | "She checked it anyway, thumb" | | 2 | "she muttered, and pocketed it" | | 3 | "The pendant at her throat" | | 4 | "Eva had told her to" | | 5 | "Eva had also told her" | | 6 | "Aurora Carter, Rory thought, and" | | 7 | "The grove sat where Eva" | | 8 | "She counted twice." | | 9 | "Her mouth went dry in" | | 10 | "she said, to hear a" | | 11 | "Hers came out thin." | | 12 | "She stepped between the stones." | | 13 | "The quiet hit her first." | | 14 | "Her own footsteps came back" | | 15 | "Wildflowers bloomed at her ankles." | | 16 | "Bluebells in October." | | 17 | "A thistle head the size" | | 18 | "She told herself it was" | | 19 | "She knelt where Eva had" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 7.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 7 | | matches | | 0 | "She checked it anyway, thumb swiping at nothing, the screen casting her face in that blue-dead light that made everyone look like a corpse." | | 1 | "Aurora Carter, Rory thought, and the warmth against her skin ticked a degree higher, as though the stone could hear her." | | 2 | "Not the absence of sound — Richmond Park was never truly silent, there were always deer shuffling, foxes coughing, the distant hush of the A316 — but a scrubbed…" | | 3 | "The soft crush of grass under something that had weight but took its time placing it." | | 4 | "She could feel the Heartstone now through the cotton of her shirt, a slow hot throb that matched nothing in her own chest." | | 5 | "There was a tug behind her sternum, a genuine want to do as it said, and she understood, with a clarity that made her cold all the way to her feet, that if she …" | | 6 | "Her crescent scar, on the bone of her left wrist, prickled as though she'd dipped it in snow." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, eyes shut," |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |