| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1320 | | 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) | |
| 16.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1320 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "vibrated" | | 1 | "pulsed" | | 2 | "rhythmic" | | 3 | "loomed" | | 4 | "scanned" | | 5 | "silence" | | 6 | "weight" | | 7 | "shimmered" | | 8 | "pulse" | | 9 | "quickened" | | 10 | "searing" | | 11 | "perfect" | | 12 | "trembled" | | 13 | "warmth" | | 14 | "whisper" | | 15 | "down her spine" |
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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 | 151 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 151 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1310 | | ratio | 0 | | matches | (empty) | |
| 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 | 35 | | wordCount | 1291 | | uniqueNames | 12 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 2 | | Pendant | 2 | | Warm | 2 | | Grove | 6 | | November | 1 | | Tuesday | 1 | | Thursday | 1 | | Rory | 10 | | Eva | 3 | | Cold | 3 |
| | persons | | 0 | "Pendant" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Cold" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" | | 3 | "Tuesday" | | 4 | "Thursday" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a half-hour conversation with" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.763 | | wordCount | 1310 | | matches | | 0 | "Not the usual Richmond Park damp of grass and dew and distant city smog, but something earthier, greener, almost sweet" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 156 | | matches | | 0 | "learned that lesson" | | 1 | "was that satisfaction" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.26 | | std | 19.51 | | cv | 0.804 | | sampleLengths | | 0 | 39 | | 1 | 80 | | 2 | 10 | | 3 | 46 | | 4 | 54 | | 5 | 14 | | 6 | 69 | | 7 | 4 | | 8 | 13 | | 9 | 26 | | 10 | 46 | | 11 | 4 | | 12 | 46 | | 13 | 1 | | 14 | 12 | | 15 | 3 | | 16 | 17 | | 17 | 49 | | 18 | 3 | | 19 | 4 | | 20 | 53 | | 21 | 18 | | 22 | 53 | | 23 | 5 | | 24 | 38 | | 25 | 39 | | 26 | 14 | | 27 | 51 | | 28 | 4 | | 29 | 28 | | 30 | 9 | | 31 | 5 | | 32 | 37 | | 33 | 8 | | 34 | 37 | | 35 | 26 | | 36 | 2 | | 37 | 36 | | 38 | 52 | | 39 | 4 | | 40 | 29 | | 41 | 5 | | 42 | 42 | | 43 | 22 | | 44 | 25 | | 45 | 4 | | 46 | 6 | | 47 | 22 | | 48 | 21 | | 49 | 10 |
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| 95.97% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 151 | | matches | | 0 | "been closed" | | 1 | "was gone" | | 2 | "been carved" | | 3 | "were scraped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 213 | | matches | | 0 | "was glowing" | | 1 | "weren't glowing" | | 2 | "was chasing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 156 | | ratio | 0.071 | | matches | | 0 | "Not the usual Richmond Park damp of grass and dew and distant city smog, but something earthier, greener, almost sweet—like crushed ferns left to rot in a place that had never seen the sun." | | 1 | "The oak standing stones loomed at the clearing's perimeter, their bark gnarled into shapes that looked almost deliberate—twisted faces, grasping hands, mouths frozen mid-scream." | | 2 | "The rustle came again—soft, deliberate, the sound of something brushing against leaves." | | 3 | "The moss on the standing stones had receded, leaving raw grey bark that looked less like oak and more like granite—ancient, unmoving, waiting." | | 4 | "Just a standing stone, its carved face now more distinct—a screaming mouth, hollow eyes, a long nose that might have been a beak." | | 5 | "She turned and walked—didn't run, wouldn't run, because running meant something was chasing, and she refused to give whatever this place was that satisfaction." | | 6 | "The pendant pulsed once, twice, three times—then stopped." | | 7 | "So close she felt the breath on the back of her neck—cold, dry, smelling of earth and something metallic." | | 8 | "The standing stones had all taken the same shape now—screaming faces, closed eyes, long beaks." | | 9 | "It came from everywhere—from the stones, from the ground, from the air itself." | | 10 | "Face hidden in shadow, but eyes visible—two pinpricks of pale green light that glowed like foxfire in the dark." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 88 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.022727272727272728 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 8.4 | | std | 6.88 | | cv | 0.819 | | sampleLengths | | 0 | 5 | | 1 | 34 | | 2 | 18 | | 3 | 16 | | 4 | 12 | | 5 | 19 | | 6 | 15 | | 7 | 6 | | 8 | 2 | | 9 | 2 | | 10 | 21 | | 11 | 14 | | 12 | 8 | | 13 | 3 | | 14 | 24 | | 15 | 13 | | 16 | 17 | | 17 | 5 | | 18 | 9 | | 19 | 4 | | 20 | 1 | | 21 | 15 | | 22 | 10 | | 23 | 39 | | 24 | 4 | | 25 | 9 | | 26 | 4 | | 27 | 2 | | 28 | 2 | | 29 | 5 | | 30 | 12 | | 31 | 5 | | 32 | 21 | | 33 | 6 | | 34 | 1 | | 35 | 5 | | 36 | 13 | | 37 | 4 | | 38 | 2 | | 39 | 7 | | 40 | 9 | | 41 | 2 | | 42 | 8 | | 43 | 12 | | 44 | 2 | | 45 | 4 | | 46 | 1 | | 47 | 7 | | 48 | 5 | | 49 | 3 |
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| 35.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.27564102564102566 | | totalSentences | 156 | | uniqueOpeners | 43 | |
| 78.13% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 128 | | matches | | 0 | "Just the stones, the flowers," | | 1 | "Just a standing stone, its" | | 2 | "So close she felt the" |
| | ratio | 0.023 | |
| 85.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 128 | | matches | | 0 | "Her other hand pressed the" | | 1 | "It had been warm when" | | 2 | "She hadn't meant to come" | | 3 | "She scanned the clearing." | | 4 | "She'd learned that lesson the" | | 5 | "she whispered, her voice flat" | | 6 | "It answered presence, intention, the" | | 7 | "She crossed to the centre" | | 8 | "She pressed her palm against" | | 9 | "Her breath fogged in front" | | 10 | "Her voice cracked on the" | | 11 | "She swallowed and tried again." | | 12 | "It was glowing now, the" | | 13 | "She lifted the silver chain" | | 14 | "She looked up." | | 15 | "They had darkened, their petals" | | 16 | "She took a step back." | | 17 | "She snapped her head to" | | 18 | "She turned to the right." | | 19 | "They hadn't been closed before." |
| | ratio | 0.336 | |
| 42.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 128 | | matches | | 0 | "The night air smelled wrong." | | 1 | "Rory stopped at the edge" | | 2 | "Her other hand pressed the" | | 3 | "It had been warm when" | | 4 | "She hadn't meant to come" | | 5 | "Eva had told her to" | | 6 | "Eva had told her a" | | 7 | "Eva wasn't here." | | 8 | "The oak standing stones loomed" | | 9 | "Moonlight slid between the canopy" | | 10 | "The wildflowers at her feet" | | 11 | "Rory took a step forward." | | 12 | "The grass crackled under her" | | 13 | "She scanned the clearing." | | 14 | "An hour in here could" | | 15 | "She'd learned that lesson the" | | 16 | "The pendant kept pulsing." | | 17 | "she whispered, her voice flat" | | 18 | "The Grove didn't answer questions." | | 19 | "It answered presence, intention, the" |
| | ratio | 0.836 | |
| 39.06% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 128 | | matches | | 0 | "Now it vibrated against her" |
| | ratio | 0.008 | |
| 21.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 8 | | matches | | 0 | "Not the usual Richmond Park damp of grass and dew and distant city smog, but something earthier, greener, almost sweet—like crushed ferns left to rot in a place…" | | 1 | "But the pendant had pulsed harder after sundown, a rhythmic insistence that crawled up her neck and settled behind her eyes." | | 2 | "The oak standing stones loomed at the clearing's perimeter, their bark gnarled into shapes that looked almost deliberate—twisted faces, grasping hands, mouths f…" | | 3 | "She'd learned that lesson the hard way on her first visit, when what felt like a half-hour conversation with the grove's guardian left her blinking in a Richmon…" | | 4 | "She crossed to the centre stone, the largest, its surface slick with moss that shimmered under the moonlight like wet ink." | | 5 | "They had darkened, their petals curling inward, their stems wilting as if someone had turned off the light." | | 6 | "The moss on the standing stones had receded, leaving raw grey bark that looked less like oak and more like granite—ancient, unmoving, waiting." | | 7 | "Just a standing stone, its carved face now more distinct—a screaming mouth, hollow eyes, a long nose that might have been a beak." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, her voice flat against the silence" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |