| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1728 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "precisely" | | 1 | "suddenly" | | 2 | "sharply" | | 3 | "truly" |
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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) | |
| 24.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1728 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "navigate" | | 1 | "furrowed" | | 2 | "could feel" | | 3 | "pulsed" | | 4 | "stark" | | 5 | "scanning" | | 6 | "warmth" | | 7 | "silence" | | 8 | "footsteps" | | 9 | "tracing" | | 10 | "echo" | | 11 | "shimmered" | | 12 | "stomach" | | 13 | "lurch" | | 14 | "familiar" | | 15 | "pulse" | | 16 | "synchronized" | | 17 | "weight" |
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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 | 185 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 185 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 186 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1728 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1726 | | uniqueNames | 12 | | maxNameDensity | 0.46 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Thump" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Isabella | 1 | | Plantation | 1 | | Sunday | 1 | | England | 1 | | October | 2 | | Heartstone | 5 | | London | 2 | | Aurora | 8 | | Thump | 5 | | Three | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Isabella" | | 3 | "Plantation" | | 4 | "England" | | 5 | "October" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 77.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like iron and rot" | | 1 | "seemed deliberate" | | 2 | "seemed obscenely loud" |
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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 | 1728 | | matches | (empty) | |
| 94.98% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 186 | | matches | | 0 | "knew that the" | | 1 | "noticed that the" | | 2 | "watched that point" | | 3 | "see that some" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 31.42 | | std | 25.79 | | cv | 0.821 | | sampleLengths | | 0 | 7 | | 1 | 50 | | 2 | 5 | | 3 | 86 | | 4 | 88 | | 5 | 64 | | 6 | 94 | | 7 | 3 | | 8 | 75 | | 9 | 26 | | 10 | 4 | | 11 | 46 | | 12 | 6 | | 13 | 43 | | 14 | 70 | | 15 | 5 | | 16 | 53 | | 17 | 2 | | 18 | 46 | | 19 | 28 | | 20 | 3 | | 21 | 47 | | 22 | 31 | | 23 | 3 | | 24 | 68 | | 25 | 3 | | 26 | 42 | | 27 | 45 | | 28 | 58 | | 29 | 4 | | 30 | 34 | | 31 | 5 | | 32 | 42 | | 33 | 47 | | 34 | 4 | | 35 | 61 | | 36 | 52 | | 37 | 17 | | 38 | 3 | | 39 | 41 | | 40 | 1 | | 41 | 52 | | 42 | 30 | | 43 | 4 | | 44 | 36 | | 45 | 15 | | 46 | 31 | | 47 | 7 | | 48 | 1 | | 49 | 37 |
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| 99.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 185 | | matches | | 0 | "being drawn" | | 1 | "been carved" | | 2 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 283 | | matches | | 0 | "was watching" | | 1 | "were shifting" | | 2 | "wasn't approaching" | | 3 | "was assembling" | | 4 | "was thickening" | | 5 | "was forming" | | 6 | "was examining" | | 7 | "wasn't just warming" | | 8 | "was answering" | | 9 | "were turning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 186 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1731 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.0317735413056037 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.009820912767186597 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 186 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 186 | | mean | 9.29 | | std | 7.61 | | cv | 0.819 | | sampleLengths | | 0 | 7 | | 1 | 35 | | 2 | 4 | | 3 | 11 | | 4 | 5 | | 5 | 4 | | 6 | 10 | | 7 | 13 | | 8 | 5 | | 9 | 21 | | 10 | 17 | | 11 | 11 | | 12 | 5 | | 13 | 8 | | 14 | 6 | | 15 | 31 | | 16 | 7 | | 17 | 11 | | 18 | 25 | | 19 | 7 | | 20 | 19 | | 21 | 1 | | 22 | 1 | | 23 | 1 | | 24 | 35 | | 25 | 4 | | 26 | 4 | | 27 | 21 | | 28 | 19 | | 29 | 24 | | 30 | 2 | | 31 | 2 | | 32 | 18 | | 33 | 3 | | 34 | 5 | | 35 | 15 | | 36 | 7 | | 37 | 15 | | 38 | 9 | | 39 | 2 | | 40 | 2 | | 41 | 20 | | 42 | 4 | | 43 | 2 | | 44 | 6 | | 45 | 7 | | 46 | 7 | | 47 | 4 | | 48 | 14 | | 49 | 10 |
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| 34.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.27956989247311825 | | totalSentences | 186 | | uniqueOpeners | 52 | |
| 63.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 158 | | matches | | 0 | "Then she heard the footsteps." | | 1 | "Too narrow at the waist." | | 2 | "Then it spoke." |
| | ratio | 0.019 | |
| 95.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 158 | | matches | | 0 | "She knew this park." | | 1 | "She knew its daylight geography," | | 2 | "She did not know this." | | 3 | "She knew that the way" | | 4 | "She might have called them" | | 5 | "She'd looked back three times" | | 6 | "She could feel it through" | | 7 | "She'd followed the pendant." | | 8 | "She could smell jasmine, honeysuckle," | | 9 | "Its craters visible in stark" | | 10 | "She'd entered the park at" | | 11 | "She'd been walking for nearly" | | 12 | "She turned sharply, scanning the" | | 13 | "She drew a slow breath" | | 14 | "It pulsed faster now." | | 15 | "She felt it before she" | | 16 | "She stood in a silence" | | 17 | "She tracked it by ear," | | 18 | "Her voice fell flat, swallowed" | | 19 | "Its surface was warm against" |
| | ratio | 0.31 | |
| 64.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 125 | | totalSentences | 158 | | matches | | 0 | "The standing stones rose from" | | 1 | "Aurora had passed through Richmond" | | 2 | "She knew this park." | | 3 | "She knew its daylight geography," | | 4 | "She did not know this." | | 5 | "The stones were old." | | 6 | "She knew that the way" | | 7 | "Something older than England itself." | | 8 | "She might have called them" | | 9 | "She'd looked back three times" | | 10 | "Lavender stems that curved in" | | 11 | "The pendant was warm against" | | 12 | "She could feel it through" | | 13 | "The deep crimson gemstone set" | | 14 | "She'd followed the pendant." | | 15 | "That was the reason." | | 16 | "The unknown benefactor who'd left" | | 17 | "The clearing opened before her." | | 18 | "Wildflowers carpeted the ground in" | | 19 | "She could smell jasmine, honeysuckle," |
| | ratio | 0.791 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 158 | | matches | (empty) | | ratio | 0 | |
| 32.19% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 11 | | matches | | 0 | "She'd looked back three times since passing between the first two stones, and each time the trail had been shorter, dimmer, more overgrown with wildflowers that…" | | 1 | "Three weeks of restless nights, of the Heartstone growing warmer against her chest, of dreams that tasted like iron and rot." | | 2 | "Three weeks of waking at 3 AM with the pendant's glow painting her ceiling the color of arterial blood." | | 3 | "The unknown benefactor who'd left it tucked inside an unmarked envelope on her doorstep had given her nothing but the stone and its chain." | | 4 | "Its craters visible in stark relief, as though it had drifted nearer to the earth while no one was watching." | | 5 | "The oaks there were massive, their canopies spreading overhead like a cathedral ceiling, their branches interlocking in ways that seemed deliberate." | | 6 | "Roots were shifting beneath the soil, coiling and uncoiling in slow waves that made the ground ripple like water." | | 7 | "Limbs that bent at angles that made her stomach lurch." | | 8 | "The shape reached out with a limb that bent in directions that limbs shouldn't bend, and its not-fingers brushed the surface of the Heartstone." | | 9 | "The clearing stretched empty around her, carpeted in wildflowers that bloomed in impossible colors." | | 10 | "She simply found herself standing on the pavement outside Richmond Park's gates, her chest aching, her fingers white-knuckled around the pendant's silver chain." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |