| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1070 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 43.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1070 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "standard" | | 1 | "silence" | | 2 | "predator" | | 3 | "pulsed" | | 4 | "rhythmic" | | 5 | "gloom" | | 6 | "scanning" | | 7 | "perfect" | | 8 | "gleaming" | | 9 | "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 | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 36 | | totalWords | 1060 | | ratio | 0.034 | | matches | | 0 | "Don't open it. Don't shake it. Leave it at the markers and run." | | 1 | "Isolde's Grove" | | 2 | "Past the erratic boulder. Through the twin oaks. Do not leave the path." | | 3 | "Thump. Thump." | | 4 | "Movement." | | 5 | "Scritch-scratch-hee-hee." | | 6 | "Thump. Thump. Thump." | | 7 | "inside" |
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| 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 | 17 | | wordCount | 1027 | | uniqueNames | 15 | | maxNameDensity | 0.19 | | worstName | "Heartstone" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Heartstone" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Standard | 1 | | Golden | 1 | | Empress | 1 | | London | 1 | | Heartstone | 2 | | Camden | 1 | | Fae | 1 | | Grove | 2 | | November | 1 | | Velcro | 1 | | Nike | 1 | | Air | 1 | | Max | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like carrying a fever" | | 1 | "sounded like breaking fingers in the quiet" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.943 | | wordCount | 1060 | | matches | | 0 | "Not the silence of emptiness, but the held-breath silence of a predator waiting for movement" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 18.6 | | std | 14.69 | | cv | 0.79 | | sampleLengths | | 0 | 48 | | 1 | 12 | | 2 | 47 | | 3 | 23 | | 4 | 34 | | 5 | 40 | | 6 | 17 | | 7 | 3 | | 8 | 57 | | 9 | 9 | | 10 | 31 | | 11 | 2 | | 12 | 5 | | 13 | 25 | | 14 | 40 | | 15 | 3 | | 16 | 35 | | 17 | 6 | | 18 | 51 | | 19 | 16 | | 20 | 25 | | 21 | 15 | | 22 | 5 | | 23 | 25 | | 24 | 24 | | 25 | 13 | | 26 | 36 | | 27 | 15 | | 28 | 6 | | 29 | 3 | | 30 | 23 | | 31 | 2 | | 32 | 31 | | 33 | 1 | | 34 | 5 | | 35 | 13 | | 36 | 9 | | 37 | 24 | | 38 | 1 | | 39 | 14 | | 40 | 3 | | 41 | 34 | | 42 | 9 | | 43 | 8 | | 44 | 30 | | 45 | 12 | | 46 | 8 | | 47 | 38 | | 48 | 10 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 125 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 76.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 130 | | ratio | 0.023 | | matches | | 0 | "Wildflowers bloomed in the mulch—foxgloves, monkshood, and pale white lilies that glowed with their own sickly luminescence." | | 1 | "Not with the wind—there was no wind—but with intent." | | 2 | "It was a trainers—a Nike Air Max, white, fairly new." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1036 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.033783783783783786 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.017374517374517374 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 8.15 | | std | 6.19 | | cv | 0.759 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 18 | | 3 | 9 | | 4 | 3 | | 5 | 10 | | 6 | 10 | | 7 | 3 | | 8 | 24 | | 9 | 4 | | 10 | 2 | | 11 | 17 | | 12 | 7 | | 13 | 21 | | 14 | 6 | | 15 | 9 | | 16 | 16 | | 17 | 15 | | 18 | 8 | | 19 | 4 | | 20 | 5 | | 21 | 3 | | 22 | 16 | | 23 | 26 | | 24 | 15 | | 25 | 9 | | 26 | 9 | | 27 | 4 | | 28 | 18 | | 29 | 1 | | 30 | 1 | | 31 | 3 | | 32 | 2 | | 33 | 12 | | 34 | 13 | | 35 | 3 | | 36 | 25 | | 37 | 12 | | 38 | 3 | | 39 | 6 | | 40 | 13 | | 41 | 2 | | 42 | 5 | | 43 | 9 | | 44 | 6 | | 45 | 7 | | 46 | 6 | | 47 | 14 | | 48 | 17 | | 49 | 4 |
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| 51.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35384615384615387 | | totalSentences | 130 | | uniqueOpeners | 46 | |
| 30.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 108 | | matches | | | ratio | 0.009 | |
| 64.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 108 | | matches | | 0 | "I landed in a crouch," | | 1 | "I muttered, brushing rot from" | | 2 | "I checked my mobile." | | 3 | "I adjusted the strap across" | | 4 | "It felt like carrying a" | | 5 | "I could see the ambient" | | 6 | "I started walking." | | 7 | "I fished the silver chain" | | 8 | "It hadn’t buzzed this hard" | | 9 | "I pushed forward." | | 10 | "I glanced at my watch." | | 11 | "They shouldn't be here." | | 12 | "It was November." | | 13 | "It masked a deeper undertone," | | 14 | "I reached the standing stones." | | 15 | "My chest burned." | | 16 | "I stepped between the stones." | | 17 | "I stopped, scanning the clearing." | | 18 | "It was a perfect circle" | | 19 | "My voice didn't carry." |
| | ratio | 0.389 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 108 | | matches | | 0 | "The corrugated iron top of" | | 1 | "I landed in a crouch," | | 2 | "A jagged breath escaped my" | | 3 | "I muttered, brushing rot from" | | 4 | "The insulated delivery bag on" | | 5 | "Yu-Fei had been specific about" | | 6 | "I checked my mobile." | | 7 | "The little bars in the" | | 8 | "I adjusted the strap across" | | 9 | "The takeaway bag felt warm," | | 10 | "It felt like carrying a" | | 11 | "I could see the ambient" | | 12 | "The instructions were clear: *Past" | | 13 | "I started walking." | | 14 | "This part of the park" | | 15 | "A sharp sting against my" | | 16 | "I fished the silver chain" | | 17 | "The Heartstone pendant pulsed." | | 18 | "The deep crimson gem, usually" | | 19 | "The pendant only woke up" |
| | ratio | 0.806 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 108 | | matches | | 0 | "To my left, the mundane" | | 1 | "To my right, the darkness" | | 2 | "To the left." |
| | ratio | 0.028 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "A jagged breath escaped my lips, forming a white plume that lingered too long in the stagnant air." | | 1 | "The takeaway bag felt warm, unnaturally so, radiating a heat that had nothing to do with twice-fried pork or steamed dumplings." | | 2 | "The path narrowed, the manicured gravel of the public park giving way to a trail of packed dirt that smelled of ozone and crushed lavender." | | 3 | "Wildflowers bloomed in the mulch—foxgloves, monkshood, and pale white lilies that glowed with their own sickly luminescence." | | 4 | "The darkness inside the bag spilled out, darker than the night, pooling onto the grass and rising, forming a shape that had too many limbs and no face." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" | | 2 | "I whispered (whisper)" |
| | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.6 | | effectiveRatio | 0.5 | |