| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2115 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 64.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2115 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "echo" | | 2 | "footsteps" | | 3 | "measured" | | 4 | "pulsed" | | 5 | "trembled" | | 6 | "stomach" | | 7 | "throbbed" | | 8 | "weight" | | 9 | "stark" | | 10 | "pulse" | | 11 | "charm" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 245 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 245 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 262 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2114 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 2056 | | uniqueNames | 12 | | maxNameDensity | 0.88 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Park | 3 | | London | 1 | | Heartstone | 3 | | Embankment | 1 | | Richmond | 3 | | Grove | 8 | | Evan | 2 | | Aurora | 18 | | Eva | 4 | | Empty | 3 | | Warm | 3 | | Flowers | 3 |
| | persons | | 0 | "Evan" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Flowers" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "Richmond" | | 3 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 129 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a live coal" | | 1 | "seemed smaller muffled by the clearing" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.473 | | wordCount | 2114 | | matches | | 0 | "not like bodies crossing ground but like darkness pooling uphill" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 262 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 117 | | mean | 18.07 | | std | 22.77 | | cv | 1.26 | | sampleLengths | | 0 | 27 | | 1 | 82 | | 2 | 29 | | 3 | 9 | | 4 | 98 | | 5 | 27 | | 6 | 7 | | 7 | 7 | | 8 | 20 | | 9 | 3 | | 10 | 36 | | 11 | 104 | | 12 | 26 | | 13 | 5 | | 14 | 25 | | 15 | 3 | | 16 | 9 | | 17 | 56 | | 18 | 4 | | 19 | 27 | | 20 | 1 | | 21 | 5 | | 22 | 4 | | 23 | 24 | | 24 | 13 | | 25 | 2 | | 26 | 5 | | 27 | 18 | | 28 | 4 | | 29 | 20 | | 30 | 29 | | 31 | 5 | | 32 | 11 | | 33 | 4 | | 34 | 61 | | 35 | 4 | | 36 | 37 | | 37 | 1 | | 38 | 10 | | 39 | 7 | | 40 | 121 | | 41 | 9 | | 42 | 4 | | 43 | 28 | | 44 | 5 | | 45 | 3 | | 46 | 6 | | 47 | 8 | | 48 | 15 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 245 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 311 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 4 | | flaggedSentences | 3 | | totalSentences | 262 | | ratio | 0.011 | | matches | | 0 | "Flowers of every season crowded the edges—foxgloves, poppies, bluebells, roses, things she could not name." | | 1 | "A strand of her black hair had stuck to her lower lip; she did not dare lift a hand to brush it away." | | 2 | "Shapes formed in them for half a blink at a time: a child’s hand, pale fingers hooked around a stone; antlers where no deer stood; a woman’s profile with a mouth too wide and no eyes; Evan’s shoulders in the coat he used to wear, then gone before the image settled." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2061 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 78 | | adverbRatio | 0.03784570596797671 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.003396409509946628 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 262 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 262 | | mean | 8.07 | | std | 7.31 | | cv | 0.906 | | sampleLengths | | 0 | 27 | | 1 | 36 | | 2 | 6 | | 3 | 6 | | 4 | 5 | | 5 | 8 | | 6 | 21 | | 7 | 11 | | 8 | 18 | | 9 | 3 | | 10 | 6 | | 11 | 24 | | 12 | 23 | | 13 | 14 | | 14 | 15 | | 15 | 13 | | 16 | 9 | | 17 | 14 | | 18 | 1 | | 19 | 4 | | 20 | 8 | | 21 | 7 | | 22 | 5 | | 23 | 2 | | 24 | 20 | | 25 | 3 | | 26 | 20 | | 27 | 6 | | 28 | 10 | | 29 | 32 | | 30 | 7 | | 31 | 22 | | 32 | 17 | | 33 | 17 | | 34 | 9 | | 35 | 11 | | 36 | 2 | | 37 | 13 | | 38 | 5 | | 39 | 6 | | 40 | 3 | | 41 | 16 | | 42 | 3 | | 43 | 9 | | 44 | 17 | | 45 | 13 | | 46 | 1 | | 47 | 9 | | 48 | 7 | | 49 | 9 |
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| 53.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3576923076923077 | | totalSentences | 260 | | uniqueOpeners | 93 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 194 | | matches | | 0 | "Then a gust moved through" | | 1 | "Then she put the phone" | | 2 | "Then she heard a second" | | 3 | "Of course not." | | 4 | "Even her own breath seemed" | | 5 | "Instead she saw only a" | | 6 | "Only the bark, ridged and" | | 7 | "Then the torch beam caught" | | 8 | "Then she heard breathing." | | 9 | "Just behind her right shoulder." |
| | ratio | 0.052 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 194 | | matches | | 0 | "She reached under her jumper" | | 1 | "It had gone quiet nowhere" | | 2 | "She knew one place in" | | 3 | "You better not be doing" | | 4 | "She stared at the screen," | | 5 | "She deleted that." | | 6 | "Her boots sank into damp" | | 7 | "She did not need a" | | 8 | "She had crossed into that" | | 9 | "She rubbed the scar on" | | 10 | "Her own voice came back" | | 11 | "She kept walking." | | 12 | "She had not reached the" | | 13 | "She turned at once." | | 14 | "She stayed still long enough" | | 15 | "She took three steps." | | 16 | "Her throat tightened." | | 17 | "She pulled the pendant free" | | 18 | "It only pulsed." | | 19 | "She left the path." |
| | ratio | 0.242 | |
| 55.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 157 | | totalSentences | 194 | | matches | | 0 | "Aurora cut the engine by" | | 1 | "Richmond Park lay beyond the" | | 2 | "The city still lived behind" | | 3 | "A siren dragged across the" | | 4 | "Tyres hissed on wet tarmac." | | 5 | "Someone laughed outside the last" | | 6 | "She reached under her jumper" | | 7 | "The crimson gem rested in" | | 8 | "The warmth had started during" | | 9 | "It had gone quiet nowhere" | | 10 | "She knew one place in" | | 11 | "The Grove sat there like" | | 12 | "Aurora slid off the scooter," | | 13 | "Eva had sent a message" | | 14 | "You better not be doing" | | 15 | "Aurora typed, Just checking something." | | 16 | "She stared at the screen," | | 17 | "She deleted that." | | 18 | "Her boots sank into damp" | | 19 | "The cold bit straight through" |
| | ratio | 0.809 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 194 | | matches | | 0 | "By the time she had" | | 1 | "If the pendant wanted anything," |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 77 | | technicalSentenceCount | 2 | | matches | | 0 | "Richmond Park lay beyond the iron bars in a black sweep of trees and heath, the sort of darkness that looked whole, without gaps, as if the night had been poure…" | | 1 | "The standing stones that marked the boundary of the Grove waited somewhere ahead, hidden behind a rise." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, though the words felt frail in the dead air" |
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| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.5 | | effectiveRatio | 0.19 | |