| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 170 | | tagDensity | 0.159 | | leniency | 0.318 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2352 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "very" | | 2 | "precisely" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 76.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2352 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "whisper" | | 3 | "vibrated" | | 4 | "fluttered" | | 5 | "coded" | | 6 | "warmth" | | 7 | "efficient" |
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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 | 170 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 170 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 313 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2350 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 37 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 110 | | wordCount | 1460 | | uniqueNames | 8 | | maxNameDensity | 2.95 | | worstName | "Rory" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Mae" | | discoveredNames | | Rory | 43 | | Silas | 6 | | Nest | 1 | | Maeve | 18 | | Cardiff | 1 | | Mae | 39 | | You | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Nest" | | 3 | "Maeve" | | 4 | "Mae" | | 5 | "You" |
| | places | | | globalScore | 0.027 | | windowScore | 0 | |
| 99.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "not quite a wave, not quite a promise" | | 2 | "not quite a promise" |
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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 | 2350 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 313 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 205 | | mean | 11.46 | | std | 14.53 | | cv | 1.267 | | sampleLengths | | 0 | 20 | | 1 | 55 | | 2 | 1 | | 3 | 26 | | 4 | 3 | | 5 | 51 | | 6 | 61 | | 7 | 5 | | 8 | 9 | | 9 | 5 | | 10 | 2 | | 11 | 3 | | 12 | 35 | | 13 | 3 | | 14 | 4 | | 15 | 5 | | 16 | 22 | | 17 | 3 | | 18 | 2 | | 19 | 4 | | 20 | 5 | | 21 | 19 | | 22 | 4 | | 23 | 2 | | 24 | 6 | | 25 | 18 | | 26 | 1 | | 27 | 4 | | 28 | 8 | | 29 | 9 | | 30 | 72 | | 31 | 8 | | 32 | 6 | | 33 | 3 | | 34 | 9 | | 35 | 8 | | 36 | 17 | | 37 | 9 | | 38 | 15 | | 39 | 42 | | 40 | 5 | | 41 | 3 | | 42 | 3 | | 43 | 2 | | 44 | 4 | | 45 | 2 | | 46 | 2 | | 47 | 7 | | 48 | 9 | | 49 | 4 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 170 | | matches | | 0 | "was cropped" | | 1 | "been lost" | | 2 | "been stacked" | | 3 | "been lost" | | 4 | "been decided" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 280 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 313 | | ratio | 0.006 | | matches | | 0 | "Rory felt the old response stir inside her—the wish to make Mae feel better, to rub the edge off the thing she’d said." | | 1 | "Rory raised her hand—not quite a wave, not quite a promise." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1465 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.03617747440273038 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008191126279863481 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 313 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 313 | | mean | 7.51 | | std | 6.47 | | cv | 0.862 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 33 | | 3 | 1 | | 4 | 12 | | 5 | 10 | | 6 | 4 | | 7 | 3 | | 8 | 10 | | 9 | 3 | | 10 | 27 | | 11 | 11 | | 12 | 12 | | 13 | 13 | | 14 | 13 | | 15 | 9 | | 16 | 14 | | 17 | 5 | | 18 | 3 | | 19 | 6 | | 20 | 5 | | 21 | 2 | | 22 | 3 | | 23 | 9 | | 24 | 21 | | 25 | 5 | | 26 | 3 | | 27 | 4 | | 28 | 5 | | 29 | 5 | | 30 | 11 | | 31 | 6 | | 32 | 3 | | 33 | 2 | | 34 | 4 | | 35 | 5 | | 36 | 4 | | 37 | 15 | | 38 | 4 | | 39 | 2 | | 40 | 6 | | 41 | 3 | | 42 | 9 | | 43 | 6 | | 44 | 1 | | 45 | 4 | | 46 | 8 | | 47 | 9 | | 48 | 6 | | 49 | 17 |
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| 44.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.25878594249201275 | | totalSentences | 313 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 11 | | totalSentences | 148 | | matches | | 0 | "Then the woman inside it" | | 1 | "At least, she had thought" | | 2 | "Finally Mae said," | | 3 | "Instead, she found herself wondering" | | 4 | "Then Mae’s phone vibrated on" | | 5 | "All right to see her." | | 6 | "All right in general." | | 7 | "All right after the years" | | 8 | "Instead she said," | | 9 | "Instead she watched Mae tuck" | | 10 | "Then the door swung shut" |
| | ratio | 0.074 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 148 | | matches | | 0 | "She had been reaching for" | | 1 | "Her fingers stayed there." | | 2 | "He said nothing." | | 3 | "Her hair had once been" | | 4 | "Her shoulders sat forward, as" | | 5 | "She glanced at the empty" | | 6 | "She smelled of rain and" | | 7 | "She had got it at" | | 8 | "She had wrapped Rory’s wrist" | | 9 | "Her expression shifted." | | 10 | "His limp was subtle, the" | | 11 | "He set a bowl of" | | 12 | "he said, and moved away" | | 13 | "She had not told Maeve" | | 14 | "She had told her enough." | | 15 | "They had known how to" | | 16 | "She stopped, searching for a" | | 17 | "It was a reflex, not" | | 18 | "She let it pass." | | 19 | "She turned away, or spoke" |
| | ratio | 0.203 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 148 | | matches | | 0 | "The bell over the door" | | 1 | "The woman froze beneath the" | | 2 | "She had been reaching for" | | 3 | "Her fingers stayed there." | | 4 | "Silas, polishing the far end" | | 5 | "He said nothing." | | 6 | "The Nest’s low murmur moved" | | 7 | "Maeve looked older in ways" | | 8 | "Her hair had once been" | | 9 | "A fine seam of a" | | 10 | "Her shoulders sat forward, as" | | 11 | "Rory set down the glass." | | 12 | "A laugh came out of" | | 13 | "She glanced at the empty" | | 14 | "Maeve slid onto the stool." | | 15 | "She smelled of rain and" | | 16 | "Rory reached for a clean" | | 17 | "Rory poured without asking." | | 18 | "Maeve watched the amber settle," | | 19 | "Maeve looked up." |
| | ratio | 0.851 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 148 | | matches | | 0 | "Now it was cropped close" | | 1 | "Now every pause seemed to" |
| | ratio | 0.014 | |
| 86.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 4 | | matches | | 0 | "Her shoulders sat forward, as if she expected a blow from somewhere behind her." | | 1 | "She glanced at the empty stools, choosing the one at the end of the bar as though proximity could be negotiated." | | 2 | "Rory thought of the years she didn’t want to count: the cramped Cardiff flat, the locked bathroom door, the soft apologies that arrived afterward like coins pla…" | | 3 | "Rory imagined Mae standing before a mirror with scissors in her hand, taking herself apart by inches." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, as if this had been decided some time ago" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 22 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 170 | | tagDensity | 0.129 | | leniency | 0.259 | | rawRatio | 0 | | effectiveRatio | 0 | |