| 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 | |
| 77.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1121 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "completely" | | 1 | "slowly" | | 2 | "perfectly" |
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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) | |
| 73.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1121 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulse" | | 1 | "echoing" | | 2 | "methodical" | | 3 | "loomed" | | 4 | "racing" |
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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 | 105 | | matches | (empty) | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 105 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seem to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1112 | | ratio | 0.009 | | matches | | 0 | "Found something you need to see. Tonight. Don't bring anyone." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1072 | | uniqueNames | 10 | | maxNameDensity | 1.03 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 7 | | Richmond | 2 | | Park | 2 | | Rory | 11 | | Tube | 1 | | Southwark | 1 | | October | 1 | | London | 1 | | Panic | 2 | | Hel | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Southwark" | | 3 | "London" | | 4 | "Hel" |
| | globalScore | 0.987 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 5 | | matches | | 0 | "seemed weak barely penetrating a few feet ahead" | | 1 | "looked like a low stone altar, though the" | | 2 | "surfaces that seemed to have more texture than she remembered, patterns that might have been faces if you looked at them wrong" | | 3 | "flowers that seemed to lean away from the trail" | | 4 | "Not quite singing, not quite speech" | | 5 | "not quite speech" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.899 | | wordCount | 1112 | | matches | | 0 | "Not much of a weapon, but better than nothing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 29.26 | | std | 18.59 | | cv | 0.635 | | sampleLengths | | 0 | 71 | | 1 | 49 | | 2 | 36 | | 3 | 8 | | 4 | 52 | | 5 | 16 | | 6 | 18 | | 7 | 8 | | 8 | 65 | | 9 | 34 | | 10 | 50 | | 11 | 33 | | 12 | 15 | | 13 | 52 | | 14 | 29 | | 15 | 26 | | 16 | 51 | | 17 | 8 | | 18 | 39 | | 19 | 6 | | 20 | 9 | | 21 | 45 | | 22 | 6 | | 23 | 42 | | 24 | 40 | | 25 | 17 | | 26 | 5 | | 27 | 36 | | 28 | 20 | | 29 | 35 | | 30 | 11 | | 31 | 50 | | 32 | 42 | | 33 | 28 | | 34 | 42 | | 35 | 2 | | 36 | 2 | | 37 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 96.91% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 194 | | matches | | 0 | "was screaming" | | 1 | "was glowing" | | 2 | "was warning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 109 | | ratio | 0.064 | | matches | | 0 | "Rory checked her phone again—no signal, naturally—and pocketed it with a resigned sigh." | | 1 | "The air changed instantly—thicker, sweeter, with an underlying scent like honey left too long in the sun." | | 2 | "The city sounds—traffic, distant sirens, the ever-present hum of London—cut off as completely as if someone had closed a door." | | 3 | "If her friend was in trouble—" | | 4 | "The messages Eva had sent—the frantic summons, the coordinates—were dated three days from now." | | 5 | "She caught glimpses—something pale, something that might have been a hand but had too many joints, something that watched with eyes that reflected her light back in colors eyes shouldn't be." | | 6 | "The sounds of the city rushed back—beautiful, mundane, real." |
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| 88.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1085 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.053456221198156684 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.014746543778801843 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 10.2 | | std | 7.29 | | cv | 0.714 | | sampleLengths | | 0 | 32 | | 1 | 13 | | 2 | 26 | | 3 | 10 | | 4 | 6 | | 5 | 1 | | 6 | 9 | | 7 | 11 | | 8 | 12 | | 9 | 27 | | 10 | 9 | | 11 | 8 | | 12 | 17 | | 13 | 15 | | 14 | 20 | | 15 | 8 | | 16 | 8 | | 17 | 15 | | 18 | 3 | | 19 | 8 | | 20 | 9 | | 21 | 10 | | 22 | 23 | | 23 | 23 | | 24 | 22 | | 25 | 6 | | 26 | 6 | | 27 | 8 | | 28 | 9 | | 29 | 2 | | 30 | 2 | | 31 | 29 | | 32 | 15 | | 33 | 10 | | 34 | 8 | | 35 | 7 | | 36 | 2 | | 37 | 6 | | 38 | 12 | | 39 | 9 | | 40 | 13 | | 41 | 18 | | 42 | 16 | | 43 | 3 | | 44 | 4 | | 45 | 6 | | 46 | 6 | | 47 | 1 | | 48 | 1 | | 49 | 6 |
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| 48.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3486238532110092 | | totalSentences | 109 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 91 | | matches | | 0 | "Just the standing stones with" | | 1 | "Just back and forth, patient," | | 2 | "Just ordinary grass and ordinary" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 91 | | matches | | 0 | "She'd come because Eva had" | | 1 | "She stepped between two of" | | 2 | "Her voice sounded wrong here," | | 3 | "She pulled out her phone," | | 4 | "Her delivery experience had taught" | | 5 | "She walked deeper into the" | | 6 | "She reached up to adjust" | | 7 | "She followed the prints, phone" | | 8 | "They led toward the altar," | | 9 | "She kept her voice level," | | 10 | "It came from everywhere and" | | 11 | "They seemed to squirm when" | | 12 | "She reached for it, then" | | 13 | "She was certain of it." | | 14 | "They formed a tighter circle" | | 15 | "She caught glimpses—something pale, something" | | 16 | "It warned her." | | 17 | "It was warning her now." | | 18 | "she said to the darkness," | | 19 | "Her voice shook but held." |
| | ratio | 0.286 | |
| 86.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 91 | | matches | | 0 | "The standing stones appeared exactly" | | 1 | "Rory checked her phone again—no" | | 2 | "The oak stones rose from" | | 3 | "She'd come because Eva had" | | 4 | "Eva's messages were usually breezy," | | 5 | "This one had the clipped" | | 6 | "The pendant under Rory's shirt" | | 7 | "She stepped between two of" | | 8 | "The air changed instantly—thicker, sweeter," | | 9 | "Wildflowers carpeted the ground despite" | | 10 | "The city sounds—traffic, distant sirens," | | 11 | "Rory's breath misted in front" | | 12 | "Her voice sounded wrong here," | | 13 | "The flowers rustled though there" | | 14 | "She pulled out her phone," | | 15 | "The beam seemed weak, barely" | | 16 | "The grove was larger than" | | 17 | "Her delivery experience had taught" | | 18 | "Something moved at the periphery" | | 19 | "Rory spun, the phone's light" |
| | ratio | 0.747 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 91 | | matches | | 0 | "Now, standing before the grove," | | 1 | "If her friend was in" |
| | ratio | 0.022 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 6 | | matches | | 0 | "The oak stones rose from the earth like arthritic fingers, their bark-covered surfaces catching the moonlight in ways that made them seem to shift and breathe." | | 1 | "The city sounds—traffic, distant sirens, the ever-present hum of London—cut off as completely as if someone had closed a door." | | 2 | "The grove was larger than it had appeared from outside, the standing stones forming a wide circle that enclosed maybe half an acre." | | 3 | "Just the standing stones with their bark-rough surfaces that seemed to have more texture than she remembered, patterns that might have been faces if you looked …" | | 4 | "She walked deeper into the grove, feet crunching on things that weren't quite dead leaves." | | 5 | "She caught glimpses—something pale, something that might have been a hand but had too many joints, something that watched with eyes that reflected her light bac…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |