| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 84.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 956 | | totalAiIsmAdverbs | 3 | | found | | | 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) | |
| 16.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 956 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "flicker" | | 1 | "weight" | | 2 | "scanned" | | 3 | "footfall" | | 4 | "perfect" | | 5 | "echo" | | 6 | "quickened" | | 7 | "measured" | | 8 | "silence" | | 9 | "pulse" | | 10 | "warmth" | | 11 | "aligned" |
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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 | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 954 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.42% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 951 | | uniqueNames | 1 | | maxNameDensity | 1.05 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.974 | | windowScore | 1 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "as if bearing sudden weight though no bird or animal perched there" | | 1 | "appeared shorter than it had minutes earlier" |
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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 | 954 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 29.35% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 63.6 | | std | 16.07 | | cv | 0.253 | | sampleLengths | | 0 | 80 | | 1 | 71 | | 2 | 74 | | 3 | 68 | | 4 | 73 | | 5 | 68 | | 6 | 49 | | 7 | 63 | | 8 | 69 | | 9 | 67 | | 10 | 68 | | 11 | 59 | | 12 | 9 | | 13 | 69 | | 14 | 67 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 69.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 78 | | ratio | 0.026 | | matches | | 0 | "She had come here for the old stones—ancient things half-swallowed by moss, ringed by wildflowers that defied the season." | | 1 | "She waited three full breaths, then lifted the bag again, adjusting its position so the logo faced outward—the restaurant owner’s instruction." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 956 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03556485355648536 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011506276150627616 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.23 | | std | 5.69 | | cv | 0.465 | | sampleLengths | | 0 | 11 | | 1 | 9 | | 2 | 19 | | 3 | 23 | | 4 | 18 | | 5 | 11 | | 6 | 21 | | 7 | 14 | | 8 | 11 | | 9 | 14 | | 10 | 23 | | 11 | 13 | | 12 | 14 | | 13 | 15 | | 14 | 9 | | 15 | 8 | | 16 | 9 | | 17 | 2 | | 18 | 8 | | 19 | 21 | | 20 | 20 | | 21 | 9 | | 22 | 8 | | 23 | 14 | | 24 | 19 | | 25 | 10 | | 26 | 9 | | 27 | 4 | | 28 | 14 | | 29 | 14 | | 30 | 19 | | 31 | 8 | | 32 | 13 | | 33 | 5 | | 34 | 26 | | 35 | 10 | | 36 | 8 | | 37 | 10 | | 38 | 14 | | 39 | 2 | | 40 | 7 | | 41 | 10 | | 42 | 14 | | 43 | 6 | | 44 | 4 | | 45 | 18 | | 46 | 9 | | 47 | 16 | | 48 | 22 | | 49 | 9 |
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| 42.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.28205128205128205 | | totalSentences | 78 | | uniqueOpeners | 22 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Only the damp impression of" |
| | ratio | 0.014 | |
| 74.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 74 | | matches | | 0 | "She had come here for" | | 1 | "She carried only her satchel," | | 2 | "Their song resumed a beat" | | 3 | "It settled at seventy-eight percent," | | 4 | "She slid the device back" | | 5 | "She reached the first standing" | | 6 | "She pulled her hand away" | | 7 | "She waited three full breaths," | | 8 | "She straightened, and the drag" | | 9 | "Her scar itched beneath the" | | 10 | "She rubbed it through the" | | 11 | "It crumbled without sound." | | 12 | "She checked the phone again." | | 13 | "She closed the app and" | | 14 | "It matched her own weight" | | 15 | "She counted the stones aloud," | | 16 | "Her breath came shorter." | | 17 | "She circled back to the" | | 18 | "She quickened her pace but" | | 19 | "Its heat followed a rhythm" |
| | ratio | 0.365 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 74 | | matches | | 0 | "Rory stepped over the threshold" | | 1 | "Moonlight filtered through the canopy" | | 2 | "She had come here for" | | 3 | "The delivery note on her" | | 4 | "She carried only her satchel," | | 5 | "Crickets fell silent the moment" | | 6 | "Their song resumed a beat" | | 7 | "Rory paused, thumbed the screen" | | 8 | "It settled at seventy-eight percent," | | 9 | "She slid the device back" | | 10 | "The grass felt denser under" | | 11 | "Wildflowers brushed her shins, petals" | | 12 | "She reached the first standing" | | 13 | "The oak surface beneath her" | | 14 | "She pulled her hand away" | | 15 | "A soft drag sounded behind" | | 16 | "Rory turned, expecting a fox" | | 17 | "The clearing remained empty under" | | 18 | "She waited three full breaths," | | 19 | "She straightened, and the drag" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "She had come here for the old stones—ancient things half-swallowed by moss, ringed by wildflowers that defied the season." | | 1 | "The grass felt denser under her boots, each step pulling at the soles as though it had grown deeper since her last visit." | | 2 | "She straightened, and the drag repeated, this time closer, as though something had shifted position the instant she looked elsewhere." | | 3 | "One branch, low and thick, creaked once as if bearing sudden weight though no bird or animal perched there." | | 4 | "The reply came as the absence of answer, replaced by a soft exhalation that carried no scent of breath." |
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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 | |