| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1072 | | totalAiIsmAdverbs | 2 | | 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) | |
| 76.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1072 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulse" | | 1 | "echo" | | 2 | "familiar" | | 3 | "lurching" | | 4 | "silence" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 16 | | totalWords | 1072 | | ratio | 0.015 | | matches | | 0 | "find out why." | | 1 | "Get a grip, Rory." | | 2 | "Malphora." | | 3 | "knew" | | 4 | "You wear her name so well." | | 5 | "Shifted" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1038 | | uniqueNames | 8 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Silas | 1 | | Richmond | 1 | | Park | 1 | | God | 1 | | Rory | 8 | | Aurora | 1 | | Carter | 1 | | Isolde | 3 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Carter" | | 3 | "Isolde" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the wrong move, the move a ra" |
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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 | 1072 | | matches | (empty) | |
| 9.80% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 85 | | matches | | 0 | "said that name" | | 1 | "knew* that name" | | 2 | "knew that the" | | 3 | "clearing that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 33.5 | | std | 24.52 | | cv | 0.732 | | sampleLengths | | 0 | 12 | | 1 | 69 | | 2 | 61 | | 3 | 8 | | 4 | 72 | | 5 | 30 | | 6 | 4 | | 7 | 64 | | 8 | 31 | | 9 | 8 | | 10 | 58 | | 11 | 4 | | 12 | 85 | | 13 | 5 | | 14 | 40 | | 15 | 1 | | 16 | 33 | | 17 | 30 | | 18 | 1 | | 19 | 57 | | 20 | 6 | | 21 | 36 | | 22 | 55 | | 23 | 47 | | 24 | 26 | | 25 | 23 | | 26 | 6 | | 27 | 66 | | 28 | 27 | | 29 | 33 | | 30 | 60 | | 31 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 78.05% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 164 | | matches | | 0 | "wasn't looking" | | 1 | "was slowly pulling" | | 2 | "was speaking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 501 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03992015968063872 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003992015968063872 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 12.61 | | std | 10.33 | | cv | 0.819 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 1 | | 3 | 22 | | 4 | 35 | | 5 | 15 | | 6 | 3 | | 7 | 19 | | 8 | 10 | | 9 | 4 | | 10 | 10 | | 11 | 8 | | 12 | 19 | | 13 | 21 | | 14 | 5 | | 15 | 27 | | 16 | 30 | | 17 | 4 | | 18 | 7 | | 19 | 19 | | 20 | 11 | | 21 | 15 | | 22 | 12 | | 23 | 5 | | 24 | 26 | | 25 | 8 | | 26 | 2 | | 27 | 11 | | 28 | 45 | | 29 | 4 | | 30 | 21 | | 31 | 8 | | 32 | 17 | | 33 | 5 | | 34 | 14 | | 35 | 4 | | 36 | 5 | | 37 | 11 | | 38 | 5 | | 39 | 22 | | 40 | 1 | | 41 | 17 | | 42 | 1 | | 43 | 2 | | 44 | 4 | | 45 | 27 | | 46 | 30 | | 47 | 1 | | 48 | 2 | | 49 | 7 |
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| 71.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47058823529411764 | | totalSentences | 85 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 73 | | matches | | 0 | "Just a lid of dark" | | 1 | "Instead they glowed, faint as" | | 2 | "Just that smell, sitting under" | | 3 | "Of course nothing answered." | | 4 | "Then something did answer, and" | | 5 | "Then another, to her right." | | 6 | "Instead she walked backward, steady," |
| | ratio | 0.096 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 73 | | matches | | 0 | "She'd come because of that" | | 1 | "She stepped between the oldest" | | 2 | "She still stopped walking for" | | 3 | "she said to the pendant," | | 4 | "She clapped her hands, just" | | 5 | "She'd have sworn one of" | | 6 | "She kept moving, boots pressing" | | 7 | "She'd smelled that before too." | | 8 | "She spun so fast her" | | 9 | "She almost laughed at herself," | | 10 | "She backed towards the standing" | | 11 | "She knew that the way" | | 12 | "*You wear her name so" | | 13 | "She'd walked into this grove" | | 14 | "She didn't run." |
| | ratio | 0.205 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 73 | | matches | | 0 | "The pendant burned against her" | | 1 | "Rory pressed two fingers to" | | 2 | "She'd come because of that" | | 3 | "The standing stones waited at" | | 4 | "London's glow drowned most of" | | 5 | "She stepped between the oldest" | | 6 | "The wildflowers hit her first," | | 7 | "Rory had seen it before." | | 8 | "She still stopped walking for" | | 9 | "she said to the pendant," | | 10 | "That was wrong too." | | 11 | "She clapped her hands, just" | | 12 | "The sound came back flat," | | 13 | "The grove held its breath," | | 14 | "Rory made herself walk on." | | 15 | "The pendant's heat crawled up" | | 16 | "Something moved at the edge" | | 17 | "Nothing but the tree line," | | 18 | "She'd have sworn one of" | | 19 | "She kept moving, boots pressing" |
| | ratio | 0.685 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "She kept moving, boots pressing soft ground that gave like moss even though the flowers grew thick enough to be grass." | | 1 | "The kind of stillness that felt considered, like a held breath rather than an absence of movement." | | 2 | "The glow of the flowers seemed to dim at the edges, as if something had drawn a curtain around the light and was slowly pulling it tighter." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |