| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.167 | | effectiveRatio | 0.133 | |
| 88.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1301 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "gently" | | 2 | "suddenly" |
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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) | |
| 0.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1301 | | totalAiIsms | 26 | | found | | | highlights | | 0 | "whisper" | | 1 | "silence" | | 2 | "perfect" | | 3 | "stomach" | | 4 | "warmth" | | 5 | "almost alive" | | 6 | "flickered" | | 7 | "absolutely" | | 8 | "echoed" | | 9 | "weight" | | 10 | "pulse" | | 11 | "racing" | | 12 | "resolved" | | 13 | "footsteps" | | 14 | "familiar" | | 15 | "mechanical" |
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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 | 138 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 138 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 12 | | totalWords | 1297 | | ratio | 0.009 | | matches | | 0 | "What you're looking for is in Isolde's grove. Come alone. Come tonight." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1240 | | uniqueNames | 12 | | maxNameDensity | 0.73 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Richmond | 2 | | Park | 2 | | Heartstone | 2 | | November | 1 | | Isolde | 1 | | Stupid | 1 | | Golden | 1 | | Empress | 1 | | British | 1 | | Silas | 1 | | English | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Empress" | | 3 | "British" | | 4 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Isolde" | | 3 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 2 | | matches | | 0 | "symbols that seemed to shift when she wasn't looking directly at them" | | 1 | "looked like an exit, marked by two famili" |
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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 | 1297 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 24.94 | | std | 15.73 | | cv | 0.631 | | sampleLengths | | 0 | 44 | | 1 | 14 | | 2 | 47 | | 3 | 23 | | 4 | 46 | | 5 | 35 | | 6 | 9 | | 7 | 11 | | 8 | 35 | | 9 | 42 | | 10 | 23 | | 11 | 1 | | 12 | 27 | | 13 | 7 | | 14 | 24 | | 15 | 2 | | 16 | 20 | | 17 | 43 | | 18 | 47 | | 19 | 37 | | 20 | 36 | | 21 | 11 | | 22 | 7 | | 23 | 21 | | 24 | 19 | | 25 | 12 | | 26 | 20 | | 27 | 40 | | 28 | 16 | | 29 | 1 | | 30 | 8 | | 31 | 49 | | 32 | 14 | | 33 | 4 | | 34 | 48 | | 35 | 10 | | 36 | 48 | | 37 | 28 | | 38 | 2 | | 39 | 30 | | 40 | 41 | | 41 | 37 | | 42 | 9 | | 43 | 3 | | 44 | 54 | | 45 | 38 | | 46 | 35 | | 47 | 43 | | 48 | 32 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 71.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 208 | | matches | | 0 | "wasn't looking" | | 1 | "was trying" | | 2 | "were looking" | | 3 | "was taking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 147 | | ratio | 0 | | matches | (empty) | |
| 91.02% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1244 | | adjectiveStacks | 1 | | stackExamples | | 0 | "binding cool against her" |
| | adverbCount | 54 | | adverbRatio | 0.04340836012861737 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.01607717041800643 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 8.82 | | std | 6 | | cv | 0.68 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 14 | | 3 | 19 | | 4 | 11 | | 5 | 2 | | 6 | 15 | | 7 | 7 | | 8 | 2 | | 9 | 2 | | 10 | 8 | | 11 | 2 | | 12 | 2 | | 13 | 1 | | 14 | 1 | | 15 | 13 | | 16 | 22 | | 17 | 9 | | 18 | 17 | | 19 | 12 | | 20 | 6 | | 21 | 9 | | 22 | 4 | | 23 | 2 | | 24 | 5 | | 25 | 18 | | 26 | 15 | | 27 | 2 | | 28 | 5 | | 29 | 16 | | 30 | 21 | | 31 | 7 | | 32 | 14 | | 33 | 2 | | 34 | 1 | | 35 | 16 | | 36 | 1 | | 37 | 1 | | 38 | 9 | | 39 | 7 | | 40 | 5 | | 41 | 11 | | 42 | 4 | | 43 | 2 | | 44 | 2 | | 45 | 2 | | 46 | 11 | | 47 | 8 | | 48 | 1 | | 49 | 15 |
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| 74.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.5034013605442177 | | totalSentences | 147 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 115 | | matches | | 0 | "Absolutely wrong for any known" | | 1 | "Then, faint as breath, came" | | 2 | "Dark against the pale stone." | | 3 | "All keeping perfect time." | | 4 | "Properly alone, for the first" | | 5 | "All moving toward the park's" | | 6 | "All heading in the same" |
| | ratio | 0.061 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 115 | | matches | | 0 | "Her whisper died in the" | | 1 | "Her archaeology professor would've wet" | | 2 | "Her phone's torch beam flickered" | | 3 | "She backed deeper into the" | | 4 | "She reached for it, then" | | 5 | "Her voice sounded braver than" | | 6 | "She turned back to the" | | 7 | "It burned like a fresh" | | 8 | "She kept her voice steady" | | 9 | "She turned and ran." | | 10 | "She veered left without stopping." | | 11 | "She pressed forward, following the" | | 12 | "Its own watchers." | | 13 | "They turned in unison to" | | 14 | "She ran between them, book" | | 15 | "They simply watched as she" | | 16 | "Her phone's torch blazed to" | | 17 | "She was alone." |
| | ratio | 0.157 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 115 | | matches | | 0 | "The ancient oak's bark scraped" | | 1 | "The Heartstone pendant burned against" | | 2 | "Her whisper died in the" | | 3 | "The grove stretched before her," | | 4 | "Wildflowers bloomed between frost-kissed grass," | | 5 | "The air tasted of copper" | | 6 | "Everything her father had trained" | | 7 | "Whatever waited here had to" | | 8 | "The first stone bore carved" | | 9 | "Her archaeology professor would've wet" | | 10 | "The word escaped before she" | | 11 | "Something rustled in response." | | 12 | "The air hung perfectly still." | | 13 | "Rory stepped between the first" | | 14 | "The pendant's warmth intensified, spreading" | | 15 | "The grove's interior defied physics." | | 16 | "Paths wound between flowering bushes" | | 17 | "Her phone's torch beam flickered" | | 18 | "The screen remained black no" | | 19 | "The wildflowers provided their own" |
| | ratio | 0.687 | |
| 43.48% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 115 | | matches | | 0 | "*What you're looking for is" |
| | ratio | 0.009 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 6 | | matches | | 0 | "Celtic knots twisted into geometric patterns that belonged in no earthly language." | | 1 | "The pendant's warmth intensified, spreading down her ribs in a way that felt almost alive." | | 2 | "Paths wound between flowering bushes that grew in impossible spirals, their branches reaching toward stars that formed no constellations she recognised." | | 3 | "A stone altar sat at its centre, its surface carved with symbols that made her eyes water to look at directly." | | 4 | "The book bounced against her ribs with each step, its weight shifting strangely, as though something inside was trying to escape." | | 5 | "They turned in unison to face the path she was taking, forming a corridor of silent figures that stretched all the way to the grove's boundary." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |