| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1439 | | totalAiIsmAdverbs | 1 | | 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) | |
| 61.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1439 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "echo" | | 3 | "charged" | | 4 | "warmth" | | 5 | "throbbed" | | 6 | "vibrated" | | 7 | "whisper" |
| |
| 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 | 211 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 211 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 227 | | 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 | 1439 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1386 | | uniqueNames | 11 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Evan | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Rory | 14 | | One | 3 | | Tick | 4 | | Three | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Yu-Fei" | | 3 | "Rory" | | 4 | "One" |
| | places | | | globalScore | 0.995 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1439 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 227 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 16.54 | | std | 17.67 | | cv | 1.068 | | sampleLengths | | 0 | 46 | | 1 | 23 | | 2 | 55 | | 3 | 3 | | 4 | 8 | | 5 | 85 | | 6 | 19 | | 7 | 5 | | 8 | 69 | | 9 | 8 | | 10 | 1 | | 11 | 4 | | 12 | 3 | | 13 | 19 | | 14 | 5 | | 15 | 53 | | 16 | 9 | | 17 | 6 | | 18 | 20 | | 19 | 7 | | 20 | 34 | | 21 | 33 | | 22 | 2 | | 23 | 3 | | 24 | 48 | | 25 | 20 | | 26 | 2 | | 27 | 3 | | 28 | 9 | | 29 | 24 | | 30 | 28 | | 31 | 4 | | 32 | 58 | | 33 | 6 | | 34 | 2 | | 35 | 2 | | 36 | 33 | | 37 | 17 | | 38 | 17 | | 39 | 20 | | 40 | 25 | | 41 | 4 | | 42 | 8 | | 43 | 3 | | 44 | 38 | | 45 | 18 | | 46 | 12 | | 47 | 2 | | 48 | 4 | | 49 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 211 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 226 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 227 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 200 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.01 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 227 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 227 | | mean | 6.34 | | std | 4.74 | | cv | 0.749 | | sampleLengths | | 0 | 16 | | 1 | 10 | | 2 | 13 | | 3 | 7 | | 4 | 2 | | 5 | 2 | | 6 | 12 | | 7 | 7 | | 8 | 7 | | 9 | 21 | | 10 | 7 | | 11 | 9 | | 12 | 11 | | 13 | 3 | | 14 | 8 | | 15 | 10 | | 16 | 1 | | 17 | 4 | | 18 | 3 | | 19 | 2 | | 20 | 27 | | 21 | 8 | | 22 | 8 | | 23 | 4 | | 24 | 18 | | 25 | 9 | | 26 | 10 | | 27 | 5 | | 28 | 27 | | 29 | 18 | | 30 | 10 | | 31 | 14 | | 32 | 8 | | 33 | 1 | | 34 | 4 | | 35 | 3 | | 36 | 5 | | 37 | 8 | | 38 | 6 | | 39 | 5 | | 40 | 8 | | 41 | 11 | | 42 | 1 | | 43 | 3 | | 44 | 15 | | 45 | 15 | | 46 | 9 | | 47 | 3 | | 48 | 3 | | 49 | 7 |
| |
| 35.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 34 | | diversityRatio | 0.24669603524229075 | | totalSentences | 227 | | uniqueOpeners | 56 | |
| 59.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 167 | | matches | | 0 | "Then came the clatter of" | | 1 | "Then the soft thud of" | | 2 | "Then it read 23:56." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 167 | | matches | | 0 | "She slipped through the opening" | | 1 | "She touched the collar of" | | 2 | "She had spent an hour" | | 3 | "She had locked the flat" | | 4 | "She followed it until the" | | 5 | "Their petals looked wet and" | | 6 | "She lifted her phone." | | 7 | "She had charged it before" | | 8 | "She stepped into the grove." | | 9 | "She looked down." | | 10 | "Her throat tightened." | | 11 | "She knew that rhythm." | | 12 | "She heard it every shift" | | 13 | "She counted the stones as" | | 14 | "She reached the far side" | | 15 | "She counted again." | | 16 | "Its surface held a pale" | | 17 | "It leaned toward her." | | 18 | "Her heel caught a root," | | 19 | "She snatched her hand away." |
| | ratio | 0.281 | |
| 28.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 167 | | matches | | 0 | "Rory found the gap in" | | 1 | "The note in her fist" | | 2 | "She slipped through the opening" | | 3 | "The city stopped at the" | | 4 | "She touched the collar of" | | 5 | "The Heartstone rested against her" | | 6 | "The pendant had stayed cold" | | 7 | "The words dropped into the" | | 8 | "The note had given her" | | 9 | "The old boundary oaks." | | 10 | "She had spent an hour" | | 11 | "Evan would have laughed at" | | 12 | "Eva would have demanded she" | | 13 | "Rory had done neither." | | 14 | "She had locked the flat" | | 15 | "A path of crushed chalk" | | 16 | "She followed it until the" | | 17 | "The standing stones waited there." | | 18 | "Oak trees ringed them, their" | | 19 | "Wildflowers crowded the roots of" |
| | ratio | 0.862 | |
| 29.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 167 | | matches | | 0 | "Now it pulsed against her" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 1 | | matches | | 0 | "They rubbed together without wind, producing a dry whisper that formed syllables." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 1 | | effectiveRatio | 0.125 | |