| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.033 | | leniency | 0.067 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2106 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2106 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "measured" | | 1 | "scanned" | | 2 | "weight" | | 3 | "silence" | | 4 | "traced" | | 5 | "tension" |
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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 | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 108 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2106 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1072 | | uniqueNames | 8 | | maxNameDensity | 1.96 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Carter | 1 | | Blackwood | 1 | | Eva | 18 | | Aurora | 21 | | Silas | 11 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Eva" | | 5 | "Aurora" | | 6 | "Silas" |
| | places | | | globalScore | 0.521 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | 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 | 2106 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 31.43 | | std | 23.71 | | cv | 0.754 | | sampleLengths | | 0 | 157 | | 1 | 33 | | 2 | 61 | | 3 | 1 | | 4 | 26 | | 5 | 1 | | 6 | 52 | | 7 | 29 | | 8 | 18 | | 9 | 26 | | 10 | 42 | | 11 | 40 | | 12 | 16 | | 13 | 31 | | 14 | 12 | | 15 | 40 | | 16 | 25 | | 17 | 38 | | 18 | 37 | | 19 | 11 | | 20 | 40 | | 21 | 10 | | 22 | 45 | | 23 | 17 | | 24 | 41 | | 25 | 7 | | 26 | 38 | | 27 | 10 | | 28 | 33 | | 29 | 64 | | 30 | 7 | | 31 | 44 | | 32 | 14 | | 33 | 37 | | 34 | 15 | | 35 | 35 | | 36 | 15 | | 37 | 40 | | 38 | 30 | | 39 | 6 | | 40 | 39 | | 41 | 6 | | 42 | 34 | | 43 | 64 | | 44 | 6 | | 45 | 41 | | 46 | 8 | | 47 | 37 | | 48 | 45 | | 49 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1078 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.026901669758812616 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0055658627087198514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 15.37 | | std | 12.14 | | cv | 0.79 | | sampleLengths | | 0 | 11 | | 1 | 16 | | 2 | 17 | | 3 | 6 | | 4 | 14 | | 5 | 9 | | 6 | 17 | | 7 | 14 | | 8 | 6 | | 9 | 14 | | 10 | 15 | | 11 | 18 | | 12 | 9 | | 13 | 8 | | 14 | 9 | | 15 | 7 | | 16 | 4 | | 17 | 10 | | 18 | 18 | | 19 | 18 | | 20 | 11 | | 21 | 1 | | 22 | 9 | | 23 | 7 | | 24 | 10 | | 25 | 1 | | 26 | 12 | | 27 | 11 | | 28 | 9 | | 29 | 11 | | 30 | 9 | | 31 | 29 | | 32 | 10 | | 33 | 8 | | 34 | 26 | | 35 | 10 | | 36 | 3 | | 37 | 13 | | 38 | 16 | | 39 | 40 | | 40 | 8 | | 41 | 8 | | 42 | 31 | | 43 | 4 | | 44 | 8 | | 45 | 40 | | 46 | 18 | | 47 | 7 | | 48 | 38 | | 49 | 7 |
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| 40.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.13138686131386862 | | totalSentences | 137 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 106 | | matches | | 0 | "Her straight shoulder-length black hair" | | 1 | "His grey-streaked auburn hair and" | | 2 | "His movements stayed measured despite" | | 3 | "Her coat fit tight across" | | 4 | "She scanned the room before" | | 5 | "She rotated the stool slowly" | | 6 | "She reached the stools but" | | 7 | "He waited with the cloth" | | 8 | "He filled it from the" | | 9 | "She held it near her" | | 10 | "He kept his attention on" | | 11 | "Her fingers stayed wrapped around" | | 12 | "Her expression stayed neutral, the" | | 13 | "He returned to the back" | | 14 | "Her bright blue eyes held" | | 15 | "He refilled both glasses without" | | 16 | "He stepped away once the" | | 17 | "They drank in silence after" | | 18 | "She followed the motion and" | | 19 | "They walked to a smaller" |
| | ratio | 0.208 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 106 | | matches | | 0 | "The Raven's Nest sat tucked" | | 1 | "Each image captured streets long" | | 2 | "Aurora Carter occupied the last" | | 3 | "Her straight shoulder-length black hair" | | 4 | "The small crescent scar on" | | 5 | "Silas Blackwood stood behind the" | | 6 | "His grey-streaked auburn hair and" | | 7 | "A slight limp marked his" | | 8 | "The silver signet ring on" | | 9 | "Aurora lifted her glass and" | | 10 | "The whiskey warmed her throat" | | 11 | "Silas wiped a section of" | | 12 | "His movements stayed measured despite" | | 13 | "The front door opened." | | 14 | "A woman stepped inside and" | | 15 | "The years had cut her" | | 16 | "Her coat fit tight across" | | 17 | "She scanned the room before" | | 18 | "Aurora set the glass down" | | 19 | "The word reached her across" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 1 | | matches | | 0 | "His grey-streaked auburn hair and matching beard framed a face that carried quiet authority." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.033 | | leniency | 0.067 | | rawRatio | 0 | | effectiveRatio | 0 | |