| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas said carefully [carefully]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 34 | | tagDensity | 0.324 | | leniency | 0.647 | | rawRatio | 0.182 | | effectiveRatio | 0.118 | |
| 72.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 908 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "softly" | | 4 | "really" |
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| 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) | |
| 39.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 908 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "practiced ease" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "reminder" | | 1 | "scanning" | | 2 | "weight" | | 3 | "practiced ease" | | 4 | "eyebrow" | | 5 | "scanned" | | 6 | "flickered" | | 7 | "tension" | | 8 | "shimmered" | | 9 | "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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 902 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 683 | | uniqueNames | 7 | | maxNameDensity | 1.9 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Aurora | 12 | | Carter | 1 | | Silas | 13 | | Evan | 9 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.548 | | windowScore | 0.5 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 902 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 17.02 | | std | 14 | | cv | 0.823 | | sampleLengths | | 0 | 72 | | 1 | 57 | | 2 | 16 | | 3 | 53 | | 4 | 26 | | 5 | 24 | | 6 | 7 | | 7 | 13 | | 8 | 21 | | 9 | 6 | | 10 | 12 | | 11 | 3 | | 12 | 43 | | 13 | 19 | | 14 | 18 | | 15 | 14 | | 16 | 12 | | 17 | 29 | | 18 | 5 | | 19 | 22 | | 20 | 17 | | 21 | 9 | | 22 | 10 | | 23 | 13 | | 24 | 24 | | 25 | 5 | | 26 | 31 | | 27 | 8 | | 28 | 20 | | 29 | 6 | | 30 | 8 | | 31 | 6 | | 32 | 14 | | 33 | 12 | | 34 | 7 | | 35 | 9 | | 36 | 8 | | 37 | 6 | | 38 | 29 | | 39 | 22 | | 40 | 7 | | 41 | 32 | | 42 | 13 | | 43 | 3 | | 44 | 21 | | 45 | 4 | | 46 | 17 | | 47 | 15 | | 48 | 4 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 80 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 102 | | ratio | 0.059 | | matches | | 0 | "A few regulars murmured in hushed tones over drinks; the clink of glasses punctuated the rhythm of the room." | | 1 | "His silver signet ring caught the dim light once, catching his eye—always a reminder." | | 2 | "There was something in her expression now—something sharper than just weariness." | | 3 | "He looked worse for wear—his clothes too tight, his skin pale, dark circles rimming his dull eyes." | | 4 | "When his eyes landed on Aurora, something flickered in them—anger?" | | 5 | "He looked at her—really looked—at the woman he once knew but no longer recognized." |
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| 79.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 690 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.06086956521739131 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.02318840579710145 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 8.84 | | std | 5.77 | | cv | 0.653 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 12 | | 3 | 14 | | 4 | 14 | | 5 | 24 | | 6 | 16 | | 7 | 17 | | 8 | 6 | | 9 | 10 | | 10 | 6 | | 11 | 22 | | 12 | 25 | | 13 | 15 | | 14 | 11 | | 15 | 10 | | 16 | 9 | | 17 | 5 | | 18 | 4 | | 19 | 3 | | 20 | 2 | | 21 | 11 | | 22 | 5 | | 23 | 16 | | 24 | 6 | | 25 | 12 | | 26 | 3 | | 27 | 17 | | 28 | 15 | | 29 | 10 | | 30 | 1 | | 31 | 9 | | 32 | 8 | | 33 | 2 | | 34 | 3 | | 35 | 15 | | 36 | 7 | | 37 | 7 | | 38 | 9 | | 39 | 3 | | 40 | 12 | | 41 | 5 | | 42 | 4 | | 43 | 8 | | 44 | 5 | | 45 | 6 | | 46 | 16 | | 47 | 17 | | 48 | 5 | | 49 | 4 |
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| 66.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4019607843137255 | | totalSentences | 102 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Then someone walked through the" | | 1 | "Finally, he spoke." | | 2 | "Instead, he left five pounds" |
| | ratio | 0.042 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 72 | | matches | | 0 | "His silver signet ring caught" | | 1 | "She moved like she belonged" | | 2 | "Her eyes were sharp, bright" | | 3 | "She walked toward the bar" | | 4 | "he said without looking up" | | 5 | "Her smile didn’t reach her" | | 6 | "She ordered a whiskey, neat," | | 7 | "It wasn’t unusual for them" | | 8 | "He watched her sip from" | | 9 | "He shifted, rolling the pain" | | 10 | "She raised an eyebrow." | | 11 | "She didn’t answer right away." | | 12 | "It was Evan." | | 13 | "He looked worse for wear—his" | | 14 | "He hesitated in the doorway" | | 15 | "She took a long drink" | | 16 | "He merely watched as Evan" | | 17 | "he said, voice hoarse, almost" | | 18 | "She set the glass down" | | 19 | "He glanced at Silas." |
| | ratio | 0.375 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 72 | | matches | | 0 | "The Raven’s Nest was quiet," | | 1 | "Silas stood behind the bar," | | 2 | "His silver signet ring caught" | | 3 | "The front door slid open" | | 4 | "She moved like she belonged" | | 5 | "Her eyes were sharp, bright" | | 6 | "She walked toward the bar" | | 7 | "he said without looking up" | | 8 | "Her smile didn’t reach her" | | 9 | "She ordered a whiskey, neat," | | 10 | "It wasn’t unusual for them" | | 11 | "He watched her sip from" | | 12 | "Silas leaned on the counter," | | 13 | "He shifted, rolling the pain" | | 14 | "She raised an eyebrow." | | 15 | "She didn’t answer right away." | | 16 | "Silas turned, expecting another customer," | | 17 | "It was Evan." | | 18 | "He looked worse for wear—his" | | 19 | "He hesitated in the doorway" |
| | ratio | 0.778 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "He merely watched as Evan approached the bar, moving as if pulled by invisible strings." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Evan said, though the lie rang thin even in his own voice" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 34 | | tagDensity | 0.324 | | leniency | 0.647 | | rawRatio | 0.091 | | effectiveRatio | 0.059 | |