| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "He looked away [away]" | | 1 | "He hesitated then [then]" |
| | dialogueSentences | 46 | | tagDensity | 0.457 | | leniency | 0.913 | | rawRatio | 0.095 | | effectiveRatio | 0.087 | |
| 80.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1028 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "lightly" | | 2 | "very" |
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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) | |
| 22.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1028 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "carried the weight" | | count | 1 |
| | 14 | | | 15 | |
| | highlights | | 0 | "familiar" | | 1 | "echoing" | | 2 | "could feel" | | 3 | "whisper" | | 4 | "etched" | | 5 | "electric" | | 6 | "raced" | | 7 | "reminder" | | 8 | "flickered" | | 9 | "palpable" | | 10 | "unspoken" | | 11 | "affection" | | 12 | "resolve" | | 13 | "carried the weight" | | 14 | "amidst" | | 15 | "comforting" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1028 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 675 | | uniqueNames | 12 | | maxNameDensity | 1.33 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Silas | 6 | | Blackwood | 1 | | Puzzled | 1 | | Aurora | 9 | | Evan | 9 | | Shock | 1 | | Relief | 1 | | Later | 1 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Aurora" | | 5 | "Evan" | | 6 | "Shock" | | 7 | "Relief" |
| | places | | | globalScore | 0.833 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1028 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 23.36 | | std | 15.68 | | cv | 0.671 | | sampleLengths | | 0 | 91 | | 1 | 11 | | 2 | 35 | | 3 | 57 | | 4 | 9 | | 5 | 19 | | 6 | 32 | | 7 | 10 | | 8 | 20 | | 9 | 23 | | 10 | 26 | | 11 | 21 | | 12 | 12 | | 13 | 16 | | 14 | 38 | | 15 | 19 | | 16 | 37 | | 17 | 14 | | 18 | 13 | | 19 | 32 | | 20 | 7 | | 21 | 27 | | 22 | 11 | | 23 | 7 | | 24 | 15 | | 25 | 18 | | 26 | 24 | | 27 | 29 | | 28 | 46 | | 29 | 22 | | 30 | 15 | | 31 | 12 | | 32 | 18 | | 33 | 22 | | 34 | 39 | | 35 | 13 | | 36 | 23 | | 37 | 18 | | 38 | 9 | | 39 | 37 | | 40 | 8 | | 41 | 9 | | 42 | 16 | | 43 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 130 | | matches | | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 92 | | ratio | 0.043 | | matches | | 0 | "She caught a glimpse of herself in the mirror behind the liquor display — shoulder-length black hair slightly mussed from the light rain outside, bright blue eyes reflecting the muted lighting of The Raven's Nest." | | 1 | "He looked different — older, with a bit of stubble on his chin and the weariness of the world etched into his face." | | 2 | "Briefly, she caught a glimpse of the past — the late-night conversations, the laughter, the dreams they’d once shared before everything crumbled." | | 3 | "Yet, amidst the pain, there was a spark of something else — perhaps hope, or a chance for closure." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 345 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.020289855072463767 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005797101449275362 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.17 | | std | 7.07 | | cv | 0.633 | | sampleLengths | | 0 | 22 | | 1 | 35 | | 2 | 23 | | 3 | 11 | | 4 | 8 | | 5 | 3 | | 6 | 16 | | 7 | 15 | | 8 | 4 | | 9 | 26 | | 10 | 15 | | 11 | 16 | | 12 | 7 | | 13 | 2 | | 14 | 8 | | 15 | 11 | | 16 | 23 | | 17 | 9 | | 18 | 10 | | 19 | 4 | | 20 | 16 | | 21 | 14 | | 22 | 9 | | 23 | 19 | | 24 | 7 | | 25 | 10 | | 26 | 11 | | 27 | 7 | | 28 | 5 | | 29 | 3 | | 30 | 13 | | 31 | 10 | | 32 | 23 | | 33 | 5 | | 34 | 7 | | 35 | 12 | | 36 | 8 | | 37 | 29 | | 38 | 6 | | 39 | 8 | | 40 | 13 | | 41 | 14 | | 42 | 7 | | 43 | 11 | | 44 | 3 | | 45 | 4 | | 46 | 27 | | 47 | 10 | | 48 | 1 | | 49 | 7 |
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| 86.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.532608695652174 | | totalSentences | 92 | | uniqueOpeners | 49 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Briefly, she caught a glimpse" |
| | ratio | 0.016 | |
| 45.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 62 | | matches | | 0 | "She caught a glimpse of" | | 1 | "Her shift had ended an" | | 2 | "She rapped her knuckles lightly" | | 3 | "He motioned with his head" | | 4 | "She could feel the heavy," | | 5 | "She froze, staring at the" | | 6 | "she managed, the name both" | | 7 | "He looked different — older," | | 8 | "he offered, gesturing to the" | | 9 | "Her mind raced, trying to" | | 10 | "she said, attempting nonchalance as" | | 11 | "Her scar itched, a phantom" | | 12 | "he replied, the shadow of" | | 13 | "She bristled at his tone" | | 14 | "His eyes flickered down briefly," | | 15 | "He looked away, then met" | | 16 | "He sighed, running a hand" | | 17 | "She turned to glance at" | | 18 | "He gave a slight nod," | | 19 | "He hesitated, then whispered," |
| | ratio | 0.435 | |
| 72.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 62 | | matches | | 0 | "Aurora Carter slid onto the" | | 1 | "She caught a glimpse of" | | 2 | "Her shift had ended an" | | 3 | "She rapped her knuckles lightly" | | 4 | "He motioned with his head" | | 5 | "She could feel the heavy," | | 6 | "the voice said, deep and" | | 7 | "She froze, staring at the" | | 8 | "she managed, the name both" | | 9 | "He looked different — older," | | 10 | "he offered, gesturing to the" | | 11 | "Her mind raced, trying to" | | 12 | "she said, attempting nonchalance as" | | 13 | "Her scar itched, a phantom" | | 14 | "he replied, the shadow of" | | 15 | "She bristled at his tone" | | 16 | "His eyes flickered down briefly," | | 17 | "Evan leaned back, drumming his" | | 18 | "He looked away, then met" | | 19 | "Aurora clenched her fists under" |
| | ratio | 0.774 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 62 | | matches | | 0 | "As if on cue, Silas" | | 1 | "Yet, amidst the pain, there" |
| | ratio | 0.032 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "She turned to glance at Silas, who stood silent behind the bar, polishing glasses." | | 1 | "As if on cue, Silas limped over, his silver signet ring catching the light." |
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| 29.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 4 | | matches | | 0 | "he replied, the shadow of an old smirk appearing on his lips" | | 1 | "she said, her resolve firming" | | 2 | "she warned, eyes narrowing" | | 3 | "Silas noted, his eyes keen" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "she interrupted (interrupt)" | | 1 | "his hands he pleaded (plead)" | | 2 | "she muttered (mutter)" | | 3 | "she warned (warn)" | | 4 | "Silas noted (note)" | | 5 | "Aurora admitted (admit)" |
| | dialogueSentences | 46 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.5 | | effectiveRatio | 0.261 | |