| 37.84% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 37 | | adverbTagCount | 6 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said softly [softly]" | | 2 | "Evan asked suddenly [suddenly]" | | 3 | "she said finally [finally]" | | 4 | "he said softly [softly]" | | 5 | "she said honestly [honestly]" |
| | dialogueSentences | 74 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.162 | | effectiveRatio | 0.162 | |
| 65.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1171 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 3 |
| | 2 | | | 3 | |
| | highlights | | 0 | "softly" | | 1 | "barely above a whisper" | | 2 | "really" | | 3 | "suddenly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1171 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | word | "skipped a beat" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "familiar" | | 1 | "whisper" | | 2 | "skipped a beat" | | 3 | "warmth" | | 4 | "silence" | | 5 | "weight" | | 6 | "unspoken" | | 7 | "tracing" | | 8 | "tinged" | | 9 | "pounding" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "the weight of unspoken words" | | 1 | "a glimmer of hope" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 86 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1165 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 35 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 841 | | uniqueNames | 7 | | maxNameDensity | 1.07 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 2 | | Nest | 2 | | Blackwood | 1 | | Silas | 7 | | Aurora | 9 | | Evan | 3 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Aurora" | | 5 | "Evan" |
| | places | (empty) | | globalScore | 0.965 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "photographs that seemed to whisper stories of the past" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1165 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 19.42 | | std | 11.49 | | cv | 0.592 | | sampleLengths | | 0 | 62 | | 1 | 34 | | 2 | 12 | | 3 | 28 | | 4 | 21 | | 5 | 14 | | 6 | 25 | | 7 | 42 | | 8 | 8 | | 9 | 9 | | 10 | 13 | | 11 | 15 | | 12 | 18 | | 13 | 15 | | 14 | 30 | | 15 | 9 | | 16 | 47 | | 17 | 13 | | 18 | 12 | | 19 | 29 | | 20 | 6 | | 21 | 26 | | 22 | 18 | | 23 | 11 | | 24 | 7 | | 25 | 9 | | 26 | 15 | | 27 | 20 | | 28 | 37 | | 29 | 16 | | 30 | 14 | | 31 | 13 | | 32 | 27 | | 33 | 17 | | 34 | 21 | | 35 | 13 | | 36 | 9 | | 37 | 18 | | 38 | 20 | | 39 | 11 | | 40 | 16 | | 41 | 25 | | 42 | 14 | | 43 | 10 | | 44 | 9 | | 45 | 41 | | 46 | 24 | | 47 | 16 | | 48 | 16 | | 49 | 13 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 123 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 846 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 32 | | adverbRatio | 0.037825059101654845 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.016548463356973995 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 9.47 | | std | 4.77 | | cv | 0.504 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 18 | | 3 | 18 | | 4 | 16 | | 5 | 8 | | 6 | 4 | | 7 | 11 | | 8 | 14 | | 9 | 3 | | 10 | 11 | | 11 | 10 | | 12 | 10 | | 13 | 4 | | 14 | 8 | | 15 | 10 | | 16 | 7 | | 17 | 6 | | 18 | 11 | | 19 | 20 | | 20 | 5 | | 21 | 8 | | 22 | 6 | | 23 | 3 | | 24 | 6 | | 25 | 7 | | 26 | 5 | | 27 | 10 | | 28 | 13 | | 29 | 5 | | 30 | 6 | | 31 | 9 | | 32 | 16 | | 33 | 14 | | 34 | 9 | | 35 | 3 | | 36 | 16 | | 37 | 11 | | 38 | 17 | | 39 | 8 | | 40 | 5 | | 41 | 10 | | 42 | 2 | | 43 | 15 | | 44 | 14 | | 45 | 6 | | 46 | 17 | | 47 | 9 | | 48 | 11 | | 49 | 7 |
| |
| 53.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3333333333333333 | | totalSentences | 123 | | uniqueOpeners | 41 | |
| 41.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 80 | | matches | | 0 | "Maybe, just maybe, they could" |
| | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 80 | | matches | | 0 | "She took a deep breath," | | 1 | "He looked up, his hazel" | | 2 | "he greeted, his voice warm" | | 3 | "she replied, her lips curving" | | 4 | "She walked over to the" | | 5 | "he said with a chuckle," | | 6 | "she said, sliding onto a" | | 7 | "he said, sliding it over" | | 8 | "she said, taking a sip" | | 9 | "She glanced around the bar," | | 10 | "Her heart skipped a beat." | | 11 | "she began, her voice trailing" | | 12 | "She took another sip of" | | 13 | "she said, her voice barely" | | 14 | "He looked different." | | 15 | "His once-boyish face was now" | | 16 | "His hair, once a vibrant" | | 17 | "He wore a leather jacket" | | 18 | "he replied, his voice low" | | 19 | "she said, sliding into the" |
| | ratio | 0.713 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 80 | | matches | | 0 | "Aurora Carter pushed open the" | | 1 | "The bar was dimly lit," | | 2 | "She took a deep breath," | | 3 | "Silas Blackwood stood behind the" | | 4 | "He looked up, his hazel" | | 5 | "he greeted, his voice warm" | | 6 | "she replied, her lips curving" | | 7 | "She walked over to the" | | 8 | "he said with a chuckle," | | 9 | "she said, sliding onto a" | | 10 | "Silas nodded, pouring her a" | | 11 | "he said, sliding it over" | | 12 | "she said, taking a sip" | | 13 | "The liquid burned her throat," | | 14 | "She glanced around the bar," | | 15 | "Her heart skipped a beat." | | 16 | "she began, her voice trailing" | | 17 | "Silas followed her gaze and" | | 18 | "Aurora's grip tightened on her" | | 19 | "She took another sip of" |
| | ratio | 0.975 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "The bar was dimly lit, the walls adorned with old maps and black-and-white photographs that seemed to whisper stories of the past." | | 1 | "She glanced around the bar, her eyes landing on a figure sitting in the corner, partially hidden in the shadows." | | 2 | "He wore a leather jacket that had seen better days, and his hands were rough and calloused." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 37 | | uselessAdditionCount | 18 | | matches | | 0 | "he greeted, his voice warm and gravelly" | | 1 | "she replied, her lips curving into a smile" | | 2 | "she began, her voice trailing off" | | 3 | "she said, her voice barely above a whisper" | | 4 | "he replied, his voice low and gravelly" | | 5 | "she said, her fingers tracing the edge of her glass" | | 6 | "she replied, her eyes meeting his" | | 7 | "she asked, trying to steer the conversation to safer ground" | | 8 | "she said, her heart aching for the boy she once loved" | | 9 | "he asked, a hint of surprise in his voice" | | 10 | "he agreed, his eyes distant" | | 11 | "Evan asked suddenly, his voice barely above a whisper" | | 12 | "she asked, her heart pounding in her chest" | | 13 | "she said, her voice barely above a whisper" | | 14 | "Evan asked, his voice tentative" | | 15 | "she said, her lips curving into a smile" | | 16 | "Evan asked, his voice breaking the silence" | | 17 | "she said, her smile widening" |
| |
| 82.43% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 35 | | fancyCount | 5 | | fancyTags | | 0 | "Silas admitted (admit)" | | 1 | "she admitted (admit)" | | 2 | "he admitted (admit)" | | 3 | "he agreed (agree)" | | 4 | "he agreed (agree)" |
| | dialogueSentences | 74 | | tagDensity | 0.473 | | leniency | 0.946 | | rawRatio | 0.143 | | effectiveRatio | 0.135 | |