| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.149 | | leniency | 0.299 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1311 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "barely above a whisper" | | 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) | |
| 0.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1311 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "shattered" | | 1 | "familiar" | | 2 | "silk" | | 3 | "silence" | | 4 | "weight" | | 5 | "tracing" | | 6 | "unreadable" | | 7 | "could feel" | | 8 | "unspoken" | | 9 | "pulse" | | 10 | "whisper" | | 11 | "trembled" | | 12 | "chill" | | 13 | "down her spine" | | 14 | "racing" | | 15 | "stomach" | | 16 | "pounding" | | 17 | "raced" | | 18 | "jaw clenched" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 5 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 2 |
| | 3 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "jaw clenched" | | 2 | "hung in the air" | | 3 | "sent a chill down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1304 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 970 | | uniqueNames | 6 | | maxNameDensity | 2.27 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 19 | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | London | 2 | | Silas | 22 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Blackwood" | | 4 | "Silas" |
| | places | | | globalScore | 0.366 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | 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 | 1304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 170 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 16.72 | | std | 12.73 | | cv | 0.762 | | sampleLengths | | 0 | 27 | | 1 | 3 | | 2 | 68 | | 3 | 3 | | 4 | 14 | | 5 | 25 | | 6 | 11 | | 7 | 11 | | 8 | 24 | | 9 | 54 | | 10 | 4 | | 11 | 14 | | 12 | 6 | | 13 | 14 | | 14 | 13 | | 15 | 22 | | 16 | 32 | | 17 | 28 | | 18 | 12 | | 19 | 15 | | 20 | 25 | | 21 | 7 | | 22 | 6 | | 23 | 42 | | 24 | 5 | | 25 | 13 | | 26 | 41 | | 27 | 26 | | 28 | 12 | | 29 | 11 | | 30 | 1 | | 31 | 28 | | 32 | 32 | | 33 | 4 | | 34 | 7 | | 35 | 16 | | 36 | 21 | | 37 | 3 | | 38 | 56 | | 39 | 8 | | 40 | 8 | | 41 | 22 | | 42 | 26 | | 43 | 10 | | 44 | 27 | | 45 | 9 | | 46 | 5 | | 47 | 25 | | 48 | 10 | | 49 | 26 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 181 | | matches | (empty) | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 170 | | ratio | 0.029 | | matches | | 0 | "A man’s voice—rough, familiar—cut through the hum of the bar like a blade through silk." | | 1 | "The knee injury—old, but never forgotten." | | 2 | "The bar was nearly empty—just a few regulars nursing their drinks in the corners, the kind of people who knew better than to eavesdrop." | | 3 | "She didn’t need to unfold it to know what it was—a photograph." | | 4 | "There she was—younger, softer, her dark hair longer, her smile easier." |
| |
| 96.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 976 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.04405737704918033 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01331967213114754 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 7.67 | | std | 4.89 | | cv | 0.637 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 3 | | 3 | 10 | | 4 | 20 | | 5 | 18 | | 6 | 20 | | 7 | 3 | | 8 | 4 | | 9 | 10 | | 10 | 15 | | 11 | 6 | | 12 | 4 | | 13 | 11 | | 14 | 8 | | 15 | 3 | | 16 | 10 | | 17 | 8 | | 18 | 3 | | 19 | 3 | | 20 | 11 | | 21 | 24 | | 22 | 15 | | 23 | 4 | | 24 | 4 | | 25 | 13 | | 26 | 1 | | 27 | 6 | | 28 | 10 | | 29 | 4 | | 30 | 12 | | 31 | 1 | | 32 | 6 | | 33 | 5 | | 34 | 11 | | 35 | 10 | | 36 | 16 | | 37 | 6 | | 38 | 12 | | 39 | 13 | | 40 | 3 | | 41 | 10 | | 42 | 2 | | 43 | 3 | | 44 | 9 | | 45 | 3 | | 46 | 10 | | 47 | 15 | | 48 | 3 | | 49 | 4 |
| |
| 44.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.24705882352941178 | | totalSentences | 170 | | uniqueOpeners | 42 | |
| 93.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 107 | | matches | | 0 | "Then, with a slow nod," | | 1 | "Instead, he reached into his" | | 2 | "Then, with a slow exhale," |
| | ratio | 0.028 | |
| 85.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 107 | | matches | | 0 | "She turned slowly, the broken" | | 1 | "He smirked, but it didn’t" | | 2 | "She slid onto a stool," | | 3 | "It wasn’t a question." | | 4 | "She set the glass down," | | 5 | "He studied her for a" | | 6 | "She watched as he poured" | | 7 | "His voice was low, almost" | | 8 | "She swallowed hard." | | 9 | "She took another sip of" | | 10 | "He didn’t answer right away." | | 11 | "He slid it across the" | | 12 | "She didn’t need to unfold" | | 13 | "she said, her voice barely" | | 14 | "His voice was sharp, edged" | | 15 | "She barely recognized herself." | | 16 | "She didn’t answer." | | 17 | "She didn’t have to." | | 18 | "He’d been the one to" | | 19 | "He’d been the one to" |
| | ratio | 0.336 | |
| 11.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 107 | | matches | | 0 | "The glass shattered against the" | | 1 | "A man’s voice—rough, familiar—cut through" | | 2 | "She turned slowly, the broken" | | 3 | "The Raven’s Nest smelled of" | | 4 | "Silas Blackwood stood in the" | | 5 | "The silver signet ring on" | | 6 | "A beat of silence." | | 7 | "The kind that stretched too" | | 8 | "Silas pushed off the doorframe" | | 9 | "The knee injury—old, but never" | | 10 | "He smirked, but it didn’t" | | 11 | "The name hit her like" | | 12 | "She slid onto a stool," | | 13 | "The bar was nearly empty—just" | | 14 | "Silas poured two fingers of" | | 15 | "It wasn’t a question." | | 16 | "Rory took the glass, the" | | 17 | "She set the glass down," | | 18 | "Silas exhaled through his nose," | | 19 | "The word hung between them," |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas hesitated, his gaze flickering toward the door before settling back on her." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 5 | | matches | | 0 | "Silas leaned, his elbows resting on the bar" | | 1 | "she said, her voice barely above a whisper" | | 2 | "she admitted, her voice barely a whisper" | | 3 | "Silas said, his voice low" | | 4 | "he said, his voice low" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 67 | | tagDensity | 0.075 | | leniency | 0.149 | | rawRatio | 0.2 | | effectiveRatio | 0.03 | |