| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 952 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "softly" | | 1 | "barely above a whisper" | | 2 | "slightly" | | 3 | "really" | | 4 | "tightly" |
| |
| 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) | |
| 0.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 952 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "chill" | | 1 | "scanned" | | 2 | "familiar" | | 3 | "whisper" | | 4 | "etched" | | 5 | "eyebrow" | | 6 | "glint" | | 7 | "tracing" | | 8 | "unreadable" | | 9 | "tension" | | 10 | "comfortable" | | 11 | "silence" | | 12 | "sense of" | | 13 | "unspoken" | | 14 | "testament" | | 15 | "weight" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "hung heavy in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | 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 | 948 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 642 | | uniqueNames | 9 | | maxNameDensity | 2.18 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 2 | | Raven | 1 | | Nest | 1 | | London | 1 | | Carter | 1 | | Rory | 14 | | Blackwood | 1 | | Si | 1 | | Silas | 14 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Blackwood" | | 5 | "Silas" |
| | places | | | globalScore | 0.41 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 94.51% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.055 | | wordCount | 948 | | matches | | 0 | "not much, but it pays the bills" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 29.63 | | std | 19.49 | | cv | 0.658 | | sampleLengths | | 0 | 54 | | 1 | 74 | | 2 | 87 | | 3 | 46 | | 4 | 24 | | 5 | 18 | | 6 | 31 | | 7 | 35 | | 8 | 22 | | 9 | 8 | | 10 | 42 | | 11 | 30 | | 12 | 18 | | 13 | 46 | | 14 | 9 | | 15 | 13 | | 16 | 26 | | 17 | 25 | | 18 | 22 | | 19 | 36 | | 20 | 9 | | 21 | 14 | | 22 | 15 | | 23 | 36 | | 24 | 20 | | 25 | 10 | | 26 | 20 | | 27 | 19 | | 28 | 23 | | 29 | 25 | | 30 | 16 | | 31 | 75 |
| |
| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 53 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 101 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 645 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.027906976744186046 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007751937984496124 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 12 | | std | 7.06 | | cv | 0.588 | | sampleLengths | | 0 | 14 | | 1 | 16 | | 2 | 24 | | 3 | 18 | | 4 | 10 | | 5 | 21 | | 6 | 25 | | 7 | 15 | | 8 | 12 | | 9 | 19 | | 10 | 15 | | 11 | 26 | | 12 | 9 | | 13 | 7 | | 14 | 9 | | 15 | 21 | | 16 | 9 | | 17 | 8 | | 18 | 7 | | 19 | 9 | | 20 | 9 | | 21 | 8 | | 22 | 23 | | 23 | 8 | | 24 | 21 | | 25 | 6 | | 26 | 6 | | 27 | 16 | | 28 | 4 | | 29 | 4 | | 30 | 9 | | 31 | 33 | | 32 | 3 | | 33 | 15 | | 34 | 12 | | 35 | 13 | | 36 | 5 | | 37 | 12 | | 38 | 34 | | 39 | 5 | | 40 | 4 | | 41 | 2 | | 42 | 11 | | 43 | 15 | | 44 | 11 | | 45 | 12 | | 46 | 13 | | 47 | 10 | | 48 | 12 | | 49 | 17 |
| |
| 58.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3670886075949367 | | totalSentences | 79 | | uniqueOpeners | 29 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Instead, she changed the topic." |
| | ratio | 0.02 | |
| 92.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 50 | | matches | | 0 | "She stepped inside, her eyes" | | 1 | "She scanned the room, her" | | 2 | "His hazel eyes, once sharp" | | 3 | "His hair, once a fiery" | | 4 | "He still carried himself with" | | 5 | "she said, her voice barely" | | 6 | "It was a statement, not" | | 7 | "She didn't need to ask" | | 8 | "He looked at her, surprise" | | 9 | "he said, his voice a" | | 10 | "She nodded, sliding onto the" | | 11 | "She looked around the bar," | | 12 | "She looked down at her" | | 13 | "She knew better than to" | | 14 | "They fell into a comfortable" | | 15 | "They finished their drinks in" |
| | ratio | 0.32 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 50 | | matches | | 0 | "The air was thick with" | | 1 | "The distinctive green neon sign" | | 2 | "Aurora Carter, known to most" | | 3 | "She stepped inside, her eyes" | | 4 | "The bar was a labyrinth" | | 5 | "She scanned the room, her" | | 6 | "Silas Blackwood, or Si as" | | 7 | "His hazel eyes, once sharp" | | 8 | "His hair, once a fiery" | | 9 | "A silver signet ring glinted" | | 10 | "He still carried himself with" | | 11 | "she said, her voice barely" | | 12 | "It was a statement, not" | | 13 | "She didn't need to ask" | | 14 | "Time might have weathered him," | | 15 | "He looked at her, surprise" | | 16 | "he said, his voice a" | | 17 | "She nodded, sliding onto the" | | 18 | "Silas chuckled, taking a sip" | | 19 | "Rory smiled, but it didn't" |
| | ratio | 0.92 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice barely above a whisper" | | 1 | "he said, his voice a low rumble" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0 | | effectiveRatio | 0 | |