| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 4 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "He shifted slightly [slightly]" | | 2 | "The admission felt like [like]" | | 3 | "she agreed finally [finally]" |
| | dialogueSentences | 37 | | tagDensity | 0.784 | | leniency | 1 | | rawRatio | 0.138 | | effectiveRatio | 0.138 | |
| 68.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 802 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "barely above a whisper" | | 3 | "softly" |
| |
| 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) | |
| 6.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 802 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "scanned" | | 1 | "dancing" | | 2 | "familiar" | | 3 | "unreadable" | | 4 | "mechanical" | | 5 | "depths" | | 6 | "unspoken" | | 7 | "reminder" | | 8 | "weight" | | 9 | "whisper" | | 10 | "palpable" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 47 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 795 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 598 | | uniqueNames | 13 | | maxNameDensity | 0.17 | | worstName | "Raven" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Rory | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Cardiff | 1 | | Silas | 1 | | Blackwood | 1 | | Czech | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Yu-Fei" | | 5 | "Cheung" | | 6 | "Silas" | | 7 | "Blackwood" |
| | places | | 0 | "Cardiff" | | 1 | "Czech" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 4 | | matches | | 0 | "smelled like old wood polish and spilled b" | | 1 | "not quite a question, more like a statement of fact" | | 2 | "felt like tearing open a wound she’d tr" | | 3 | "felt like a physical thing pressing dow" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 795 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 63.36% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 88.33 | | std | 32.84 | | cv | 0.372 | | sampleLengths | | 0 | 150 | | 1 | 61 | | 2 | 82 | | 3 | 35 | | 4 | 74 | | 5 | 68 | | 6 | 118 | | 7 | 91 | | 8 | 116 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 54 | | ratio | 0.019 | | matches | | 0 | "The past wasn’t gone; it was just quieter now, a low hum beneath the surface of the present." |
| |
| 95.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 603 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.04477611940298507 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01658374792703151 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 14.72 | | std | 7.4 | | cv | 0.503 | | sampleLengths | | 0 | 26 | | 1 | 19 | | 2 | 28 | | 3 | 16 | | 4 | 11 | | 5 | 35 | | 6 | 15 | | 7 | 12 | | 8 | 18 | | 9 | 12 | | 10 | 17 | | 11 | 2 | | 12 | 11 | | 13 | 18 | | 14 | 3 | | 15 | 25 | | 16 | 20 | | 17 | 5 | | 18 | 8 | | 19 | 15 | | 20 | 9 | | 21 | 3 | | 22 | 11 | | 23 | 11 | | 24 | 13 | | 25 | 9 | | 26 | 18 | | 27 | 8 | | 28 | 4 | | 29 | 7 | | 30 | 24 | | 31 | 10 | | 32 | 19 | | 33 | 8 | | 34 | 7 | | 35 | 19 | | 36 | 18 | | 37 | 20 | | 38 | 25 | | 39 | 19 | | 40 | 10 | | 41 | 4 | | 42 | 15 | | 43 | 25 | | 44 | 17 | | 45 | 22 | | 46 | 8 | | 47 | 4 | | 48 | 25 | | 49 | 10 |
| |
| 88.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5555555555555556 | | totalSentences | 54 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 47 | | matches | | 0 | "She’d been here a thousand" | | 1 | "She scanned the low-ceilinged room," | | 2 | "His grey-streaked auburn hair was" | | 3 | "Her voice was a low" | | 4 | "He didn’t look up, but" | | 5 | "He pushed his glasses up" | | 6 | "She slid onto the stool" | | 7 | "He didn’t flinch." | | 8 | "He took a slow sip" | | 9 | "His gaze drifted to her" | | 10 | "she admitted, pushing her glasses" | | 11 | "She gestured vaguely towards the" | | 12 | "He nodded, a ghost of" | | 13 | "He tapped the signet ring" | | 14 | "She looked down, her fingers" | | 15 | "she countered, her voice softer" | | 16 | "he said, the word tasting" | | 17 | "He trailed off, the memory" | | 18 | "He shifted slightly, the movement" | | 19 | "He met her gaze, the" |
| | ratio | 0.723 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 47 | | matches | | 0 | "The Raven’s Nest smelled like" | | 1 | "Aurora Carter pushed open the" | | 2 | "She’d been here a thousand" | | 3 | "She scanned the low-ceilinged room," | | 4 | "There, near the back, slumped" | | 5 | "His grey-streaked auburn hair was" | | 6 | "The silver signet ring on" | | 7 | "Her voice was a low" | | 8 | "He didn’t look up, but" | | 9 | "He pushed his glasses up" | | 10 | "The name rolled off his" | | 11 | "She slid onto the stool" | | 12 | "The words felt clumsy, but" | | 13 | "He didn’t flinch." | | 14 | "He took a slow sip" | | 15 | "His gaze drifted to her" | | 16 | "she admitted, pushing her glasses" | | 17 | "She gestured vaguely towards the" | | 18 | "A small, tight smile touched" | | 19 | "He nodded, a ghost of" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 1 | | matches | | 0 | "She’d been here a thousand times, but never as Rory, the delivery person for Yu-Fei Cheung’s Golden Empress, not as the woman who’d fled Cardiff five years ago." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 8 | | matches | | 0 | "The name rolled, not quite a question, more like a statement of fact" | | 1 | "she countered, her voice softer now" | | 2 | "he said, the word tasting bitter" | | 3 | "She stopped, the name a lump in her throat" | | 4 | "She took, the scent of stale smoke and whiskey filling her lungs" | | 5 | "He paused, his gaze drifting to the hidden bookshelf behind the bar" | | 6 | "she agreed finally, her voice barely above a whisper" | | 7 | "She looked, the green light pulsing softly" |
| |
| 68.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "She laughed (laugh)" | | 2 | "she agreed finally (agree)" |
| | dialogueSentences | 37 | | tagDensity | 0.108 | | leniency | 0.216 | | rawRatio | 0.75 | | effectiveRatio | 0.162 | |