| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Her voice cracked slightly [slightly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 69 | | tagDensity | 0.246 | | leniency | 0.493 | | rawRatio | 0.118 | | effectiveRatio | 0.058 | |
| 78.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1176 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slightly" | | 2 | "sharply" | | 3 | "really" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 74.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1176 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "tracing" | | 1 | "flicker" | | 2 | "coded" | | 3 | "silence" | | 4 | "trembled" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 10 | | totalWords | 1156 | | ratio | 0.009 | | matches | | 0 | "half-demon" | | 1 | "pulling the trigger" | | 2 | "felt you" | | 3 | "had" | | 4 | "your" | | 5 | "fishing" | | 6 | "we" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 609 | | uniqueNames | 4 | | maxNameDensity | 0.49 | | worstName | "Ptolemy" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | French | 1 | | Ptolemy | 3 | | London | 1 | | Lucien | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.865 | | wordCount | 1156 | | matches | | 0 | "not from rain but from city grime" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 15.01 | | std | 15.24 | | cv | 1.015 | | sampleLengths | | 0 | 61 | | 1 | 55 | | 2 | 16 | | 3 | 7 | | 4 | 41 | | 5 | 4 | | 6 | 2 | | 7 | 35 | | 8 | 4 | | 9 | 40 | | 10 | 22 | | 11 | 4 | | 12 | 5 | | 13 | 7 | | 14 | 60 | | 15 | 40 | | 16 | 2 | | 17 | 2 | | 18 | 7 | | 19 | 5 | | 20 | 15 | | 21 | 2 | | 22 | 10 | | 23 | 7 | | 24 | 7 | | 25 | 3 | | 26 | 5 | | 27 | 3 | | 28 | 7 | | 29 | 9 | | 30 | 21 | | 31 | 10 | | 32 | 17 | | 33 | 3 | | 34 | 38 | | 35 | 54 | | 36 | 5 | | 37 | 16 | | 38 | 3 | | 39 | 7 | | 40 | 5 | | 41 | 5 | | 42 | 32 | | 43 | 10 | | 44 | 18 | | 45 | 11 | | 46 | 31 | | 47 | 7 | | 48 | 39 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 115 | | matches | | |
| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 126 | | ratio | 0.048 | | matches | | 0 | "Rain glistened in his platinum hair, though his shoulders were dry—no umbrella, but he hadn’t run." | | 1 | "“I remember you always hated opening the door.” He tilted his head slightly, just enough for the uneven light from the hallway bulb to catch both eyes—one amber, alive with fire; the other black as obsidian." | | 2 | "A flicker of something—recognition, maybe pain—passed behind her bright blue eyes." | | 3 | "Her flat was chaos in the truest sense—scrolls curled at the edges, ink-stained index cards stacked beside half-empty mugs of tea." | | 4 | "Her fingers trembled—just once." | | 5 | "She looked at him—really looked." |
| |
| 88.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 621 | | adjectiveStacks | 1 | | stackExamples | | 0 | "beside half-empty mugs" |
| | adverbCount | 29 | | adverbRatio | 0.04669887278582931 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00966183574879227 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 9.17 | | std | 8.44 | | cv | 0.92 | | sampleLengths | | 0 | 14 | | 1 | 3 | | 2 | 25 | | 3 | 19 | | 4 | 14 | | 5 | 16 | | 6 | 4 | | 7 | 21 | | 8 | 16 | | 9 | 3 | | 10 | 4 | | 11 | 36 | | 12 | 5 | | 13 | 4 | | 14 | 2 | | 15 | 2 | | 16 | 11 | | 17 | 13 | | 18 | 9 | | 19 | 4 | | 20 | 12 | | 21 | 15 | | 22 | 13 | | 23 | 13 | | 24 | 9 | | 25 | 4 | | 26 | 5 | | 27 | 7 | | 28 | 20 | | 29 | 21 | | 30 | 19 | | 31 | 4 | | 32 | 18 | | 33 | 18 | | 34 | 2 | | 35 | 2 | | 36 | 3 | | 37 | 1 | | 38 | 3 | | 39 | 5 | | 40 | 3 | | 41 | 7 | | 42 | 5 | | 43 | 2 | | 44 | 5 | | 45 | 5 | | 46 | 7 | | 47 | 4 | | 48 | 3 | | 49 | 3 |
| |
| 43.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.30158730158730157 | | totalSentences | 126 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 64 | | matches | | 0 | "Then, with a quiet click," | | 1 | "Somewhere below, a wok sizzled." | | 2 | "Then she walked to the" |
| | ratio | 0.047 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 64 | | matches | | 0 | "She just pulled the door" | | 1 | "He’d taken his time." | | 2 | "His right hand rested on" | | 3 | "His voice was low, French" | | 4 | "She didn’t smile." | | 5 | "He tilted his head slightly," | | 6 | "He stepped in, careful not" | | 7 | "His shoes left faint marks" | | 8 | "She shut the door behind" | | 9 | "She scooped him up, holding" | | 10 | "She carried Ptolemy to the" | | 11 | "Her flat was chaos in" | | 12 | "He stood just inside the" | | 13 | "His gaze moved over the" | | 14 | "He almost smiled." | | 15 | "She turned, arms crossed." | | 16 | "His jaw tightened." | | 17 | "He exhaled through his nose." | | 18 | "Her voice cracked slightly on" | | 19 | "She turned away, busying herself" |
| | ratio | 0.609 | |
| 14.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 64 | | matches | | 0 | "The chain on the door" | | 1 | "Aurora didn’t speak." | | 2 | "She just pulled the door" | | 3 | "The scent of turmeric and" | | 4 | "Lucien stood on the landing," | | 5 | "Rain glistened in his platinum" | | 6 | "He’d taken his time." | | 7 | "His right hand rested on" | | 8 | "His voice was low, French" | | 9 | "She didn’t smile." | | 10 | "He tilted his head slightly," | | 11 | "A flicker of something—recognition, maybe" | | 12 | "The crescent scar on her" | | 13 | "The door opened wider." | | 14 | "He stepped in, careful not" | | 15 | "His shoes left faint marks" | | 16 | "She shut the door behind" | | 17 | "Ptolemy, the tabby cat, wound" | | 18 | "She scooped him up, holding" | | 19 | "She carried Ptolemy to the" |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "He stepped, slow" | | 1 | "he said, voice rough" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 69 | | tagDensity | 0.101 | | leniency | 0.203 | | rawRatio | 0.143 | | effectiveRatio | 0.029 | |