| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "The name felt like [like]" | | 1 | "Her voice caught then [then]" |
| | dialogueSentences | 47 | | tagDensity | 0.362 | | leniency | 0.723 | | rawRatio | 0.118 | | effectiveRatio | 0.085 | |
| 82.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1152 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "gently" |
| |
| 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) | |
| 60.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1152 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "weight" | | 2 | "flicked" | | 3 | "traced" | | 4 | "potential" | | 5 | "silence" | | 6 | "crystal" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 9 | | totalWords | 1147 | | ratio | 0.008 | | matches | | 0 | "The Escalator" | | 1 | "very" | | 2 | "fix it" | | 3 | "Golden Empress—Storage Room. YFC." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 690 | | uniqueNames | 12 | | maxNameDensity | 1.88 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Carter | 2 | | Golden | 2 | | Empress | 2 | | Blackwood | 1 | | Aurora | 10 | | Silas | 13 | | Storage | 1 | | Room | 1 | | Brendan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Blackwood" | | 3 | "Aurora" | | 4 | "Silas" | | 5 | "Brendan" |
| | places | | 0 | "London" | | 1 | "Golden" | | 2 | "Empress" | | 3 | "Storage" | | 4 | "Room" |
| | globalScore | 0.558 | | windowScore | 0.667 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a key turning in a lock she’d" | | 1 | "felt like a second heartbeat in her han" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1147 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 27.98 | | std | 19.63 | | cv | 0.702 | | sampleLengths | | 0 | 96 | | 1 | 59 | | 2 | 7 | | 3 | 22 | | 4 | 56 | | 5 | 19 | | 6 | 60 | | 7 | 34 | | 8 | 4 | | 9 | 24 | | 10 | 28 | | 11 | 39 | | 12 | 8 | | 13 | 13 | | 14 | 61 | | 15 | 9 | | 16 | 42 | | 17 | 14 | | 18 | 24 | | 19 | 7 | | 20 | 7 | | 21 | 18 | | 22 | 40 | | 23 | 31 | | 24 | 43 | | 25 | 19 | | 26 | 7 | | 27 | 43 | | 28 | 1 | | 29 | 33 | | 30 | 15 | | 31 | 43 | | 32 | 19 | | 33 | 22 | | 34 | 46 | | 35 | 40 | | 36 | 29 | | 37 | 12 | | 38 | 28 | | 39 | 8 | | 40 | 17 |
| |
| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 66 | | matches | | 0 | "was combed" | | 1 | "was embossed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 96 | | ratio | 0.042 | | matches | | 0 | "Inside, the bar was a sanctuary of wood and low light—oak beams, amber lanterns, the clatter of ice in a cocktail shaker." | | 1 | "Not an accusation—curiosity, the kind that aged like fine brandy." | | 2 | "“You’re wrong about that.” He reached into his jacket, producing a silver keyring with a single tag: *Golden Empress—Storage Room." | | 3 | "Silas flipped a switch—flickering lights revealed files stacked in a grid: maps, bank records, a photograph of a younger Aurora laughing beside Brendan Carter at a graduation ceremony." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 698 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.025787965616045846 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004297994269340974 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 11.95 | | std | 6.9 | | cv | 0.577 | | sampleLengths | | 0 | 22 | | 1 | 14 | | 2 | 19 | | 3 | 22 | | 4 | 19 | | 5 | 18 | | 6 | 22 | | 7 | 19 | | 8 | 5 | | 9 | 2 | | 10 | 7 | | 11 | 15 | | 12 | 18 | | 13 | 11 | | 14 | 11 | | 15 | 16 | | 16 | 9 | | 17 | 10 | | 18 | 7 | | 19 | 12 | | 20 | 26 | | 21 | 15 | | 22 | 3 | | 23 | 20 | | 24 | 11 | | 25 | 4 | | 26 | 17 | | 27 | 7 | | 28 | 8 | | 29 | 13 | | 30 | 7 | | 31 | 14 | | 32 | 25 | | 33 | 3 | | 34 | 5 | | 35 | 8 | | 36 | 5 | | 37 | 4 | | 38 | 19 | | 39 | 28 | | 40 | 10 | | 41 | 6 | | 42 | 3 | | 43 | 6 | | 44 | 25 | | 45 | 11 | | 46 | 4 | | 47 | 10 | | 48 | 2 | | 49 | 13 |
| |
| 56.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3541666666666667 | | totalSentences | 96 | | uniqueOpeners | 34 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Somewhere upstairs, a floorboard groaned." |
| | ratio | 0.016 | |
| 35.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 63 | | matches | | 0 | "She tugged her Golden Empress" | | 1 | "She’d passed this place every" | | 2 | "His grey-streaked auburn hair was" | | 3 | "His gaze flicked up from" | | 4 | "He set the glass down." | | 5 | "She stepped inside before she" | | 6 | "He gestured to a stool" | | 7 | "She sat, the barkeep sliding" | | 8 | "She laughed, sharp and quick" | | 9 | "He studied her instead, the" | | 10 | "She’d always hated that people" | | 11 | "He ordered another whiskey, though" | | 12 | "She leaned in, the bar’s" | | 13 | "She nodded at his knee," | | 14 | "She gestured at the bar," | | 15 | "He let out a dry" | | 16 | "Her knuckles whitened on the" | | 17 | "Her mouth twitched." | | 18 | "He set his untouched whiskey" | | 19 | "Her voice caught, then steadied" |
| | ratio | 0.46 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 63 | | matches | | 0 | "The neon green glow of" | | 1 | "Aurora Carter hesitated at the" | | 2 | "She tugged her Golden Empress" | | 3 | "She’d passed this place every" | | 4 | "Silas Blackwood stood behind the" | | 5 | "His grey-streaked auburn hair was" | | 6 | "His gaze flicked up from" | | 7 | "He set the glass down." | | 8 | "She stepped inside before she" | | 9 | "The name felt like a" | | 10 | "He gestured to a stool" | | 11 | "The stool was worn leather," | | 12 | "She sat, the barkeep sliding" | | 13 | "Silas lowered himself into the" | | 14 | "Aurora traced the rim of" | | 15 | "The crescent scar on her" | | 16 | "She laughed, sharp and quick" | | 17 | "Silas didn’t smile." | | 18 | "He studied her instead, the" | | 19 | "She’d always hated that people" |
| | ratio | 0.952 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "She paused, the irony too barbed to flinch away" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 47 | | tagDensity | 0.064 | | leniency | 0.128 | | rawRatio | 0.333 | | effectiveRatio | 0.043 | |