| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.149 | | leniency | 0.298 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1417 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 22.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1417 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "down her spine" | | count | 1 |
| | 16 | |
| | highlights | | 0 | "glinting" | | 1 | "gloom" | | 2 | "flickered" | | 3 | "scanned" | | 4 | "eyebrow" | | 5 | "trembled" | | 6 | "warmth" | | 7 | "weight" | | 8 | "velvet" | | 9 | "quivered" | | 10 | "jaw clenched" | | 11 | "flicker" | | 12 | "tension" | | 13 | "silence" | | 14 | "tracing" | | 15 | "down her spine" | | 16 | "dancing" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 159 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 159 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1407 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1140 | | uniqueNames | 12 | | maxNameDensity | 0.26 | | worstName | "Fingers" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Silas" | | discoveredNames | | Moreau | 1 | | Silas | 2 | | Yu-Fei | 1 | | Golden | 1 | | Empress | 1 | | Mark | 1 | | Avaros | 1 | | Cardiff | 1 | | East | 1 | | London | 1 | | Voice | 1 | | Fingers | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Silas" | | 2 | "Yu-Fei" | | 3 | "Mark" | | 4 | "Voice" | | 5 | "Fingers" |
| | places | | 0 | "Cardiff" | | 1 | "East" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 1 | | matches | | 0 | "as if slamming with impatient feet" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1407 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 199 | | matches | | 0 | "carved that shape" | | 1 | "offered that ghost" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 20.69 | | std | 10.59 | | cv | 0.512 | | sampleLengths | | 0 | 48 | | 1 | 21 | | 2 | 10 | | 3 | 46 | | 4 | 22 | | 5 | 21 | | 6 | 23 | | 7 | 18 | | 8 | 18 | | 9 | 26 | | 10 | 31 | | 11 | 20 | | 12 | 27 | | 13 | 28 | | 14 | 17 | | 15 | 13 | | 16 | 27 | | 17 | 16 | | 18 | 13 | | 19 | 50 | | 20 | 13 | | 21 | 6 | | 22 | 22 | | 23 | 11 | | 24 | 20 | | 25 | 35 | | 26 | 17 | | 27 | 25 | | 28 | 12 | | 29 | 34 | | 30 | 12 | | 31 | 11 | | 32 | 33 | | 33 | 19 | | 34 | 15 | | 35 | 32 | | 36 | 12 | | 37 | 36 | | 38 | 40 | | 39 | 33 | | 40 | 7 | | 41 | 15 | | 42 | 18 | | 43 | 8 | | 44 | 8 | | 45 | 9 | | 46 | 28 | | 47 | 31 | | 48 | 20 | | 49 | 25 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 221 | | matches | (empty) | |
| 99.78% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 199 | | ratio | 0.015 | | matches | | 0 | "The flat smelled of stale beer and yesterday’s curry—Silas’s bar below and Yu-Fei’s Golden Empress to the north." | | 1 | "His voice held a weight she remembered—velvet anchored by steel." | | 2 | "A thrill shot through her chest—equal parts dread and something new, something raw." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1148 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.024390243902439025 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004355400696864111 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 7.07 | | std | 4.42 | | cv | 0.625 | | sampleLengths | | 0 | 11 | | 1 | 8 | | 2 | 18 | | 3 | 11 | | 4 | 4 | | 5 | 17 | | 6 | 4 | | 7 | 4 | | 8 | 2 | | 9 | 4 | | 10 | 12 | | 11 | 18 | | 12 | 12 | | 13 | 11 | | 14 | 6 | | 15 | 5 | | 16 | 3 | | 17 | 7 | | 18 | 6 | | 19 | 5 | | 20 | 17 | | 21 | 6 | | 22 | 13 | | 23 | 5 | | 24 | 5 | | 25 | 9 | | 26 | 4 | | 27 | 17 | | 28 | 6 | | 29 | 3 | | 30 | 4 | | 31 | 3 | | 32 | 10 | | 33 | 8 | | 34 | 6 | | 35 | 17 | | 36 | 3 | | 37 | 4 | | 38 | 8 | | 39 | 4 | | 40 | 2 | | 41 | 6 | | 42 | 3 | | 43 | 7 | | 44 | 10 | | 45 | 4 | | 46 | 7 | | 47 | 5 | | 48 | 5 | | 49 | 4 |
| |
| 43.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2914572864321608 | | totalSentences | 199 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 145 | | matches | | 0 | "Only a sentence torn in" | | 1 | "Once, she’d carved it to" | | 2 | "Then he folded the note" | | 3 | "Then he slid his hand" | | 4 | "Then he caught her hand," |
| | ratio | 0.034 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 90 | | totalSentences | 145 | | matches | | 0 | "His heterochromatic gaze caught hers" | | 1 | "She froze a heartbeat." | | 2 | "He tipped his head." | | 3 | "She held the door wide" | | 4 | "He paused at the threshold," | | 5 | "He scanned the room, chin" | | 6 | "She stepped aside." | | 7 | "He brushed past, leaving a" | | 8 | "She watched the deadbolts slide" | | 9 | "He tilted an eyebrow at" | | 10 | "She dropped into the armchair." | | 11 | "He let the cane thud" | | 12 | "She lifted her chin." | | 13 | "She pressed fingertips to it," | | 14 | "He glanced toward the hatch" | | 15 | "She closed her eyes." | | 16 | "He’d called it off." | | 17 | "She’d stopped checking." | | 18 | "He crossed to the small" | | 19 | "She stared at the surface." |
| | ratio | 0.621 | |
| 32.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 145 | | matches | | 0 | "Aurora eased the last deadbolt" | | 1 | "A sliver of light spilled" | | 2 | "Lucien Moreau stood on the" | | 3 | "His heterochromatic gaze caught hers" | | 4 | "She froze a heartbeat." | | 5 | "Shadows pooled on his cheek," | | 6 | "He tipped his head." | | 7 | "Hair slick as oil." | | 8 | "The hallway light flickered." | | 9 | "She held the door wide" | | 10 | "The flat smelled of stale" | | 11 | "Books lined every surface, precarious" | | 12 | "He paused at the threshold," | | 13 | "He scanned the room, chin" | | 14 | "She stepped aside." | | 15 | "Walls of dusty jars and" | | 16 | "A battered armchair near the" | | 17 | "A single overhead bulb hummed." | | 18 | "He brushed past, leaving a" | | 19 | "She watched the deadbolts slide" |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 145 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "The door to Silas’s bar thumped low, as if slamming with impatient feet." |
| |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "she asked, tone beaded with ice and want" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.106 | | leniency | 0.213 | | rawRatio | 0 | | effectiveRatio | 0 | |