| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1297 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 49.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1297 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pumping" | | 1 | "etched" | | 2 | "crystal" | | 3 | "silence" | | 4 | "scanning" | | 5 | "hulking" | | 6 | "porcelain" | | 7 | "flicked" | | 8 | "shattered" | | 9 | "gloom" | | 10 | "velvet" | | 11 | "tapestry" |
| |
| 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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1289 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1113 | | uniqueNames | 15 | | maxNameDensity | 0.9 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomás" | | discoveredNames | | London | 1 | | Quinn | 1 | | Tomás | 8 | | Herrera | 1 | | Camden | 2 | | Met | 1 | | Soho | 1 | | Tube | 1 | | Chalk | 1 | | Farm | 1 | | Victorian | 2 | | Underground | 1 | | Metropolitan | 1 | | Police | 1 | | Harlow | 10 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Camden" | | 4 | "Met" | | 5 | "Harlow" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Chalk" | | 3 | "Farm" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.776 | | wordCount | 1289 | | matches | | 0 | "Not orange friction sparks, but violent, silent flares of bruise-purple light" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 29.98 | | std | 20.5 | | cv | 0.684 | | sampleLengths | | 0 | 31 | | 1 | 3 | | 2 | 43 | | 3 | 59 | | 4 | 50 | | 5 | 25 | | 6 | 23 | | 7 | 17 | | 8 | 62 | | 9 | 6 | | 10 | 30 | | 11 | 16 | | 12 | 29 | | 13 | 25 | | 14 | 17 | | 15 | 39 | | 16 | 7 | | 17 | 3 | | 18 | 45 | | 19 | 23 | | 20 | 49 | | 21 | 47 | | 22 | 19 | | 23 | 48 | | 24 | 23 | | 25 | 44 | | 26 | 1 | | 27 | 9 | | 28 | 37 | | 29 | 26 | | 30 | 25 | | 31 | 17 | | 32 | 37 | | 33 | 22 | | 34 | 7 | | 35 | 38 | | 36 | 24 | | 37 | 7 | | 38 | 100 | | 39 | 18 | | 40 | 78 | | 41 | 47 | | 42 | 13 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 192 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 91 | | ratio | 0.066 | | matches | | 0 | "Tomás hit a dead end—a towering wall of corrugated iron blocking off a condemned Victorian Underground entrance." | | 1 | "Tomás yanked a yellowed, jagged disc from his pocket—carved bone, etched with dark grooves—and jammed it into a rusted padlock securing the iron sheets." | | 2 | "The air tasted thick—myrrh, wet dog, ozone, and burnt sugar." | | 3 | "Instinct—sharpened by eighteen years of street violence—screamed that flashing Metropolitan Police tin down here meant signing her own death certificate." | | 4 | "Tucked against the grooved metal riser, half-submerged in black sludge, lay a splintered shard of yellowed bone—half of what Tomás had shoved into the padlock above." | | 5 | "No radio signal—her shoulder unit sat dead and silent against her collarbone, devoid of even static." |
| |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1142 | | adjectiveStacks | 3 | | stackExamples | | 0 | "damp, exhaust-heavy air." | | 1 | "wet, grime-caked steps" | | 2 | "thick green alchemical smoke" |
| | adverbCount | 14 | | adverbRatio | 0.012259194395796848 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0035026269702276708 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 14.16 | | std | 7.35 | | cv | 0.519 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 3 | | 3 | 17 | | 4 | 4 | | 5 | 22 | | 6 | 18 | | 7 | 22 | | 8 | 13 | | 9 | 3 | | 10 | 3 | | 11 | 12 | | 12 | 14 | | 13 | 24 | | 14 | 17 | | 15 | 8 | | 16 | 15 | | 17 | 8 | | 18 | 17 | | 19 | 9 | | 20 | 8 | | 21 | 20 | | 22 | 25 | | 23 | 6 | | 24 | 30 | | 25 | 16 | | 26 | 29 | | 27 | 18 | | 28 | 7 | | 29 | 17 | | 30 | 4 | | 31 | 7 | | 32 | 28 | | 33 | 7 | | 34 | 3 | | 35 | 24 | | 36 | 2 | | 37 | 19 | | 38 | 8 | | 39 | 15 | | 40 | 7 | | 41 | 6 | | 42 | 19 | | 43 | 17 | | 44 | 15 | | 45 | 15 | | 46 | 17 | | 47 | 4 | | 48 | 15 | | 49 | 12 |
| |
| 80.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5054945054945055 | | totalSentences | 91 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 77 | | matches | | 0 | "He didn't look back." | | 1 | "Her forty-one-year-old knees protested on" | | 2 | "She blinked the grit away," | | 3 | "She had clocked him leaving" | | 4 | "Her chest heaved, sucking in" | | 5 | "His chest rose and fell" | | 6 | "He pushed wet curls off" | | 7 | "His fingers fumbled inside his" | | 8 | "She lunged forward." | | 9 | "She grabbed the cold iron" | | 10 | "Her palm tingled, numbness shooting" | | 11 | "She ignored the broken glass," | | 12 | "She wrenched the corrugated sheet" | | 13 | "Her military posture remained iron-straight," | | 14 | "He blocked the narrow landing," | | 15 | "She didn't reach for her" | | 16 | "She crouched without breaking eye" | | 17 | "She froze at the yellow" | | 18 | "His gaze locked directly onto" | | 19 | "Her fingers tightened around the" |
| | ratio | 0.26 | |
| 70.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 77 | | matches | | 0 | "Harlow Quinn vaulted a toppled" | | 1 | "He didn't look back." | | 2 | "Dark, rain-plastered curls clung to" | | 3 | "Harlow squared her shoulders, pumping" | | 4 | "Her forty-one-year-old knees protested on" | | 5 | "Stamina beat panic." | | 6 | "Every single time." | | 7 | "Water sluiced off her closely" | | 8 | "She blinked the grit away," | | 9 | "She had clocked him leaving" | | 10 | "Tomás hit a dead end—a" | | 11 | "Rust bled down the metal" | | 12 | "Harlow dropped into a tactical" | | 13 | "Her chest heaved, sucking in" | | 14 | "Tomás spun, pressing his spine" | | 15 | "His chest rose and fell" | | 16 | "Rain plastered his thin cotton" | | 17 | "He pushed wet curls off" | | 18 | "Tomás shook his head, warm" | | 19 | "His fingers fumbled inside his" |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 50.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 7 | | matches | | 0 | "Harlow Quinn vaulted a toppled wheelie bin, her boots splashing through black puddles that numbed her ankles." | | 1 | "Harlow squared her shoulders, pumping her arms with rigid, practiced form, and cleared the barrier without breaking stride." | | 2 | "He pushed wet curls off his forehead with his left arm, his sleeve riding up to expose a thick, pale scar slicing down his forearm." | | 3 | "Not orange friction sparks, but violent, silent flares of bruise-purple light that smelled of singed copper and slaughterhouse floor." | | 4 | "Her palm tingled, numbness shooting up to her elbow, rattling the worn leather watch strapped to her left wrist." | | 5 | "Behind her lay the stairs, the rain, the patrol cars, and laws that made sense." | | 6 | "Ahead lay the impossible rot that had swallowed her partner whole three years ago." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |