| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 640 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 640 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "fluttered" | | 1 | "echoed" | | 2 | "resolved" | | 3 | "gloom" | | 4 | "velvet" | | 5 | "shattered" | | 6 | "flicked" | | 7 | "shimmered" | | 8 | "flickered" | | 9 | "resolving" | | 10 | "racing" | | 11 | "perfect" | | 12 | "crystal" | | 13 | "pulse" | | 14 | "spectral" |
| |
| 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 | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 627 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.06% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 536 | | uniqueNames | 13 | | maxNameDensity | 2.24 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Detective | 1 | | Harlow | 12 | | Quinn | 1 | | West | 1 | | End | 1 | | Victorian | 1 | | Kowalski | 1 | | Eva | 10 | | Veil | 1 | | Compass | 1 | | Underground | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Underground" |
| | places | | | globalScore | 0.381 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 627 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 25.08 | | std | 15.99 | | cv | 0.638 | | sampleLengths | | 0 | 56 | | 1 | 53 | | 2 | 11 | | 3 | 40 | | 4 | 47 | | 5 | 32 | | 6 | 42 | | 7 | 7 | | 8 | 32 | | 9 | 7 | | 10 | 25 | | 11 | 7 | | 12 | 34 | | 13 | 41 | | 14 | 24 | | 15 | 28 | | 16 | 5 | | 17 | 35 | | 18 | 14 | | 19 | 37 | | 20 | 7 | | 21 | 20 | | 22 | 4 | | 23 | 9 | | 24 | 10 |
| |
| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 82 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 51 | | ratio | 0.098 | | matches | | 0 | "The velvet rope behind her led to a ticket booth plastered with arcane symbols in silver spray paint—an occult rosary circling the shattered glass." | | 1 | "Not blood—too viscous, with an iridescent sheen like petrol on water." | | 2 | "“That’s twenty minutes before his severed hand turned up in the evidence locker.” She played her torch over the tracks where three parallel grooves marred the grit—not train wheels." | | 3 | "A low-frequency vibration coursed through Harlow’s boots moments before distant iron screeched—the tell-tale sound of Underground brakes, except no trains ran this line after sunset." | | 4 | "“Don’t.” She jerked her chin toward the nearest sigil—the silver paint had begun bubbling, revealing charred tile beneath." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 546 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminated countless more figures" |
| | adverbCount | 14 | | adverbRatio | 0.02564102564102564 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.01098901098901099 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 12.29 | | std | 7.17 | | cv | 0.583 | | sampleLengths | | 0 | 25 | | 1 | 17 | | 2 | 14 | | 3 | 15 | | 4 | 14 | | 5 | 24 | | 6 | 8 | | 7 | 3 | | 8 | 10 | | 9 | 8 | | 10 | 22 | | 11 | 18 | | 12 | 11 | | 13 | 9 | | 14 | 9 | | 15 | 3 | | 16 | 8 | | 17 | 21 | | 18 | 5 | | 19 | 29 | | 20 | 8 | | 21 | 5 | | 22 | 2 | | 23 | 12 | | 24 | 20 | | 25 | 3 | | 26 | 4 | | 27 | 25 | | 28 | 7 | | 29 | 10 | | 30 | 15 | | 31 | 9 | | 32 | 14 | | 33 | 18 | | 34 | 9 | | 35 | 7 | | 36 | 17 | | 37 | 22 | | 38 | 6 | | 39 | 5 | | 40 | 9 | | 41 | 26 | | 42 | 10 | | 43 | 4 | | 44 | 25 | | 45 | 12 | | 46 | 7 | | 47 | 20 | | 48 | 4 | | 49 | 9 |
| |
| 81.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5098039215686274 | | totalSentences | 51 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 42 | | matches | | 0 | "she said, adjusting her spectacles" | | 1 | "She brushed gloved fingertips against" | | 2 | "She knelt, extending her pen" | | 3 | "Her radio crackled." | | 4 | "She played her torch over" | | 5 | "She yanked it free to" | | 6 | "She jerked her chin toward" | | 7 | "Its elongated fingers brushed the" | | 8 | "She shoved Eva toward the" |
| | ratio | 0.214 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 42 | | matches | | 0 | "The beam of her torch" | | 1 | "Eva Kowalski’s frantic voice echoed" | | 2 | "she said, adjusting her spectacles" | | 3 | "The velvet rope behind her" | | 4 | "Harlow flicked her torch beam" | | 5 | "Eva’s satchel straps creaked as" | | 6 | "She brushed gloved fingertips against" | | 7 | "The spray paint shimmered under" | | 8 | "A faint metallic tang prickled" | | 9 | "She knelt, extending her pen" | | 10 | "The measurement lines disappeared beneath" | | 11 | "Her radio crackled." | | 12 | "Harlow exchanged glances with Eva." | | 13 | "She played her torch over" | | 14 | "Something had been dragged toward" | | 15 | "Eva suddenly gripped her arm." | | 16 | "The Veil Compass in Harlow’s" | | 17 | "She yanked it free to" | | 18 | "Eva swallowed hard." | | 19 | "A low-frequency vibration coursed through" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Its elongated fingers brushed the yellow tape, which ignited instantly, flames racing upward in perfect parallel lines." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0.5 | | effectiveRatio | 0.118 | |