| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 894 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 44.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 894 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flicker" | | 1 | "electric" | | 2 | "eyebrow" | | 3 | "quivered" | | 4 | "magnetic" | | 5 | "trembled" | | 6 | "pulsed" | | 7 | "calculating" | | 8 | "shimmered" |
| |
| 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 | 59 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 885 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 54.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 679 | | uniqueNames | 7 | | maxNameDensity | 1.91 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 13 | | Tube | 1 | | Kowalski | 1 | | Eva | 11 | | Veil | 1 | | Compass | 1 | | Victorian | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Kowalski" | | 2 | "Eva" |
| | places | (empty) | | globalScore | 0.543 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.26 | | wordCount | 885 | | matches | | 0 | "not north, but downward, toward the cracks in the platform’s concrete" | | 1 | "not brick, but something darker" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 34.04 | | std | 21.32 | | cv | 0.626 | | sampleLengths | | 0 | 73 | | 1 | 50 | | 2 | 65 | | 3 | 19 | | 4 | 61 | | 5 | 12 | | 6 | 58 | | 7 | 39 | | 8 | 11 | | 9 | 43 | | 10 | 52 | | 11 | 6 | | 12 | 23 | | 13 | 43 | | 14 | 49 | | 15 | 11 | | 16 | 43 | | 17 | 10 | | 18 | 44 | | 19 | 24 | | 20 | 19 | | 21 | 41 | | 22 | 3 | | 23 | 66 | | 24 | 3 | | 25 | 17 |
| |
| 75.53% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 59 | | matches | | 0 | "was twisted" | | 1 | "been killed" | | 2 | "been reported" | | 3 | "been placed" | | 4 | "been placed" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 123 | | matches | | 0 | "wasn’t wearing" | | 1 | "was already pulling" | | 2 | "was already pulling" | | 3 | "was standing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 71 | | ratio | 0.085 | | matches | | 0 | "The abandoned Tube station reeked of mildew and something else—ozone, sharp and electric, like the moment before lightning strikes." | | 1 | "The victim—a man in his thirties, shirt torn and stained—hadn’t been killed by anything mundane." | | 2 | "The image showed the compass—the Veil Compass—lying half-buried in the debris near the body." | | 3 | "It hadn’t fallen from the victim’s pocket—he wasn’t wearing one." | | 4 | "“Because there were no other witnesses. Look.” She pointed to a section of the wall where the paint had chipped away, revealing not brick, but something darker—like stone veined with silver." | | 5 | "Through the widening crack, Quinn glimpsed a flicker of movement—something slipping through the darkness below." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 687 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.027656477438136828 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004366812227074236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 12.46 | | std | 8.17 | | cv | 0.656 | | sampleLengths | | 0 | 30 | | 1 | 19 | | 2 | 24 | | 3 | 15 | | 4 | 28 | | 5 | 7 | | 6 | 15 | | 7 | 15 | | 8 | 8 | | 9 | 27 | | 10 | 19 | | 11 | 9 | | 12 | 30 | | 13 | 22 | | 14 | 4 | | 15 | 8 | | 16 | 15 | | 17 | 14 | | 18 | 29 | | 19 | 4 | | 20 | 7 | | 21 | 14 | | 22 | 14 | | 23 | 8 | | 24 | 3 | | 25 | 10 | | 26 | 33 | | 27 | 9 | | 28 | 14 | | 29 | 4 | | 30 | 6 | | 31 | 1 | | 32 | 3 | | 33 | 10 | | 34 | 5 | | 35 | 6 | | 36 | 12 | | 37 | 11 | | 38 | 5 | | 39 | 31 | | 40 | 7 | | 41 | 6 | | 42 | 18 | | 43 | 25 | | 44 | 4 | | 45 | 7 | | 46 | 3 | | 47 | 8 | | 48 | 8 | | 49 | 24 |
| |
| 69.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.43661971830985913 | | totalSentences | 71 | | uniqueOpeners | 31 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Instead, his chest bore the" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 55 | | matches | | 0 | "Her curly red hair was" | | 1 | "She tapped the page where" | | 2 | "Its brass casing was tarnished," | | 3 | "It hadn’t been reported in" | | 4 | "Her eyes narrowed as she" | | 5 | "It hadn’t fallen from the" | | 6 | "It had been placed there." | | 7 | "She pointed to a section" | | 8 | "She was already pulling out" | | 9 | "Her voice was flat, but" | | 10 | "She pressed it against her" | | 11 | "He looked up." | | 12 | "he said, as if he’d" |
| | ratio | 0.236 | |
| 41.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 55 | | matches | | 0 | "The beam of Quinn’s flashlight" | | 1 | "The abandoned Tube station reeked" | | 2 | "Eva Kowalski stood by a" | | 3 | "Eva said, not looking up" | | 4 | "Her curly red hair was" | | 5 | "Quinn crouched beside the corpse," | | 6 | "The victim—a man in his" | | 7 | "Quinn asked, gloved fingers brushing" | | 8 | "Eva flipped a page in" | | 9 | "She tapped the page where" | | 10 | "Quinn raised an eyebrow." | | 11 | "Eva held up a photograph" | | 12 | "The image showed the compass—the" | | 13 | "Its brass casing was tarnished," | | 14 | "Quinn frowned, stepping closer." | | 15 | "The compass wasn’t supposed to" | | 16 | "It hadn’t been reported in" | | 17 | "Eva nodded, as if Quinn" | | 18 | "Quinn knelt again, this time" | | 19 | "Her eyes narrowed as she" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "Her curly red hair was twisted into a nervous bun at the nape of her neck, the freckles across her nose looking almost glowing in the dim light." | | 1 | "A low hum filled the air, and the compass needle spun wildly before settling on a direction that had nothing to do with magnetic north." | | 2 | "People in mismatched Victorian attire haggled over wares that shimmered with impossible colors." |
| |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, not looking up from the notebook in her satchel" | | 1 | "he said, as if he’d been expecting her" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.167 | | effectiveRatio | 0.087 | |