| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 38 | | tagDensity | 0.395 | | leniency | 0.789 | | rawRatio | 0.067 | | effectiveRatio | 0.053 | |
| 95.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1042 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 85.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1042 | | totalAiIsms | 3 | | found | | 0 | | word | "the last thing" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "the last thing" | | 1 | "scanned" | | 2 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "clenched her fist" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 98.06% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0.008 | | matches | | 0 | "Harlow pressed her palm to the cold concrete of the Tube entrance, the bone token—curved,像是被啃过的象牙—digging into her skin." |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 29 | | totalWords | 1026 | | ratio | 0.028 | | matches | | 0 | "flexible" | | 1 | "here" | | 2 | "unauthorized" | | 3 | "message" | | 4 | "Shade bone" | | 5 | "Where’d this come from?" | | 6 | "You saw too much" | | 7 | "remembers" | | 8 | "angry" | | 9 | "consume" | | 10 | "bones" | | 11 | "“Eva.”" | | 12 | "“Magic’s real, Harlow. You just don’t want to see it.”" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 11.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 688 | | uniqueNames | 7 | | maxNameDensity | 2.76 | | worstName | "Harlow" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Voss | 9 | | Veil | 3 | | Market | 3 | | Morris | 2 | | Harlow | 19 | | Eva | 3 |
| | persons | | 0 | "Voss" | | 1 | "Market" | | 2 | "Morris" | | 3 | "Harlow" | | 4 | "Eva" |
| | places | | | globalScore | 0.119 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.975 | | wordCount | 1026 | | matches | | 0 | "not unusual in the Veil Market’s casual trade, but the color was wrong" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 23.32 | | std | 19.46 | | cv | 0.834 | | sampleLengths | | 0 | 59 | | 1 | 1 | | 2 | 57 | | 3 | 72 | | 4 | 4 | | 5 | 25 | | 6 | 49 | | 7 | 7 | | 8 | 26 | | 9 | 28 | | 10 | 62 | | 11 | 17 | | 12 | 32 | | 13 | 50 | | 14 | 7 | | 15 | 5 | | 16 | 4 | | 17 | 21 | | 18 | 39 | | 19 | 39 | | 20 | 10 | | 21 | 18 | | 22 | 1 | | 23 | 39 | | 24 | 7 | | 25 | 2 | | 26 | 30 | | 27 | 6 | | 28 | 31 | | 29 | 30 | | 30 | 11 | | 31 | 9 | | 32 | 60 | | 33 | 42 | | 34 | 29 | | 35 | 10 | | 36 | 18 | | 37 | 3 | | 38 | 3 | | 39 | 29 | | 40 | 16 | | 41 | 9 | | 42 | 8 | | 43 | 1 |
| |
| 91.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 105 | | matches | | 0 | "was curled" | | 1 | "was gone" | | 2 | "was gone" | | 3 | "was gone" |
| |
| 43.75% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 128 | | matches | | 0 | "were breathing" | | 1 | "was waiting" | | 2 | "was burning" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 128 | | ratio | 0.07 | | matches | | 0 | "Harlow pressed her palm to the cold concrete of the Tube entrance, the bone token—curved,像是被啃过的象牙—digging into her skin." | | 1 | "Camden’s morning noise seeped through the grate: a bus rumbled, a child wailed, a vendor’s voice cut through, “Steak pies! Fresh out the oven!” But down here, the hum was different—thicker, as if the walls were breathing." | | 2 | "The body was naked, not unusual in the Veil Market’s casual trade, but the color was wrong—pale, almost gray, like ash." | | 3 | "Her fingers brushed the throat; the skin was cold, but not rigor mortis." | | 4 | "But the body wasn’t stiff—it was *flexible*, as if someone had moved it after." | | 5 | "The smudge shifted, rippling, then solidified into a sigil—angular, with a central eye." | | 6 | "A single, small bone—white, smooth—rested in the palm." | | 7 | "Her watch—leather, worn thin at the edges—ticked against her wrist." | | 8 | "But the sigil was burning on her palm—bright, hot, a brand." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 702 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.027065527065527065 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014245014245014246 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 8.02 | | std | 7.19 | | cv | 0.897 | | sampleLengths | | 0 | 4 | | 1 | 18 | | 2 | 37 | | 3 | 1 | | 4 | 10 | | 5 | 16 | | 6 | 10 | | 7 | 21 | | 8 | 2 | | 9 | 21 | | 10 | 2 | | 11 | 3 | | 12 | 13 | | 13 | 17 | | 14 | 14 | | 15 | 4 | | 16 | 4 | | 17 | 10 | | 18 | 11 | | 19 | 3 | | 20 | 13 | | 21 | 3 | | 22 | 4 | | 23 | 20 | | 24 | 6 | | 25 | 2 | | 26 | 5 | | 27 | 11 | | 28 | 8 | | 29 | 7 | | 30 | 17 | | 31 | 11 | | 32 | 2 | | 33 | 15 | | 34 | 22 | | 35 | 5 | | 36 | 18 | | 37 | 2 | | 38 | 15 | | 39 | 3 | | 40 | 4 | | 41 | 5 | | 42 | 5 | | 43 | 4 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 3 | | 48 | 8 | | 49 | 4 |
| |
| 60.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3858267716535433 | | totalSentences | 127 | | uniqueOpeners | 49 | |
| 41.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 80 | | matches | | 0 | "Just a note scrawled in" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 80 | | matches | | 0 | "His uniform was crisp, but" | | 1 | "He nodded at the prone" | | 2 | "Her fingers brushed the throat;" | | 3 | "She recognised it." | | 4 | "It heated, just for a" | | 5 | "She scanned the market: vendors" | | 6 | "It was a *message*." | | 7 | "She knelt again." | | 8 | "She pried them open." | | 9 | "Her watch—leather, worn thin at" | | 10 | "He’d laughed, when she’d teased" | | 11 | "She’d found his body three" | | 12 | "She was gone." | | 13 | "He leaned in, lowering his" | | 14 | "He paused, then added" | | 15 | "She turned away." | | 16 | "She held up a finger," | | 17 | "Her best friend, the one" | | 18 | "She’d seen too much." |
| | ratio | 0.238 | |
| 47.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 80 | | matches | | 0 | "The lock clicked open." | | 1 | "Harlow pressed her palm to" | | 2 | "Camden’s morning noise seeped through" | | 3 | "DS Voss turned from where" | | 4 | "His uniform was crisp, but" | | 5 | "He nodded at the prone" | | 6 | "The body was naked, not" | | 7 | "Her fingers brushed the throat;" | | 8 | "Rigor was already starting, so" | | 9 | "Voss followed her gaze." | | 10 | "A smudge on the left" | | 11 | "Harlow leaned closer." | | 12 | "The smudge shifted, rippling, then" | | 13 | "She recognised it." | | 14 | "The last thing he’d ever" | | 15 | "Harlow pressed a finger to" | | 16 | "It heated, just for a" | | 17 | "Voss kicked a piece of" | | 18 | "She scanned the market: vendors" | | 19 | "A woman with a fox’s" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Camden’s morning noise seeped, a child wailed, a vendor’s voice cut through," | | 1 | "Harlow walked, her boots clanging on the concrete" |
| |
| 71.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "Harlow pressed (press)" | | 1 | "He’d (would)" | | 2 | "Harlow had (have)" |
| | dialogueSentences | 38 | | tagDensity | 0.237 | | leniency | 0.474 | | rawRatio | 0.333 | | effectiveRatio | 0.158 | |