| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "I corrected quietly [quietly]" |
| | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.111 | | effectiveRatio | 0.071 | |
| 90.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1105 | | 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) | |
| 41.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1105 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "variable" | | 2 | "gloom" | | 3 | "warmth" | | 4 | "etched" | | 5 | "tracing" | | 6 | "silence" | | 7 | "footsteps" | | 8 | "intensity" | | 9 | "pulsed" | | 10 | "weight" | | 11 | "maw" | | 12 | "shattered" |
| |
| 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 | 52 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 52 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" | | 2 | "began to" |
| |
| 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 | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1103 | | 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 | 767 | | uniqueNames | 6 | | maxNameDensity | 0.78 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Quinn | 6 | | Veil | 3 | | Compass | 3 | | Morris | 1 |
| | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a tomb that had been robbed," |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1103 | | matches | (empty) | |
| 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 | 34 | | mean | 32.44 | | std | 23.02 | | cv | 0.709 | | sampleLengths | | 0 | 38 | | 1 | 25 | | 2 | 13 | | 3 | 9 | | 4 | 75 | | 5 | 42 | | 6 | 44 | | 7 | 15 | | 8 | 58 | | 9 | 9 | | 10 | 29 | | 11 | 58 | | 12 | 51 | | 13 | 47 | | 14 | 1 | | 15 | 69 | | 16 | 23 | | 17 | 28 | | 18 | 63 | | 19 | 12 | | 20 | 28 | | 21 | 3 | | 22 | 30 | | 23 | 36 | | 24 | 42 | | 25 | 16 | | 26 | 11 | | 27 | 2 | | 28 | 3 | | 29 | 80 | | 30 | 36 | | 31 | 6 | | 32 | 25 | | 33 | 76 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 52 | | matches | | 0 | "were inverted" | | 1 | "been robbed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 125 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 71 | | ratio | 0.014 | | matches | | 0 | "Pinned against a rusted maintenance ladder was a coat—a heavy, woollen trench coat that looked suspiciously like the one Morris had been wearing in the last file photos I had seen of him." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 773 | | adjectiveStacks | 1 | | stackExamples | | 0 | "brilliant, blinding white light." |
| | adverbCount | 17 | | adverbRatio | 0.02199223803363519 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009055627425614488 | |
| 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 | 15.54 | | std | 7.9 | | cv | 0.509 | | sampleLengths | | 0 | 14 | | 1 | 24 | | 2 | 13 | | 3 | 12 | | 4 | 13 | | 5 | 9 | | 6 | 12 | | 7 | 12 | | 8 | 4 | | 9 | 28 | | 10 | 19 | | 11 | 9 | | 12 | 33 | | 13 | 12 | | 14 | 15 | | 15 | 17 | | 16 | 15 | | 17 | 23 | | 18 | 14 | | 19 | 21 | | 20 | 9 | | 21 | 11 | | 22 | 18 | | 23 | 13 | | 24 | 9 | | 25 | 4 | | 26 | 13 | | 27 | 19 | | 28 | 20 | | 29 | 31 | | 30 | 13 | | 31 | 15 | | 32 | 19 | | 33 | 1 | | 34 | 17 | | 35 | 24 | | 36 | 28 | | 37 | 23 | | 38 | 28 | | 39 | 17 | | 40 | 13 | | 41 | 6 | | 42 | 4 | | 43 | 23 | | 44 | 12 | | 45 | 15 | | 46 | 13 | | 47 | 3 | | 48 | 30 | | 49 | 12 |
| |
| 74.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4788732394366197 | | totalSentences | 71 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 50 | | matches | | 0 | "I ducked beneath a flickering" | | 1 | "It wasn't just chalk." | | 2 | "she added, her sharp jaw" | | 3 | "I knelt, reaching into my" | | 4 | "Its needle spun in a" | | 5 | "She adjusted the worn leather" | | 6 | "She laughed, a short, dry" | | 7 | "I ignored the dismissal, focusing" | | 8 | "They were inverted, yes, but" | | 9 | "They were feeding it." | | 10 | "I stood up, feeling the" | | 11 | "I corrected quietly, tracing the" | | 12 | "She pulled a small flashlight" | | 13 | "I walked toward the edge" | | 14 | "I tucked a lock of" | | 15 | "We crossed into the tunnel," | | 16 | "I held the Veil Compass" | | 17 | "It pointed straight ahead, deeper" | | 18 | "We rounded a sharp curve" | | 19 | "My breath hitched in my" |
| | ratio | 0.58 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 50 | | matches | | 0 | "The heavy iron door of" | | 1 | "I ducked beneath a flickering" | | 2 | "Harlow Quinn remarked, not turning" | | 3 | "Quinn pointed a gloved finger" | | 4 | "A jagged circle, roughly six" | | 5 | "It wasn't just chalk." | | 6 | "The lines hummed with a" | | 7 | "she added, her sharp jaw" | | 8 | "I knelt, reaching into my" | | 9 | "Its needle spun in a" | | 10 | "The verdigris on the casing" | | 11 | "Quinn replied, pacing the perimeter" | | 12 | "She adjusted the worn leather" | | 13 | "She laughed, a short, dry" | | 14 | "I ignored the dismissal, focusing" | | 15 | "They were inverted, yes, but" | | 16 | "They were feeding it." | | 17 | "I stood up, feeling the" | | 18 | "The air felt heavy, like" | | 19 | "I corrected quietly, tracing the" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "The lines hummed with a low, dissonant frequency that made the hair on the back of my neck stand up, prickling like static electricity before a summer storm." | | 1 | "The station felt like a tomb that had been robbed, the shadows stretching and pulling against the walls with a life of their own." | | 2 | "Pinned against a rusted maintenance ladder was a coat—a heavy, woollen trench coat that looked suspiciously like the one Morris had been wearing in the last fil…" | | 3 | "It didn't have eyes, but I felt the weight of its attention press against my mind, a cold, crushing pressure that made my vision dim." | | 4 | "The Veil Compass in my hand grew scorching, the sigils on its face flaring with a brilliant, blinding white light." | | 5 | "My feet slipped on the slick tiles, and for a second, I felt the ground vanish beneath me, replaced by an infinite, hollow hunger that screamed of a thousand lo…" |
| |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Harlow Quinn remarked, not turning away from the chalk-dusted floor" | | 1 | "she added, her sharp jaw tight" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 7 | | fancyTags | | 0 | "she added (add)" | | 1 | "She laughed (laugh)" | | 2 | "I corrected quietly (correct)" | | 3 | "I whispered (whisper)" | | 4 | "she hissed (hiss)" | | 5 | "she confirmed (confirm)" | | 6 | "she shouted (shout)" |
| | dialogueSentences | 28 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.875 | | effectiveRatio | 0.5 | |