| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 605 | | totalAiIsmAdverbs | 1 | | 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) | |
| 0.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 605 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "pulse" | | 3 | "shimmered" | | 4 | "echoed" | | 5 | "stomach" | | 6 | "fluttered" | | 7 | "whisper" | | 8 | "flicked" | | 9 | "trembled" | | 10 | "flickered" | | 11 | "footsteps" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 27 | | totalWords | 599 | | ratio | 0.045 | | matches | | 0 | "her suspect" | | 1 | "Not blood. Not yet." | | 2 | "Supernatural. Or paranoid." | | 3 | "Magic." | | 4 | "alive." | | 5 | "a man, but not quite" | | 6 | "This wasn’t a crime scene. This was a ritual." | | 7 | "thud" | | 8 | "interesting." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 36.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 530 | | uniqueNames | 3 | | maxNameDensity | 2.26 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Tomás" |
| | places | (empty) | | globalScore | 0.368 | | windowScore | 0.667 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like it was holding its breath" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 599 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 26.04 | | std | 23.75 | | cv | 0.912 | | sampleLengths | | 0 | 1 | | 1 | 71 | | 2 | 64 | | 3 | 68 | | 4 | 3 | | 5 | 71 | | 6 | 21 | | 7 | 17 | | 8 | 7 | | 9 | 20 | | 10 | 42 | | 11 | 17 | | 12 | 8 | | 13 | 12 | | 14 | 52 | | 15 | 6 | | 16 | 40 | | 17 | 7 | | 18 | 12 | | 19 | 39 | | 20 | 16 | | 21 | 3 | | 22 | 2 |
| |
| 86.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 56 | | matches | | 0 | "were lined" | | 1 | "was covered" | | 2 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 91 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 65 | | ratio | 0.108 | | matches | | 0 | "The suspect—*her suspect*—was a shadow slipping between the crates of discarded pallets, his breath shallow, his movements too precise to be human." | | 1 | "The stench hit her first—copper and something sour, like spoiled meat." | | 2 | "The suspect—*a man, but not quite*—turned." | | 3 | "The table was covered in items she didn’t recognise—vials of dark liquid, bones arranged in patterns, a single silver key that glinted unnaturally." | | 4 | "A noise cut through the air—a wet *thud*, like something heavy hitting the ground." | | 5 | "The air around him rippled, and suddenly, Tomás was gone—replaced by a pile of clothes, a medallion dangling from a frayed thread." | | 6 | "In the sudden darkness, she heard it—the sound of footsteps, too many to count, approaching from every direction." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 537 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.035381750465549346 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0111731843575419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 9.2 | | std | 6.28 | | cv | 0.683 | | sampleLengths | | 0 | 22 | | 1 | 17 | | 2 | 4 | | 3 | 22 | | 4 | 6 | | 5 | 15 | | 6 | 14 | | 7 | 14 | | 8 | 21 | | 9 | 18 | | 10 | 2 | | 11 | 11 | | 12 | 3 | | 13 | 2 | | 14 | 22 | | 15 | 7 | | 16 | 1 | | 17 | 2 | | 18 | 3 | | 19 | 12 | | 20 | 19 | | 21 | 13 | | 22 | 12 | | 23 | 3 | | 24 | 12 | | 25 | 6 | | 26 | 15 | | 27 | 11 | | 28 | 6 | | 29 | 4 | | 30 | 3 | | 31 | 11 | | 32 | 9 | | 33 | 3 | | 34 | 4 | | 35 | 23 | | 36 | 3 | | 37 | 5 | | 38 | 4 | | 39 | 9 | | 40 | 8 | | 41 | 6 | | 42 | 2 | | 43 | 5 | | 44 | 7 | | 45 | 14 | | 46 | 14 | | 47 | 15 | | 48 | 2 | | 49 | 7 |
| |
| 50.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3384615384615385 | | totalSentences | 65 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 50 | | matches | | 0 | "She didn’t look back." | | 1 | "She’d carried it through enough" | | 2 | "Her pulse jumped." | | 3 | "She exhaled through her nose," | | 4 | "She stepped forward." | | 5 | "His face was half-hidden in" | | 6 | "he said, his voice a" | | 7 | "She raised her pistol." | | 8 | "He laughed, a sound that" | | 9 | "She didn’t need to." | | 10 | "Her stomach twisted." | | 11 | "His smile was slow, deliberate." | | 12 | "His eyes fluttered open, his" | | 13 | "He snapped his fingers" |
| | ratio | 0.28 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 50 | | matches | | 0 | "The alleyway stank of wet" | | 1 | "Quinn’s boots splashed through a" | | 2 | "She didn’t look back." | | 3 | "The suspect—*her suspect*—was a shadow" | | 4 | "A car horn blared somewhere" | | 5 | "The city never slept, but" | | 6 | "Quinn’s gloved fingers tightened around" | | 7 | "She’d carried it through enough" | | 8 | "The suspect ducked into a" | | 9 | "The stench hit her first—copper" | | 10 | "Her pulse jumped." | | 11 | "She exhaled through her nose," | | 12 | "She stepped forward." | | 13 | "The passage opened into a" | | 14 | "The walls were lined with" | | 15 | "The air shimmered around him," | | 16 | "Quinn’s breath caught." | | 17 | "*Magic.* She’d seen it before," | | 18 | "The suspect—*a man, but not" | | 19 | "His face was half-hidden in" |
| | ratio | 0.92 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "The alleyway stank of wet concrete and something older, something that clung to the air like the memory of a bad dream." | | 1 | "Quinn’s boots splashed through a puddle that had already absorbed the glow of the flickering streetlamp above." | | 2 | "The table was covered in items she didn’t recognise—vials of dark liquid, bones arranged in patterns, a single silver key that glinted unnaturally." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice a rasp, like gravel underfoot" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.5 | | effectiveRatio | 0.154 | |