| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 639 | | 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) | |
| 29.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 639 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "shattered" | | 1 | "glinting" | | 2 | "silence" | | 3 | "flicked" | | 4 | "vibrated" | | 5 | "racing" | | 6 | "pulsed" | | 7 | "whisper" |
| |
| 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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 8 | | totalWords | 635 | | ratio | 0.013 | | matches | | 0 | "them" | | 1 | "split" | | 2 | "absorbed" | | 3 | "You don’t belong here, Detective." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 610 | | uniqueNames | 6 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Herrera | 8 | | Quinn | 9 | | Saint | 2 | | Christopher | 2 | | Morris | 1 | | Glock | 1 |
| | persons | | 0 | "Herrera" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.762 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like ozone and burnt rubber" | | 1 | "something between a scowl and a grin" | | 2 | "something like old pennies" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 635 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 22.68 | | std | 18.51 | | cv | 0.816 | | sampleLengths | | 0 | 54 | | 1 | 50 | | 2 | 37 | | 3 | 16 | | 4 | 47 | | 5 | 42 | | 6 | 16 | | 7 | 33 | | 8 | 4 | | 9 | 2 | | 10 | 7 | | 11 | 47 | | 12 | 52 | | 13 | 55 | | 14 | 10 | | 15 | 22 | | 16 | 7 | | 17 | 9 | | 18 | 4 | | 19 | 24 | | 20 | 3 | | 21 | 39 | | 22 | 24 | | 23 | 5 | | 24 | 10 | | 25 | 6 | | 26 | 6 | | 27 | 4 |
| |
| 99.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 114 | | matches | | 0 | "were already retreating" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 66 | | ratio | 0.076 | | matches | | 0 | "Quinn moved forward, her boots splashing through a puddle that wasn’t water—it was thick and viscous, clinging to her soles with every step." | | 1 | "Not cracked—*split*—as if something beneath had stretched too wide, too fast." | | 2 | "They left behind a scent—ozone, burnt hair, something like old pennies." | | 3 | "All of it—vanished like it had never been." | | 4 | "A whisper slithered up from the sewer grate at her feet—Herrera’s voice, but deeper, layered, as if spoken by a dozen throats at once." |
| |
| 99.37% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 614 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.04071661237785016 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006514657980456026 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 9.62 | | std | 6.91 | | cv | 0.718 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 11 | | 3 | 23 | | 4 | 16 | | 5 | 5 | | 6 | 6 | | 7 | 8 | | 8 | 24 | | 9 | 5 | | 10 | 14 | | 11 | 2 | | 12 | 3 | | 13 | 14 | | 14 | 13 | | 15 | 17 | | 16 | 26 | | 17 | 16 | | 18 | 9 | | 19 | 7 | | 20 | 3 | | 21 | 10 | | 22 | 20 | | 23 | 4 | | 24 | 2 | | 25 | 7 | | 26 | 11 | | 27 | 19 | | 28 | 17 | | 29 | 6 | | 30 | 21 | | 31 | 3 | | 32 | 3 | | 33 | 19 | | 34 | 22 | | 35 | 11 | | 36 | 11 | | 37 | 2 | | 38 | 2 | | 39 | 3 | | 40 | 4 | | 41 | 10 | | 42 | 7 | | 43 | 10 | | 44 | 5 | | 45 | 7 | | 46 | 9 | | 47 | 4 | | 48 | 5 | | 49 | 2 |
| |
| 53.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4090909090909091 | | totalSentences | 66 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 55 | | matches | | 0 | "Just a single black feather," | | 1 | "Then it went still." | | 2 | "Just a dark hole now," |
| | ratio | 0.055 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 55 | | matches | | 0 | "Her first shot went wide," | | 1 | "She wasn’t here to hallucinate." | | 2 | "She was here to arrest" | | 3 | "She fired again, this time" | | 4 | "She closed the distance between" | | 5 | "She stumbled, nearly losing her" | | 6 | "He didn’t scream." | | 7 | "He didn’t struggle." | | 8 | "He *absorbed* them, his body" | | 9 | "They left behind a scent—ozone," | | 10 | "She bent down, picked up" | | 11 | "It pulsed once against her" | | 12 | "She straightened, her breath fogging" | | 13 | "*You don’t belong here, Detective.*" | | 14 | "She didn’t lower it." | | 15 | "She stepped forward, into the" |
| | ratio | 0.291 | |
| 78.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 55 | | matches | | 0 | "Her first shot went wide," | | 1 | "The recoil jarred her shoulder," | | 2 | "The severed hand rolled across" | | 3 | "Quinn moved forward, her boots" | | 4 | "The psychotropic venom still fogged" | | 5 | "She wasn’t here to hallucinate." | | 6 | "She was here to arrest" | | 7 | "Herrera kicked the table over," | | 8 | "Shadows writhed like living things." | | 9 | "Herrera shouted over the sudden" | | 10 | "Quinn didn’t answer." | | 11 | "She fired again, this time" | | 12 | "The Saint Christopher shattered, its" | | 13 | "Herrera gasped, clutching his chest" | | 14 | "She closed the distance between" | | 15 | "The impact sent more of" | | 16 | "Quinn demanded, her voice low" | | 17 | "Herrera’s breath hitched." | | 18 | "The chamber’s domed ceiling had" | | 19 | "The fireflies poured out in" |
| | ratio | 0.764 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 10.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 5 | | matches | | 0 | "Quinn moved forward, her boots splashing through a puddle that wasn’t water—it was thick and viscous, clinging to her soles with every step." | | 1 | "Herrera gasped, clutching his chest as if struck, but his eyes burned with something deeper than pain." | | 2 | "The air hummed, a frequency that vibrated in Quinn’s teeth, her fillings, the marrow of her bones." | | 3 | "He *absorbed* them, his body glowing from within, his dark skin illuminated in flickering highlights of amber and crimson." | | 4 | "Quinn raised her weapon again, but the fireflies were already retreating, withdrawing back into the dome as if pulled by invisible strings." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn demanded, her voice low and raw" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Herrera shouted (shout)" | | 1 | "Quinn demanded (demand)" |
| | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |