| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 45 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.056 | | effectiveRatio | 0.044 | |
| 86.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1078 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "cautiously" | | 1 | "slowly" | | 2 | "sharply" |
| |
| 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) | |
| 30.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1078 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "etched" | | 1 | "scanning" | | 2 | "traced" | | 3 | "trembled" | | 4 | "shimmered" | | 5 | "loomed" | | 6 | "pulsed" | | 7 | "tracing" | | 8 | "disrupt" | | 9 | "echoed" | | 10 | "shattered" | | 11 | "silence" | | 12 | "flickered" |
| |
| 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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1076 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 18.94% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 763 | | uniqueNames | 8 | | maxNameDensity | 2.62 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Tube | 1 | | Harlow | 20 | | Quinn | 1 | | Veil | 2 | | Compass | 1 | | Kowalski | 1 | | Eva | 20 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Compass" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Market" |
| | places | (empty) | | globalScore | 0.189 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1076 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 29.89 | | std | 18.84 | | cv | 0.63 | | sampleLengths | | 0 | 75 | | 1 | 41 | | 2 | 72 | | 3 | 25 | | 4 | 46 | | 5 | 15 | | 6 | 40 | | 7 | 31 | | 8 | 46 | | 9 | 44 | | 10 | 13 | | 11 | 26 | | 12 | 41 | | 13 | 12 | | 14 | 37 | | 15 | 61 | | 16 | 11 | | 17 | 30 | | 18 | 6 | | 19 | 36 | | 20 | 43 | | 21 | 62 | | 22 | 5 | | 23 | 29 | | 24 | 13 | | 25 | 6 | | 26 | 31 | | 27 | 10 | | 28 | 45 | | 29 | 5 | | 30 | 25 | | 31 | 9 | | 32 | 28 | | 33 | 5 | | 34 | 23 | | 35 | 29 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 137 | | ratio | 0.015 | | matches | | 0 | "The air smelled of damp stone and something sharper—ozone, maybe, or burnt incense." | | 1 | "Inside, the space was vast—a chamber carved into the earth, its walls lined with mirrors." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 765 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03137254901960784 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01568627450980392 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 7.85 | | std | 4.98 | | cv | 0.635 | | sampleLengths | | 0 | 11 | | 1 | 22 | | 2 | 13 | | 3 | 12 | | 4 | 17 | | 5 | 12 | | 6 | 9 | | 7 | 7 | | 8 | 5 | | 9 | 8 | | 10 | 7 | | 11 | 6 | | 12 | 15 | | 13 | 16 | | 14 | 9 | | 15 | 6 | | 16 | 2 | | 17 | 2 | | 18 | 9 | | 19 | 10 | | 20 | 8 | | 21 | 7 | | 22 | 5 | | 23 | 7 | | 24 | 15 | | 25 | 12 | | 26 | 7 | | 27 | 2 | | 28 | 13 | | 29 | 4 | | 30 | 10 | | 31 | 18 | | 32 | 8 | | 33 | 2 | | 34 | 23 | | 35 | 6 | | 36 | 6 | | 37 | 11 | | 38 | 9 | | 39 | 18 | | 40 | 2 | | 41 | 3 | | 42 | 13 | | 43 | 14 | | 44 | 2 | | 45 | 4 | | 46 | 8 | | 47 | 2 | | 48 | 6 | | 49 | 5 |
| |
| 48.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3284671532846715 | | totalSentences | 137 | | uniqueOpeners | 45 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Just a small silver coin" | | 1 | "Somewhere beyond the horizon, the" |
| | ratio | 0.021 | |
| 89.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 95 | | matches | | 0 | "She adjusted her grip on" | | 1 | "Its brass casing was cool" | | 2 | "Her curly red hair stuck" | | 3 | "She clutched a worn leather" | | 4 | "Her freckled cheeks flushed as" | | 5 | "It was old, its edges" | | 6 | "She turned it over in" | | 7 | "She traced the edge of" | | 8 | "She glanced at Eva" | | 9 | "She gestured to the empty" | | 10 | "She pulled the compass from" | | 11 | "She pointed down a narrow" | | 12 | "They moved cautiously." | | 13 | "She trailed off" | | 14 | "She glanced at the ceiling" | | 15 | "It shimmered faintly." | | 16 | "She lifted the vial to" | | 17 | "She turned back to Eva" | | 18 | "They reached the end of" | | 19 | "She pulled out a small" |
| | ratio | 0.326 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 95 | | matches | | 0 | "Rain lashed against the rusted" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "The air smelled of damp" | | 3 | "She adjusted her grip on" | | 4 | "Its brass casing was cool" | | 5 | "Eva Kowalski hovered near the" | | 6 | "Her curly red hair stuck" | | 7 | "She clutched a worn leather" | | 8 | "Harlow nodded, stepping deeper into" | | 9 | "The walls were slick with" | | 10 | "A faint glow emanated from" | | 11 | "The victim wore a tattered" | | 12 | "Harlow knelt beside it, gloved" | | 13 | "The skin was cold but" | | 14 | "Eva asked, crouching on the" | | 15 | "Her freckled cheeks flushed as" | | 16 | "Harlow held up the coin." | | 17 | "It was old, its edges" | | 18 | "She turned it over in" | | 19 | "The sigils on the compass" |
| | ratio | 0.926 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 45 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0.667 | | effectiveRatio | 0.089 | |