| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 639 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 21.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 639 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "the last thing" | | count | 1 |
| | 9 | |
| | highlights | | 0 | "gloom" | | 1 | "whisper" | | 2 | "stark" | | 3 | "furrowed" | | 4 | "scanning" | | 5 | "pounding" | | 6 | "etched" | | 7 | "racing" | | 8 | "the last thing" | | 9 | "determined" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 635 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 507 | | uniqueNames | 12 | | maxNameDensity | 1.38 | | worstName | "Thompson" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Thompson" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Detective | 2 | | Harlow | 1 | | Quinn | 5 | | Veil | 1 | | Compass | 1 | | Sergeant | 1 | | Thompson | 7 | | Kowalski | 1 | | Eva | 5 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Thompson" | | 4 | "Kowalski" | | 5 | "Eva" | | 6 | "Morris" |
| | places | (empty) | | globalScore | 0.81 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 635 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 52 | | matches | | |
| 84.91% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 39.69 | | std | 17.75 | | cv | 0.447 | | sampleLengths | | 0 | 66 | | 1 | 44 | | 2 | 64 | | 3 | 43 | | 4 | 24 | | 5 | 56 | | 6 | 53 | | 7 | 22 | | 8 | 18 | | 9 | 44 | | 10 | 22 | | 11 | 42 | | 12 | 69 | | 13 | 31 | | 14 | 12 | | 15 | 25 |
| |
| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 45 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 83 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 52 | | ratio | 0.077 | | matches | | 0 | "The air was thick with the scent of damp earth and something else—an acrid tang that prickled her nostrils." | | 1 | "The platform was empty save for a few forgotten artifacts—an old lantern, a stack of yellowed books, a small brass compass." | | 2 | "And there was that smell—acrid, like something burning." | | 3 | "Then she saw it—a faint scorch mark on the wall behind Eva, barely visible in the dim light." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 511 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.029354207436399216 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007827788649706457 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 12.21 | | std | 6.42 | | cv | 0.525 | | sampleLengths | | 0 | 31 | | 1 | 19 | | 2 | 16 | | 3 | 22 | | 4 | 13 | | 5 | 9 | | 6 | 10 | | 7 | 23 | | 8 | 11 | | 9 | 18 | | 10 | 2 | | 11 | 11 | | 12 | 21 | | 13 | 11 | | 14 | 13 | | 15 | 11 | | 16 | 3 | | 17 | 3 | | 18 | 10 | | 19 | 8 | | 20 | 9 | | 21 | 15 | | 22 | 8 | | 23 | 8 | | 24 | 18 | | 25 | 6 | | 26 | 18 | | 27 | 3 | | 28 | 22 | | 29 | 7 | | 30 | 11 | | 31 | 9 | | 32 | 24 | | 33 | 11 | | 34 | 10 | | 35 | 12 | | 36 | 9 | | 37 | 7 | | 38 | 26 | | 39 | 13 | | 40 | 8 | | 41 | 15 | | 42 | 12 | | 43 | 21 | | 44 | 8 | | 45 | 9 | | 46 | 9 | | 47 | 5 | | 48 | 7 | | 49 | 5 |
| |
| 70.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4807692307692308 | | totalSentences | 52 | | uniqueOpeners | 25 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Then she saw it—a faint" |
| | ratio | 0.023 | |
| 38.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 44 | | matches | | 0 | "She adjusted her grip on" | | 1 | "Her partner, Detective Sergeant Thompson," | | 2 | "He looked up as she" | | 3 | "he acknowledged, his voice barely" | | 4 | "She crouched beside the body," | | 5 | "She was dressed in jeans" | | 6 | "She looked closer at the" | | 7 | "She stood, her gaze scanning" | | 8 | "She stepped closer, her heart" | | 9 | "It was a sigil, one" | | 10 | "she said, her voice steady" | | 11 | "she cut him off, pointing" | | 12 | "She picked up the small" | | 13 | "she challenged, holding up the" | | 14 | "She pointed at the sigil" | | 15 | "She needed to call it" | | 16 | "She looked down at Eva," | | 17 | "She wouldn't let this go" | | 18 | "She wouldn't let Eva down." | | 19 | "She looked at him, her" |
| | ratio | 0.455 | |
| 39.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 44 | | matches | | 0 | "The air was thick with" | | 1 | "She adjusted her grip on" | | 2 | "Her partner, Detective Sergeant Thompson," | | 3 | "He looked up as she" | | 4 | "he acknowledged, his voice barely" | | 5 | "Quinn nodded, her sharp jaw" | | 6 | "She crouched beside the body," | | 7 | "Eva Kowalski, according to the" | | 8 | "She was dressed in jeans" | | 9 | "Quinn asked, her gaze sweeping" | | 10 | "The platform was empty save" | | 11 | "Nothing that seemed out of" | | 12 | "Thompson replied, running a hand" | | 13 | "Quinn's brow furrowed." | | 14 | "Something wasn't right." | | 15 | "She looked closer at the" | | 16 | "She stood, her gaze scanning" | | 17 | "She stepped closer, her heart" | | 18 | "It was a sigil, one" | | 19 | "A rift sigil." |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "The air was thick with the scent of damp earth and something else—an acrid tang that prickled her nostrils." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "he acknowledged, his voice barely above a whisper" | | 1 | "Quinn asked, her gaze sweeping over the scene" | | 2 | "she said, her voice steady despite the sudden surge of adrenaline," |
| |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "he acknowledged (acknowledge)" | | 1 | "she challenged (challenge)" |
| | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.4 | | effectiveRatio | 0.25 | |