| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 620 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 620 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "symphony" | | 1 | "chill" | | 2 | "glinting" | | 3 | "cascading" | | 4 | "pounding" | | 5 | "echoing" | | 6 | "beacon" | | 7 | "gloom" | | 8 | "stark" | | 9 | "weight" | | 10 | "gleaming" | | 11 | "otherworldly" | | 12 | "tension" | | 13 | "silence" |
| |
| 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 | 1 | | narrationSentences | 50 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 50 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 618 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 607 | | uniqueNames | 10 | | maxNameDensity | 0.99 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 6 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | 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 | 618 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 50 | | matches | | |
| 24.96% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 51.5 | | std | 12.22 | | cv | 0.237 | | sampleLengths | | 0 | 78 | | 1 | 55 | | 2 | 50 | | 3 | 54 | | 4 | 63 | | 5 | 58 | | 6 | 48 | | 7 | 52 | | 8 | 38 | | 9 | 38 | | 10 | 55 | | 11 | 29 |
| |
| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 66.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 100 | | matches | | 0 | "was weaving" | | 1 | "was arguing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 88 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.011363636363636364 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 50 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 50 | | mean | 12.36 | | std | 6.18 | | cv | 0.5 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 17 | | 3 | 25 | | 4 | 19 | | 5 | 15 | | 6 | 21 | | 7 | 21 | | 8 | 18 | | 9 | 11 | | 10 | 8 | | 11 | 6 | | 12 | 13 | | 13 | 4 | | 14 | 14 | | 15 | 9 | | 16 | 12 | | 17 | 10 | | 18 | 13 | | 19 | 16 | | 20 | 12 | | 21 | 19 | | 22 | 19 | | 23 | 20 | | 24 | 11 | | 25 | 27 | | 26 | 3 | | 27 | 3 | | 28 | 4 | | 29 | 23 | | 30 | 15 | | 31 | 5 | | 32 | 9 | | 33 | 8 | | 34 | 9 | | 35 | 7 | | 36 | 7 | | 37 | 7 | | 38 | 11 | | 39 | 13 | | 40 | 14 | | 41 | 15 | | 42 | 12 | | 43 | 15 | | 44 | 13 | | 45 | 15 | | 46 | 7 | | 47 | 2 | | 48 | 2 | | 49 | 3 |
| |
| 42.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.36 | | totalSentences | 50 | | uniqueOpeners | 18 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Then a shout, a scuffle," |
| | ratio | 0.021 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 48 | | matches | | 0 | "He glanced back, eyes wild," | | 1 | "She knew what lay beneath" | | 2 | "She'd heard whispers of it," | | 3 | "She stepped into the station," | | 4 | "She pressed the token into" | | 5 | "He was weaving through the" | | 6 | "He was scared." | | 7 | "She followed him down a" | | 8 | "He ducked into a doorway," | | 9 | "She could hear voices from" | | 10 | "She pressed herself against the" | | 11 | "She took a deep breath," | | 12 | "She could walk away, leave" | | 13 | "Her hand closed around the" | | 14 | "She thought of Morris, her" | | 15 | "She thought of the clique," | | 16 | "She thought of the truth," | | 17 | "She stepped into the doorway," |
| | ratio | 0.375 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 48 | | matches | | 0 | "The rain pounded the cobbled" | | 1 | "Detective Harlow Quinn, her salt-and-pepper" | | 2 | "The suspect, a slippery figure" | | 3 | "Quinn's breath misted in the" | | 4 | "The chase had begun at" | | 5 | "Quinn had watched from the" | | 6 | "The moment the suspect had" | | 7 | "The suspect stood at the" | | 8 | "He glanced back, eyes wild," | | 9 | "Quinn hesitated, her heart pounding" | | 10 | "She knew what lay beneath" | | 11 | "The Veil Market, a hidden" | | 12 | "Tonight was the night." | | 13 | "She'd heard whispers of it," | | 14 | "She stepped into the station," | | 15 | "The air grew colder, heavier," | | 16 | "The bone token glowed faintly" | | 17 | "She pressed the token into" | | 18 | "The market was a riot" | | 19 | "Stalls groaned under the weight" |
| | ratio | 0.833 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 48 | | matches | | 0 | "Now, the chase had led" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |