| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1038 | | 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) | |
| 32.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1038 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "footfall" | | 1 | "flicker" | | 2 | "fleeting" | | 3 | "glint" | | 4 | "electric" | | 5 | "pulsed" | | 6 | "footsteps" | | 7 | "shimmered" | | 8 | "gleaming" | | 9 | "shattered" | | 10 | "gloom" | | 11 | "fractured" | | 12 | "pulse" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 0 | | narrationSentences | 145 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1025 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 1018 | | uniqueNames | 7 | | maxNameDensity | 0.29 | | worstName | "Morris" | | maxWindowNameDensity | 1 | | worstWindowName | "Market" | | discoveredNames | | Camden | 1 | | Morris | 3 | | Tube | 1 | | French | 1 | | Market | 3 | | German | 1 | | Raiders | 2 |
| | persons | | 0 | "Camden" | | 1 | "Morris" | | 2 | "Market" | | 3 | "Raiders" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | 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 | 1025 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 21.35 | | std | 14.15 | | cv | 0.663 | | sampleLengths | | 0 | 5 | | 1 | 20 | | 2 | 25 | | 3 | 8 | | 4 | 47 | | 5 | 24 | | 6 | 39 | | 7 | 36 | | 8 | 24 | | 9 | 29 | | 10 | 21 | | 11 | 35 | | 12 | 32 | | 13 | 37 | | 14 | 23 | | 15 | 38 | | 16 | 18 | | 17 | 45 | | 18 | 21 | | 19 | 36 | | 20 | 3 | | 21 | 8 | | 22 | 37 | | 23 | 2 | | 24 | 3 | | 25 | 21 | | 26 | 19 | | 27 | 18 | | 28 | 15 | | 29 | 2 | | 30 | 44 | | 31 | 49 | | 32 | 22 | | 33 | 9 | | 34 | 4 | | 35 | 19 | | 36 | 3 | | 37 | 33 | | 38 | 6 | | 39 | 4 | | 40 | 41 | | 41 | 29 | | 42 | 30 | | 43 | 6 | | 44 | 12 | | 45 | 20 | | 46 | 1 | | 47 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 221 | | matches | (empty) | |
| 45.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 146 | | ratio | 0.034 | | matches | | 0 | "He sprinted past a rusting fire escape; she tracked the black of his coat, the fleeting glint of bone token." | | 1 | "She shoved—wall slid, revealing a narrow passage and a sliver of low electric light." | | 2 | "Their buyer—the man from above—slid past her hiding place behind stacked crates." | | 3 | "The trader shoved boxes aside; vials shattered, sparks hissed." | | 4 | "Stallholders fled; raiders roared." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1031 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02133850630455868 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009699321047526673 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 7.02 | | std | 3.76 | | cv | 0.535 | | sampleLengths | | 0 | 5 | | 1 | 20 | | 2 | 13 | | 3 | 12 | | 4 | 1 | | 5 | 7 | | 6 | 6 | | 7 | 13 | | 8 | 11 | | 9 | 2 | | 10 | 10 | | 11 | 5 | | 12 | 9 | | 13 | 7 | | 14 | 4 | | 15 | 4 | | 16 | 20 | | 17 | 4 | | 18 | 5 | | 19 | 6 | | 20 | 4 | | 21 | 7 | | 22 | 6 | | 23 | 7 | | 24 | 6 | | 25 | 10 | | 26 | 6 | | 27 | 5 | | 28 | 4 | | 29 | 2 | | 30 | 7 | | 31 | 11 | | 32 | 8 | | 33 | 10 | | 34 | 7 | | 35 | 11 | | 36 | 3 | | 37 | 7 | | 38 | 14 | | 39 | 9 | | 40 | 5 | | 41 | 4 | | 42 | 8 | | 43 | 7 | | 44 | 13 | | 45 | 9 | | 46 | 5 | | 47 | 8 | | 48 | 5 | | 49 | 10 |
| |
| 72.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4452054794520548 | | totalSentences | 146 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 130 | | matches | | 0 | "Too soon, too sudden." | | 1 | "Then a clipped woman’s voice" | | 2 | "Then the ground shuddered." | | 3 | "Somewhere deep, a guttural chant" |
| | ratio | 0.031 | |
| 72.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 130 | | matches | | 0 | "She vaulted the waist-high barrier." | | 1 | "He dragged one hand along" | | 2 | "She recognised the flicker of" | | 3 | "she shouted, voice lost in" | | 4 | "He slipped into a narrow" | | 5 | "She pivoted, planted her boot" | | 6 | "He kicked over a bin," | | 7 | "She tensed her shoulders, military" | | 8 | "She refused another failure." | | 9 | "He sprinted past a rusting" | | 10 | "He leapt, she followed." | | 11 | "He yanked it free and" | | 12 | "She slammed her palm down," | | 13 | "She switched on her torch," | | 14 | "He lit a match halfway" | | 15 | "She counted his steps." | | 16 | "She took a breath, toggled" | | 17 | "He paused at a landing," | | 18 | "She pressed forward." | | 19 | "She shoved—wall slid, revealing a" |
| | ratio | 0.369 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 130 | | matches | | 0 | "She vaulted the waist-high barrier." | | 1 | "Rain slicked Camden’s pavement as" | | 2 | "He dragged one hand along" | | 3 | "She recognised the flicker of" | | 4 | "she shouted, voice lost in" | | 5 | "He slipped into a narrow" | | 6 | "She pivoted, planted her boot" | | 7 | "Brick walls closed in, graffiti" | | 8 | "He kicked over a bin," | | 9 | "A distant scream skittered away." | | 10 | "She tensed her shoulders, military" | | 11 | "She refused another failure." | | 12 | "He sprinted past a rusting" | | 13 | "He leapt, she followed." | | 14 | "Landing jarred her left ankle." | | 15 | "Pain bloomed but she ignored" | | 16 | "Focus kept her upright." | | 17 | "He yanked it free and" | | 18 | "She slammed her palm down," | | 19 | "A hollow shaft yawned beneath" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 130 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |