| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva turned away [away]" |
| | dialogueSentences | 66 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.056 | | effectiveRatio | 0.03 | |
| 79.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1238 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "very" | | 3 | "slightly" |
| |
| 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) | |
| 83.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1238 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "fractured" | | 1 | "familiar" | | 2 | "fragmented" | | 3 | "trembled" |
| |
| 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 | 66 | | matches | (empty) | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1239 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 587 | | uniqueNames | 4 | | maxNameDensity | 4.09 | | worstName | "Eva" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like burnt toast and bergamot tea" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1239 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 21 | | std | 19.9 | | cv | 0.948 | | sampleLengths | | 0 | 11 | | 1 | 51 | | 2 | 5 | | 3 | 6 | | 4 | 4 | | 5 | 10 | | 6 | 2 | | 7 | 15 | | 8 | 17 | | 9 | 21 | | 10 | 8 | | 11 | 51 | | 12 | 4 | | 13 | 17 | | 14 | 45 | | 15 | 24 | | 16 | 55 | | 17 | 7 | | 18 | 49 | | 19 | 4 | | 20 | 5 | | 21 | 15 | | 22 | 4 | | 23 | 50 | | 24 | 9 | | 25 | 2 | | 26 | 14 | | 27 | 49 | | 28 | 2 | | 29 | 77 | | 30 | 10 | | 31 | 70 | | 32 | 4 | | 33 | 28 | | 34 | 45 | | 35 | 5 | | 36 | 6 | | 37 | 5 | | 38 | 15 | | 39 | 4 | | 40 | 38 | | 41 | 40 | | 42 | 8 | | 43 | 2 | | 44 | 57 | | 45 | 13 | | 46 | 1 | | 47 | 25 | | 48 | 10 | | 49 | 41 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 67.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 113 | | ratio | 0.027 | | matches | | 0 | "The curry house below hadn't opened yet, but voices drifted up from the street — the clatter of morning deliveries, someone shouting about a parking space." | | 1 | "Books covered every surface — stacked on the coffee table, piled beside the sofa, balanced precariously on the windowsill." | | 2 | "Her knuckles had ink stains on them — blue and black, from whatever she'd been transcribing before Rory knocked." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 587 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.022146507666098807 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008517887563884156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 10.96 | | std | 9.79 | | cv | 0.893 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 25 | | 3 | 9 | | 4 | 5 | | 5 | 6 | | 6 | 4 | | 7 | 3 | | 8 | 3 | | 9 | 4 | | 10 | 2 | | 11 | 15 | | 12 | 9 | | 13 | 8 | | 14 | 17 | | 15 | 4 | | 16 | 5 | | 17 | 3 | | 18 | 12 | | 19 | 39 | | 20 | 4 | | 21 | 7 | | 22 | 10 | | 23 | 8 | | 24 | 26 | | 25 | 4 | | 26 | 7 | | 27 | 3 | | 28 | 12 | | 29 | 7 | | 30 | 2 | | 31 | 11 | | 32 | 19 | | 33 | 16 | | 34 | 9 | | 35 | 5 | | 36 | 2 | | 37 | 38 | | 38 | 11 | | 39 | 4 | | 40 | 5 | | 41 | 12 | | 42 | 3 | | 43 | 4 | | 44 | 11 | | 45 | 10 | | 46 | 29 | | 47 | 3 | | 48 | 6 | | 49 | 2 |
| |
| 60.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.39823008849557523 | | totalSentences | 113 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 62 | | matches | | 0 | "Her dark curls were piled" | | 1 | "They stared at each other." | | 2 | "Her jaw worked." | | 3 | "She lowered her voice." | | 4 | "She stepped back, pulling the" | | 5 | "She moved to the kitchen" | | 6 | "She relit the gas." | | 7 | "She dropped her hands" | | 8 | "She pushed one across the" | | 9 | "Her knuckles had ink stains" | | 10 | "He sniffed at Rory's mug," | | 11 | "Her other hand rested on" |
| | ratio | 0.194 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 62 | | matches | | 0 | "The door swung open before" | | 1 | "Eva stood in the gap," | | 2 | "Her dark curls were piled" | | 3 | "They stared at each other." | | 4 | "Eva's voice came out flat" | | 5 | "Eva didn't move." | | 6 | "Her jaw worked." | | 7 | "Rory shifted the canvas bag" | | 8 | "Eva took a bite of" | | 9 | "Heat crawled up Rory's neck." | | 10 | "Eva crossed her arms, the" | | 11 | "Eva laughed, bitter and sharp" | | 12 | "Rory glanced over her shoulder" | | 13 | "The curry house below hadn't" | | 14 | "She lowered her voice." | | 15 | "Eva's expression shifted." | | 16 | "The hardness in her eyes" | | 17 | "She stepped back, pulling the" | | 18 | "Rory slipped past her into" | | 19 | "Books covered every surface —" |
| | ratio | 0.968 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva crossed, the toast dangling from her fingers" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Eva laughed (laugh)" | | 1 | "Rory pressed (press)" |
| | dialogueSentences | 66 | | tagDensity | 0.061 | | leniency | 0.121 | | rawRatio | 0.5 | | effectiveRatio | 0.061 | |