| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 3 | | adverbTags | | 0 | "Eva's eyes darted away [away]" | | 1 | "She pushed away [away]" | | 2 | "Rory pulled away [away]" |
| | dialogueSentences | 50 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 80.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1308 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "really" | | 3 | "softly" |
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| 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) | |
| 84.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1308 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "racing" | | 1 | "firmly" | | 2 | "comforting" | | 3 | "dancing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1307 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 871 | | uniqueNames | 7 | | maxNameDensity | 2.99 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 26 | | Pinot | 1 | | Grigio | 1 | | Eva | 23 | | London | 1 | | Dr | 1 | | Eichmann | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Dr" | | 3 | "Eichmann" |
| | places | | | globalScore | 0.007 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like they were fading, but her fie" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1307 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 63.10% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 40.84 | | std | 15.15 | | cv | 0.371 | | sampleLengths | | 0 | 39 | | 1 | 41 | | 2 | 51 | | 3 | 32 | | 4 | 39 | | 5 | 28 | | 6 | 28 | | 7 | 54 | | 8 | 31 | | 9 | 27 | | 10 | 43 | | 11 | 36 | | 12 | 20 | | 13 | 42 | | 14 | 43 | | 15 | 58 | | 16 | 32 | | 17 | 51 | | 18 | 60 | | 19 | 49 | | 20 | 57 | | 21 | 13 | | 22 | 52 | | 23 | 45 | | 24 | 58 | | 25 | 3 | | 26 | 58 | | 27 | 57 | | 28 | 39 | | 29 | 38 | | 30 | 69 | | 31 | 14 |
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| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "been broken" | | 1 | "are supposed" |
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| 43.14% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 170 | | matches | | 0 | "were fading" | | 1 | "was blending" | | 2 | "was feeling" | | 3 | "was pouring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 112 | | ratio | 0.009 | | matches | | 0 | "Rory peered over her shoulder as she read: find dining room — fancy; gear up — basic." |
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| 94.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 821 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04628501827040195 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012180267965895249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.67 | | std | 7.52 | | cv | 0.644 | | sampleLengths | | 0 | 13 | | 1 | 11 | | 2 | 15 | | 3 | 18 | | 4 | 9 | | 5 | 1 | | 6 | 9 | | 7 | 4 | | 8 | 8 | | 9 | 9 | | 10 | 1 | | 11 | 7 | | 12 | 4 | | 13 | 18 | | 14 | 4 | | 15 | 9 | | 16 | 21 | | 17 | 2 | | 18 | 9 | | 19 | 15 | | 20 | 4 | | 21 | 11 | | 22 | 17 | | 23 | 11 | | 24 | 2 | | 25 | 20 | | 26 | 6 | | 27 | 12 | | 28 | 8 | | 29 | 18 | | 30 | 16 | | 31 | 12 | | 32 | 19 | | 33 | 9 | | 34 | 18 | | 35 | 14 | | 36 | 17 | | 37 | 12 | | 38 | 13 | | 39 | 14 | | 40 | 9 | | 41 | 10 | | 42 | 10 | | 43 | 11 | | 44 | 20 | | 45 | 11 | | 46 | 4 | | 47 | 18 | | 48 | 10 | | 49 | 11 |
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| 71.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.44642857142857145 | | totalSentences | 112 | | uniqueOpeners | 50 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Probably Eva wanting me to" | | 1 | "Instead, Eva countered with lighter" |
| | ratio | 0.024 | |
| 96.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 84 | | matches | | 0 | "She sat up, bleary-eyed, mentally" | | 1 | "She pulled her hair into" | | 2 | "She unlatched the bolt but" | | 3 | "She barrelled past Rory, setting" | | 4 | "She had filled out a" | | 5 | "She reached behind to unclip" | | 6 | "Her face was still flushed" | | 7 | "She busied herself with picking" | | 8 | "She handed Rory the paper" | | 9 | "She pushed away her skirt" | | 10 | "She hated tea." | | 11 | "Her heart had been broken." | | 12 | "She had never held a" | | 13 | "She wanted to know how" | | 14 | "She used Rory as a" | | 15 | "She was alright now." | | 16 | "She shrugged, not noticing the" | | 17 | "She looked up at Rory" | | 18 | "She took a sip of" | | 19 | "They treat me like one" |
| | ratio | 0.31 | |
| 61.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 84 | | matches | | 0 | "The doorbell chimed, jolting Rory" | | 1 | "She sat up, bleary-eyed, mentally" | | 2 | "Sleep had evaded her the" | | 3 | "The one where she naively" | | 4 | "Tears pricked her eyes, but" | | 5 | "The bell rang again, more" | | 6 | "The lift had light and" | | 7 | "Par for the course in" | | 8 | "Rory called, grabbing her discarded" | | 9 | "She pulled her hair into" | | 10 | "She unlatched the bolt but" | | 11 | "Eva was on the other" | | 12 | "Spencer on an excursion." | | 13 | "Rory pulled the chain off" | | 14 | "She barrelled past Rory, setting" | | 15 | "Rory turned a critical eye" | | 16 | "She had filled out a" | | 17 | "The freckles dusting her arms" | | 18 | "Eva's eyes darted away" | | 19 | "Rory's cheeks flushed pink, but" |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva's hair sticking straight out would've made her look like a cat who caught the canary, if Eichmann's language was groovy enough for her." |
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| 90.52% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 2 | | matches | | 0 | "She shrugged, not noticing the tightening in her chest" | | 1 | "Eva said, her eyes twinkling mischievously" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 50 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0.25 | | effectiveRatio | 0.04 | |