| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "Then he leans in [Then]" | | 1 | "I tease breathlessly [breathlessly]" |
| | dialogueSentences | 25 | | tagDensity | 0.56 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 94.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 845 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 64.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 845 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "practiced ease" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "pulse" | | 1 | "stomach" | | 2 | "reminder" | | 3 | "practiced ease" | | 4 | "uncanny" |
| |
| 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 | 60 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 842 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 639 | | uniqueNames | 4 | | maxNameDensity | 1.25 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Marseille | 3 | | Moreau | 1 | | Lucien | 8 | | Damn | 1 |
| | persons | | | places | | | globalScore | 0.874 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 842 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 24.76 | | std | 15.52 | | cv | 0.627 | | sampleLengths | | 0 | 68 | | 1 | 6 | | 2 | 28 | | 3 | 4 | | 4 | 6 | | 5 | 41 | | 6 | 11 | | 7 | 34 | | 8 | 11 | | 9 | 24 | | 10 | 31 | | 11 | 11 | | 12 | 19 | | 13 | 36 | | 14 | 21 | | 15 | 31 | | 16 | 38 | | 17 | 13 | | 18 | 68 | | 19 | 17 | | 20 | 30 | | 21 | 8 | | 22 | 23 | | 23 | 36 | | 24 | 11 | | 25 | 11 | | 26 | 33 | | 27 | 11 | | 28 | 15 | | 29 | 17 | | 30 | 36 | | 31 | 43 | | 32 | 19 | | 33 | 31 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 63.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 72 | | ratio | 0.028 | | matches | | 0 | "It's almost midnight — too late for a delivery, and none of my few friends would show up unannounced." | | 1 | "He kisses like he does everything — with confident, practiced ease that leaves you dizzy." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 437 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.029748283752860413 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.009153318077803204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 11.69 | | std | 7.19 | | cv | 0.615 | | sampleLengths | | 0 | 13 | | 1 | 27 | | 2 | 20 | | 3 | 8 | | 4 | 6 | | 5 | 3 | | 6 | 19 | | 7 | 6 | | 8 | 4 | | 9 | 6 | | 10 | 3 | | 11 | 22 | | 12 | 16 | | 13 | 11 | | 14 | 16 | | 15 | 8 | | 16 | 10 | | 17 | 11 | | 18 | 7 | | 19 | 17 | | 20 | 25 | | 21 | 6 | | 22 | 11 | | 23 | 14 | | 24 | 5 | | 25 | 12 | | 26 | 24 | | 27 | 10 | | 28 | 11 | | 29 | 15 | | 30 | 16 | | 31 | 5 | | 32 | 12 | | 33 | 21 | | 34 | 13 | | 35 | 23 | | 36 | 34 | | 37 | 11 | | 38 | 11 | | 39 | 6 | | 40 | 4 | | 41 | 26 | | 42 | 5 | | 43 | 3 | | 44 | 2 | | 45 | 21 | | 46 | 5 | | 47 | 10 | | 48 | 10 | | 49 | 11 |
| |
| 59.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3888888888888889 | | totalSentences | 72 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 57 | | matches | | 0 | "Then he leans in and" | | 1 | "Then his mouth is on" |
| | ratio | 0.035 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 57 | | matches | | 0 | "I slam the last deadbolt" | | 1 | "I toss my helmet onto" | | 2 | "They scatter across the cushion," | | 3 | "My eyes narrow." | | 4 | "It's almost midnight — too" | | 5 | "I creep towards the door," | | 6 | "My heart stutters." | | 7 | "I haven't been able to" | | 8 | "I undo the locks, pulse" | | 9 | "His tailored charcoal suit drapes" | | 10 | "he drawls, exhaling smoke through" | | 11 | "I cross my arms, cocking" | | 12 | "He steps inside without waiting" | | 13 | "I shut the door behind" | | 14 | "I ask, keeping my tone" | | 15 | "I arch a brow, ignoring" | | 16 | "He flinches almost imperceptibly at" | | 17 | "I rub my temples, considering." | | 18 | "I say, leading him over" | | 19 | "He pulls a yellowed map" |
| | ratio | 0.649 | |
| 21.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 57 | | matches | | 0 | "I slam the last deadbolt" | | 1 | "The raised voices from the" | | 2 | "I toss my helmet onto" | | 3 | "They scatter across the cushion," | | 4 | "A knock sounds at the" | | 5 | "My eyes narrow." | | 6 | "It's almost midnight — too" | | 7 | "I creep towards the door," | | 8 | "Another knock, more insistent." | | 9 | "My heart stutters." | | 10 | "Lucien Moreau, the last person" | | 11 | "I haven't been able to" | | 12 | "I undo the locks, pulse" | | 13 | "Lucien leans against the jamb," | | 14 | "His tailored charcoal suit drapes" | | 15 | "he drawls, exhaling smoke through" | | 16 | "I cross my arms, cocking" | | 17 | "He steps inside without waiting" | | 18 | "I shut the door behind" | | 19 | "I ask, keeping my tone" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 4 | | matches | | 0 | "He steps inside without waiting for an invite, his clean scent washing over me as his shoulder brushes my arm, making me shiver despite myself." | | 1 | "He kisses like he does everything — with confident, practiced ease that leaves you dizzy." | | 2 | "I wind my arms around his neck, yanking him closer, forgotten promises of keeping this professional evaporating like smoke." | | 3 | "His cane clatters to the floor and he hoists me up onto the kitchen counter, hands greedily roaming my back, my hips, kneading, caressing." |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "he murmurs, thumb caressing my jaw" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "he drawls (drawl)" | | 1 | "he murmurs (murmur)" | | 2 | "I admit (admit)" | | 3 | "I tease breathlessly (tease)" |
| | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.571 | | effectiveRatio | 0.32 | |