| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "The word felt like [like]" |
| | dialogueSentences | 76 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 0.125 | | effectiveRatio | 0.026 | |
| 96.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1435 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 79.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1435 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "perfect" | | 1 | "silence" | | 2 | "flickered" | | 3 | "weight" | | 4 | "stomach" | | 5 | "electric" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 166 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1434 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 854 | | uniqueNames | 9 | | maxNameDensity | 2.58 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Thames | 1 | | Rory | 22 | | Eva | 22 | | Cardiff | 1 | | Silas | 6 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "Silas" |
| | places | | 0 | "Golden" | | 1 | "Thames" | | 2 | "Cardiff" |
| | globalScore | 0.212 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a pebble in her mouth" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.697 | | wordCount | 1434 | | matches | | 0 | "Not a wedding ring, but a promise maybe" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 166 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 15.42 | | std | 14.67 | | cv | 0.951 | | sampleLengths | | 0 | 89 | | 1 | 4 | | 2 | 2 | | 3 | 66 | | 4 | 26 | | 5 | 5 | | 6 | 6 | | 7 | 11 | | 8 | 17 | | 9 | 14 | | 10 | 4 | | 11 | 6 | | 12 | 23 | | 13 | 5 | | 14 | 31 | | 15 | 3 | | 16 | 1 | | 17 | 2 | | 18 | 9 | | 19 | 13 | | 20 | 48 | | 21 | 5 | | 22 | 7 | | 23 | 6 | | 24 | 2 | | 25 | 16 | | 26 | 31 | | 27 | 14 | | 28 | 10 | | 29 | 33 | | 30 | 7 | | 31 | 13 | | 32 | 3 | | 33 | 43 | | 34 | 3 | | 35 | 9 | | 36 | 28 | | 37 | 22 | | 38 | 3 | | 39 | 6 | | 40 | 14 | | 41 | 9 | | 42 | 15 | | 43 | 44 | | 44 | 4 | | 45 | 15 | | 46 | 51 | | 47 | 3 | | 48 | 4 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 166 | | ratio | 0.006 | | matches | | 0 | "Eva’s expression shifted—confusion, then pain, then something that might have been relief." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 865 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.020809248554913295 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003468208092485549 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 166 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 166 | | mean | 8.64 | | std | 5.77 | | cv | 0.668 | | sampleLengths | | 0 | 19 | | 1 | 8 | | 2 | 19 | | 3 | 23 | | 4 | 13 | | 5 | 7 | | 6 | 4 | | 7 | 2 | | 8 | 7 | | 9 | 16 | | 10 | 15 | | 11 | 11 | | 12 | 17 | | 13 | 8 | | 14 | 4 | | 15 | 4 | | 16 | 10 | | 17 | 5 | | 18 | 6 | | 19 | 6 | | 20 | 5 | | 21 | 11 | | 22 | 6 | | 23 | 14 | | 24 | 4 | | 25 | 6 | | 26 | 7 | | 27 | 3 | | 28 | 13 | | 29 | 5 | | 30 | 3 | | 31 | 17 | | 32 | 11 | | 33 | 3 | | 34 | 1 | | 35 | 2 | | 36 | 9 | | 37 | 5 | | 38 | 8 | | 39 | 3 | | 40 | 20 | | 41 | 25 | | 42 | 5 | | 43 | 7 | | 44 | 6 | | 45 | 2 | | 46 | 16 | | 47 | 6 | | 48 | 13 | | 49 | 12 |
| |
| 39.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.22289156626506024 | | totalSentences | 166 | | uniqueOpeners | 37 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Then the woman turned." |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 95 | | matches | | 0 | "Her hair sat in a" | | 1 | "Her fingers, bare except for" | | 2 | "She crossed the room." | | 3 | "Her hand moved with a" | | 4 | "She didn’t flinch." | | 5 | "She had run her thumb" | | 6 | "She had built her new" | | 7 | "She had been so busy" | | 8 | "Her eyes glistened, but she" | | 9 | "She placed a small envelope" | | 10 | "She could see Silas through" | | 11 | "She set the invitation back" | | 12 | "He picked up the empty" | | 13 | "She sat back down." |
| | ratio | 0.147 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 95 | | matches | | 0 | "Rain streaked the front window" | | 1 | "Rory shoved the door open" | | 2 | "The delivery bag from Golden" | | 3 | "Silas looked up from the" | | 4 | "A woman sat alone under" | | 5 | "The voice dragged her back" | | 6 | "Eva had been all copper" | | 7 | "The woman on the stool" | | 8 | "Her hair sat in a" | | 9 | "Her fingers, bare except for" | | 10 | "Rory set the delivery bag" | | 11 | "She crossed the room." | | 12 | "The jukebox hummed low." | | 13 | "Silas placed a whisky on" | | 14 | "Eva’s mouth curved, but not" | | 15 | "Rory slid onto the stool" | | 16 | "The whisky burned when she" | | 17 | "Rory turned the glass in" | | 18 | "The ice clicked." | | 19 | "The silence stretched." |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "But behind them sat a guardedness that had not been there in the cramped attic studio where Eva once smoked roll-ups and painted until dawn." | | 1 | "Eva’s perfume was subtle, citrus and cedar, not the turpentine and tobacco that used to cling to her clothes." | | 2 | "The old maps on the walls, the black-and-white photographs, the dark wood that smelled of spilled beer and time." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |