| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1631 | | 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) | |
| 81.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1631 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "stomach" | | 1 | "pulse" | | 2 | "silence" | | 3 | "efficient" | | 4 | "weight" | | 5 | "traced" |
| |
| 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 | 63 | | matches | (empty) | |
| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 74 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1646 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 907 | | uniqueNames | 7 | | maxNameDensity | 0.66 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Ptolemy | 3 | | Eva | 6 | | Rory | 2 | | Oxford | 1 | | Sunday | 1 | | Aurora | 1 | | Evan | 2 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1646 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 26.55 | | std | 23.27 | | cv | 0.876 | | sampleLengths | | 0 | 27 | | 1 | 20 | | 2 | 42 | | 3 | 14 | | 4 | 29 | | 5 | 15 | | 6 | 30 | | 7 | 11 | | 8 | 3 | | 9 | 65 | | 10 | 5 | | 11 | 7 | | 12 | 31 | | 13 | 3 | | 14 | 58 | | 15 | 29 | | 16 | 6 | | 17 | 1 | | 18 | 4 | | 19 | 46 | | 20 | 8 | | 21 | 17 | | 22 | 22 | | 23 | 47 | | 24 | 8 | | 25 | 73 | | 26 | 49 | | 27 | 8 | | 28 | 3 | | 29 | 93 | | 30 | 12 | | 31 | 9 | | 32 | 85 | | 33 | 6 | | 34 | 6 | | 35 | 44 | | 36 | 37 | | 37 | 28 | | 38 | 22 | | 39 | 32 | | 40 | 62 | | 41 | 44 | | 42 | 6 | | 43 | 33 | | 44 | 54 | | 45 | 20 | | 46 | 52 | | 47 | 6 | | 48 | 6 | | 49 | 80 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 10 | | totalSentences | 99 | | ratio | 0.101 | | matches | | 0 | "The knock came at half past midnight — three raps with a metronome's patience, the knock of a man who expected doors to apologize for being shut." | | 1 | "\"Eleven days of Yu-Fei's east route. Eva's window faces the street. It was not difficult.\" He lifted his left hand into the gap and turned it over — knuckles split and crusted, a raw scrape down the wrist bone." | | 2 | "He stepped past her, and the smell of him arrived a half-second behind — wet wool, cigarette smoke that even rain couldn't drown, and under it something metallic and old, coins held too long in a closed fist." | | 3 | "Lucien lowered himself into the one chair without books stacked on it, laid the cane across his knees, and let the room look at him — the towers of paper, the scrolls pinned above the radiator, the three deadbolts she threw home behind him out of habit." | | 4 | "The words landed and she let them, because they were true, and the truth had a shape she'd spent three weeks stepping around — she'd seen her own name priced against a stranger's initial and left before page forty-two could explain itself to her." | | 5 | "And there it was — the old rhythm, dry as tinder — and she hated how her mouth wanted to answer it." | | 6 | "Her name ran down the page in a hand like frost — Aurora, and beneath it the older name, the one she never used, the one Evan had no right to know." | | 7 | "The vellum caught, then went up all at once — her name blackening, curling, the older name lifting off the page in a breath of ash." | | 8 | "He stopped close enough that rain still dripped from his sleeve onto her bare foot, and she didn't move back, and she watched him register that — one amber eye and one black, both of them doing the arithmetic of the distance between them." | | 9 | "His hand slid from her jaw into her hair; Ptolemy yelled at both of them from the book pile; the last of the ash settled in the saucer." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 902 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03215077605321508 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022172949002217295 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 16.63 | | std | 15.25 | | cv | 0.917 | | sampleLengths | | 0 | 27 | | 1 | 4 | | 2 | 16 | | 3 | 9 | | 4 | 17 | | 5 | 16 | | 6 | 14 | | 7 | 6 | | 8 | 11 | | 9 | 12 | | 10 | 15 | | 11 | 7 | | 12 | 23 | | 13 | 6 | | 14 | 1 | | 15 | 4 | | 16 | 3 | | 17 | 55 | | 18 | 10 | | 19 | 5 | | 20 | 7 | | 21 | 5 | | 22 | 26 | | 23 | 3 | | 24 | 39 | | 25 | 19 | | 26 | 5 | | 27 | 11 | | 28 | 13 | | 29 | 6 | | 30 | 1 | | 31 | 4 | | 32 | 38 | | 33 | 8 | | 34 | 8 | | 35 | 17 | | 36 | 22 | | 37 | 47 | | 38 | 8 | | 39 | 9 | | 40 | 33 | | 41 | 31 | | 42 | 12 | | 43 | 37 | | 44 | 8 | | 45 | 3 | | 46 | 18 | | 47 | 75 | | 48 | 3 | | 49 | 9 |
| |
| 81.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5151515151515151 | | totalSentences | 99 | | uniqueOpeners | 51 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | | ratio | 0.016 | |
| 26.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 62 | | matches | | 0 | "She crossed the room without" | | 1 | "Her stomach went through the" | | 2 | "She thumbed the first deadbolt" | | 3 | "She slid it and kept" | | 4 | "His face filled the gap." | | 5 | "He lifted his left hand" | | 6 | "She looked at the knuckles." | | 7 | "He stepped past her, and" | | 8 | "She noticed the wet hair" | | 9 | "He watched her fold her" | | 10 | "She kept her voice level" | | 11 | "He leaned forward, elbows on" | | 12 | "His thumb traveled the ivory" | | 13 | "She looked at the dark" | | 14 | "He reached inside his coat" | | 15 | "He held it out on" | | 16 | "She untied the thread." | | 17 | "Her name ran down the" | | 18 | "He nodded at the candle" | | 19 | "She struck the match." |
| | ratio | 0.484 | |
| 40.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 62 | | matches | | 0 | "The knock came at half" | | 1 | "Rory's pen stopped mid-word." | | 2 | "Nobody knocked on Eva's door" | | 3 | "Friends rang the buzzer, which" | | 4 | "Eva answered for no one," | | 5 | "She crossed the room without" | | 6 | "Charcoal wool, rain-darkened across the" | | 7 | "Platinum hair slicked back and" | | 8 | "The ivory head of a" | | 9 | "Her stomach went through the" | | 10 | "Lucien's voice carried through the" | | 11 | "She thumbed the first deadbolt" | | 12 | "Water ran off his cuff" | | 13 | "She slid it and kept" | | 14 | "His face filled the gap." | | 15 | "He lifted his left hand" | | 16 | "She looked at the knuckles." | | 17 | "The chain came off." | | 18 | "He stepped past her, and" | | 19 | "Ptolemy, traitor, wound around his" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "The knock came at half past midnight — three raps with a metronome's patience, the knock of a man who expected doors to apologize for being shut." | | 1 | "He reached inside his coat and produced a fold of vellum, creased, water-stained at one corner, tied with thread that had been black once." | | 2 | "The vellum caught, then went up all at once — her name blackening, curling, the older name lifting off the page in a breath of ash." |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "His thumb traveled, once" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |