| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.237 | | leniency | 0.475 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1741 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "very" | | 3 | "gently" |
| |
| 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) | |
| 68.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1741 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "absolutely" | | 1 | "weight" | | 2 | "silence" | | 3 | "could feel" | | 4 | "charm" | | 5 | "methodical" | | 6 | "pulse" | | 7 | "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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1755 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1255 | | uniqueNames | 16 | | maxNameDensity | 0.72 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | Tuesday | 1 | | Moreau | 2 | | Marseille | 1 | | Sumerian | 1 | | Rory | 9 | | God | 1 | | Lucien | 5 | | Drew | 1 | | Pressed | 1 | | Whitechapel | 1 | | Akkadian | 1 | | Swallowed | 1 | | Yu-Fei | 1 | | English | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "God" | | 4 | "Lucien" | | 5 | "Drew" | | 6 | "Yu-Fei" | | 7 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "Whitechapel" | | 2 | "English" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "as if narrating someone else's injury" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1755 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 139 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 23.72 | | std | 24.2 | | cv | 1.02 | | sampleLengths | | 0 | 73 | | 1 | 84 | | 2 | 3 | | 3 | 5 | | 4 | 45 | | 5 | 32 | | 6 | 11 | | 7 | 41 | | 8 | 9 | | 9 | 1 | | 10 | 38 | | 11 | 4 | | 12 | 1 | | 13 | 5 | | 14 | 47 | | 15 | 9 | | 16 | 15 | | 17 | 55 | | 18 | 4 | | 19 | 51 | | 20 | 3 | | 21 | 3 | | 22 | 4 | | 23 | 76 | | 24 | 73 | | 25 | 6 | | 26 | 21 | | 27 | 4 | | 28 | 2 | | 29 | 67 | | 30 | 21 | | 31 | 23 | | 32 | 4 | | 33 | 48 | | 34 | 28 | | 35 | 6 | | 36 | 2 | | 37 | 55 | | 38 | 7 | | 39 | 5 | | 40 | 35 | | 41 | 41 | | 42 | 21 | | 43 | 6 | | 44 | 64 | | 45 | 8 | | 46 | 5 | | 47 | 5 | | 48 | 64 | | 49 | 18 |
| |
| 97.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 95 | | matches | | 0 | "were pinned" | | 1 | "was gone " |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 199 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 139 | | ratio | 0.072 | | matches | | 0 | "Rory pulled the door open with one hand still wrapped around the cricket bat she'd grabbed from behind Eva's coat rack, and the speech she'd prepared — something about it being half eleven on a Tuesday and if this was another one of Eva's university friends looking for a couch — died somewhere between her lungs and her teeth." | | 1 | "His hand came up — not to stop it, just palm raised, fingers slightly spread." | | 2 | "The way he said her name — that half-swallowed R, the vowel drawn out just enough by the Marseille still sitting in his accent — made something twist below her ribs." | | 3 | "It was fast — a slight sideways sway, the cane catching his weight a half-second late, one hand shooting to the door frame." | | 4 | "He moved through the door with the careful economy of someone measuring each step against a finite reserve of energy, and the smell of him came with it — rain and cedar and something faintly metallic that she'd learned months ago was the demon half of his blood running warmer than it should." | | 5 | "\"In Bermondsey. Three hours ago.\" He unbuttoned his jacket with steady fingers — always steady, even now, because God forbid Lucien Moreau let his hands shake — and pulled the left side open." | | 6 | "Lucien looked at her — really looked, both mismatched eyes open and unguarded in a way she'd only seen once before, in the dark outside the Whitechapel warehouse with his hand on her jaw and his breath an inch from hers." | | 7 | "Not to him — past him, to the kitchen nook behind the desk, where she pulled a clean tea towel from the drawer and ran it under warm water." | | 8 | "When they opened, the armor was gone — the polish, the deflection, the four-language wit he wore like chainmail." | | 9 | "It settled on her wrist — not gripping, just resting, his fingertips finding the small crescent-shaped scar she'd carried since childhood." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1251 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 50 | | adverbRatio | 0.03996802557953637 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008792965627498001 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 12.63 | | std | 11.36 | | cv | 0.9 | | sampleLengths | | 0 | 8 | | 1 | 3 | | 2 | 3 | | 3 | 59 | | 4 | 13 | | 5 | 21 | | 6 | 13 | | 7 | 22 | | 8 | 15 | | 9 | 3 | | 10 | 5 | | 11 | 8 | | 12 | 15 | | 13 | 8 | | 14 | 3 | | 15 | 5 | | 16 | 6 | | 17 | 12 | | 18 | 20 | | 19 | 11 | | 20 | 17 | | 21 | 13 | | 22 | 11 | | 23 | 9 | | 24 | 1 | | 25 | 31 | | 26 | 7 | | 27 | 4 | | 28 | 1 | | 29 | 5 | | 30 | 40 | | 31 | 7 | | 32 | 9 | | 33 | 15 | | 34 | 5 | | 35 | 3 | | 36 | 1 | | 37 | 9 | | 38 | 37 | | 39 | 4 | | 40 | 23 | | 41 | 15 | | 42 | 11 | | 43 | 2 | | 44 | 3 | | 45 | 3 | | 46 | 4 | | 47 | 23 | | 48 | 53 | | 49 | 5 |
| |
| 54.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3597122302158273 | | totalSentences | 139 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 84 | | matches | | 0 | "Then the second." | | 1 | "Then the third." | | 2 | "Then his gaze came back" | | 3 | "Instead his knee buckled." | | 4 | "Somewhere below, a muffled laugh" | | 5 | "Just the corner of his" |
| | ratio | 0.071 | |
| 58.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 84 | | matches | | 0 | "His cane rested against the" | | 1 | "She moved to close the" | | 2 | "His hand came up —" | | 3 | "It always had with him." | | 4 | "She held the door where" | | 5 | "He lowered his hand" | | 6 | "She tightened her grip on" | | 7 | "He glanced past her into" | | 8 | "She'd landed somewhere true and" | | 9 | "He reached for the cane," | | 10 | "It was fast — a" | | 11 | "He moved through the door" | | 12 | "She kicked the door shut." | | 13 | "He unbuttoned his jacket with" | | 14 | "It was wet and dark" | | 15 | "he said, as if narrating" | | 16 | "His voice was quiet" | | 17 | "She crossed the room in" | | 18 | "She wrung it out, came" | | 19 | "He pushed off from the" |
| | ratio | 0.405 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 84 | | matches | | 0 | "The first deadbolt gave with" | | 1 | "Rory pulled the door open" | | 2 | "Lucien Moreau stood on the" | | 3 | "His cane rested against the" | | 4 | "The charcoal suit jacket hung" | | 5 | "Platinum blond hair, usually slicked" | | 6 | "She moved to close the" | | 7 | "His hand came up —" | | 8 | "A gesture that said wait," | | 9 | "The difference mattered." | | 10 | "It always had with him." | | 11 | "That was part of the" | | 12 | "She held the door where" | | 13 | "The curry house below pumped" | | 14 | "He lowered his hand" | | 15 | "A muscle in his jaw" | | 16 | "The way he said her" | | 17 | "She tightened her grip on" | | 18 | "He glanced past her into" | | 19 | "Something shifted behind his expression." |
| | ratio | 0.75 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "Platinum blond hair, usually slicked back with the kind of precision that bordered on compulsive, fell in wet strands across his forehead." | | 1 | "It was wet and dark and clinging to a gash that ran from his lower ribs to his hip, the edges of the wound puckered and black." | | 2 | "It settled on her wrist — not gripping, just resting, his fingertips finding the small crescent-shaped scar she'd carried since childhood." |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, as if narrating someone else's injury" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "his weight pressed (press)" | | 1 | "Lucien observed (observe)" |
| | dialogueSentences | 59 | | tagDensity | 0.085 | | leniency | 0.169 | | rawRatio | 0.4 | | effectiveRatio | 0.068 | |