| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "Lucien said quietly [quietly]" |
| | dialogueSentences | 59 | | tagDensity | 0.322 | | leniency | 0.644 | | rawRatio | 0.105 | | effectiveRatio | 0.068 | |
| 77.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1534 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "loosely" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "very" | | 4 | "slowly" | | 5 | "lightly" |
| |
| 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) | |
| 67.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1534 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | word | "the last thing" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "measured" | | 1 | "could feel" | | 2 | "the last thing" | | 3 | "weight" | | 4 | "gloom" | | 5 | "stomach" | | 6 | "looming" | | 7 | "grave" | | 8 | "tenderness" | | 9 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1547 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 854 | | uniqueNames | 12 | | maxNameDensity | 0.7 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 5 | | Lucien | 6 | | Moreau | 3 | | Marseille-softened | 1 | | Evan | 2 | | Cardiff | 1 | | Brendan | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Evan" | | 4 | "Brendan" | | 5 | "Carter" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite a wince" | | 1 | "looked like he'd walked out of a tailor's" | | 2 | "looked like a man with no angles left to" |
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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 | 1547 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 26.67 | | std | 23.1 | | cv | 0.866 | | sampleLengths | | 0 | 45 | | 1 | 39 | | 2 | 22 | | 3 | 7 | | 4 | 48 | | 5 | 3 | | 6 | 10 | | 7 | 11 | | 8 | 19 | | 9 | 53 | | 10 | 11 | | 11 | 1 | | 12 | 42 | | 13 | 47 | | 14 | 6 | | 15 | 27 | | 16 | 19 | | 17 | 5 | | 18 | 8 | | 19 | 52 | | 20 | 5 | | 21 | 5 | | 22 | 80 | | 23 | 31 | | 24 | 2 | | 25 | 3 | | 26 | 49 | | 27 | 19 | | 28 | 10 | | 29 | 7 | | 30 | 26 | | 31 | 67 | | 32 | 52 | | 33 | 15 | | 34 | 67 | | 35 | 7 | | 36 | 14 | | 37 | 53 | | 38 | 63 | | 39 | 15 | | 40 | 27 | | 41 | 90 | | 42 | 12 | | 43 | 23 | | 44 | 36 | | 45 | 1 | | 46 | 8 | | 47 | 21 | | 48 | 85 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 140 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 106 | | ratio | 0.075 | | matches | | 0 | "Nobody else knocked like that — like the sound itself had been tailored, measured, pressed into a charcoal suit." | | 1 | "Lucien Moreau regarded her through the gap, and even in the dim hallway light his mismatched eyes caught it — one amber, warm as a lit window; one black, depthless." | | 2 | "Something moved across his face — not quite a wince." | | 3 | "Every sensible part of her — the part that had survived Evan, that had fled Cardiff with a rucksack and a bus ticket, that Brendan Carter's daughter had inherited along with his cross-examiner's instincts — told her to close the door." | | 4 | "Rory stood with her arms crossed, suddenly conscious of her state — delivery shift sweat under her Golden Empress jacket, black hair tied back with a pencil, socks that didn't match." | | 5 | "The black eye swallowed the light; the amber one held it." | | 6 | "He went still for half a heartbeat — Lucien Moreau, caught off guard, a thing she'd have paid money to witness — and then his hand came up to cradle the side of her face with a tenderness that belied everything the cane and the suits and the ledgers said about him." | | 7 | "He obeyed — a first, she noted — and as she fetched the first aid box from under the sink, he said, quietly, to the room or to her, \"I rehearsed that speech eleven times on the stairs.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 661 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.036308623298033284 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007564296520423601 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 14.59 | | std | 13.82 | | cv | 0.947 | | sampleLengths | | 0 | 26 | | 1 | 19 | | 2 | 6 | | 3 | 4 | | 4 | 9 | | 5 | 20 | | 6 | 11 | | 7 | 11 | | 8 | 7 | | 9 | 30 | | 10 | 14 | | 11 | 4 | | 12 | 3 | | 13 | 7 | | 14 | 3 | | 15 | 11 | | 16 | 10 | | 17 | 3 | | 18 | 4 | | 19 | 2 | | 20 | 23 | | 21 | 30 | | 22 | 11 | | 23 | 1 | | 24 | 34 | | 25 | 4 | | 26 | 2 | | 27 | 2 | | 28 | 6 | | 29 | 41 | | 30 | 6 | | 31 | 18 | | 32 | 4 | | 33 | 3 | | 34 | 2 | | 35 | 17 | | 36 | 2 | | 37 | 5 | | 38 | 6 | | 39 | 2 | | 40 | 31 | | 41 | 18 | | 42 | 3 | | 43 | 5 | | 44 | 5 | | 45 | 3 | | 46 | 31 | | 47 | 13 | | 48 | 33 | | 49 | 16 |
| |
| 62.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4056603773584906 | | totalSentences | 106 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 58 | | matches | | 0 | "Then she opened the door" | | 1 | "Then, slowly, with visible cost," |
| | ratio | 0.034 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 58 | | matches | | 0 | "She looked through the peephole" | | 1 | "Her full name, in that" | | 2 | "He filed things away." | | 3 | "She kept her voice level," | | 4 | "She should have closed the" | | 5 | "She slid the chain off" | | 6 | "He stepped past her into" | | 7 | "Her stomach tightened." | | 8 | "He lowered himself into her" | | 9 | "He looked like he'd walked" | | 10 | "She didn't sit." | | 11 | "He let out a breath" | | 12 | "Her voice came out flatter" | | 13 | "He looked down at his" | | 14 | "she said finally" | | 15 | "She sat then, on the" | | 16 | "He said it simply, the" | | 17 | "She laughed, and it came" | | 18 | "His head came up." | | 19 | "He was silent for a" |
| | ratio | 0.552 | |
| 11.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 58 | | matches | | 0 | "The knock came at half" | | 1 | "Nobody else knocked like that" | | 2 | "She looked through the peephole" | | 3 | "Platinum hair, slicked back." | | 4 | "An ivory cane held loosely" | | 5 | "That face, all clean angles" | | 6 | "Rory's hand rested on the" | | 7 | "Lucien Moreau regarded her through" | | 8 | "Her full name, in that" | | 9 | "Something moved across his face" | | 10 | "Lucien didn't wince." | | 11 | "He filed things away." | | 12 | "She kept her voice level," | | 13 | "Lucien shifted his weight, and" | | 14 | "She should have closed the" | | 15 | "Every sensible part of her" | | 16 | "She slid the chain off" | | 17 | "He stepped past her into" | | 18 | "Blood, old but recent." | | 19 | "Her stomach tightened." |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "Every sensible part of her — the part that had survived Evan, that had fled Cardiff with a rucksack and a bus ticket, that Brendan Carter's daughter had inherit…" | | 1 | "Rory stood with her arms crossed, suddenly conscious of her state — delivery shift sweat under her Golden Empress jacket, black hair tied back with a pencil, so…" | | 2 | "He went still for half a heartbeat — Lucien Moreau, caught off guard, a thing she'd have paid money to witness — and then his hand came up to cradle the side of…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 59 | | tagDensity | 0.169 | | leniency | 0.339 | | rawRatio | 0.2 | | effectiveRatio | 0.068 | |