| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.306 | | leniency | 0.612 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1908 | | 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) | |
| 60.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1908 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "porcelain" | | 1 | "stomach" | | 2 | "familiar" | | 3 | "reminder" | | 4 | "weight" | | 5 | "silence" | | 6 | "tenderness" | | 7 | "fractured" | | 8 | "warmth" | | 9 | "pulse" | | 10 | "traced" |
| |
| 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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1928 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 34 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1390 | | uniqueNames | 17 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 14 | | Deliveroo | 1 | | Friday | 2 | | Eva | 4 | | Ptolemy | 4 | | Avarosian | 3 | | Lucien | 10 | | Moreau | 4 | | Rain | 1 | | October | 2 | | Evan | 1 | | Cardiff | 1 | | Marseille | 1 | | Swallowed | 1 | | London | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Avarosian" | | 4 | "Lucien" | | 5 | "Moreau" | | 6 | "Rain" | | 7 | "Evan" |
| | places | | 0 | "October" | | 1 | "Cardiff" | | 2 | "Marseille" | | 3 | "London" | | 4 | "Brick" | | 5 | "Lane" |
| | globalScore | 0.996 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like the edge of a cliff she'd bee" | | 1 | "tasted like espresso and rain" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1928 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 27.15 | | std | 26.51 | | cv | 0.976 | | sampleLengths | | 0 | 73 | | 1 | 51 | | 2 | 7 | | 3 | 34 | | 4 | 2 | | 5 | 17 | | 6 | 29 | | 7 | 4 | | 8 | 50 | | 9 | 13 | | 10 | 7 | | 11 | 24 | | 12 | 10 | | 13 | 9 | | 14 | 43 | | 15 | 5 | | 16 | 84 | | 17 | 16 | | 18 | 2 | | 19 | 2 | | 20 | 53 | | 21 | 6 | | 22 | 17 | | 23 | 5 | | 24 | 101 | | 25 | 8 | | 26 | 63 | | 27 | 12 | | 28 | 89 | | 29 | 20 | | 30 | 23 | | 31 | 6 | | 32 | 57 | | 33 | 16 | | 34 | 8 | | 35 | 7 | | 36 | 93 | | 37 | 16 | | 38 | 4 | | 39 | 10 | | 40 | 31 | | 41 | 55 | | 42 | 22 | | 43 | 1 | | 44 | 10 | | 45 | 81 | | 46 | 72 | | 47 | 5 | | 48 | 2 | | 49 | 22 |
| |
| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 114 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 228 | | matches | | 0 | "wasn't watching" | | 1 | "was shaking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 149 | | ratio | 0.074 | | matches | | 0 | "They stood like that — her gripping the edge of the door, him holding it open with one palm flat against the wood — and somewhere below them the curry house exhaled its permanent cloud of cumin and fenugreek into the wet October air." | | 1 | "He looked past her into the flat, taking in the familiar chaos — books stacked on books stacked on scrolls, Eva's conspiracy-wall of pinned notes and red string above the radiator, the single lamp burning by the window where Rory had been sitting cross-legged with a highlighter between her teeth an hour ago." | | 2 | "Every rational cell in her body — and Rory had built her entire identity on those cells, on being the calm one, the quick-thinking one, the one who didn't crack — told her to shut the door, slide all three deadbolts back into place, and go eat her pad thai on the sofa with the cat." | | 3 | "He set his cane against the wall by the door — the one with the blade inside, the one he never let out of arm's reach — and that single gesture said more than anything he'd managed so far." | | 4 | "It was already small — one bedroom, a galley kitchen barely wide enough for two people to pass, a bathroom with a shower that screamed when you turned it past lukewarm — but Lucien occupied space differently than other people." | | 5 | "\"That was true. But it was not complete.\" He pressed two fingers against his temple — an old gesture, one she'd seen him make dozens of times during late-night sessions in this very flat, bent over texts with Eva while Rory brought them tea and pretended she wasn't watching the lamplight play across his cheekbones." | | 6 | "The wood was cool and solid and real, and she needed real right now because the rest of this — him, here, the raw thing in his voice — felt like the edge of a cliff she'd been backing away from for months." | | 7 | "They were close enough now that she could smell rain and cedar and something faintly sulfuric underneath — the Avarosian trace, the demon-blood warmth that always ran hotter than human." | | 8 | "Something moved across his face — not a flinch, deeper than that, tectonic — and he reached for her hand, then stopped." | | 9 | "Not his hand — she bypassed it entirely, stepped into his space, grabbed the wet lapel of his jacket, and pulled him down to her." | | 10 | "Rory's grip on his lapel tightened, the wet wool bunching under her fingers, and she pulled him down again — slower this time, her mouth finding his with a precision that surprised them both." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1177 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03143585386576041 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00594732370433305 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 12.94 | | std | 12.85 | | cv | 0.993 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 2 | | 3 | 2 | | 4 | 33 | | 5 | 37 | | 6 | 4 | | 7 | 10 | | 8 | 7 | | 9 | 4 | | 10 | 2 | | 11 | 2 | | 12 | 26 | | 13 | 2 | | 14 | 17 | | 15 | 9 | | 16 | 11 | | 17 | 5 | | 18 | 4 | | 19 | 4 | | 20 | 44 | | 21 | 6 | | 22 | 6 | | 23 | 7 | | 24 | 7 | | 25 | 12 | | 26 | 3 | | 27 | 2 | | 28 | 7 | | 29 | 5 | | 30 | 5 | | 31 | 9 | | 32 | 4 | | 33 | 3 | | 34 | 3 | | 35 | 33 | | 36 | 5 | | 37 | 53 | | 38 | 10 | | 39 | 2 | | 40 | 19 | | 41 | 16 | | 42 | 2 | | 43 | 2 | | 44 | 13 | | 45 | 25 | | 46 | 3 | | 47 | 12 | | 48 | 6 | | 49 | 3 |
| |
| 52.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.37583892617449666 | | totalSentences | 149 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 96 | | matches | | 0 | "Of course he did." | | 1 | "Instead she said," | | 2 | "Somewhere out in the wet" |
| | ratio | 0.031 | |
| 53.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 96 | | matches | | 0 | "She expected the Deliveroo driver" | | 1 | "It looked wrong on him," | | 2 | "His hand caught it." | | 3 | "He didn't seem to notice." | | 4 | "They stood like that —" | | 5 | "he said, quiet" | | 6 | "He read it correctly and" | | 7 | "He looked past her into" | | 8 | "His gaze settled on the" | | 9 | "He understood immediately that she'd" | | 10 | "His mouth twitched." | | 11 | "She should have shut the" | | 12 | "She'd survived Evan." | | 13 | "She'd survived fleeing Cardiff with" | | 14 | "She could survive Lucien Moreau" | | 15 | "He stepped inside." | | 16 | "He moved the way he" | | 17 | "He set his cane against" | | 18 | "It was already small —" | | 19 | "He stood in the center" |
| | ratio | 0.417 | |
| 48.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 96 | | matches | | 0 | "The third deadbolt stuck the" | | 1 | "She expected the Deliveroo driver" | | 2 | "A Friday night concession to" | | 3 | "Something close to uncertainty." | | 4 | "It looked wrong on him," | | 5 | "Rory said, and pushed the" | | 6 | "His hand caught it." | | 7 | "The amber eye caught the" | | 8 | "Rain dripped from the edge" | | 9 | "He didn't seem to notice." | | 10 | "They stood like that —" | | 11 | "Ptolemy threaded between her ankles," | | 12 | "Lucien looked down at the" | | 13 | "Something in his jaw softened" | | 14 | "he said, quiet" | | 15 | "Rory curled her fingers into" | | 16 | "He read it correctly and" | | 17 | "Lucien arranged everything." | | 18 | "Lucien knew everything." | | 19 | "Lucien operated in the spaces" |
| | ratio | 0.823 | |
| 52.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 96 | | matches | | 0 | "Because of the weight he" |
| | ratio | 0.01 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "He moved the way he always moved, deliberate, each motion considered, like a man who'd learned early that carelessness had consequences." | | 1 | "It was already small — one bedroom, a galley kitchen barely wide enough for two people to pass, a bathroom with a shower that screamed when you turned it past l…" | | 2 | "One of his hands found the back of her neck and the other settled at her waist with a care that bordered on reverence, and she felt the heat of him through ever…" | | 3 | "Rory's grip on his lapel tightened, the wet wool bunching under her fingers, and she pulled him down again — slower this time, her mouth finding his with a prec…" |
| |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, quiet" | | 1 | "she said, slow," |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 49 | | tagDensity | 0.204 | | leniency | 0.408 | | rawRatio | 0.1 | | effectiveRatio | 0.041 | |