| 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 | |
| 90.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1562 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "suddenly" |
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| 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) | |
| 77.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1562 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "could feel" | | 3 | "silence" | | 4 | "warmth" |
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| 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 | 66 | | matches | (empty) | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 76 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1573 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 894 | | uniqueNames | 8 | | maxNameDensity | 0.45 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Ptolemy | 4 | | Moreau | 1 | | Eva | 3 | | East | 1 | | London | 1 | | Lucien | 4 | | One | 1 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "One" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a man reading out terms" |
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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 | 1573 | | matches | (empty) | |
| 66.67% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 100 | | matches | | 0 | "warm, that she'd" | | 1 | "watched that hand" | | 2 | "had that night" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 27.6 | | std | 27.32 | | cv | 0.99 | | sampleLengths | | 0 | 35 | | 1 | 4 | | 2 | 71 | | 3 | 6 | | 4 | 5 | | 5 | 70 | | 6 | 19 | | 7 | 28 | | 8 | 5 | | 9 | 31 | | 10 | 10 | | 11 | 3 | | 12 | 1 | | 13 | 38 | | 14 | 24 | | 15 | 7 | | 16 | 100 | | 17 | 20 | | 18 | 4 | | 19 | 54 | | 20 | 12 | | 21 | 13 | | 22 | 1 | | 23 | 70 | | 24 | 22 | | 25 | 5 | | 26 | 51 | | 27 | 18 | | 28 | 4 | | 29 | 29 | | 30 | 6 | | 31 | 122 | | 32 | 37 | | 33 | 6 | | 34 | 7 | | 35 | 37 | | 36 | 32 | | 37 | 26 | | 38 | 7 | | 39 | 72 | | 40 | 4 | | 41 | 12 | | 42 | 22 | | 43 | 13 | | 44 | 76 | | 45 | 39 | | 46 | 49 | | 47 | 1 | | 48 | 18 | | 49 | 69 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 149 | | matches | | 0 | "was ending" | | 1 | "was standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 100 | | ratio | 0.08 | | matches | | 0 | "His cane hung from his right hand, and his mismatched eyes — one amber, one a black that swallowed the light from her doorway — found her face and stayed there." | | 1 | "He moved past her into the flat, and the whole room seemed to rearrange itself around him — or maybe that was just her, the way her pulse knocked against her ribs just because he'd come close enough that she could smell rain and smoke and something under it, faint and warm, that she'd spent three months training herself to forget." | | 2 | "That was the worst of it — even now, even bleeding on Eva's sofa, he sounded like a man reading out terms." | | 3 | "The amber eye caught the light; the black one didn't." | | 4 | "That was the whole problem — he was gentle with everything except her, and even that had been a kind of gentleness, hadn't it, dressed up as cold." | | 5 | "The amber eye was the one that gave him away — it had gone molten, the way it had that night in his office when he'd reached across the desk and tucked a loose strand of hair behind her ear and then apologized like a gentleman, like an idiot, like a man building his own escape hatch in real time." | | 6 | "Lucien's free hand came up — hovered at her jaw, not touching, close enough that she could feel the warmth of it, close enough that her whole body leaned without moving." | | 7 | "Her pulse was everywhere — her wrists, her throat, the old crescent scar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 887 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.036076662908680945 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004509582863585118 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 15.73 | | std | 16.11 | | cv | 1.024 | | sampleLengths | | 0 | 35 | | 1 | 4 | | 2 | 31 | | 3 | 9 | | 4 | 31 | | 5 | 6 | | 6 | 5 | | 7 | 7 | | 8 | 63 | | 9 | 9 | | 10 | 10 | | 11 | 28 | | 12 | 5 | | 13 | 31 | | 14 | 8 | | 15 | 2 | | 16 | 3 | | 17 | 1 | | 18 | 38 | | 19 | 13 | | 20 | 1 | | 21 | 10 | | 22 | 7 | | 23 | 61 | | 24 | 32 | | 25 | 7 | | 26 | 20 | | 27 | 4 | | 28 | 32 | | 29 | 4 | | 30 | 18 | | 31 | 7 | | 32 | 5 | | 33 | 13 | | 34 | 1 | | 35 | 70 | | 36 | 6 | | 37 | 11 | | 38 | 5 | | 39 | 5 | | 40 | 18 | | 41 | 33 | | 42 | 5 | | 43 | 5 | | 44 | 8 | | 45 | 4 | | 46 | 29 | | 47 | 4 | | 48 | 2 | | 49 | 21 |
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| 67.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.42 | | totalSentences | 100 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "Somewhere below, the curry house" | | 1 | "Of course it was gentle." |
| | ratio | 0.036 | |
| 9.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 55 | | matches | | 0 | "She opened it anyway." | | 1 | "He'd never let the wind" | | 2 | "His cane hung from his" | | 3 | "She kept her hand on" | | 4 | "She crossed her arms over" | | 5 | "He shifted his weight off" | | 6 | "Her arms uncrossed before she" | | 7 | "He moved past her into" | | 8 | "He lowered himself onto the" | | 9 | "His cane he laid across" | | 10 | "She fetched the first aid" | | 11 | "He peeled the fabric back" | | 12 | "He watched her work." | | 13 | "She could feel both his" | | 14 | "he repeated, quieter" | | 15 | "She'd gotten through the antiseptic" | | 16 | "He said it plainly, the" | | 17 | "Her head came up." | | 18 | "His voice didn't rise" | | 19 | "It never did." |
| | ratio | 0.527 | |
| 14.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 55 | | matches | | 0 | "The third deadbolt stuck, the" | | 1 | "She opened it anyway." | | 2 | "Lucien Moreau stood in the" | | 3 | "He'd never let the wind" | | 4 | "His cane hung from his" | | 5 | "Rory told him" | | 6 | "She kept her hand on" | | 7 | "She crossed her arms over" | | 8 | "He shifted his weight off" | | 9 | "Her arms uncrossed before she" | | 10 | "Ptolemy yowled again, sharper this" | | 11 | "The cat had hissed at" | | 12 | "Rory stepped back and let" | | 13 | "He moved past her into" | | 14 | "He lowered himself onto the" | | 15 | "His cane he laid across" | | 16 | "She fetched the first aid" | | 17 | "He peeled the fabric back" | | 18 | "He watched her work." | | 19 | "She could feel both his" |
| | ratio | 0.891 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 55 | | matches | | 0 | "Now her fingers stopped moving." |
| | ratio | 0.018 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 4 | | matches | | 0 | "His cane hung from his right hand, and his mismatched eyes — one amber, one a black that swallowed the light from her doorway — found her face and stayed there." | | 1 | "Behind her, Eva's flat spread its chaos of open books and scattered notes across every surface, and the smell of the curry house below had crept up through the …" | | 2 | "He lowered himself onto the edge of Eva's sofa, clearing a space first, moving a stack of scrolls with the care of a man who knew what it cost to lose research." | | 3 | "Slow, favouring the leg, but he rose, and suddenly the two steps of safety were one step of nothing at all, and Ptolemy chirped in protest at being abandoned, a…" |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "he repeated (repeat)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 49 | | tagDensity | 0.204 | | leniency | 0.408 | | rawRatio | 0.2 | | effectiveRatio | 0.082 | |