| 75.93% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 4 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "Lucien repeated slowly [slowly]" | | 2 | "She turned back [back]" | | 3 | "he said carefully [carefully]" |
| | dialogueSentences | 52 | | tagDensity | 0.519 | | leniency | 1 | | rawRatio | 0.148 | | effectiveRatio | 0.148 | |
| 63.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1374 | | totalAiIsmAdverbs | 10 | | found | | | highlights | | 0 | "loosely" | | 1 | "carefully" | | 2 | "very" | | 3 | "slowly" | | 4 | "slightly" | | 5 | "really" |
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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) | |
| 63.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1374 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "unreadable" | | 1 | "resolve" | | 2 | "navigate" | | 3 | "tension" | | 4 | "silence" | | 5 | "familiar" | | 6 | "warmth" | | 7 | "profound" |
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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 | 1 | | narrationSentences | 79 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1376 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 932 | | uniqueNames | 7 | | maxNameDensity | 0.97 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Yu-Fei | 1 | | Lucien | 8 | | Moreau | 1 | | Rory | 9 | | Eva | 3 | | Ptolemy | 4 | | Haverstock | 1 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1376 | | matches | (empty) | |
| 38.46% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 104 | | matches | | 0 | "given that their" | | 1 | "chose that moment" | | 2 | "replayed that conversation" | | 3 | "was that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 26.46 | | std | 23.98 | | cv | 0.906 | | sampleLengths | | 0 | 72 | | 1 | 11 | | 2 | 64 | | 3 | 17 | | 4 | 5 | | 5 | 14 | | 6 | 17 | | 7 | 60 | | 8 | 13 | | 9 | 4 | | 10 | 6 | | 11 | 56 | | 12 | 18 | | 13 | 61 | | 14 | 8 | | 15 | 65 | | 16 | 5 | | 17 | 22 | | 18 | 65 | | 19 | 6 | | 20 | 8 | | 21 | 4 | | 22 | 56 | | 23 | 75 | | 24 | 6 | | 25 | 2 | | 26 | 13 | | 27 | 10 | | 28 | 32 | | 29 | 25 | | 30 | 17 | | 31 | 22 | | 32 | 16 | | 33 | 1 | | 34 | 17 | | 35 | 4 | | 36 | 72 | | 37 | 4 | | 38 | 20 | | 39 | 11 | | 40 | 3 | | 41 | 64 | | 42 | 63 | | 43 | 63 | | 44 | 22 | | 45 | 6 | | 46 | 10 | | 47 | 58 | | 48 | 25 | | 49 | 9 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "been conjured" | | 1 | "being photographed" | | 2 | "were composed" |
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| 87.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 177 | | matches | | 0 | "was running" | | 1 | "was choosing" | | 2 | "were examining" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 104 | | ratio | 0.067 | | matches | | 0 | "Rory had learned to coax it — a half-turn left, then right, then a firm shove with her hip — but tonight her hands were full of Yu-Fei's leftovers and her patience was running on fumes." | | 1 | "His mismatched eyes found her immediately — the amber one warm, the black one unreadable, as always." | | 2 | "Lucien entered the way he did everything — unhurried, taking stock." | | 3 | "In the lamplight his features were composed into that particular arrangement she'd spent weeks cataloguing without meaning to — the slight tension at the corner of his mouth, the way he held his jaw when he was choosing words instead of simply producing them." | | 4 | "It was something else — something with warmth buried in it like a coal under ash." | | 5 | "She thought about the moment in the Haverstock stairwell when he'd looked at her — really looked, stripped of the irony and the armour of the suit — and said her name in a way that suggested she might be the most alarming and inexplicable thing he'd encountered in thirty-two years of a life that had included quite a lot of alarming things." | | 6 | "She heard him move — the soft tap of the cane on the floorboards, then nothing, which meant he'd stopped." |
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| 90.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 973 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.047276464542651594 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.023638232271325797 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 13.23 | | std | 12.89 | | cv | 0.974 | | sampleLengths | | 0 | 7 | | 1 | 36 | | 2 | 29 | | 3 | 11 | | 4 | 29 | | 5 | 8 | | 6 | 8 | | 7 | 19 | | 8 | 17 | | 9 | 5 | | 10 | 8 | | 11 | 6 | | 12 | 14 | | 13 | 3 | | 14 | 53 | | 15 | 7 | | 16 | 2 | | 17 | 6 | | 18 | 5 | | 19 | 4 | | 20 | 6 | | 21 | 26 | | 22 | 30 | | 23 | 5 | | 24 | 2 | | 25 | 11 | | 26 | 11 | | 27 | 30 | | 28 | 12 | | 29 | 4 | | 30 | 4 | | 31 | 8 | | 32 | 50 | | 33 | 2 | | 34 | 13 | | 35 | 5 | | 36 | 19 | | 37 | 3 | | 38 | 6 | | 39 | 44 | | 40 | 4 | | 41 | 11 | | 42 | 6 | | 43 | 8 | | 44 | 4 | | 45 | 14 | | 46 | 13 | | 47 | 29 | | 48 | 6 | | 49 | 9 |
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| 51.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.375 | | totalSentences | 104 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 1.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 66 | | matches | | 0 | "She'd already worked a double," | | 1 | "She turned, one hand still" | | 2 | "His platinum hair caught the" | | 3 | "His mismatched eyes found her" | | 4 | "He had the audacity to" | | 5 | "She exhaled through her nose." | | 6 | "It wasn't an invitation so" | | 7 | "He paused just inside the" | | 8 | "She heard him navigate the" | | 9 | "He'd been here before." | | 10 | "He knew the terrain." | | 11 | "he said, not a question" | | 12 | "She set the takeaway containers" | | 13 | "She crossed her arms" | | 14 | "He turned to face her" | | 15 | "He was, in her experience," | | 16 | "he said finally" | | 17 | "He held her gaze steadily" | | 18 | "She'd replayed that conversation many" | | 19 | "She'd edited it in her" |
| | ratio | 0.545 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 66 | | matches | | 0 | "The second deadbolt was the" | | 1 | "Rory had learned to coax" | | 2 | "She'd already worked a double," | | 3 | "The knock came just as" | | 4 | "She turned, one hand still" | | 5 | "Charcoal suit, not a crease" | | 6 | "Ivory cane held loosely in" | | 7 | "His platinum hair caught the" | | 8 | "His mismatched eyes found her" | | 9 | "Rory didn't move from the" | | 10 | "He had the audacity to" | | 11 | "Rory had been there when" | | 12 | "The amber eye did something" | | 13 | "Ptolemy chose that moment to" | | 14 | "The cat regarded Lucien with" | | 15 | "She exhaled through her nose." | | 16 | "It wasn't an invitation so" | | 17 | "Lucien entered the way he" | | 18 | "He paused just inside the" | | 19 | "She heard him navigate the" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "He paused just inside the threshold while she relocked the deadbolts, all three, including the stubborn one, which cooperated immediately for her this time as i…" | | 1 | "She thought about the moment in the Haverstock stairwell when he'd looked at her — really looked, stripped of the irony and the armour of the suit — and said he…" | | 2 | "Ptolemy relocated from the sofa arm to Lucien's vacated spot, curled into a precise circle, and closed his eyes with an air of profound satisfaction, as though …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 1 | | matches | | 0 | "Lucien repeated slowly, as though he were examining the phrase" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "Lucien repeated slowly (repeat)" |
| | dialogueSentences | 52 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.154 | | effectiveRatio | 0.077 | |