| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said flatly [flatly]" |
| | dialogueSentences | 52 | | tagDensity | 0.365 | | leniency | 0.731 | | rawRatio | 0.053 | | effectiveRatio | 0.038 | |
| 97.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1721 | | 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) | |
| 62.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1721 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stomach" | | 1 | "vibrated" | | 2 | "weight" | | 3 | "effortless" | | 4 | "traced" | | 5 | "silence" | | 6 | "pulse" | | 7 | "flickered" | | 8 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1705 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1239 | | uniqueNames | 25 | | maxNameDensity | 1.37 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Eva | 4 | | Bruges | 1 | | Thursday | 1 | | Paris | 1 | | Milan | 1 | | London | 1 | | Fleet | 1 | | Street | 1 | | December | 1 | | Rory | 17 | | Shoreditch | 1 | | Doppler-shifting | 1 | | Cardiff | 2 | | University | 1 | | Lucien | 17 | | Moreau | 2 | | Ptolemy | 5 | | Seelie | 1 | | Armagnac | 1 | | Silence | 1 | | Avaros | 1 | | Evan | 2 | | Malphora | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Ptolemy" | | 5 | "Silence" | | 6 | "Evan" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Bruges" | | 3 | "Paris" | | 4 | "Milan" | | 5 | "London" | | 6 | "Fleet" | | 7 | "Street" | | 8 | "December" | | 9 | "Shoreditch" | | 10 | "Cardiff" |
| | globalScore | 0.814 | | windowScore | 0.667 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like the truth" | | 1 | "felt like a confession" |
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| 82.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.173 | | wordCount | 1705 | | matches | | 0 | "not angry but weary" | | 1 | "not as a broker assessing a client, but as someone cataloguing a ghost" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 27.06 | | std | 19.41 | | cv | 0.717 | | sampleLengths | | 0 | 57 | | 1 | 65 | | 2 | 35 | | 3 | 16 | | 4 | 18 | | 5 | 68 | | 6 | 53 | | 7 | 17 | | 8 | 9 | | 9 | 5 | | 10 | 45 | | 11 | 8 | | 12 | 38 | | 13 | 21 | | 14 | 17 | | 15 | 59 | | 16 | 65 | | 17 | 16 | | 18 | 68 | | 19 | 15 | | 20 | 28 | | 21 | 13 | | 22 | 15 | | 23 | 9 | | 24 | 68 | | 25 | 9 | | 26 | 56 | | 27 | 11 | | 28 | 53 | | 29 | 23 | | 30 | 42 | | 31 | 24 | | 32 | 33 | | 33 | 39 | | 34 | 6 | | 35 | 51 | | 36 | 24 | | 37 | 14 | | 38 | 10 | | 39 | 22 | | 40 | 5 | | 41 | 5 | | 42 | 27 | | 43 | 45 | | 44 | 27 | | 45 | 29 | | 46 | 29 | | 47 | 29 | | 48 | 20 | | 49 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 219 | | matches | | 0 | "wasn’t happening" | | 1 | "was deafening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 143 | | ratio | 0.077 | | matches | | 0 | "The rap of knuckles against wood cut through the murmur of late-night Brick Lane—three sharp strikes, deliberate, a rhythm she hadn’t heard in eight months." | | 1 | "She pulled the door open six inches and met a pair of mismatched eyes—one amber, one black as a bullet hole—set in a face that hadn’t changed since she’d walked out of his office on Fleet Street and into a December downpour." | | 2 | "Lucien’s mouth quirked—almost a smile, almost something else." | | 3 | "He surveyed the room with a broker’s efficiency—cataloguing exits, evaluating threats—then unhooked a single button of his jacket and eased himself onto the edge of Eva’s writing chair, a rickety thing that groaned under his weight." | | 4 | "The name she’d used in the subterranean markets of Avaros—a persona she’d built stone by stone, deal by deal, until it almost fit." | | 5 | "Lucien’s gaze dropped to the crescent scar on her wrist—visible now because she’d crossed her arms and the sleeve had ridden up." | | 6 | "Lucien’s expression flickered—guilt, anger, something older." | | 7 | "The words stripped something away—a layer of armour she’d been clinging to, the story she’d told herself about who was right and who was wrong and why she’d ended up alone in a friend’s flat above a curry house." | | 8 | "She poured two mugs anyway—chipped, mismatched—and slid one across the counter to him." | | 9 | "She just stood there, still in her bare feet, still in her friend’s flat, still—somehow—exactly where Lucien Moreau could find her." | | 10 | "As she laced them, she saw him watching her—not as a broker assessing a client, but as someone cataloguing a ghost that had finally stopped running." |
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| 97.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1259 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.04289118347895155 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007942811755361398 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 11.92 | | std | 8.35 | | cv | 0.7 | | sampleLengths | | 0 | 25 | | 1 | 13 | | 2 | 19 | | 3 | 3 | | 4 | 12 | | 5 | 13 | | 6 | 20 | | 7 | 14 | | 8 | 3 | | 9 | 21 | | 10 | 14 | | 11 | 16 | | 12 | 2 | | 13 | 15 | | 14 | 1 | | 15 | 7 | | 16 | 16 | | 17 | 2 | | 18 | 1 | | 19 | 42 | | 20 | 12 | | 21 | 11 | | 22 | 13 | | 23 | 17 | | 24 | 17 | | 25 | 6 | | 26 | 3 | | 27 | 5 | | 28 | 10 | | 29 | 3 | | 30 | 23 | | 31 | 9 | | 32 | 8 | | 33 | 33 | | 34 | 5 | | 35 | 21 | | 36 | 8 | | 37 | 9 | | 38 | 6 | | 39 | 21 | | 40 | 12 | | 41 | 20 | | 42 | 10 | | 43 | 12 | | 44 | 7 | | 45 | 36 | | 46 | 13 | | 47 | 3 | | 48 | 24 | | 49 | 26 |
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| 58.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3706293706293706 | | totalSentences | 143 | | uniqueOpeners | 53 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Instead, she stepped aside, because" |
| | ratio | 0.011 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 95 | | matches | | 0 | "She didn’t move." | | 1 | "She crossed the rug in" | | 2 | "She pulled the door open" | | 3 | "He stood with his weight" | | 4 | "he said, and the lie" | | 5 | "She wore an oversized Cardiff" | | 6 | "He never arrived without a" | | 7 | "He crossed the threshold and" | | 8 | "He surveyed the room with" | | 9 | "he said, spotting the tabby’s" | | 10 | "She’d mopped the residue while" | | 11 | "She pulled the sleeves of" | | 12 | "He didn’t answer immediately." | | 13 | "His gloved fingers traced the" | | 14 | "She stopped herself" | | 15 | "He’d kissed that scar once," | | 16 | "he said, and his voice" | | 17 | "she said over her shoulder" | | 18 | "He didn’t know about any" | | 19 | "He rose from the chair," |
| | ratio | 0.316 | |
| 17.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 95 | | matches | | 0 | "The rap of knuckles against" | | 1 | "Rory glanced up from her" | | 2 | "Ptolemy, the tabby, uncoiled from" | | 3 | "She didn’t move." | | 4 | "The deadbolts glinted in the" | | 5 | "Eva was in Bruges for" | | 6 | "The curry house downstairs had" | | 7 | "Another knock, softer this time," | | 8 | "Rory’s stomach dropped." | | 9 | "She crossed the rug in" | | 10 | "The wood vibrated with the" | | 11 | "Rory’s fingers hovered over the" | | 12 | "The crescent scar on her" | | 13 | "She pulled the door open" | | 14 | "Platinum hair was slicked back" | | 15 | "Charcoal suit, as always, the" | | 16 | "The ivory-handled cane hung loosely" | | 17 | "He stood with his weight" | | 18 | "he said, and the lie" | | 19 | "Rory didn’t open the door" |
| | ratio | 0.884 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 3 | | matches | | 0 | "She wore an oversized Cardiff University jumper, the sleeves drooping past her knuckles, and a pair of joggers that had seen better days." | | 1 | "He surveyed the room with a broker’s efficiency—cataloguing exits, evaluating threats—then unhooked a single button of his jacket and eased himself onto the edg…" | | 2 | "As she laced them, she saw him watching her—not as a broker assessing a client, but as someone cataloguing a ghost that had finally stopped running." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, and the lie was so effortless it almost sounded like the truth" | | 1 | "Lucien shifted, the tip tapping once against the warped hallway floor" | | 2 | "Lucien leaned, the chair creaking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 52 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.077 | | effectiveRatio | 0.038 | |