| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "he said quietly [quietly]" | | 2 | "He crouched then [then]" |
| | dialogueSentences | 56 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.15 | | effectiveRatio | 0.107 | |
| 67.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1553 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
| | 5 | |
| | highlights | | 0 | "really" | | 1 | "very" | | 2 | "quickly" | | 3 | "slowly" | | 4 | "deliberately" | | 5 | "gently" |
| |
| 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) | |
| 87.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1553 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "flickered" | | 3 | "measured" |
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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 | 99 | | matches | (empty) | |
| 56.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1565 | | ratio | 0.003 | | matches | | 0 | "business in Vienna" | | 1 | "business" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1147 | | uniqueNames | 15 | | maxNameDensity | 0.87 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Brick | 1 | | Lane | 1 | | Cardiff | 2 | | Moreau | 1 | | Geneva | 2 | | Yu-Fei | 1 | | Eva | 2 | | June | 1 | | Silas | 2 | | Greek | 1 | | Ptolemy | 7 | | London | 1 | | Lucien | 6 | | Liberty | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Ptolemy" | | 5 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" | | 3 | "Geneva" | | 4 | "Yu-Fei" | | 5 | "June" | | 6 | "Greek" | | 7 | "London" | | 8 | "Liberty" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1565 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 136 | | matches | | 0 | "spiced that she" | | 1 | "studying that face" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 23.36 | | std | 23.78 | | cv | 1.018 | | sampleLengths | | 0 | 61 | | 1 | 32 | | 2 | 69 | | 3 | 6 | | 4 | 16 | | 5 | 3 | | 6 | 17 | | 7 | 25 | | 8 | 84 | | 9 | 13 | | 10 | 5 | | 11 | 1 | | 12 | 6 | | 13 | 24 | | 14 | 3 | | 15 | 3 | | 16 | 50 | | 17 | 5 | | 18 | 15 | | 19 | 75 | | 20 | 51 | | 21 | 8 | | 22 | 5 | | 23 | 46 | | 24 | 8 | | 25 | 2 | | 26 | 4 | | 27 | 37 | | 28 | 14 | | 29 | 48 | | 30 | 57 | | 31 | 8 | | 32 | 5 | | 33 | 2 | | 34 | 3 | | 35 | 50 | | 36 | 34 | | 37 | 6 | | 38 | 18 | | 39 | 22 | | 40 | 2 | | 41 | 49 | | 42 | 1 | | 43 | 34 | | 44 | 14 | | 45 | 7 | | 46 | 4 | | 47 | 8 | | 48 | 47 | | 49 | 35 |
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| 98.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 99 | | matches | | 0 | "been stitched" | | 1 | "been judged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 181 | | matches | | 0 | "wasn't holding" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 136 | | ratio | 0.051 | | matches | | 0 | "His cane — ivory-handled, that ridiculous, beautiful cane — was hooked over his forearm." | | 1 | "She'd thought about it often enough in the months since Geneva — the precise choreography of a slammed door, the satisfying click of a lock, the silence that followed." | | 2 | "The flat swallowed them both — too small, too warm, smelling of chamomile and takeaway and the lavender candle Eva had left behind in June." | | 3 | "\"No.\" He looked at her then — really looked, the way he used to, the way that made the back of her neck prickle and her palms go damp and her brain go traitorously quiet." | | 4 | "From this angle she could see the faint line of a scar at his collar — old, silvered, the kind that didn't come from a kitchen knife." | | 5 | "He turned the cane over in his hands — no, he wasn't holding the cane, she'd left it by the door." | | 6 | "Not quickly — Lucien never did anything quickly — but with a deliberation that pressed all the air out of the space between them." |
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| 90.70% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 316 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.05063291139240506 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.012658227848101266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 11.51 | | std | 11.34 | | cv | 0.986 | | sampleLengths | | 0 | 21 | | 1 | 18 | | 2 | 22 | | 3 | 9 | | 4 | 3 | | 5 | 15 | | 6 | 5 | | 7 | 31 | | 8 | 38 | | 9 | 2 | | 10 | 3 | | 11 | 1 | | 12 | 8 | | 13 | 2 | | 14 | 6 | | 15 | 3 | | 16 | 12 | | 17 | 5 | | 18 | 8 | | 19 | 17 | | 20 | 13 | | 21 | 29 | | 22 | 14 | | 23 | 13 | | 24 | 15 | | 25 | 7 | | 26 | 6 | | 27 | 5 | | 28 | 1 | | 29 | 6 | | 30 | 16 | | 31 | 8 | | 32 | 3 | | 33 | 3 | | 34 | 6 | | 35 | 29 | | 36 | 9 | | 37 | 6 | | 38 | 5 | | 39 | 12 | | 40 | 3 | | 41 | 3 | | 42 | 4 | | 43 | 5 | | 44 | 38 | | 45 | 25 | | 46 | 10 | | 47 | 1 | | 48 | 2 | | 49 | 2 |
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| 42.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3161764705882353 | | totalSentences | 136 | | uniqueOpeners | 43 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "More the absence of one." | | 1 | "Somewhere below, Silas dropped a" |
| | ratio | 0.023 | |
| 52.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 86 | | matches | | 0 | "She set the mug down" | | 1 | "Her fingers hesitated on the" | | 2 | "Her hand moved before the" | | 3 | "His cane — ivory-handled, that" | | 4 | "They didn't move for a" | | 5 | "He tilted his head, the" | | 6 | "She should have closed the" | | 7 | "She'd thought about it often" | | 8 | "She'd rehearsed it on the" | | 9 | "She'd practised it in the" | | 10 | "He shifted his weight, and" | | 11 | "His gaze returned to her." | | 12 | "He leaned the cane against" | | 13 | "He looked at her then" | | 14 | "She dropped back onto the" | | 15 | "She stroked his ears without" | | 16 | "He moved to the window" | | 17 | "he said to the glass" | | 18 | "He turned the cane over" | | 19 | "He turned his signet ring" |
| | ratio | 0.419 | |
| 12.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 86 | | matches | | 0 | "The knock came at half" | | 1 | "Rory paused over the chipped" | | 2 | "Ptolemy lifted his tabby head" | | 3 | "Delivery drivers phoned." | | 4 | "Eva texted first, always, a" | | 5 | "Silas used his own key." | | 6 | "She set the mug down" | | 7 | "The hallway smelled of damp" | | 8 | "Rory undid the first of" | | 9 | "Her fingers hesitated on the" | | 10 | "A pause, weighted with something" | | 11 | "Her hand moved before the" | | 12 | "The third deadbolt clicked, and" | | 13 | "Lucien Moreau stood in the" | | 14 | "The charcoal of his three-piece" | | 15 | "His cane — ivory-handled, that" | | 16 | "Platinum hair pushed back from" | | 17 | "They didn't move for a" | | 18 | "Ptolemy yawned audibly from the" | | 19 | "He tilted his head, the" |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 11.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 7 | | matches | | 0 | "The hallway smelled of damp plaster and the curry house two doors down, the same smell that had greeted her the night she'd fled Cardiff with a single suitcase …" | | 1 | "The charcoal of his three-piece suit caught the weak hallway bulb in a way that made the fabric look almost liquid, the shoulders cut sharp, the waist nipped in…" | | 2 | "She'd thought about it often enough in the months since Geneva — the precise choreography of a slammed door, the satisfying click of a lock, the silence that fo…" | | 3 | "The door drifted open wide enough for him to slip through, and he did, moving with that careful, fluid economy that had always made her wonder which parts of hi…" | | 4 | "She'd practised them softer, cleverer, wrapped in the kind of wit that had carried her through Cardiff and London and the long, grey months after Geneva." | | 5 | "He was watching her with that particular stillness he had, the kind that made her feel like every thought in her head was being quietly translated into a langua…" | | 6 | "The half-demon looked down at the tabby with the bewildered expression of a man who had just been judged and found sufficient." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 2 | | matches | | 0 | "He tilted, the ghost of something at the corner of his mouth" | | 1 | "He shifted, and the cane caught the light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "She laughed (laugh)" |
| | dialogueSentences | 56 | | tagDensity | 0.196 | | leniency | 0.393 | | rawRatio | 0.182 | | effectiveRatio | 0.071 | |