| 97.44% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "He hesitated clearly [clearly]" | | 1 | "Quinn said grimly [grimly]" |
| | dialogueSentences | 39 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.111 | | effectiveRatio | 0.103 | |
| 83.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1249 | | totalAiIsmAdverbs | 4 | | 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) | |
| 3.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1249 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "rhythmic" | | 1 | "scanned" | | 2 | "warmth" | | 3 | "velvet" | | 4 | "weight" | | 5 | "sense of" | | 6 | "etched" | | 7 | "echoes" | | 8 | "testament" | | 9 | "whisper" | | 10 | "complex" | | 11 | "fractured" | | 12 | "traced" | | 13 | "racing" | | 14 | "flickered" | | 15 | "dancing" | | 16 | "charged" | | 17 | "palpable" | | 18 | "reminder" | | 19 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 62 | | matches | | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1258 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 862 | | uniqueNames | 13 | | maxNameDensity | 1.51 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 13 | | Kowalski | 1 | | Sergeant | 1 | | Davies | 6 | | Veil | 5 | | Market | 2 | | Metropolitan | 1 | | Police | 1 | | Morris | 2 | | Compass | 3 | | Eva | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Sergeant" | | 4 | "Davies" | | 5 | "Market" | | 6 | "Morris" | | 7 | "Compass" | | 8 | "Eva" |
| | places | (empty) | | globalScore | 0.746 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "He nodded, visibly relieved to have a" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.795 | | wordCount | 1258 | | matches | | 0 | "not from the present, but from countless lifetimes" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 39.31 | | std | 20.45 | | cv | 0.52 | | sampleLengths | | 0 | 64 | | 1 | 50 | | 2 | 61 | | 3 | 11 | | 4 | 41 | | 5 | 41 | | 6 | 22 | | 7 | 78 | | 8 | 80 | | 9 | 30 | | 10 | 26 | | 11 | 9 | | 12 | 46 | | 13 | 49 | | 14 | 22 | | 15 | 76 | | 16 | 24 | | 17 | 59 | | 18 | 11 | | 19 | 57 | | 20 | 21 | | 21 | 44 | | 22 | 47 | | 23 | 16 | | 24 | 38 | | 25 | 40 | | 26 | 20 | | 27 | 17 | | 28 | 63 | | 29 | 17 | | 30 | 52 | | 31 | 26 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "were plastered" | | 1 | "were splayed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 83 | | ratio | 0.108 | | matches | | 0 | "The air smelled of mildew, ozone, and something acrid – burnt sugar, maybe, or something far older." | | 1 | "She held a leather satchel close, its contents – stacks of aged parchment and a scattering of colored pencils – offering little warmth." | | 2 | "A man in his late fifties, impeccably dressed in a charcoal grey suit that looked absurdly out of place, had been meticulously arranged – a grotesque tableau." | | 3 | "A place whispered about in hushed tones amongst certain circles of the Metropolitan Police – a subterranean bazaar dealing in the impossible." | | 4 | "“So, the killer wasn’t just killing someone; he was manipulating time, or at least leaving a trace of it.”" | | 5 | "It resembled dried blood, but the texture was subtly wrong – smoother, almost gelatinous." | | 6 | "Quinn ignored her, focusing on the newly revealed pattern – a faint outline of a location, almost invisible against the damp concrete." | | 7 | "A ripple spread outwards, revealing a section of the wall beneath – a meticulously crafted doorway, masked by a clever illusion." | | 8 | "The air grew thick with the scent of ozone and something darker – the metallic tang of blood, not from the present, but from countless lifetimes." |
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| 82.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 853 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.04572098475967175 | | lyAdverbCount | 30 | | lyAdverbRatio | 0.035169988276670575 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 15.16 | | std | 7.01 | | cv | 0.463 | | sampleLengths | | 0 | 18 | | 1 | 11 | | 2 | 18 | | 3 | 17 | | 4 | 14 | | 5 | 13 | | 6 | 23 | | 7 | 22 | | 8 | 27 | | 9 | 12 | | 10 | 11 | | 11 | 11 | | 12 | 18 | | 13 | 12 | | 14 | 6 | | 15 | 19 | | 16 | 16 | | 17 | 12 | | 18 | 10 | | 19 | 3 | | 20 | 22 | | 21 | 20 | | 22 | 12 | | 23 | 21 | | 24 | 18 | | 25 | 13 | | 26 | 26 | | 27 | 23 | | 28 | 9 | | 29 | 21 | | 30 | 7 | | 31 | 19 | | 32 | 3 | | 33 | 6 | | 34 | 13 | | 35 | 19 | | 36 | 14 | | 37 | 23 | | 38 | 26 | | 39 | 14 | | 40 | 8 | | 41 | 16 | | 42 | 14 | | 43 | 13 | | 44 | 14 | | 45 | 19 | | 46 | 12 | | 47 | 12 | | 48 | 6 | | 49 | 16 |
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| 63.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.43373493975903615 | | totalSentences | 83 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 97.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 62 | | matches | | 0 | "Her red curls, usually a" | | 1 | "She held a leather satchel" | | 2 | "His fingers were splayed, a" | | 3 | "He hesitated, clearly uncomfortable" | | 4 | "She examined the velvet, the" | | 5 | "It moved locations every full" | | 6 | "she said, carefully pulling a" | | 7 | "It was a Veil Compass," | | 8 | "She pulled out a small" | | 9 | "It resembled dried blood, but" | | 10 | "she stated, reaching for a" | | 11 | "She turned to face Davies," | | 12 | "He nodded, visibly relieved to" | | 13 | "She carefully traced the shimmering" | | 14 | "She paused, her gaze hardening" | | 15 | "She pulled out a small," | | 16 | "She moved towards the doorway," | | 17 | "She adjusted the strap, a" | | 18 | "she called, her voice echoing" |
| | ratio | 0.306 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 62 | | matches | | 0 | "Steam snaked from leaky pipes," | | 1 | "Detective Harlow Quinn adjusted her" | | 2 | "The air smelled of mildew," | | 3 | "Eva Kowalski muttered, adjusting her" | | 4 | "Her red curls, usually a" | | 5 | "She held a leather satchel" | | 6 | "The victim lay sprawled on" | | 7 | "A man in his late" | | 8 | "His fingers were splayed, a" | | 9 | "Quinn asked, her voice flat," | | 10 | "Sergeant Davies replied, his face" | | 11 | "He hesitated, clearly uncomfortable" | | 12 | "Quinn knelt, ignoring Davies’s raised" | | 13 | "She examined the velvet, the" | | 14 | "Davies said, shifting his weight" | | 15 | "The Veil Market." | | 16 | "A place whispered about in" | | 17 | "It moved locations every full" | | 18 | "Quinn had investigated it once," | | 19 | "The case had ended with" |
| | ratio | 0.952 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Before Davies could respond, Quinn" |
| | ratio | 0.016 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "A man in his late fifties, impeccably dressed in a charcoal grey suit that looked absurdly out of place, had been meticulously arranged – a grotesque tableau." | | 1 | "She adjusted the strap, a subtle reminder of her partner, DS Morris, and the case that had haunted her for three years." | | 2 | "A case that had taught her to trust her instincts, to see beyond the surface, and to confront the darkness lurking beneath the veneer of reality." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 8 | | matches | | 0 | "Quinn asked, her voice flat, devoid of inflection" | | 1 | "Sergeant Davies replied, his face pale in the lamplight" | | 2 | "Eva finished, her voice barely a whisper" | | 3 | "Eva supplied, her fingers automatically sketching in her satchel" | | 4 | "Quinn said, her voice sharpening" | | 5 | "She turned, her expression unyielding" | | 6 | "She paused, her gaze hardening" | | 7 | "she called, her voice echoing slightly in the confined space" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "Eva Kowalski muttered (mutter)" | | 1 | "Quinn repeated (repeat)" | | 2 | "she stated (state)" |
| | dialogueSentences | 39 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.25 | | effectiveRatio | 0.154 | |