| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 62.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1189 | | totalAiIsmAdverbs | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "nervously" | | 1 | "perfectly" | | 2 | "suddenly" | | 3 | "reluctantly" | | 4 | "carefully" | | 5 | "slowly" |
| |
| 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) | |
| 20.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1189 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "echoing" | | 1 | "chill" | | 2 | "shattered" | | 3 | "perfect" | | 4 | "disrupted" | | 5 | "pulsed" | | 6 | "glinting" | | 7 | "flicker" | | 8 | "firmly" | | 9 | "chaotic" | | 10 | "etched" | | 11 | "weight" | | 12 | "familiar" | | 13 | "depths" | | 14 | "racing" | | 15 | "potential" | | 16 | "sinister" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | 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 | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1189 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 742 | | uniqueNames | 10 | | maxNameDensity | 3.1 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 23 | | Tube | 1 | | Veil | 3 | | Market | 2 | | Sergeant | 1 | | Davies | 5 | | Eva | 9 | | Kowalski | 1 | | Compass | 2 | | Shade | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Sergeant" | | 2 | "Davies" | | 3 | "Eva" | | 4 | "Kowalski" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 1189 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 33.03 | | std | 22.99 | | cv | 0.696 | | sampleLengths | | 0 | 76 | | 1 | 67 | | 2 | 9 | | 3 | 52 | | 4 | 32 | | 5 | 79 | | 6 | 4 | | 7 | 29 | | 8 | 10 | | 9 | 62 | | 10 | 11 | | 11 | 38 | | 12 | 9 | | 13 | 21 | | 14 | 5 | | 15 | 16 | | 16 | 14 | | 17 | 24 | | 18 | 17 | | 19 | 92 | | 20 | 40 | | 21 | 37 | | 22 | 9 | | 23 | 27 | | 24 | 15 | | 25 | 29 | | 26 | 57 | | 27 | 32 | | 28 | 28 | | 29 | 9 | | 30 | 48 | | 31 | 17 | | 32 | 20 | | 33 | 48 | | 34 | 39 | | 35 | 67 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 51.85% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 135 | | matches | | 0 | "was beginning" | | 1 | "was starting" | | 2 | "was pulling" |
| |
| 5.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 104 | | ratio | 0.048 | | matches | | 0 | "A man, late fifties maybe, sprawled face-down near a vendor stall that had been selling vials of shimmering liquid – alchemical tinctures, judging by the shattered glass and residual scent." | | 1 | "Stalls lay overturned, wares scattered – dried herbs, carved bone trinkets, bizarre, unidentifiable objects glinting under the harsh fluorescent light." | | 2 | "Eva chewed on her lower lip, tucking a strand of curly red hair behind her left ear – her signature nervous habit." | | 3 | "It wasn't just cool; it felt…" | | 4 | "A memory surfaced, dredged from the murky depths of her mind – a briefing from MI13, a shadowy organization that dealt with the inexplicable." |
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| 79.17% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 711 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.052039381153305204 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.03234880450070324 | |
| 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 | 11.43 | | std | 9.2 | | cv | 0.805 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 13 | | 3 | 3 | | 4 | 11 | | 5 | 18 | | 6 | 14 | | 7 | 30 | | 8 | 5 | | 9 | 3 | | 10 | 15 | | 11 | 9 | | 12 | 11 | | 13 | 32 | | 14 | 9 | | 15 | 5 | | 16 | 13 | | 17 | 9 | | 18 | 3 | | 19 | 1 | | 20 | 1 | | 21 | 14 | | 22 | 5 | | 23 | 12 | | 24 | 20 | | 25 | 14 | | 26 | 14 | | 27 | 4 | | 28 | 29 | | 29 | 7 | | 30 | 2 | | 31 | 1 | | 32 | 41 | | 33 | 21 | | 34 | 9 | | 35 | 2 | | 36 | 22 | | 37 | 16 | | 38 | 9 | | 39 | 21 | | 40 | 5 | | 41 | 6 | | 42 | 10 | | 43 | 7 | | 44 | 7 | | 45 | 24 | | 46 | 12 | | 47 | 5 | | 48 | 3 | | 49 | 31 |
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| 76.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5 | | totalSentences | 104 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 74 | | matches | | 0 | "Officially, it was just an" | | 1 | "Unofficially, it was a place" | | 2 | "Almost like finely ground dust." | | 3 | "Suddenly, it clicked." |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 74 | | matches | | 0 | "She knelt beside the body," | | 1 | "He gestured with his pen" | | 2 | "It was oddly precise, a" | | 3 | "She stood, her closely cropped" | | 4 | "Her gaze swept the market." | | 5 | "She then noticed Eva Kowalski" | | 6 | "She held it out, allowing" | | 7 | "She’d acquired it during a" | | 8 | "It was her insurance policy" | | 9 | "She crouched down, her sharp" | | 10 | "It wasn't just cool; it" | | 11 | "It was beginning to coalesce." | | 12 | "She looked at Eva then" | | 13 | "It was a carefully orchestrated" |
| | ratio | 0.189 | |
| 61.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 74 | | matches | | 0 | "The air tasted of damp" | | 1 | "Harlow Quinn ignored it, her" | | 2 | "The Veil Market." | | 3 | "She knelt beside the body," | | 4 | "A man, late fifties maybe," | | 5 | "Quinn asked, her voice flat," | | 6 | "Sergeant Davies, a fresh-faced constable" | | 7 | "He gestured with his pen" | | 8 | "Quinn examined the scorch mark." | | 9 | "It was oddly precise, a" | | 10 | "The residue felt cool to" | | 11 | "She stood, her closely cropped" | | 12 | "Her gaze swept the market." | | 13 | "A handful of vendors huddled" | | 14 | "The full moon was high" | | 15 | "Quinn asked Davies" | | 16 | "Quinn scoffed internally at the" | | 17 | "She then noticed Eva Kowalski" | | 18 | "Eva had been a fixture" | | 19 | "Quinn said, acknowledging her with" |
| | ratio | 0.797 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Even in its disrupted state," |
| | ratio | 0.014 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "A man, late fifties maybe, sprawled face-down near a vendor stall that had been selling vials of shimmering liquid – alchemical tinctures, judging by the shatte…" | | 1 | "It was her insurance policy against the things that went bump in the night, the things that defied logic and reason." | | 2 | "A memory surfaced, dredged from the murky depths of her mind – a briefing from MI13, a shadowy organization that dealt with the inexplicable." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn asked, her voice flat, clipped" | | 1 | "Quinn said, her voice quiet, almost to herself" | | 2 | "She crouched down, her sharp jawline tightening, again examining the scorch mark" | | 3 | "Quinn called out, her voice gaining an edge" | | 4 | "Quinn stood, her gaze sweeping the platform once more" | | 5 | "Quinn said, her voice low and dangerous" |
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| 41.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn pressed (press)" | | 1 | "Eva conceded (concede)" | | 2 | "Quinn summarized (summarize)" | | 3 | "Quinn called out (call out)" |
| | dialogueSentences | 37 | | tagDensity | 0.27 | | leniency | 0.541 | | rawRatio | 0.4 | | effectiveRatio | 0.216 | |