| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 741 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 39.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 741 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "shattered" | | 1 | "chill" | | 2 | "pulsed" | | 3 | "electric" | | 4 | "silence" | | 5 | "stomach" | | 6 | "flickered" | | 7 | "etched" | | 8 | "pulse" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 732 | | ratio | 0.008 | | matches | | 0 | "The Veil takes what it’s owed." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 602 | | uniqueNames | 8 | | maxNameDensity | 2.99 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 18 | | Morris | 2 | | Kowalski | 1 | | Eva | 11 | | English | 1 | | Veil | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Veil" |
| | places | (empty) | | globalScore | 0.005 | | windowScore | 0.333 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared under the full moon, where things that shouldn’t exist changed hands" | | 1 | "sigils that seemed to shift when Quinn looked too long" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 732 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 19.78 | | std | 15.52 | | cv | 0.784 | | sampleLengths | | 0 | 61 | | 1 | 37 | | 2 | 8 | | 3 | 58 | | 4 | 6 | | 5 | 15 | | 6 | 10 | | 7 | 20 | | 8 | 55 | | 9 | 18 | | 10 | 35 | | 11 | 5 | | 12 | 7 | | 13 | 43 | | 14 | 9 | | 15 | 11 | | 16 | 16 | | 17 | 17 | | 18 | 34 | | 19 | 17 | | 20 | 6 | | 21 | 16 | | 22 | 11 | | 23 | 12 | | 24 | 25 | | 25 | 4 | | 26 | 46 | | 27 | 21 | | 28 | 12 | | 29 | 6 | | 30 | 9 | | 31 | 8 | | 32 | 24 | | 33 | 13 | | 34 | 21 | | 35 | 4 | | 36 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 110 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 92 | | ratio | 0.065 | | matches | | 0 | "The flickering overhead lights cast long, jagged shadows across the graffiti-scarred walls—tags that hadn’t been there yesterday, if the crime scene photos were to be believed." | | 1 | "Quinn exhaled through her nose, the sharp tang of antiseptic and something metallic—copper, maybe—stinging her throat." | | 2 | "Just a single, deep gash across the throat—clean, precise." | | 3 | "Some of it was writing—old, looping script carved into the walls." | | 4 | "She’d heard the whispers—underground chatter about a black market that only appeared under the full moon, where things that shouldn’t exist changed hands." | | 5 | "The screen flickered—once, twice—before the image glitched, pixels bleeding into static." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 611 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03927986906710311 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008183306055646482 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 7.96 | | std | 5.72 | | cv | 0.719 | | sampleLengths | | 0 | 21 | | 1 | 14 | | 2 | 26 | | 3 | 14 | | 4 | 16 | | 5 | 5 | | 6 | 2 | | 7 | 8 | | 8 | 2 | | 9 | 16 | | 10 | 6 | | 11 | 22 | | 12 | 12 | | 13 | 3 | | 14 | 3 | | 15 | 4 | | 16 | 11 | | 17 | 4 | | 18 | 6 | | 19 | 15 | | 20 | 5 | | 21 | 7 | | 22 | 18 | | 23 | 16 | | 24 | 2 | | 25 | 3 | | 26 | 9 | | 27 | 14 | | 28 | 4 | | 29 | 5 | | 30 | 11 | | 31 | 13 | | 32 | 6 | | 33 | 5 | | 34 | 3 | | 35 | 4 | | 36 | 7 | | 37 | 5 | | 38 | 11 | | 39 | 2 | | 40 | 5 | | 41 | 13 | | 42 | 9 | | 43 | 6 | | 44 | 5 | | 45 | 7 | | 46 | 6 | | 47 | 3 | | 48 | 4 | | 49 | 4 |
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| 42.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.29347826086956524 | | totalSentences | 92 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 66 | | matches | | 0 | "Just a single, deep gash" | | 1 | "Then Eva exhaled, sharp." | | 2 | "Just those words, scrawled in" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 66 | | matches | | 0 | "She didn’t touch the tag." | | 1 | "She crouched, her gloved fingers" | | 2 | "It pulsed faintly, like a" | | 3 | "She didn’t have to." | | 4 | "she asked, low" | | 5 | "She’d heard the whispers—underground chatter" | | 6 | "She turned back to the" | | 7 | "She pulled out her phone," | | 8 | "She pulled out a small" | | 9 | "She didn’t ask." | | 10 | "She didn’t need to." |
| | ratio | 0.167 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 66 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The flickering overhead lights cast" | | 3 | "DS Morris’s name tag still" | | 4 | "Quinn exhaled through her nose," | | 5 | "She didn’t touch the tag." | | 6 | "Forensics had already cordoned off" | | 7 | "A woman in a rumpled" | | 8 | "Eva Kowalski didn’t flinch." | | 9 | "Quinn ignored the jab." | | 10 | "Eva jerked her chin toward" | | 11 | "Quinn stepped closer, her sharp" | | 12 | "The platform stretched ahead, the" | | 13 | "The body lay near the" | | 14 | "Quinn didn’t look at him." | | 15 | "She crouched, her gloved fingers" | | 16 | "The metal was cold, but" | | 17 | "It pulsed faintly, like a" | | 18 | "Eva didn’t answer." | | 19 | "She didn’t have to." |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 3 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older, something that clung to the air like a low hum." | | 1 | "She’d heard the whispers—underground chatter about a black market that only appeared under the full moon, where things that shouldn’t exist changed hands." | | 2 | "Eva was already moving, her satchel hitting the ground with a thud." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "said the uniformed officer nearby, his voice too loud in the hollow space" | | 1 | "she asked, low" | | 2 | "Quinn said, voice flat" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "said the uniformed officer nearby (say uniform)" | | 1 | "she muttered (mutter)" | | 2 | "she muttered (mutter)" |
| | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.333 | | effectiveRatio | 0.25 | |