| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 689 | | totalAiIsmAdverbs | 2 | | 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) | |
| 12.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 689 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "navigated" | | 1 | "tension" | | 2 | "stomach" | | 3 | "potential" | | 4 | "unravel" | | 5 | "gleaming" | | 6 | "velvet" | | 7 | "racing" | | 8 | "complex" | | 9 | "determined" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 37 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 37 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 44 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 697 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 461 | | uniqueNames | 12 | | maxNameDensity | 4.34 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Tube | 1 | | Veil | 3 | | Market | 1 | | Inspector | 1 | | Lee | 6 | | Quasar | 1 | | Compass | 2 | | Shade | 1 | | Eva | 6 | | Kowalski | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Inspector" | | 3 | "Lee" | | 4 | "Quasar" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | 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 | 697 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 44 | | matches | (empty) | |
| 81.17% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 36.68 | | std | 15.92 | | cv | 0.434 | | sampleLengths | | 0 | 67 | | 1 | 43 | | 2 | 34 | | 3 | 39 | | 4 | 66 | | 5 | 12 | | 6 | 25 | | 7 | 40 | | 8 | 18 | | 9 | 29 | | 10 | 55 | | 11 | 45 | | 12 | 17 | | 13 | 38 | | 14 | 41 | | 15 | 28 | | 16 | 27 | | 17 | 57 | | 18 | 16 |
| |
| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 37 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 81 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 44 | | ratio | 0.136 | | matches | | 0 | "She'd been trying to infiltrate this supernatural black market for months, and now, it seemed, it had come to her – in the form of a crime scene." | | 1 | "Quinn's stomach tightened – another unexplained death, another potential supernatural link to unravel." | | 2 | "Quinn's mind whirred – a Veil Compass, crafted by Shade artisans, known to point toward supernatural rifts or portals." | | 3 | "She carefully plucked it from the victim's chest, the needle wobbling before settling – pointing toward a nearby stall, draped in tattered velvet." | | 4 | "The vendor pushed back its hood, revealing a shock of curly red hair – Eva Kowalski, the occult researcher." | | 5 | "The Veil Compass, the lack of forced entry or struggle, and now, Eva Kowalski's involvement – all hinted at a larger, more complex scenario." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 456 | | adjectiveStacks | 1 | | stackExamples | | 0 | "larger, more complex scenario." |
| | adverbCount | 4 | | adverbRatio | 0.008771929824561403 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006578947368421052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 44 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 44 | | mean | 15.84 | | std | 7.72 | | cv | 0.487 | | sampleLengths | | 0 | 22 | | 1 | 14 | | 2 | 3 | | 3 | 28 | | 4 | 14 | | 5 | 16 | | 6 | 13 | | 7 | 11 | | 8 | 13 | | 9 | 10 | | 10 | 11 | | 11 | 28 | | 12 | 9 | | 13 | 12 | | 14 | 21 | | 15 | 19 | | 16 | 5 | | 17 | 12 | | 18 | 25 | | 19 | 6 | | 20 | 23 | | 21 | 11 | | 22 | 18 | | 23 | 4 | | 24 | 25 | | 25 | 16 | | 26 | 39 | | 27 | 15 | | 28 | 19 | | 29 | 11 | | 30 | 17 | | 31 | 26 | | 32 | 12 | | 33 | 11 | | 34 | 30 | | 35 | 9 | | 36 | 19 | | 37 | 8 | | 38 | 19 | | 39 | 17 | | 40 | 24 | | 41 | 16 | | 42 | 14 | | 43 | 2 |
| |
| 78.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5 | | totalSentences | 44 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 36 | | matches | | 0 | "She'd been trying to infiltrate" | | 1 | "Her worn leather watch seemed" | | 2 | "She spotted her colleague, Inspector" | | 3 | "She carefully plucked it from" |
| | ratio | 0.111 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 36 | | matches | | 0 | "Detective Harlow Quinn descended into" | | 1 | "The air reeked of damp" | | 2 | "The Veil Market." | | 3 | "She'd been trying to infiltrate" | | 4 | "Quinn's sharp jaw set in" | | 5 | "Her worn leather watch seemed" | | 6 | "Quinn's stomach tightened – another" | | 7 | "She spotted her colleague, Inspector" | | 8 | "Lee said, looking up as" | | 9 | "Lee gestured to the body" | | 10 | "Quinn's eyes narrowed as she" | | 11 | "Elianore Quasar lay on his" | | 12 | "A small, exquisite brass compass" | | 13 | "Quinn's mind whirred – a" | | 14 | "Quinn asked, her gaze roving" | | 15 | "Quinn's attention returned to the" | | 16 | "She carefully plucked it from" | | 17 | "The vendor, a hooded figure," | | 18 | "Quinn murmured, tucking the compass" | | 19 | "Lee followed her gaze." |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Detective Harlow Quinn descended into the abandoned Tube station, her eyes adjusting to the dim light that filtered through the makeshift marketplace." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn asked, her gaze roving the surrounding area" | | 1 | "Quinn said, her tone neutral" | | 2 | "Quinn pressed, her voice firm but controlled" |
| |
| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Quinn pressed (press)" |
| | dialogueSentences | 15 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.286 | | effectiveRatio | 0.267 | |