| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 14 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 79.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 978 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "carefully" | | 3 | "very" |
| |
| 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) | |
| 48.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 978 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "shattered" | | 1 | "oppressive" | | 2 | "traced" | | 3 | "crystalline" | | 4 | "stark" | | 5 | "etched" | | 6 | "pulsed" | | 7 | "resonated" | | 8 | "whisper" |
| |
| 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 | 57 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 981 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 710 | | uniqueNames | 6 | | maxNameDensity | 1.55 | | worstName | "Thorne" | | maxWindowNameDensity | 3 | | worstWindowName | "Thorne" | | discoveredNames | | Harlow | 6 | | Quinn | 1 | | Victorian | 1 | | Sergeant | 1 | | Miller | 4 | | Thorne | 11 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Miller" | | 4 | "Thorne" |
| | places | (empty) | | globalScore | 0.725 | | windowScore | 0.667 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.058 | | wordCount | 981 | | matches | | 0 | "not on grit, but on something brittle" | | 1 | "not from Thorne’s lips, but from the very air around them" | | 2 | "not with life, but with an unnerving, vacant luminescence, mirroring the powder" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 25.14% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 75.46 | | std | 17.96 | | cv | 0.238 | | sampleLengths | | 0 | 92 | | 1 | 64 | | 2 | 84 | | 3 | 62 | | 4 | 103 | | 5 | 87 | | 6 | 44 | | 7 | 79 | | 8 | 48 | | 9 | 60 | | 10 | 98 | | 11 | 87 | | 12 | 73 |
| |
| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 57 | | matches | | 0 | "was rucked" | | 1 | "been dragged" | | 2 | "was composed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 108 | | matches | (empty) | |
| 4.61% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 62 | | ratio | 0.048 | | matches | | 0 | "Detective Harlow Quinn’s boot crunched, not on grit, but on something brittle – a fragment of shattered glass that had seen better days." | | 1 | "This wasn't just a symbol; it felt like a gateway." | | 2 | "The geometrical dust patterns on the floor – they weren't drag marks." |
| |
| 83.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, tarnished silver pipe" |
| | adverbCount | 37 | | adverbRatio | 0.052259887005649715 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.018361581920903956 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 15.82 | | std | 10.7 | | cv | 0.676 | | sampleLengths | | 0 | 13 | | 1 | 23 | | 2 | 24 | | 3 | 32 | | 4 | 19 | | 5 | 15 | | 6 | 30 | | 7 | 13 | | 8 | 16 | | 9 | 19 | | 10 | 14 | | 11 | 18 | | 12 | 2 | | 13 | 1 | | 14 | 1 | | 15 | 17 | | 16 | 45 | | 17 | 3 | | 18 | 36 | | 19 | 16 | | 20 | 15 | | 21 | 11 | | 22 | 22 | | 23 | 15 | | 24 | 19 | | 25 | 16 | | 26 | 5 | | 27 | 17 | | 28 | 15 | | 29 | 11 | | 30 | 33 | | 31 | 13 | | 32 | 16 | | 33 | 8 | | 34 | 17 | | 35 | 5 | | 36 | 1 | | 37 | 19 | | 38 | 9 | | 39 | 22 | | 40 | 11 | | 41 | 6 | | 42 | 6 | | 43 | 54 | | 44 | 8 | | 45 | 38 | | 46 | 8 | | 47 | 36 | | 48 | 8 | | 49 | 12 |
| |
| 84.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5161290322580645 | | totalSentences | 62 | | uniqueOpeners | 32 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Then, a low, guttural whisper" |
| | ratio | 0.019 | |
| 31.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 53 | | matches | | 0 | "He gestured vaguely with a" | | 1 | "She circled the victim slowly," | | 2 | "His expensive, tailored jacket was" | | 3 | "Her torch beam traced the" | | 4 | "It wasn't the scuff marks" | | 5 | "It was more deliberate, as" | | 6 | "She knelt, her gloved fingers" | | 7 | "His skin held a peculiar," | | 8 | "She nudged the pipe with" | | 9 | "She swept her torch across" | | 10 | "His fingernails were clean, trimmed." | | 11 | "It caught the light, reflecting" | | 12 | "It wasn't spray paint, nor" | | 13 | "It looked ancient, yet disturbingly…" | | 14 | "It pulsed faintly in the" | | 15 | "she stated, her voice hardening" | | 16 | "She traced the symbol’s outline" | | 17 | "It was composed of interlocking" | | 18 | "She carefully scraped a tiny" | | 19 | "She trailed off, the memory" |
| | ratio | 0.472 | |
| 16.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 53 | | matches | | 0 | "The concrete floor sloped into" | | 1 | "Detective Harlow Quinn’s boot crunched," | | 2 | "The acrid tang of stagnant" | | 3 | "A single beam from her" | | 4 | "Detective Sergeant Miller, his face" | | 5 | "He gestured vaguely with a" | | 6 | "Harlow stepped further into the" | | 7 | "She circled the victim slowly," | | 8 | "Julian Thorne, son of the" | | 9 | "His expensive, tailored jacket was" | | 10 | "Miller pointed to a small," | | 11 | "Harlow didn't answer." | | 12 | "Her torch beam traced the" | | 13 | "It wasn't the scuff marks" | | 14 | "It was more deliberate, as" | | 15 | "She knelt, her gloved fingers" | | 16 | "His skin held a peculiar," | | 17 | "Harlow said, her voice low" | | 18 | "She nudged the pipe with" | | 19 | "She swept her torch across" |
| | ratio | 0.887 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 53 | | matches | | | ratio | 0.019 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn’s boot crunched, not on grit, but on something brittle – a fragment of shattered glass that had seen better days." | | 1 | "The acrid tang of stagnant water clawed at her nostrils, mingling with a metallic scent that was too sharp, too clean for natural decay." | | 2 | "A single beam from her torch sliced through the oppressive darkness of the disused Victorian cistern, illuminating a tableau that felt less like a crime scene a…" | | 3 | "Her torch beam traced the faint disturbance in the thick layer of dust that coated the cistern walls and floor, a pattern that led away from the body in a serie…" | | 4 | "It was a sibilant hiss that twisted into Thorne's name." | | 5 | "The symbol on the wall flared, a brief, internal glow that cast an unnatural, violet light across the cistern." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "Harlow said, her voice low and even" | | 1 | "she stated, her voice hardening" |
| |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Miller grumbled (grumble)" | | 1 | "she stated (state)" |
| | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.667 | | effectiveRatio | 0.286 | |