| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 701 | | 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) | |
| 14.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 701 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "navigated" | | 1 | "jaw clenched" | | 2 | "scanning" | | 3 | "flicked" | | 4 | "fleeting" | | 5 | "solace" | | 6 | "etched" | | 7 | "potential" | | 8 | "vibrated" | | 9 | "resonance" | | 10 | "absolutely" | | 11 | "amidst" |
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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 | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 25 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 25 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 31 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 698 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 494 | | uniqueNames | 10 | | maxNameDensity | 1.82 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Natalie" | | discoveredNames | | Harlow | 9 | | Quinn | 2 | | Tube | 2 | | Camden | 1 | | Detective | 2 | | Natalie | 8 | | Santos | 1 | | Veil | 1 | | Market | 1 | | Next | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Natalie" | | 4 | "Santos" | | 5 | "Market" |
| | places | | | globalScore | 0.589 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 25 | | glossingSentenceCount | 3 | | matches | | 0 | "as if hoping to find solace within" | | 1 | "ed with power, seemingly in synchrony with t" | | 2 | "appeared surprisingly related artifacts both natural and enchanted" |
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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 | 698 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 31 | | matches | (empty) | |
| 65.59% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 41.06 | | std | 15.58 | | cv | 0.38 | | sampleLengths | | 0 | 65 | | 1 | 17 | | 2 | 38 | | 3 | 46 | | 4 | 38 | | 5 | 11 | | 6 | 40 | | 7 | 51 | | 8 | 36 | | 9 | 52 | | 10 | 63 | | 11 | 43 | | 12 | 63 | | 13 | 40 | | 14 | 34 | | 15 | 47 | | 16 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 25 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 76 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 31 | | ratio | 0.065 | | matches | | 0 | "Sigils at a homicide scene did not scream \"abnormal\" to Harlow; they screamed \"crisis and panic from someone close by, perhaps emotionally close.\" She made a mental note to ask around about who these folks were." | | 1 | "\"One of my old habits still insists a miasmic connection between the symbols,\" she said with a gesture toward their arrangement amidst other shiny products to pass time, which seemed to come in an astonishing array, from gems to exotics potions—essences were an assortment of things to get." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 434 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.029953917050691243 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.013824884792626729 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 31 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 31 | | mean | 22.52 | | std | 11.22 | | cv | 0.499 | | sampleLengths | | 0 | 33 | | 1 | 32 | | 2 | 17 | | 3 | 20 | | 4 | 18 | | 5 | 26 | | 6 | 20 | | 7 | 19 | | 8 | 19 | | 9 | 11 | | 10 | 8 | | 11 | 32 | | 12 | 10 | | 13 | 41 | | 14 | 36 | | 15 | 8 | | 16 | 44 | | 17 | 19 | | 18 | 44 | | 19 | 24 | | 20 | 19 | | 21 | 15 | | 22 | 48 | | 23 | 13 | | 24 | 27 | | 25 | 10 | | 26 | 17 | | 27 | 7 | | 28 | 21 | | 29 | 26 | | 30 | 14 |
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| 96.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7419354838709677 | | totalSentences | 31 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 25 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 2 | | totalSentences | 25 | | matches | | 0 | "They clutched a small, intricately" | | 1 | "she said with a gesture" |
| | ratio | 0.08 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 18 | | totalSentences | 25 | | matches | | 0 | "Detective Harlow Quinn navigated the" | | 1 | "A lone technician hovered around" | | 2 | "Natalie asked, nodding toward the" | | 3 | "Harlow's gaze flicked toward the" | | 4 | "Natalie wrinkled her nose, tucking" | | 5 | "Natalie indicated a young couple" | | 6 | "They clutched a small, intricately" | | 7 | "Harlow inquired, drawn in by" | | 8 | "Natalie hesitated before squinting at" | | 9 | "Harlow's eyes narrowed as she" | | 10 | "Sigils at a homicide scene" | | 11 | "The mix of hooded, cloaked" | | 12 | "a tall hooded person was" | | 13 | "Natalie seemed to share her" | | 14 | "she said with a gesture" | | 15 | "Harlow shifted her gaze to" | | 16 | "Harlow’s watch beeps at her" | | 17 | "Harlow directed Natalie with a" |
| | ratio | 0.72 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 25 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 6 | | matches | | 0 | "A lone technician hovered around the main area, snapping photos and collecting evidence, while Detective Quinn's colleague, DS Natalie Santos, hovered beside he…" | | 1 | "Harlow's gaze flicked toward the market stalls, which seemed to sprout from the Tube station's brick walls like fungal growths." | | 2 | "Natalie wrinkled her nose, tucking a strand of dark hair behind her own behind her ear in a fleeting gesture that gave her away as nervous." | | 3 | "They clutched a small, intricately carved box between them, gazing into it as if hoping to find solace within." | | 4 | "On the box itself, etched into the surface in elegant, curved script, she spotted something that her years on the force hadn't prepared her for: a small, faint …" | | 5 | "The mix of hooded, cloaked figures swarmed and intermingled with the more innocuous-looking tourists, with a selection of clearly occult adept inns who lounged …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow inquired (inquire)" | | 1 | "a tall hooded person was calling out (hood be call out)" |
| | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.5 | | effectiveRatio | 0.286 | |