| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "completely" |
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| 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) | |
| 21.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "echoing" | | 1 | "glistening" | | 2 | "etched" | | 3 | "sense of" | | 4 | "scanned" | | 5 | "glint" | | 6 | "echoed" | | 7 | "stomach" | | 8 | "perfect" | | 9 | "furrowed" | | 10 | "complex" | | 11 | "velvet" | | 12 | "pulsed" | | 13 | "whisper" | | 14 | "rhythmic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1207 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 886 | | uniqueNames | 11 | | maxNameDensity | 1.47 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 6 | | Davies | 8 | | Camden | 1 | | Town | 1 | | Tube | 1 | | Morris | 1 | | Veil | 5 | | Compass | 2 | | Sigils | 1 | | Market | 3 | | Harlow | 13 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Morris" | | 3 | "Compass" | | 4 | "Harlow" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Tube" | | 3 | "Veil" |
| | globalScore | 0.766 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "quite put her finger on" |
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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 | 1207 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 117 | | matches | | |
| 95.81% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 28.74 | | std | 13.95 | | cv | 0.485 | | sampleLengths | | 0 | 36 | | 1 | 46 | | 2 | 46 | | 3 | 32 | | 4 | 57 | | 5 | 45 | | 6 | 24 | | 7 | 24 | | 8 | 29 | | 9 | 18 | | 10 | 36 | | 11 | 62 | | 12 | 12 | | 13 | 18 | | 14 | 32 | | 15 | 41 | | 16 | 10 | | 17 | 14 | | 18 | 22 | | 19 | 44 | | 20 | 16 | | 21 | 17 | | 22 | 18 | | 23 | 26 | | 24 | 53 | | 25 | 34 | | 26 | 41 | | 27 | 10 | | 28 | 20 | | 29 | 30 | | 30 | 24 | | 31 | 23 | | 32 | 13 | | 33 | 33 | | 34 | 20 | | 35 | 32 | | 36 | 17 | | 37 | 58 | | 38 | 28 | | 39 | 19 | | 40 | 22 | | 41 | 5 |
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| 87.36% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 98 | | matches | | 0 | "were covered" | | 1 | "were littered" | | 2 | "was made" | | 3 | "was crafted" | | 4 | "was layered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 117 | | ratio | 0.051 | | matches | | 0 | "The stench hit her next – brine, mildew, and something sickly sweet she couldn't place." | | 1 | "The victim's clothes were unremarkable - a cheap suit, scuffed shoes." | | 2 | "A Veil Compass – the casing has a patina of verdigris etched with protective Sigils." | | 3 | "Then, she found it - a hairline fracture, barely visible to the naked eye." | | 4 | "Tables were littered with strange tools – alembics, pestles and mortars, candles, and jars filled with unidentifiable substances." | | 5 | "The ingredients were unusual – rare herbs, powdered bones, shimmering crystals." |
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| 99.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 394 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.04060913705583756 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.017766497461928935 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.32 | | std | 5.54 | | cv | 0.537 | | sampleLengths | | 0 | 26 | | 1 | 10 | | 2 | 15 | | 3 | 11 | | 4 | 12 | | 5 | 8 | | 6 | 2 | | 7 | 17 | | 8 | 6 | | 9 | 13 | | 10 | 2 | | 11 | 2 | | 12 | 3 | | 13 | 1 | | 14 | 15 | | 15 | 17 | | 16 | 12 | | 17 | 6 | | 18 | 16 | | 19 | 17 | | 20 | 6 | | 21 | 7 | | 22 | 8 | | 23 | 15 | | 24 | 3 | | 25 | 1 | | 26 | 11 | | 27 | 24 | | 28 | 16 | | 29 | 8 | | 30 | 2 | | 31 | 27 | | 32 | 18 | | 33 | 6 | | 34 | 11 | | 35 | 6 | | 36 | 5 | | 37 | 8 | | 38 | 10 | | 39 | 10 | | 40 | 5 | | 41 | 15 | | 42 | 4 | | 43 | 18 | | 44 | 12 | | 45 | 5 | | 46 | 13 | | 47 | 10 | | 48 | 15 | | 49 | 7 |
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| 67.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4358974358974359 | | totalSentences | 117 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 90 | | matches | | 0 | "Then, she found it -" | | 1 | "All traceable, she suspected, back" | | 2 | "Implausibly perfect reproductions of genuine" | | 3 | "Again, she patted the wall" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 90 | | matches | | 0 | "It clung to the air" | | 1 | "She ignored it, her focus" | | 2 | "She barely registered" | | 3 | "Her gaze swept the scene," | | 4 | "She ignored him, continuing her" | | 5 | "She scanned the area, and" | | 6 | "She recognized it instantly." | | 7 | "she asked, picking it up" | | 8 | "She ran her hand along" | | 9 | "It was dark, damp, and" | | 10 | "It was a workshop." | | 11 | "It was made of dark" | | 12 | "she said, examining the box" | | 13 | "She opened the box, revealing" | | 14 | "It wasn’t a real rose." | | 15 | "It was crafted from a" | | 16 | "she said, her voice dropping" | | 17 | "She’d seen these before." | | 18 | "It was layered, infused with" | | 19 | "It was here, she realized," |
| | ratio | 0.244 | |
| 87.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 90 | | matches | | 0 | "Harlow Quinn muttered, her voice" | | 1 | "The stench hit her next" | | 2 | "It clung to the air" | | 3 | "She ignored it, her focus" | | 4 | "Something else entirely." | | 5 | "DS Davies hovered nearby, his" | | 6 | "Harlow knelt beside the body," | | 7 | "The location itself was bizarre" | | 8 | "An abandoned section of the" | | 9 | "She barely registered" | | 10 | "Her gaze swept the scene," | | 11 | "The walls were covered in" | | 12 | "Harlow touched a gloved finger" | | 13 | "Quinn said, her voice flat," | | 14 | "She ignored him, continuing her" | | 15 | "The victim's clothes were unremarkable" | | 16 | "Nothing to suggest wealth or" | | 17 | "Something she couldn’t quite put" | | 18 | "She scanned the area, and" | | 19 | "A Veil Compass – the" |
| | ratio | 0.744 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Now, it was a glistening" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 1 | | matches | | 0 | "An artifact from The Veil Market, the shadowy black market that dealt in enchanted goods and forbidden knowledge." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "Harlow Quinn muttered, her voice echoing off the damp concrete walls" | | 1 | "Quinn said, her voice flat, recalling DS Morris's fate" | | 2 | "Harlow said, her voice clipped" | | 3 | "Davies asked, bewildered" | | 4 | "she said, her voice dropping to a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "Harlow Quinn muttered (mutter)" | | 1 | "Harlow retorted (retort)" | | 2 | "Davies mumbled (mumble)" | | 3 | "Harlow muttered (mutter)" | | 4 | "Quinn noted (note)" | | 5 | "Quinn barked (bark)" |
| | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.5 | | effectiveRatio | 0.353 | |