| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1451 | | totalAiIsmAdverbs | 1 | | 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) | |
| 68.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1451 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flickered" | | 1 | "fleeting" | | 2 | "wavering" | | 3 | "whisper" | | 4 | "weight" | | 5 | "loomed" | | 6 | "flicker" | | 7 | "echoing" | | 8 | "complex" |
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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 | 2 | | narrationSentences | 75 | | matches | | 0 | "a flicker of contempt" | | 1 | "r in anger" |
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| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1455 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1031 | | uniqueNames | 21 | | maxNameDensity | 1.45 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 3 | | Harlow | 1 | | Quinn | 15 | | London | 1 | | Raven | 3 | | Nest | 2 | | Frith | 1 | | Street | 1 | | Soho | 3 | | Square | 1 | | Tommy | 1 | | Herrera | 5 | | Bohemian | 1 | | Renaissance | 1 | | Herrara | 1 | | Had | 1 | | Humphries | 1 | | Mr | 4 | | Jingle | 4 | | October | 1 | | Creeper | 1 |
| | persons | | 0 | "Detective" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Tommy" | | 6 | "Herrera" | | 7 | "Herrara" | | 8 | "Had" | | 9 | "Humphries" | | 10 | "Mr" | | 11 | "Jingle" | | 12 | "Creeper" |
| | places | | 0 | "London" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Soho" |
| | globalScore | 0.773 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.687 | | wordCount | 1455 | | matches | | |
| 96.49% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 95 | | matches | | 0 | "is that you" | | 1 | "omens that look" |
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| 87.58% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 36.38 | | std | 16.61 | | cv | 0.457 | | sampleLengths | | 0 | 57 | | 1 | 40 | | 2 | 44 | | 3 | 50 | | 4 | 28 | | 5 | 42 | | 6 | 31 | | 7 | 27 | | 8 | 47 | | 9 | 35 | | 10 | 38 | | 11 | 20 | | 12 | 25 | | 13 | 55 | | 14 | 23 | | 15 | 19 | | 16 | 37 | | 17 | 31 | | 18 | 37 | | 19 | 44 | | 20 | 25 | | 21 | 61 | | 22 | 27 | | 23 | 70 | | 24 | 15 | | 25 | 59 | | 26 | 35 | | 27 | 23 | | 28 | 22 | | 29 | 69 | | 30 | 6 | | 31 | 40 | | 32 | 8 | | 33 | 28 | | 34 | 29 | | 35 | 2 | | 36 | 68 | | 37 | 46 | | 38 | 46 | | 39 | 46 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 75 | | matches | | 0 | "been dug" | | 1 | "was gone" | | 2 | "was met" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 22.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 95 | | ratio | 0.042 | | matches | | 0 | "And there, ducking beneath the flickering neon, was a fleeting glimpse of that curly brown head -- Tommy Herrera." | | 1 | "The Raven's Nest interior was just as shady and oppressively masculine as Quinn remembered - low-lit, dim, with faded black and white photos of Soho's Bohemian Renaissance past adorning the wallpapered walls." | | 2 | "\"I am who you make me. And I am why we make the rules. No deals; no amnesty. We strike our own bargain and protect our own horde. We're the in-between, Detective Quinn. He lets me to come out and play. But tonight, I have been relegated to nothing but an umpire and a watchful eye, one of infinite orchestra.\"" | | 3 | "\"She's gotta get into the dungeon, Detective. Look, this is where we're at; her psychic makeup is too complex to be classified. Her brain is running two thousand miles a minute, across ten simultaneous venues, all the time. Sometimes they're all about this place, every time. Sometimes they're the only one that are real. \"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 597 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02680067001675042 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011725293132328308 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 15.32 | | std | 10.83 | | cv | 0.707 | | sampleLengths | | 0 | 22 | | 1 | 16 | | 2 | 19 | | 3 | 18 | | 4 | 19 | | 5 | 3 | | 6 | 18 | | 7 | 14 | | 8 | 12 | | 9 | 32 | | 10 | 18 | | 11 | 12 | | 12 | 7 | | 13 | 9 | | 14 | 27 | | 15 | 15 | | 16 | 16 | | 17 | 15 | | 18 | 27 | | 19 | 11 | | 20 | 19 | | 21 | 17 | | 22 | 5 | | 23 | 30 | | 24 | 38 | | 25 | 20 | | 26 | 15 | | 27 | 10 | | 28 | 6 | | 29 | 30 | | 30 | 19 | | 31 | 12 | | 32 | 11 | | 33 | 17 | | 34 | 2 | | 35 | 23 | | 36 | 14 | | 37 | 12 | | 38 | 7 | | 39 | 12 | | 40 | 14 | | 41 | 23 | | 42 | 16 | | 43 | 28 | | 44 | 22 | | 45 | 3 | | 46 | 8 | | 47 | 22 | | 48 | 25 | | 49 | 6 |
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| 73.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.45263157894736844 | | totalSentences | 95 | | uniqueOpeners | 43 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Then, he proceeded to fill" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 73 | | matches | | 0 | "Her lungs burned and her" | | 1 | "Her long-sought quarry." | | 2 | "She crashed into the palm" | | 3 | "He knew she was after" | | 4 | "His eyes were alight with" | | 5 | "His words slid inside their" | | 6 | "he began to press his" | | 7 | "He said, with a condescending" | | 8 | "He gazed ironically, letting the" | | 9 | "He shrugged then, his snake" | | 10 | "She had let her gaze" | | 11 | "It didn't seem to be" | | 12 | "It was easy to make" | | 13 | "She is a repeater of" | | 14 | "Our visions will meet again." |
| | ratio | 0.205 | |
| 83.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 73 | | matches | | 0 | "The rain lashed down in" | | 1 | "Her lungs burned and her" | | 2 | "The green neons of the" | | 3 | "Her long-sought quarry." | | 4 | "Quinn redoubled her effort, her" | | 5 | "She crashed into the palm" | | 6 | "The Raven's Nest interior was" | | 7 | "Herrera weaved through the knot" | | 8 | "Quinn pushed after him, sharp" | | 9 | "He knew she was after" | | 10 | "The chase cut a swathe" | | 11 | "The room must have been" | | 12 | "Quinn didn't know how such" | | 13 | "The back room was some" | | 14 | "Herrera was gone from sight." | | 15 | "Rows and rows of individual" | | 16 | "Quinn spun around, gun at" | | 17 | "the owner of the voice" | | 18 | "His eyes were alight with" | | 19 | "Quinn's face settled into a" |
| | ratio | 0.753 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "By the time her shoulder" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn redoubled her effort, her feet slapping against the slick pavement, breath misting in the cold night air." | | 1 | "Doing contortions to balance on the ledge, the only thing she could see while sliding around Quinn craned her neck, taking in as much information as fast as she…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "the man said, voice echoing across their space as Humphries fled" | | 1 | "he began, an unsettling grin working in" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn demanded (demand)" | | 1 | "he began (begin)" |
| | dialogueSentences | 26 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.5 | | effectiveRatio | 0.154 | |