| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured weakly [weakly]" |
| | dialogueSentences | 38 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.063 | | effectiveRatio | 0.053 | |
| 79.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 994 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "really" | | 2 | "very" | | 3 | "nervously" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 994 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "scratched his head" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flicker" | | 1 | "uncanny" | | 2 | "furrowed" | | 3 | "scratched his head" | | 4 | "weight" | | 5 | "unspoken" | | 6 | "familiar" | | 7 | "tracing" | | 8 | "intricate" | | 9 | "resonance" | | 10 | "pulse" | | 11 | "tension" | | 12 | "dancing" | | 13 | "loomed" | | 14 | "foreboding" | | 15 | "trembled" | | 16 | "newfound" | | 17 | "charged" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 95.24% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 56 | | matches | | 0 | "A flicker of unease" | | 1 | "k with foreboding" |
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| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 989 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 675 | | uniqueNames | 8 | | maxNameDensity | 1.93 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 2 | | Harlow | 4 | | Quinn | 13 | | Detective | 2 | | Charles | 1 | | Grant | 9 | | Hannah | 5 | | Fingers | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Charles" | | 4 | "Grant" | | 5 | "Hannah" | | 6 | "Fingers" |
| | places | (empty) | | globalScore | 0.537 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 989 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 24.73 | | std | 15.37 | | cv | 0.622 | | sampleLengths | | 0 | 54 | | 1 | 44 | | 2 | 47 | | 3 | 38 | | 4 | 30 | | 5 | 28 | | 6 | 31 | | 7 | 42 | | 8 | 7 | | 9 | 45 | | 10 | 41 | | 11 | 14 | | 12 | 5 | | 13 | 11 | | 14 | 31 | | 15 | 17 | | 16 | 1 | | 17 | 43 | | 18 | 20 | | 19 | 1 | | 20 | 39 | | 21 | 8 | | 22 | 34 | | 23 | 13 | | 24 | 14 | | 25 | 18 | | 26 | 2 | | 27 | 19 | | 28 | 43 | | 29 | 14 | | 30 | 34 | | 31 | 16 | | 32 | 31 | | 33 | 10 | | 34 | 18 | | 35 | 13 | | 36 | 13 | | 37 | 7 | | 38 | 51 | | 39 | 42 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 78 | | ratio | 0.038 | | matches | | 0 | "A flicker of unease rippled through her; an uncanny sensation clung to the air, like a whispering ghost." | | 1 | "Crumpled remnants from last night's illicit dealings littered the platform—empty vials, torn pages of ancient text, and the telltale marks of a supernatural disturbance." | | 2 | "Then the faintest hint of movement caught her eye—a figure slipped between two shadows." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 679 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.030927835051546393 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.013254786450662739 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.68 | | std | 6.59 | | cv | 0.52 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 18 | | 3 | 4 | | 4 | 24 | | 5 | 16 | | 6 | 21 | | 7 | 18 | | 8 | 8 | | 9 | 12 | | 10 | 26 | | 11 | 10 | | 12 | 20 | | 13 | 6 | | 14 | 22 | | 15 | 12 | | 16 | 19 | | 17 | 14 | | 18 | 28 | | 19 | 3 | | 20 | 4 | | 21 | 6 | | 22 | 17 | | 23 | 12 | | 24 | 10 | | 25 | 5 | | 26 | 16 | | 27 | 20 | | 28 | 14 | | 29 | 5 | | 30 | 11 | | 31 | 19 | | 32 | 12 | | 33 | 17 | | 34 | 1 | | 35 | 19 | | 36 | 10 | | 37 | 14 | | 38 | 13 | | 39 | 7 | | 40 | 1 | | 41 | 8 | | 42 | 14 | | 43 | 17 | | 44 | 8 | | 45 | 19 | | 46 | 15 | | 47 | 8 | | 48 | 5 | | 49 | 9 |
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| 91.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5512820512820513 | | totalSentences | 78 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "More glimmers caught her eye." | | 1 | "Then the faintest hint of" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 55 | | matches | | 0 | "She surveyed the scene." | | 1 | "She turned at the sound" | | 2 | "His brow furrowed as he" | | 3 | "She straightened, irritation sharpening her" | | 4 | "She stepped closer, her gaze" | | 5 | "She knelt again, tracing a" | | 6 | "She glanced over her shoulder," | | 7 | "Her instincts, honed through years" | | 8 | "They took a step deeper" | | 9 | "She emerged into a wider" | | 10 | "She gestured weakly towards the" | | 11 | "They had stumbled into a" | | 12 | "She kept her senses open," |
| | ratio | 0.236 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 55 | | matches | | 0 | "Rain drummed against the roof" | | 1 | "Detective Harlow Quinn stepped into" | | 2 | "A flicker of unease rippled" | | 3 | "She surveyed the scene." | | 4 | "A faint whiff of sulfur" | | 5 | "She turned at the sound" | | 6 | "His brow furrowed as he" | | 7 | "Quinn crouched, her fingers hovering" | | 8 | "Grant scratched his head, the" | | 9 | "She straightened, irritation sharpening her" | | 10 | "A flicker of doubt crossed" | | 11 | "Harlow shook her head, pulling" | | 12 | "Grant shifted uneasily." | | 13 | "Harlow exhaled, frustration bleeding through" | | 14 | "She stepped closer, her gaze" | | 15 | "The tracks seemed to hum" | | 16 | "Something danced just out of" | | 17 | "She knelt again, tracing a" | | 18 | "The damp air tingled, and" | | 19 | "She glanced over her shoulder," |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "Without thinking, Quinn broke into a run, her heartbeat matching the thrum of urgency in her veins." | | 1 | "A curly-haired woman, freckled, wide-eyed, and clutching a satchel as if it were a lifeline." | | 2 | "Quinn caught Grant's eye over the girl’s head, a signal that set them both on edge." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 7 | | matches | | 0 | "Quinn crouched, her fingers hovering over the iridescent liquid" | | 1 | "Harlow exhaled, frustration bleeding through" | | 2 | "She stepped, her gaze darting over the scene" | | 3 | "Grant yelled, scrambling to follow" | | 4 | "Quinn called out, recognition hitting her hard" | | 5 | "Hannah's voice trembled, her reflection flickering under the light's erratic glow" | | 6 | "Quinn pressed, her intuition flaring" |
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| 18.42% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "Grant whispered (whisper)" | | 1 | "Grant yelled (yell)" | | 2 | "Quinn called out (call out)" | | 3 | "Quinn pressed (press)" | | 4 | "Quinn warned (warn)" |
| | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.833 | | effectiveRatio | 0.263 | |