| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás spoke quietly [quietly]" |
| | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.25 | | effectiveRatio | 0.125 | |
| 83.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1208 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "completely" | | 2 | "slowly" | | 3 | "slightly" |
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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) | |
| 33.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1208 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "churned" | | 1 | "echoed" | | 2 | "loomed" | | 3 | "flicked" | | 4 | "vibrated" | | 5 | "rhythmic" | | 6 | "resonance" | | 7 | "throbbed" | | 8 | "intricate" | | 9 | "aligned" | | 10 | "standard" | | 11 | "raced" | | 12 | "etched" | | 13 | "measured" | | 14 | "mechanical" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 81.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1205 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1040 | | uniqueNames | 16 | | maxNameDensity | 1.35 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 14 | | Tomás | 12 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Seville | 1 | | Tube | 1 | | London | 1 | | Underground | 1 | | Victorian | 2 | | Blitz | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Seville" | | 4 | "London" |
| | globalScore | 0.827 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "fabrics that seemed to shift under the torchlight" |
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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 | 1205 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 32.57 | | std | 19.52 | | cv | 0.599 | | sampleLengths | | 0 | 32 | | 1 | 57 | | 2 | 43 | | 3 | 7 | | 4 | 33 | | 5 | 35 | | 6 | 47 | | 7 | 15 | | 8 | 29 | | 9 | 19 | | 10 | 28 | | 11 | 27 | | 12 | 41 | | 13 | 43 | | 14 | 17 | | 15 | 66 | | 16 | 17 | | 17 | 17 | | 18 | 32 | | 19 | 26 | | 20 | 64 | | 21 | 14 | | 22 | 36 | | 23 | 26 | | 24 | 52 | | 25 | 27 | | 26 | 9 | | 27 | 10 | | 28 | 50 | | 29 | 11 | | 30 | 87 | | 31 | 12 | | 32 | 76 | | 33 | 12 | | 34 | 17 | | 35 | 48 | | 36 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 160 | | matches | (empty) | |
| 3.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 82 | | ratio | 0.049 | | matches | | 0 | "A draft drifted up from the opening—warm, thick, and carrying the dry, metallic scent of ozone mixed with sandalwood and burnt tallow." | | 1 | "The walls here bore no graffiti; instead, faint grooves scored the Victorian tile, forming intricate, geometric patterns that caught her flashlight beam with an oily sheen." | | 2 | "Figures moved among the stalls—some in modern coats, others draped in silks, hides, or fabrics that seemed to shift under the torchlight." | | 3 | "Her mind raced through the files locked in the cold-case cabinet back at the station—the photographs of Morris’s body, the unexplained marks etched into his sternum, the reports stamped classified by people who didn't exist on the official roster." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1048 | | adjectiveStacks | 2 | | stackExamples | | 0 | "cold, rain-heavy air." | | 1 | "faded, decades-old Underground" |
| | adverbCount | 17 | | adverbRatio | 0.016221374045801526 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006679389312977099 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 14.7 | | std | 7.01 | | cv | 0.477 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 12 | | 3 | 21 | | 4 | 18 | | 5 | 6 | | 6 | 19 | | 7 | 10 | | 8 | 14 | | 9 | 7 | | 10 | 5 | | 11 | 28 | | 12 | 3 | | 13 | 11 | | 14 | 21 | | 15 | 13 | | 16 | 12 | | 17 | 6 | | 18 | 16 | | 19 | 15 | | 20 | 21 | | 21 | 8 | | 22 | 19 | | 23 | 22 | | 24 | 6 | | 25 | 11 | | 26 | 16 | | 27 | 3 | | 28 | 19 | | 29 | 19 | | 30 | 22 | | 31 | 21 | | 32 | 17 | | 33 | 11 | | 34 | 25 | | 35 | 22 | | 36 | 8 | | 37 | 9 | | 38 | 8 | | 39 | 17 | | 40 | 21 | | 41 | 11 | | 42 | 8 | | 43 | 18 | | 44 | 9 | | 45 | 29 | | 46 | 26 | | 47 | 14 | | 48 | 17 | | 49 | 9 |
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| 75.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4878048780487805 | | totalSentences | 82 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 70 | | matches | | 0 | "Her trench coat hung heavy" | | 1 | "He clutched a reinforced aluminum" | | 2 | "His olive skin shone beneath" | | 3 | "Her boots gripped the greasy" | | 4 | "She cleared the alley corner" | | 5 | "He rounded another corner, his" | | 6 | "He plunged through a gap" | | 7 | "It wasn't the smell of" | | 8 | "Her thumb flicked the switch" | | 9 | "She clicked off the radio," | | 10 | "She adjusted the strap of" | | 11 | "They stood unnaturally still, their" | | 12 | "He lifted his left hand," | | 13 | "It was impossible." | | 14 | "Her mind raced through the" | | 15 | "She looked at the dead" |
| | ratio | 0.229 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 70 | | matches | | 0 | "Sheets of rain slammed into" | | 1 | "Rainwater churned along the curbs," | | 2 | "Detective Harlow Quinn matched her" | | 3 | "Her trench coat hung heavy" | | 4 | "Water dripped from the brim" | | 5 | "Midnight had passed ten minutes" | | 6 | "He clutched a reinforced aluminum" | | 7 | "His olive skin shone beneath" | | 8 | "Tomás glanced over his shoulder." | | 9 | "The silver Saint Christopher medallion" | | 10 | "Quinn surged forward." | | 11 | "Her boots gripped the greasy" | | 12 | "She cleared the alley corner" | | 13 | "The alley narrowed to a" | | 14 | "Tomás knocked over a stack" | | 15 | "Quinn vaulted the debris without" | | 16 | "Tomás's voice echoed off the" | | 17 | "He rounded another corner, his" | | 18 | "Quinn pushed harder, her lungs" | | 19 | "Tomás didn't answer." |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 8 | | matches | | 0 | "The radio spit a harsh burst of white noise, followed by an unnatural, low vibration that vibrated through the casing itself." | | 1 | "The drumming of the rain faded into a dull, rhythmic thrum against the street above, replaced by a low, humming resonance that throbbed through the soles of her…" | | 2 | "The walls here bore no graffiti; instead, faint grooves scored the Victorian tile, forming intricate, geometric patterns that caught her flashlight beam with an…" | | 3 | "Tomás stood fifty feet ahead, near a heavy iron gate that blocked access to the lower platforms." | | 4 | "Lanterns burned with emerald and violet flames, illuminating rows of draped stalls that lined the tracks." | | 5 | "Glass display cases gleamed with vials of luminescent fluid, dried botanical roots, and metal instruments that belonged to no medical catalogue Quinn had ever s…" | | 6 | "Her mind raced through the files locked in the cold-case cabinet back at the station—the photographs of Morris’s body, the unexplained marks etched into his ste…" | | 7 | "The same ozone tang that filled this subterranean chamber had clung to Morris's overcoat the night they found him in the docks." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Tomás spoke quietly (speak)" |
| | dialogueSentences | 16 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 1 | | effectiveRatio | 0.125 | |