| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1361 | | totalAiIsmAdverbs | 3 | | 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) | |
| 66.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1361 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "maw" | | 1 | "flicked" | | 2 | "gloom" | | 3 | "scanning" | | 4 | "echoing" | | 5 | "measured" | | 6 | "intricate" | | 7 | "silence" | | 8 | "comforting" |
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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 | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 75.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1357 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1247 | | uniqueNames | 18 | | maxNameDensity | 1.12 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Harlow | 14 | | Quinn | 2 | | Tomás | 1 | | Herrera | 10 | | London | 2 | | Morris | 3 | | Regent | 1 | | Canal | 1 | | Victorian | 1 | | Tube | 1 | | Transport | 1 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | Thames | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Regent" | | 6 | "Canal" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Police" |
| | places | | 0 | "London" | | 1 | "Transport" | | 2 | "Thames" |
| | globalScore | 0.939 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | 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 | 1357 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 41.12 | | std | 25.84 | | cv | 0.628 | | sampleLengths | | 0 | 15 | | 1 | 89 | | 2 | 14 | | 3 | 97 | | 4 | 22 | | 5 | 62 | | 6 | 40 | | 7 | 28 | | 8 | 72 | | 9 | 20 | | 10 | 47 | | 11 | 69 | | 12 | 20 | | 13 | 59 | | 14 | 26 | | 15 | 52 | | 16 | 34 | | 17 | 46 | | 18 | 3 | | 19 | 25 | | 20 | 56 | | 21 | 35 | | 22 | 57 | | 23 | 29 | | 24 | 51 | | 25 | 8 | | 26 | 104 | | 27 | 14 | | 28 | 51 | | 29 | 4 | | 30 | 62 | | 31 | 24 | | 32 | 22 |
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| 88.75% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 85 | | matches | | 0 | "been peeled" | | 1 | "were stained" | | 2 | "was matted" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 201 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 90 | | ratio | 0.067 | | matches | | 0 | "The rain in Camden did not fall; it drove sideways, needle-sharp and smelling of soot." | | 1 | "As he turned, the sleeve rode up, offering Harlow a brief, strobing glimpse under the streetlamp of the thick, jagged scar running along his left forearm—the mark of a knife attack that should have killed him, but hadn't." | | 2 | "It was the smell of the things she had spent three years trying to forget—and three years trying to find." | | 3 | "They didn't swing open; they dissolved inward, the solid metal liquefying into a shimmering, oily black curtain that filled the archway." | | 4 | "A figure stepped out from the darkness of the threshold—a massive, silent guard cloaked in heavy, mold-colored wool, its face completely hidden beneath a deep cowl." | | 5 | "But she had a heavy, solid brass lighter, engraved with the insignia of her old regiment—a relic of a life before she chose the badge." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1257 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, polished white object" | | 1 | "heavy, mold-colored wool," |
| | adverbCount | 34 | | adverbRatio | 0.027048528241845664 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.011933174224343675 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 15.08 | | std | 8.56 | | cv | 0.568 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 22 | | 3 | 2 | | 4 | 39 | | 5 | 5 | | 6 | 14 | | 7 | 25 | | 8 | 29 | | 9 | 8 | | 10 | 4 | | 11 | 31 | | 12 | 22 | | 13 | 4 | | 14 | 20 | | 15 | 38 | | 16 | 18 | | 17 | 22 | | 18 | 28 | | 19 | 21 | | 20 | 23 | | 21 | 9 | | 22 | 19 | | 23 | 20 | | 24 | 11 | | 25 | 12 | | 26 | 14 | | 27 | 10 | | 28 | 13 | | 29 | 20 | | 30 | 14 | | 31 | 22 | | 32 | 13 | | 33 | 7 | | 34 | 2 | | 35 | 22 | | 36 | 11 | | 37 | 24 | | 38 | 19 | | 39 | 7 | | 40 | 26 | | 41 | 8 | | 42 | 18 | | 43 | 7 | | 44 | 5 | | 45 | 16 | | 46 | 6 | | 47 | 5 | | 48 | 14 | | 49 | 27 |
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| 55.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3888888888888889 | | totalSentences | 90 | | uniqueOpeners | 35 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 82 | | matches | | 0 | "Instead, he held up a" | | 1 | "Just another unexplained disappearance, another" |
| | ratio | 0.024 | |
| 68.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 82 | | matches | | 0 | "She checked her stride only" | | 1 | "Her muscles ached with a" | | 2 | "She did not slow down." | | 3 | "her voice rang out, instantly" | | 4 | "He rounded a sharp corner" | | 5 | "She rounded the corner just" | | 6 | "She reached the top of" | | 7 | "It smelled of ozone, stagnant" | | 8 | "It was the smell of" | | 9 | "She descended slowly, her sharp" | | 10 | "Her heart hammered against her" | | 11 | "He had stopped at a" | | 12 | "His olive skin was pale," | | 13 | "His short, curly dark brown" | | 14 | "He reached into his shirt," | | 15 | "he said, his voice raspy," | | 16 | "She kept her flashlight trained" | | 17 | "He reached into his pocket." | | 18 | "He didn't pull a weapon." | | 19 | "It was a fragment of" |
| | ratio | 0.378 | |
| 57.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 82 | | matches | | 0 | "The rain in Camden did" | | 1 | "Detective Harlow Quinn wiped a" | | 2 | "She checked her stride only" | | 3 | "Her muscles ached with a" | | 4 | "She did not slow down." | | 5 | "The former paramedic was fast," | | 6 | "Harlow had been tracking him" | | 7 | "Herrera was the thread." | | 8 | "The thread that led to" | | 9 | "her voice rang out, instantly" | | 10 | "Herrera didn't look back." | | 11 | "He rounded a sharp corner" | | 12 | "Harlow accelerated, her heavy boots" | | 13 | "She rounded the corner just" | | 14 | "She reached the top of" | | 15 | "The stairwell led down into" | | 16 | "A rusted corrugated iron gate," | | 17 | "It smelled of ozone, stagnant" | | 18 | "It was the smell of" | | 19 | "Harlow flicked on her flashlight," |
| | ratio | 0.805 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 82 | | matches | | 0 | "Before she could speak, the" | | 1 | "To enter was to step" | | 2 | "If she died down there," |
| | ratio | 0.037 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "Her muscles ached with a deep, systemic burn that forty-one years of life and eighteen years on the force had earned her, but her posture remained locked in the…" | | 1 | "The former paramedic was fast, running with the loose, athletic stride of a man who spent his life dodging the worst corners of the city." | | 2 | "As he turned, the sleeve rode up, offering Harlow a brief, strobing glimpse under the streetlamp of the thick, jagged scar running along his left forearm—the ma…" | | 3 | "He reached into his shirt, pulling out a small silver Saint Christopher medallion, clutching it briefly before letting it drop back against his chest." | | 4 | "They didn't swing open; they dissolved inward, the solid metal liquefying into a shimmering, oily black curtain that filled the archway." | | 5 | "Below her, through that rippling black anomaly, lay a hidden supernatural black market that operated in the margins of reality." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Harlow called out, her voice echoing hollowly off the damp curved tiles" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Harlow called out (call out)" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |