| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1154 | | 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) | |
| 35.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1154 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "familiar" | | 3 | "silence" | | 4 | "synthetic" | | 5 | "gloom" | | 6 | "chaotic" | | 7 | "velvet" | | 8 | "navigating" | | 9 | "weight" | | 10 | "chill" | | 11 | "mechanical" |
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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 | 71 | | matches | | 0 | "looked terrified" | | 1 | "was afraid" |
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| 62.37% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1148 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1148 | | uniqueNames | 19 | | maxNameDensity | 0.87 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 10 | | Quinn | 2 | | Raven | 1 | | Nest | 2 | | Metropolitan | 1 | | Police | 1 | | Morris | 4 | | Northern | 1 | | Line | 1 | | Tomás | 1 | | Herrera | 10 | | Saint | 1 | | Christopher | 1 | | Veil | 3 | | Market | 3 | | London | 1 | | Underground | 1 | | Detective | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Market" |
| | places | | 0 | "Soho" | | 1 | "Nest" | | 2 | "Veil" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like fiction—empty words meant to" | | 1 | "felt like lead" | | 2 | "tasted like copper on her teeth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.871 | | wordCount | 1148 | | matches | | 0 | "not with the stealth of a pursuer, but with the deliberate, heavy-footed confidence of a woman who" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 71 | | matches | | |
| 59.72% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 52.18 | | std | 18.73 | | cv | 0.359 | | sampleLengths | | 0 | 78 | | 1 | 43 | | 2 | 51 | | 3 | 49 | | 4 | 4 | | 5 | 72 | | 6 | 63 | | 7 | 56 | | 8 | 41 | | 9 | 73 | | 10 | 52 | | 11 | 68 | | 12 | 53 | | 13 | 56 | | 14 | 10 | | 15 | 69 | | 16 | 59 | | 17 | 58 | | 18 | 20 | | 19 | 60 | | 20 | 59 | | 21 | 54 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | 0 | "was cracked" | | 1 | "was built" |
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| 52.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 181 | | matches | | 0 | "was retreating" | | 1 | "wasn't just running" | | 2 | "was already disappearing" | | 3 | "was already closing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 71 | | ratio | 0.099 | | matches | | 0 | "Ever since Morris died, the reports she filed felt like fiction—empty words meant to fill folders that no one actually opened." | | 1 | "They hit the stairs together, the descent smelling of ozone, wet concrete, and something sharper—a metallic tang that made the hair on Harlow’s neck prickle." | | 2 | "He wasn't just running for cover; he was retreating into something." | | 3 | "Harlow drew her breath to scream a final warning, but the light of her torch caught a flash of silver—the Saint Christopher medallion swinging wildly against his chest." | | 4 | "The murmur of a hundred voices—most of them low, some of them inhumanly resonant—filled the tunnel like the hum of a hive." | | 5 | "If she stepped onto those tracks, she was no longer a detective conducting an investigation; she was a trespasser in a world that didn't follow her rulebook." | | 6 | "She looked at the token-slot on the turnstile—or at the space where it should have been." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1165 | | adjectiveStacks | 2 | | stackExamples | | 0 | "warm, spice-heavy air" | | 1 | "deliberate, heavy-footed confidence" |
| | adverbCount | 27 | | adverbRatio | 0.02317596566523605 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007725321888412017 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 16.17 | | std | 8.25 | | cv | 0.51 | | sampleLengths | | 0 | 13 | | 1 | 24 | | 2 | 26 | | 3 | 15 | | 4 | 18 | | 5 | 3 | | 6 | 1 | | 7 | 21 | | 8 | 5 | | 9 | 25 | | 10 | 21 | | 11 | 13 | | 12 | 13 | | 13 | 23 | | 14 | 4 | | 15 | 3 | | 16 | 14 | | 17 | 13 | | 18 | 15 | | 19 | 27 | | 20 | 25 | | 21 | 12 | | 22 | 15 | | 23 | 11 | | 24 | 12 | | 25 | 28 | | 26 | 16 | | 27 | 3 | | 28 | 16 | | 29 | 22 | | 30 | 5 | | 31 | 9 | | 32 | 15 | | 33 | 22 | | 34 | 22 | | 35 | 23 | | 36 | 20 | | 37 | 9 | | 38 | 6 | | 39 | 14 | | 40 | 18 | | 41 | 18 | | 42 | 12 | | 43 | 26 | | 44 | 27 | | 45 | 15 | | 46 | 4 | | 47 | 5 | | 48 | 32 | | 49 | 10 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.19718309859154928 | | totalSentences | 71 | | uniqueOpeners | 14 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Ever since Morris died, the" |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 70 | | matches | | 0 | "She checked the worn leather" | | 1 | "She had spent eighteen years" | | 2 | "It moved with a jagged," | | 3 | "She tracked the silhouette of" | | 4 | "She recognized him." | | 5 | "She knew the Metropolitan Police" | | 6 | "She rounded the corner, her" | | 7 | "He caught sight of her," | | 8 | "He didn’t stop." | | 9 | "He pivoted, his face a" | | 10 | "He bolted, sprinting toward the" | | 11 | "She had been tracking leads" | | 12 | "They hit the stairs together," | | 13 | "She pulled her torch, the" | | 14 | "He wasn't just running for" | | 15 | "He reached the heavy iron" | | 16 | "He pressed a small, jagged" | | 17 | "It was a chaotic, subterranean" | | 18 | "He ducked behind a merchant" | | 19 | "He looked terrified, the scar" |
| | ratio | 0.557 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 70 | | matches | | 0 | "The rain over Soho was" | | 1 | "She checked the worn leather" | | 2 | "She had spent eighteen years" | | 3 | "It moved with a jagged," | | 4 | "She tracked the silhouette of" | | 5 | "She recognized him." | | 6 | "The paramedic who had traded" | | 7 | "Harlow didn’t call for backup." | | 8 | "She knew the Metropolitan Police" | | 9 | "She rounded the corner, her" | | 10 | "Herrera was ten yards ahead," | | 11 | "He caught sight of her," | | 12 | "Herrera, stop right there." | | 13 | "He didn’t stop." | | 14 | "He pivoted, his face a" | | 15 | "He bolted, sprinting toward the" | | 16 | "Harlow surged forward, her breathing" | | 17 | "She had been tracking leads" | | 18 | "They hit the stairs together," | | 19 | "The streetlights receded, swallowed by" |
| | ratio | 0.914 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 70 | | matches | | 0 | "Before her lay the entrance" | | 1 | "If she stepped onto those" |
| | ratio | 0.029 | |
| 25.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 9 | | matches | | 0 | "She knew the Metropolitan Police protocols, and she knew the silence that would follow any request for help once the conversation veered into the impossible." | | 1 | "They hit the stairs together, the descent smelling of ozone, wet concrete, and something sharper—a metallic tang that made the hair on Harlow’s neck prickle." | | 2 | "Stalls draped in moth-eaten velvet lined the tracks, illuminated by lanterns that burned with flickering, unnatural hues of violet and swamp-gas green." | | 3 | "He ducked behind a merchant piling jars of preserved organs onto a table, his eyes darting back toward the entrance." | | 4 | "If she stepped onto those tracks, she was no longer a detective conducting an investigation; she was a trespasser in a world that didn't follow her rulebook." | | 5 | "The chatter was a discordant opera, a mix of tongues that tasted like copper on her teeth." | | 6 | "She walked forward, not with the stealth of a pursuer, but with the deliberate, heavy-footed confidence of a woman who had already died once, three years ago, a…" | | 7 | "She passed a vendor hocking dried herbs that sparked when touched, their aroma overwhelming the scent of damp earth." | | 8 | "She accelerated, her stride matching the rhythm of the tunnel’s thrumming, disappearing into the neon-soaked haze of the Veil." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |