| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1221 | | totalAiIsmAdverbs | 2 | | 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) | |
| 71.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1221 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "fluttered" | | 1 | "rhythmic" | | 2 | "perfect" | | 3 | "familiar" | | 4 | "etched" | | 5 | "echoing" | | 6 | "silence" |
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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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1219 | | ratio | 0 | | matches | (empty) | |
| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 4 | | matches | | 0 | "Detective, Eva said, keeping her voice low." | | 1 | "There is no body, Eva whispered, adjusting her satchel." | | 2 | "Someone with a Veil Compass, Eva said, finally standing up." | | 3 | "Tell me, Quinn said, her voice dangerously steady." |
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| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 1219 | | uniqueNames | 18 | | maxNameDensity | 1.48 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "You" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 4 | | Quinn | 16 | | Victorian | 1 | | Kowalski | 1 | | Eva | 18 | | Metropolitan | 1 | | Police | 1 | | Veil | 2 | | Market | 3 | | East | 1 | | End | 1 | | Morris | 2 | | British | 2 | | Museum | 2 | | Compass | 4 | | You | 11 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Market" | | 5 | "Morris" | | 6 | "Museum" | | 7 | "Compass" | | 8 | "You" |
| | places | | | globalScore | 0.762 | | windowScore | 0.5 | |
| 86.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 2 | | matches | | 0 | "quite vanished into the grime of the concrete" | | 1 | "felt like a toy in a place that defied" |
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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 | 1219 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 38.09 | | std | 20.34 | | cv | 0.534 | | sampleLengths | | 0 | 80 | | 1 | 27 | | 2 | 85 | | 3 | 41 | | 4 | 41 | | 5 | 33 | | 6 | 32 | | 7 | 66 | | 8 | 20 | | 9 | 25 | | 10 | 67 | | 11 | 30 | | 12 | 63 | | 13 | 65 | | 14 | 10 | | 15 | 9 | | 16 | 17 | | 17 | 42 | | 18 | 41 | | 19 | 67 | | 20 | 43 | | 21 | 32 | | 22 | 19 | | 23 | 27 | | 24 | 38 | | 25 | 25 | | 26 | 31 | | 27 | 57 | | 28 | 11 | | 29 | 25 | | 30 | 36 | | 31 | 14 |
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| 80.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 114 | | matches | | 0 | "was traded" | | 1 | "is flawed" | | 2 | "been solved" | | 3 | "been buried" | | 4 | "being treated" | | 5 | "was atomized" | | 6 | "been tracked" | | 7 | "were interrupted" |
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| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 215 | | matches | | 0 | "were reporting" | | 1 | "were packing" | | 2 | "was fraying" | | 3 | "wasn't just observing" | | 4 | "was standing" |
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| 17.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 114 | | ratio | 0.044 | | matches | | 0 | "She checked the worn leather watch on her left wrist; the time was irrelevant, but the habit grounded her." | | 1 | "The forensics team already pulled out—they were reporting migraines and nosebleeds." | | 2 | "Three years ago, she had stood over a body in an East End alley—her partner, DS Morris—and seen the exact same look of terrified fascination on the face of a witness." | | 3 | "She fought the urge to reach for her service weapon; a gun felt like a toy in a place that defied logic." | | 4 | "The British Museum isn't just looking for artifacts; they’re hiding the reality of the rift." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1222 | | adjectiveStacks | 1 | | stackExamples | | 0 | "frantic, gear-driven heartbeat" |
| | adverbCount | 37 | | adverbRatio | 0.030278232405891982 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007364975450081833 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 10.69 | | std | 7.57 | | cv | 0.708 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 25 | | 3 | 19 | | 4 | 27 | | 5 | 20 | | 6 | 23 | | 7 | 27 | | 8 | 15 | | 9 | 8 | | 10 | 33 | | 11 | 7 | | 12 | 12 | | 13 | 6 | | 14 | 5 | | 15 | 11 | | 16 | 5 | | 17 | 8 | | 18 | 11 | | 19 | 5 | | 20 | 4 | | 21 | 9 | | 22 | 4 | | 23 | 9 | | 24 | 10 | | 25 | 14 | | 26 | 31 | | 27 | 9 | | 28 | 12 | | 29 | 15 | | 30 | 3 | | 31 | 2 | | 32 | 10 | | 33 | 3 | | 34 | 8 | | 35 | 4 | | 36 | 2 | | 37 | 3 | | 38 | 20 | | 39 | 20 | | 40 | 22 | | 41 | 23 | | 42 | 4 | | 43 | 3 | | 44 | 10 | | 45 | 9 | | 46 | 7 | | 47 | 3 | | 48 | 21 | | 49 | 5 |
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| 40.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.30701754385964913 | | totalSentences | 114 | | uniqueOpeners | 35 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 111 | | matches | | 0 | "Mostly by my own memories" | | 1 | "Maybe they didn't leave it." | | 2 | "Maybe they were interrupted." |
| | ratio | 0.027 | |
| 79.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 111 | | matches | | 0 | "She checked the worn leather" | | 1 | "She reached the center of" | | 2 | "She kept tucking a loose" | | 3 | "She took in the scene" | | 4 | "Her eyes were wide, darting" | | 5 | "You shouldn't have come down" | | 6 | "She kept her gaze fixed" | | 7 | "It had been buried under" | | 8 | "It’s not glowing, it’s leaking," | | 9 | "It’s a rupture." | | 10 | "It’s avoiding the spot." | | 11 | "She fought the urge to" | | 12 | "You’re an expert on the" | | 13 | "She looked exhausted, her oversized" | | 14 | "It amplifies them." | | 15 | "It was atomized into the" | | 16 | "She reached into her pocket" | | 17 | "She held it up at" | | 18 | "It feels heavy, colder than" | | 19 | "It’s a tool for navigation," |
| | ratio | 0.351 | |
| 81.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 111 | | matches | | 0 | "The damp air in the" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "She checked the worn leather" | | 3 | "She reached the center of" | | 4 | "Eva Kowalski was already there," | | 5 | "The younger woman looked small" | | 6 | "She kept tucking a loose" | | 7 | "Quinn stopped, her boots silent" | | 8 | "She took in the scene" | | 9 | "Detective, Eva said, keeping her" | | 10 | "Her eyes were wide, darting" | | 11 | "You shouldn't have come down" | | 12 | "This isn't just a murder." | | 13 | "The forensics team already pulled" | | 14 | "Quinn didn't offer a pleasantry." | | 15 | "She kept her gaze fixed" | | 16 | "That’s because this isn't a" | | 17 | "This is a crime scene." | | 18 | "The energy consumed it." | | 19 | "Whatever was traded here, it" |
| | ratio | 0.757 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 6 | | totalSentences | 111 | | matches | | 0 | "To the untrained eye, it" | | 1 | "If they opened a portal" | | 2 | "If you touch the sigils," | | 3 | "If you keep pulling at" | | 4 | "If they were packing up," | | 5 | "If I had, they would" |
| | ratio | 0.054 | |
| 97.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 3 | | matches | | 0 | "She reached into her pocket and pulled out a small, metallic object she had recovered from the trash bin near the station entrance: a piece of brass, covered in…" | | 1 | "Mostly by my own memories of better detectives who died following leads you’re currently hiding from me." | | 2 | "There were scratches in the metal, deep and parallel, as if something gargantuan had dragged its claws across the iron." |
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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 | |