| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 87.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1202 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "very" |
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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) | |
| 29.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1202 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "gloom" | | 1 | "pulse" | | 2 | "echoed" | | 3 | "familiar" | | 4 | "pristine" | | 5 | "scanning" | | 6 | "weight" | | 7 | "variables" | | 8 | "chaotic" | | 9 | "etched" | | 10 | "rhythmic" | | 11 | "charged" | | 12 | "chilling" | | 13 | "output" |
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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 | 98 | | matches | (empty) | |
| 55.39% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "try to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1198 | | ratio | 0 | | matches | (empty) | |
| 97.22% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 1 | | matches | | 0 | "Detective, Eva breathed, her voice cracking slightly as it echoed against the vaulted ceiling." |
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| 83.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1198 | | uniqueNames | 17 | | maxNameDensity | 1.34 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 16 | | Quinn | 1 | | Victorian | 1 | | Metropolitan | 1 | | Police | 1 | | Eva | 16 | | Kowalski | 1 | | Local | 1 | | Veil | 4 | | Market | 4 | | Compass | 2 | | Detective | 5 | | Morris | 2 | | Met | 1 | | You | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Police" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Market" | | 6 | "Morris" | | 7 | "Met" | | 8 | "You" |
| | places | | 0 | "Metropolitan" | | 1 | "Veil" | | 2 | "Compass" |
| | globalScore | 0.832 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.835 | | wordCount | 1198 | | matches | | 0 | "not out of malice, but out of a sudden, chilling certainty" |
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| 98.64% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 98 | | matches | | 0 | "felt that night" | | 1 | "changed, that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 38.65 | | std | 21.66 | | cv | 0.561 | | sampleLengths | | 0 | 73 | | 1 | 42 | | 2 | 4 | | 3 | 72 | | 4 | 16 | | 5 | 21 | | 6 | 32 | | 7 | 63 | | 8 | 57 | | 9 | 73 | | 10 | 14 | | 11 | 31 | | 12 | 71 | | 13 | 22 | | 14 | 6 | | 15 | 11 | | 16 | 72 | | 17 | 34 | | 18 | 56 | | 19 | 13 | | 20 | 51 | | 21 | 47 | | 22 | 58 | | 23 | 36 | | 24 | 23 | | 25 | 17 | | 26 | 47 | | 27 | 29 | | 28 | 56 | | 29 | 22 | | 30 | 29 |
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| 83.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 98 | | matches | | 0 | "been bludgeoned" | | 1 | "was pinned" | | 2 | "was shifted" | | 3 | "were scuffed" | | 4 | "was placed" | | 5 | "been killed" |
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| 40.51% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 209 | | matches | | 0 | "wasn't bleeding" | | 1 | "were glowing" | | 2 | "was looking" | | 3 | "wasn't looking" | | 4 | "were meeting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 98 | | ratio | 0.061 | | matches | | 0 | "She looked up, her fingers instantly moving to tuck a strand of hair behind her left ear—a nervous tic that Harlow had noted during their brief, pointed encounters in the past." | | 1 | "The local authorities—" | | 2 | "He was a dealer—a runner for the Veil Market." | | 3 | "DS Morris had been killed by something the reports called a gas leak, but Harlow remembered the way the air had felt that night—heavy, charged, almost sentient." | | 4 | "She wasn't looking for a criminal anymore; she was looking for a pattern." | | 5 | "A distant sound echoed from the tunnels—a rhythmic, heavy thumping, like the heartbeat of a train, though no rail had hummed here in decades." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1213 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminating salt-streaked tiles" |
| | adverbCount | 31 | | adverbRatio | 0.025556471558120363 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.00989282769991756 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 12.22 | | std | 7.85 | | cv | 0.642 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 34 | | 3 | 20 | | 4 | 22 | | 5 | 4 | | 6 | 11 | | 7 | 30 | | 8 | 31 | | 9 | 16 | | 10 | 14 | | 11 | 4 | | 12 | 3 | | 13 | 32 | | 14 | 9 | | 15 | 13 | | 16 | 3 | | 17 | 10 | | 18 | 5 | | 19 | 23 | | 20 | 9 | | 21 | 5 | | 22 | 9 | | 23 | 16 | | 24 | 7 | | 25 | 11 | | 26 | 6 | | 27 | 8 | | 28 | 2 | | 29 | 2 | | 30 | 11 | | 31 | 10 | | 32 | 13 | | 33 | 21 | | 34 | 14 | | 35 | 7 | | 36 | 8 | | 37 | 3 | | 38 | 13 | | 39 | 8 | | 40 | 24 | | 41 | 9 | | 42 | 11 | | 43 | 2 | | 44 | 12 | | 45 | 5 | | 46 | 22 | | 47 | 6 | | 48 | 6 | | 49 | 5 |
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| 47.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3673469387755102 | | totalSentences | 98 | | uniqueOpeners | 36 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Just a small brass object" |
| | ratio | 0.011 | |
| 54.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 94 | | matches | | 0 | "Her flashlight beam cut through" | | 1 | "She stopped, the worn leather" | | 2 | "She looked up, her fingers" | | 3 | "You shouldn't be here." | | 4 | "Her sharp jaw tightened as" | | 5 | "He wasn't bleeding." | | 6 | "He didn't look like he" | | 7 | "He looked, quite simply, erased." | | 8 | "His clothes were pristine, his" | | 9 | "It’s an alchemical void-trap, Harlow." | | 10 | "He was a dealer—a runner" | | 11 | "He tried to move product" | | 12 | "It’s a tragic accident, but" | | 13 | "You’re looking for a murder," | | 14 | "She hovered her light over" | | 15 | "She knelt, ignoring the damp" | | 16 | "It was a Veil Compass," | | 17 | "You know that." | | 18 | "Her brown eyes were cold," | | 19 | "You’ve been studying these archives" |
| | ratio | 0.415 | |
| 71.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 94 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stood on" | | 2 | "Her flashlight beam cut through" | | 3 | "She stopped, the worn leather" | | 4 | "The girl looked entirely out" | | 5 | "She looked up, her fingers" | | 6 | "Eva clutched her battered leather" | | 7 | "Detective, Eva breathed, her voice" | | 8 | "You shouldn't be here." | | 9 | "The local authorities—" | | 10 | "Her sharp jaw tightened as" | | 11 | "He wasn't bleeding." | | 12 | "He didn't look like he" | | 13 | "He looked, quite simply, erased." | | 14 | "His clothes were pristine, his" | | 15 | "Eva stepped forward, her eyes" | | 16 | "It’s an alchemical void-trap, Harlow." | | 17 | "He was a dealer—a runner" | | 18 | "He tried to move product" | | 19 | "It’s a tragic accident, but" |
| | ratio | 0.777 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 94 | | matches | | 0 | "If he had triggered a" | | 1 | "If I tell you what" | | 2 | "If it wants a harvest," |
| | ratio | 0.032 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 5 | | matches | | 0 | "Forty-one years of life and eighteen years in the Metropolitan Police force had built a wall of cynicism that protected her from the city’s usual ugliness, but …" | | 1 | "Her flashlight beam cut through the damp gloom, illuminating salt-streaked tiles that had not seen a commuter since the forties." | | 2 | "Local authorities don't have jurisdiction in a place that technically doesn't exist, Harlow said, her voice dropping into that familiar, clipped register that h…" | | 3 | "An accident doesn't leave a compass tracking a rift that isn't here, Harlow muttered." | | 4 | "The protective sigils etched into the surface were glowing, a faint, rhythmic pulse that matched the beating of her own heart." |
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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 | |