| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow stood abruptly [abruptly]" |
| | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.167 | | effectiveRatio | 0.091 | |
| 91.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 610 | | 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) | |
| 42.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 610 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "shattered" | | 1 | "etched" | | 2 | "tension" | | 3 | "rhythmic" | | 4 | "flicker" | | 5 | "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 | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 14 | | totalWords | 603 | | ratio | 0.023 | | matches | | 0 | "think" | | 1 | "something" | | 2 | "door" | | 3 | "map" | | 4 | "thump" | | 5 | "rift" | | 6 | "\"You shouldn’t have come.\"" | | 7 | "\"Oh, but you have.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 25.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 442 | | uniqueNames | 6 | | maxNameDensity | 2.49 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 11 | | Davies | 6 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Davies" | | 2 | "Camden" | | 3 | "Market" |
| | places | (empty) | | globalScore | 0.256 | | windowScore | 0.5 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 28 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a slow, mocking heartbeat" |
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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 | 603 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 24.12 | | std | 22.28 | | cv | 0.924 | | sampleLengths | | 0 | 1 | | 1 | 17 | | 2 | 40 | | 3 | 10 | | 4 | 72 | | 5 | 31 | | 6 | 51 | | 7 | 11 | | 8 | 72 | | 9 | 3 | | 10 | 68 | | 11 | 16 | | 12 | 32 | | 13 | 8 | | 14 | 21 | | 15 | 2 | | 16 | 55 | | 17 | 9 | | 18 | 7 | | 19 | 28 | | 20 | 10 | | 21 | 4 | | 22 | 16 | | 23 | 10 | | 24 | 9 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 41 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 80 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 57 | | ratio | 0.07 | | matches | | 0 | "She was already moving, her boots crunching over broken glass that wasn’t glass at all—shattered mirror, the kind that reflected more than light." | | 1 | "The needle spun wildly before settling on a single, jagged mark etched into the station’s wall—a sigil Harlow didn’t recognise." | | 2 | "The station’s tunnels twisted and turned, the air growing thicker, the sounds of dripping water replaced by something deeper—a low, rhythmic *thump*, like a heartbeat." | | 3 | "And then—" |
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| 99.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 448 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.04017857142857143 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.013392857142857142 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 10.56 | | std | 7.83 | | cv | 0.742 | | sampleLengths | | 0 | 17 | | 1 | 17 | | 2 | 17 | | 3 | 6 | | 4 | 7 | | 5 | 3 | | 6 | 23 | | 7 | 27 | | 8 | 6 | | 9 | 16 | | 10 | 13 | | 11 | 18 | | 12 | 3 | | 13 | 23 | | 14 | 14 | | 15 | 11 | | 16 | 3 | | 17 | 8 | | 18 | 7 | | 19 | 37 | | 20 | 20 | | 21 | 8 | | 22 | 2 | | 23 | 1 | | 24 | 3 | | 25 | 16 | | 26 | 15 | | 27 | 21 | | 28 | 13 | | 29 | 10 | | 30 | 6 | | 31 | 3 | | 32 | 20 | | 33 | 9 | | 34 | 6 | | 35 | 2 | | 36 | 19 | | 37 | 2 | | 38 | 2 | | 39 | 25 | | 40 | 12 | | 41 | 18 | | 42 | 5 | | 43 | 4 | | 44 | 4 | | 45 | 3 | | 46 | 9 | | 47 | 17 | | 48 | 2 | | 49 | 10 |
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| 64.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.43859649122807015 | | totalSentences | 57 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 38 | | matches | | 0 | "His gloved fingers brushed against" | | 1 | "She was already moving, her" | | 2 | "She knelt beside a pool" | | 3 | "She picked up a small," | | 4 | "She pointed to the satchel" | | 5 | "She held up a small," | | 6 | "Her eyes were locked onto" | | 7 | "She didn’t flinch." | | 8 | "She just kept walking, the" |
| | ratio | 0.237 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 38 | | matches | | 0 | "The brass compass hummed between" | | 1 | "DS Davies muttered, his breath" | | 2 | "His gloved fingers brushed against" | | 3 | "Harlow didn’t look up from" | | 4 | "The abandoned Tube station beneath" | | 5 | "The flickering emergency lights cast" | | 6 | "This wasn’t just another crime" | | 7 | "This was the Veil Market’s" | | 8 | "Davies crouched beside a crumpled" | | 9 | "Harlow didn’t answer." | | 10 | "She was already moving, her" | | 11 | "She knelt beside a pool" | | 12 | "Davies exhaled sharply." | | 13 | "Harlow said, her voice low" | | 14 | "She picked up a small," | | 15 | "The needle spun wildly before" | | 16 | "Harlow’s jaw tightened." | | 17 | "She pointed to the satchel" | | 18 | "A single, red curl had" | | 19 | "She held up a small," |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 3 | | matches | | 0 | "The abandoned Tube station beneath Camden reeked of wet stone and something older, something that clung to the air like a second skin." | | 1 | "She was already moving, her boots crunching over broken glass that wasn’t glass at all—shattered mirror, the kind that reflected more than light." | | 2 | "Her eyes were locked onto the compass, the needle still twitching, as if something was trying to pull it away." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "DS Davies muttered, his breath fogging the air between them" | | 1 | "Harlow said, her voice low" | | 2 | "Harlow stood abruptly, her voice cutting through the tension like a blade" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "DS Davies muttered (mutter)" |
| | dialogueSentences | 22 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0.5 | | effectiveRatio | 0.091 | |