| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1065 | | 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) | |
| 81.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1065 | | totalAiIsms | 4 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "practiced ease" | | 1 | "streaming" | | 2 | "echo" | | 3 | "pulse" |
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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 | 93 | | matches | (empty) | |
| 50.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 96.03% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0.011 | | matches | | 0 | "The suspect had emerged at half past eleven,避开 her surveillance position with a practiced ease that told her everything." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1051 | | 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 | 23 | | wordCount | 1051 | | uniqueNames | 13 | | maxNameDensity | 0.67 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Morris" | | discoveredNames | | London | 2 | | Harlow | 1 | | Quinn | 7 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Metropolitan | 1 | | Police | 1 | | Victorian | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Morris | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Police" | | 4 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1051 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 37.54 | | std | 27.09 | | cv | 0.722 | | sampleLengths | | 0 | 81 | | 1 | 82 | | 2 | 29 | | 3 | 3 | | 4 | 103 | | 5 | 51 | | 6 | 26 | | 7 | 41 | | 8 | 19 | | 9 | 2 | | 10 | 51 | | 11 | 47 | | 12 | 3 | | 13 | 41 | | 14 | 21 | | 15 | 71 | | 16 | 39 | | 17 | 33 | | 18 | 41 | | 19 | 41 | | 20 | 25 | | 21 | 82 | | 22 | 41 | | 23 | 3 | | 24 | 52 | | 25 | 14 | | 26 | 4 | | 27 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 57.40% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 187 | | matches | | 0 | "was going" | | 1 | "was, standing" | | 2 | "was selling" | | 3 | "were fighting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 93 | | ratio | 0.065 | | matches | | 0 | "Eighteen years on the force had taught her to gauge a chase—the suspect's stamina, the distance, the odds of losing them around the next corner." | | 1 | "Her worn leather watch jangled against her left wrist—the only piece of sentiment she allowed herself, an old habit from a partner who'd been dead for three years." | | 2 | "The stairs wound down past layers of London history—Victorian brick giving way to wartime concrete, then something older, stone worn smooth by decades of moisture." | | 3 | "She could make out shapes—stalls, perhaps, or booths—arranged in a rough semicircle." | | 4 | "Not many—perhaps thirty, forty at most—but enough to create noise, enough to hide a single man." | | 5 | "People stepped aside, but not quickly enough to seem respectful—more like she was something undesirable, something that didn't belong." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1065 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03568075117370892 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010328638497652582 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.3 | | std | 7.87 | | cv | 0.696 | | sampleLengths | | 0 | 16 | | 1 | 18 | | 2 | 25 | | 3 | 4 | | 4 | 18 | | 5 | 9 | | 6 | 16 | | 7 | 22 | | 8 | 10 | | 9 | 25 | | 10 | 19 | | 11 | 5 | | 12 | 5 | | 13 | 3 | | 14 | 11 | | 15 | 16 | | 16 | 9 | | 17 | 28 | | 18 | 6 | | 19 | 5 | | 20 | 28 | | 21 | 12 | | 22 | 13 | | 23 | 19 | | 24 | 7 | | 25 | 1 | | 26 | 2 | | 27 | 12 | | 28 | 1 | | 29 | 1 | | 30 | 9 | | 31 | 9 | | 32 | 8 | | 33 | 7 | | 34 | 17 | | 35 | 8 | | 36 | 11 | | 37 | 2 | | 38 | 25 | | 39 | 15 | | 40 | 6 | | 41 | 2 | | 42 | 3 | | 43 | 9 | | 44 | 12 | | 45 | 12 | | 46 | 6 | | 47 | 8 | | 48 | 3 | | 49 | 14 |
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| 52.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3655913978494624 | | totalSentences | 93 | | uniqueOpeners | 34 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 86 | | matches | | 0 | "She'd been watching The Raven's" | | 1 | "She'd clocked the regulars, noted" | | 2 | "He'd known she was there." | | 3 | "Her worn leather watch jangled" | | 4 | "He'd believed in the truth." | | 5 | "She rounded the corner and" | | 6 | "She paused, chest heaving, rain" | | 7 | "Her hand found her weapon" | | 8 | "She could make out shapes—stalls," | | 9 | "She'd laughed at the time." | | 10 | "They wore clothes that belonged" | | 11 | "She was alone in a" | | 12 | "He saw her." | | 13 | "She saw him see her." | | 14 | "She reached the door." | | 15 | "Her hand touched the handle." | | 16 | "She'd felt it in the" | | 17 | "Her watch ticked." | | 18 | "She opened the door." |
| | ratio | 0.221 | |
| 64.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 86 | | matches | | 0 | "The rain had been falling" | | 1 | "Detective Harlow Quinn ran through" | | 2 | "This one felt wrong." | | 3 | "The man ahead of her" | | 4 | "She'd been watching The Raven's" | | 5 | "The bar in Soho with" | | 6 | "A place that appeared to" | | 7 | "A place where men drank" | | 8 | "She'd clocked the regulars, noted" | | 9 | "The suspect had emerged at" | | 10 | "He'd known she was there." | | 11 | "Quinn pumped her arms harder," | | 12 | "The rain plastered her short" | | 13 | "Her worn leather watch jangled" | | 14 | "Morris had believed in the" | | 15 | "He'd believed in the truth." | | 16 | "The truth had gotten him" | | 17 | "The suspect veered left onto" | | 18 | "Quinn adjusted her trajectory, her" | | 19 | "The streets were emptier here," |
| | ratio | 0.791 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 11 | | matches | | 0 | "A place that appeared to be nothing more than a dimly lit establishment with old maps on the walls and black-and-white photographs." | | 1 | "The suspect had emerged at half past eleven,避开 her surveillance position with a practiced ease that told her everything." | | 2 | "Her worn leather watch jangled against her left wrist—the only piece of sentiment she allowed herself, an old habit from a partner who'd been dead for three yea…" | | 3 | "A supernatural black market that moved every full moon, selling enchanted goods and information." | | 4 | "But here she was, standing in a place that defied every rational explanation, and her suspect had vanished into the crowd." | | 5 | "They wore clothes that belonged to different eras, different aesthetics, as if fashion had become irrelevant." | | 6 | "A man nearby examined a compass that spun without stopping, its needle chasing something that wasn't north." | | 7 | "People stepped aside, but not quickly enough to seem respectful—more like she was something undesirable, something that didn't belong." | | 8 | "Everything she'd been investigating pointed to something that lived in the margins, in the spaces between what people believed and what was real." | | 9 | "Morris had given it to her, back when they were partners, back when they'd believed they were fighting the good fight against enemies that could be seen and und…" | | 10 | "The rational part of her mind screamed to go back, call in specialists, wait for daylight, do anything except walk through a door into darkness on the word of a…" |
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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 | |