| 53.66% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "Barnes offered instantly [instantly]" | | 1 | "Harlow said softly [softly]" | | 2 | "Eva said softly [softly]" |
| | dialogueSentences | 41 | | tagDensity | 0.439 | | leniency | 0.878 | | rawRatio | 0.167 | | effectiveRatio | 0.146 | |
| 78.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1370 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "carefully" | | 1 | "gently" | | 2 | "nervously" | | 3 | "softly" | | 4 | "slowly" |
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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) | |
| 56.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1370 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "shattered" | | 1 | "framework" | | 2 | "silk" | | 3 | "scanning" | | 4 | "pristine" | | 5 | "etched" | | 6 | "intricate" | | 7 | "intensity" | | 8 | "stark" | | 9 | "resolve" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1367 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 961 | | uniqueNames | 12 | | maxNameDensity | 2.29 | | worstName | "Harlow" | | maxWindowNameDensity | 5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Harlow | 22 | | Quinn | 1 | | London | 1 | | Underground | 1 | | Blitz | 1 | | Sergeant | 1 | | Barnes | 7 | | Latin | 1 | | Whitechapel | 1 | | Morris | 2 | | Eva | 10 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Sergeant" | | 4 | "Barnes" | | 5 | "Morris" | | 6 | "Eva" |
| | places | | | globalScore | 0.355 | | windowScore | 0 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "cer who looked visibly exasperated" | | 1 | "seemed stuffed to bursting with books" |
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| 53.69% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.463 | | wordCount | 1367 | | matches | | 0 | "not cardinal directions, but intricate, interlocking symbols" | | 1 | "not shock, but recognition" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 32.55 | | std | 23.73 | | cv | 0.729 | | sampleLengths | | 0 | 21 | | 1 | 55 | | 2 | 36 | | 3 | 60 | | 4 | 30 | | 5 | 66 | | 6 | 13 | | 7 | 8 | | 8 | 82 | | 9 | 5 | | 10 | 42 | | 11 | 13 | | 12 | 3 | | 13 | 72 | | 14 | 39 | | 15 | 20 | | 16 | 5 | | 17 | 41 | | 18 | 40 | | 19 | 80 | | 20 | 71 | | 21 | 9 | | 22 | 2 | | 23 | 12 | | 24 | 90 | | 25 | 28 | | 26 | 12 | | 27 | 39 | | 28 | 20 | | 29 | 48 | | 30 | 5 | | 31 | 32 | | 32 | 16 | | 33 | 4 | | 34 | 28 | | 35 | 44 | | 36 | 23 | | 37 | 19 | | 38 | 37 | | 39 | 56 | | 40 | 20 | | 41 | 21 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 72 | | matches | | 0 | "been sealed" | | 1 | "been severed" | | 2 | "was dressed" | | 3 | "was frayed" | | 4 | "been swept" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 164 | | matches | | 0 | "were taking" | | 1 | "were looking" | | 2 | "weren't looking" | | 3 | "was escaping" | | 4 | "was nervously tucking" |
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| 22.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 95 | | ratio | 0.042 | | matches | | 0 | "\"His watch is solid gold. The cash in his breast pocket—\" She used a pen from her coat to pull back the lapel, revealing a thick wedge of hundred-pound notes tucked into the leather lining—\"is still here. So it’s not a mugging, and it’s not a gang hit. Gangs don't leave five grand in cash on a corpse.\"" | | 1 | "The police photographers were taking flashes near the tunnel mouth, but they were looking at the obvious—the body, the entrance, the shattered lock upstairs." | | 2 | "Etched into the glass were not cardinal directions, but intricate, interlocking symbols—sigils that looked faintly Latin, though twisted into sharp, unnatural angles." | | 3 | "A subtle shift passed over her face—not shock, but recognition." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 576 | | adjectiveStacks | 1 | | stackExamples | | 0 | "raw, unpolished black stones." |
| | adverbCount | 13 | | adverbRatio | 0.022569444444444444 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010416666666666666 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 14.39 | | std | 10.23 | | cv | 0.711 | | sampleLengths | | 0 | 21 | | 1 | 13 | | 2 | 30 | | 3 | 10 | | 4 | 2 | | 5 | 13 | | 6 | 23 | | 7 | 26 | | 8 | 34 | | 9 | 3 | | 10 | 18 | | 11 | 9 | | 12 | 21 | | 13 | 17 | | 14 | 28 | | 15 | 9 | | 16 | 4 | | 17 | 4 | | 18 | 4 | | 19 | 24 | | 20 | 58 | | 21 | 5 | | 22 | 37 | | 23 | 5 | | 24 | 10 | | 25 | 3 | | 26 | 3 | | 27 | 12 | | 28 | 27 | | 29 | 11 | | 30 | 22 | | 31 | 16 | | 32 | 23 | | 33 | 13 | | 34 | 7 | | 35 | 5 | | 36 | 11 | | 37 | 24 | | 38 | 6 | | 39 | 17 | | 40 | 16 | | 41 | 7 | | 42 | 12 | | 43 | 24 | | 44 | 4 | | 45 | 22 | | 46 | 18 | | 47 | 12 | | 48 | 37 | | 49 | 9 |
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| 80.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5052631578947369 | | totalSentences | 95 | | uniqueOpeners | 48 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 67 | | matches | | 0 | "Her boots crunched over shattered" | | 1 | "She checked the worn leather" | | 2 | "She stepped carefully around a" | | 3 | "She lowered herself onto one" | | 4 | "His throat had been severed," | | 5 | "He was dressed in a" | | 6 | "She used a pen from" | | 7 | "She walked away from the" | | 8 | "They weren't looking at the" | | 9 | "She crouched again, pulling a" | | 10 | "She gently cleared the dark" | | 11 | "It was a small brass" | | 12 | "Its casing was heavy, coated" | | 13 | "She slipped the brass compass" | | 14 | "Her curly red hair was" | | 15 | "She was nervously tucking a" | | 16 | "She straightened her glasses with" | | 17 | "She looked past Harlow, her" | | 18 | "She didn't pull it out." | | 19 | "It wasn't a question." |
| | ratio | 0.299 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The air thirty feet beneath" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "Her boots crunched over shattered" | | 3 | "She checked the worn leather" | | 4 | "Floodlights mounted on yellow tripods" | | 5 | "Detective Sergeant Barnes said, leaning" | | 6 | "Harlow didn't answer." | | 7 | "She stepped carefully around a" | | 8 | "She lowered herself onto one" | | 9 | "The man lay on his" | | 10 | "His throat had been severed," | | 11 | "He was dressed in a" | | 12 | "Harlow repeated, her voice dry" | | 13 | "Barnes offered instantly" | | 14 | "Harlow noted, pointing a gloved" | | 15 | "She used a pen from" | | 16 | "Harlow stood, her sharp jaw" | | 17 | "Barnes looked down, squinting under" | | 18 | "The dust on the platform" | | 19 | "Harlow said, her brown eyes" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 20.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 7 | | matches | | 0 | "Her boots crunched over shattered white tiles, the remnants of a London Underground platform that had been sealed off before the Blitz and erased from official …" | | 1 | "Yet around the body, the dust had been swept clean in precise, geometric lines, forming a series of concentric circles that radiated outward for nearly ten feet…" | | 2 | "Its casing was heavy, coated in a thick green patina of verdigris that spoke of age or dampness, but the glass face was pristine." | | 3 | "Etched into the glass were not cardinal directions, but intricate, interlocking symbols—sigils that looked faintly Latin, though twisted into sharp, unnatural a…" | | 4 | "Inside, the needle span wildly, refusing to settle on north, trembling as if caught in a localized gale." | | 5 | "The woman was slight, around five-foot-four, wearing a heavy corduroy coat and carrying a worn leather satchel that seemed stuffed to bursting with books." | | 6 | "She looked past Harlow, her eyes lingering on the clean circles drawn in the dust around the corpse, then moving to the overturned crates." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "Harlow repeated, her voice dry as dead leaves" | | 1 | "Harlow said, her brown eyes narrowing as she tracked the disturbed dust" | | 2 | "the woman said, her voice quiet but clear" |
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| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 5 | | fancyTags | | 0 | "Harlow repeated (repeat)" | | 1 | "Harlow noted (note)" | | 2 | "she corrected (correct)" | | 3 | "Harlow murmured (murmur)" | | 4 | "Eva whispered (whisper)" |
| | dialogueSentences | 41 | | tagDensity | 0.341 | | leniency | 0.683 | | rawRatio | 0.357 | | effectiveRatio | 0.244 | |