| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped aside [aside]" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.2 | | effectiveRatio | 0.143 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1099 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 40.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1099 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "weight" | | 3 | "familiar" | | 4 | "unravel" | | 5 | "vibrated" | | 6 | "flickered" | | 7 | "rhythmic" | | 8 | "pulse" | | 9 | "silk" | | 10 | "whisper" |
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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 | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 37 | | totalWords | 1099 | | ratio | 0.034 | | matches | | 0 | "Morris didn't make it to forty-two." | | 1 | "past" | | 2 | "Urban Legends" | | 3 | "One chance. Go loud or go home." | | 4 | "That's not possible." | | 5 | "Twenty-three. Twenty-four." | | 6 | "Keep moving." | | 7 | "Morris had a bone token. Found it at the last crime scene." | | 8 | "Thump-thump. Thump-thump." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1012 | | uniqueNames | 18 | | maxNameDensity | 0.49 | | worstName | "Morris" | | maxWindowNameDensity | 1 | | worstWindowName | "Morris" | | discoveredNames | | Soho | 1 | | Underground | 1 | | Old | 1 | | Compton | 1 | | Street | 1 | | French | 1 | | House | 1 | | Covent | 1 | | Garden | 1 | | London | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Morris | 5 | | Greek | 1 | | Victorian | 1 | | Ahead | 1 | | Like | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Old" | | 2 | "Compton" | | 3 | "Street" | | 4 | "French" | | 5 | "House" | | 6 | "Covent" | | 7 | "Garden" | | 8 | "London" | | 9 | "Victorian" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | 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 | 1099 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 144 | | matches | | 0 | "broke that rule" | | 1 | "shaped that way" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 18.95 | | std | 17.42 | | cv | 0.919 | | sampleLengths | | 0 | 16 | | 1 | 51 | | 2 | 68 | | 3 | 8 | | 4 | 4 | | 5 | 52 | | 6 | 6 | | 7 | 47 | | 8 | 7 | | 9 | 4 | | 10 | 4 | | 11 | 36 | | 12 | 14 | | 13 | 5 | | 14 | 38 | | 15 | 6 | | 16 | 57 | | 17 | 6 | | 18 | 7 | | 19 | 44 | | 20 | 12 | | 21 | 4 | | 22 | 3 | | 23 | 20 | | 24 | 3 | | 25 | 37 | | 26 | 2 | | 27 | 37 | | 28 | 44 | | 29 | 4 | | 30 | 7 | | 31 | 38 | | 32 | 2 | | 33 | 32 | | 34 | 11 | | 35 | 39 | | 36 | 3 | | 37 | 3 | | 38 | 31 | | 39 | 12 | | 40 | 27 | | 41 | 7 | | 42 | 8 | | 43 | 34 | | 44 | 4 | | 45 | 28 | | 46 | 2 | | 47 | 3 | | 48 | 39 | | 49 | 4 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 135 | | matches | | 0 | "been opened" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 189 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 144 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1017 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02359882005899705 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004916420845624385 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 7.63 | | std | 5.07 | | cv | 0.664 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 13 | | 3 | 5 | | 4 | 17 | | 5 | 26 | | 6 | 11 | | 7 | 10 | | 8 | 12 | | 9 | 9 | | 10 | 5 | | 11 | 3 | | 12 | 4 | | 13 | 17 | | 14 | 7 | | 15 | 15 | | 16 | 13 | | 17 | 6 | | 18 | 18 | | 19 | 4 | | 20 | 6 | | 21 | 19 | | 22 | 7 | | 23 | 4 | | 24 | 4 | | 25 | 9 | | 26 | 8 | | 27 | 19 | | 28 | 4 | | 29 | 10 | | 30 | 5 | | 31 | 20 | | 32 | 7 | | 33 | 11 | | 34 | 6 | | 35 | 6 | | 36 | 3 | | 37 | 16 | | 38 | 11 | | 39 | 8 | | 40 | 13 | | 41 | 6 | | 42 | 2 | | 43 | 5 | | 44 | 11 | | 45 | 12 | | 46 | 2 | | 47 | 2 | | 48 | 8 | | 49 | 9 |
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| 51.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3819444444444444 | | totalSentences | 144 | | uniqueOpeners | 55 | |
| 59.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 113 | | matches | | 0 | "Directly for the grate." | | 1 | "Too large, too dark, set" |
| | ratio | 0.018 | |
| 96.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 113 | | matches | | 0 | "I broke that rule somewhere" | | 1 | "My service pistol stayed holstered." | | 2 | "He wore a grey hoodie," | | 3 | "I'd caught him leaving a" | | 4 | "He cut left, boots splashing" | | 5 | "I matched his pace, my" | | 6 | "He saw me gaining." | | 7 | "He stopped running toward the" | | 8 | "He ran *past* it." | | 9 | "He dropped through without hesitation." | | 10 | "I skidded to a halt" | | 11 | "I knew what sat beneath" | | 12 | "I'd spent three years trying" | | 13 | "My superiors called it a" | | 14 | "I unhooked the flashlight from" | | 15 | "My voice bounced off unseen" | | 16 | "They sped up." | | 17 | "I took a breath." | | 18 | "I swung onto the ladder." | | 19 | "I descended fast, counting rungs" |
| | ratio | 0.31 | |
| 70.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 113 | | matches | | 0 | "The first rule of chasing" | | 1 | "I broke that rule somewhere" | | 2 | "Rain lashed my face as" | | 3 | "My service pistol stayed holstered." | | 4 | "The man ahead of me" | | 5 | "He wore a grey hoodie," | | 6 | "I'd caught him leaving a" | | 7 | "The body inside had been" | | 8 | "The victim's throat had been" | | 9 | "This was ritual work." | | 10 | "He cut left, boots splashing" | | 11 | "I matched his pace, my" | | 12 | "Morris used to say I" | | 13 | "*Morris didn't make it to" | | 14 | "The thought hit me as" | | 15 | "He saw me gaining." | | 16 | "He stopped running toward the" | | 17 | "He ran *past* it." | | 18 | "A maintenance access to the" | | 19 | "The sort of thing that" |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 113 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 7 | | matches | | 0 | "The man ahead of me had a half-second lead and the kind of desperate energy that came from knowing what waited at the end of handcuffs." | | 1 | "He cut left, boots splashing through a puddle that reflected the garish neon of a sex shop." | | 2 | "The sort of thing that shouldn't be open, shouldn't be accessible, shouldn't exist on any modern map of London." | | 3 | "A shifting bazaar that moved locations every full moon, accessible only by bone token and invitation." | | 4 | "Something else illuminated the space, casting shadows that moved independently of the objects creating them." | | 5 | "A vendor with too many fingers rearranged jars containing things that glowed from within." | | 6 | "Too large, too dark, set in a face that was beautiful and terrible in equal measure." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.5 | | effectiveRatio | 0.143 | |