| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 32 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.071 | | effectiveRatio | 0.063 | |
| 96.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1338 | | 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) | |
| 51.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1338 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "fragmented" | | 1 | "loomed" | | 2 | "glint" | | 3 | "lilt" | | 4 | "lurched" | | 5 | "stomach" | | 6 | "churning" | | 7 | "vibrated" | | 8 | "constructed" | | 9 | "velvet" | | 10 | "scanned" | | 11 | "echoed" | | 12 | "profound" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 132 | | matches | | |
| 88.74% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "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 | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 8 | | totalWords | 1322 | | ratio | 0.006 | | matches | | 0 | "Damn it." | | 1 | "Morris." | | 2 | "The Veil Market." | | 3 | "Focus, Quinn." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1182 | | uniqueNames | 18 | | maxNameDensity | 0.59 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Old | 1 | | Compton | 1 | | Street | 1 | | Herrera | 7 | | Regaining | 1 | | Met | 1 | | Morris | 2 | | Soho | 1 | | Saint | 1 | | Christopher | 1 | | Spain | 1 | | Glock | 2 | | London | 1 | | Tube | 1 | | West | 1 | | End | 1 | | Veil | 1 | | Tomás | 4 |
| | persons | | 0 | "Herrera" | | 1 | "Morris" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Glock" | | 5 | "Tomás" |
| | places | | 0 | "Old" | | 1 | "Compton" | | 2 | "Street" | | 3 | "Soho" | | 4 | "Spain" | | 5 | "London" | | 6 | "Tube" | | 7 | "West" | | 8 | "End" |
| | globalScore | 1 | | windowScore | 1 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like grinding stones" | | 1 | "sounded like dry leaves skittering on pave" | | 2 | "looked like it had been grown rather than" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.756 | | wordCount | 1322 | | matches | | 0 | "Not from the ceiling, but from the top of the escalator" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 19.73 | | std | 14.51 | | cv | 0.735 | | sampleLengths | | 0 | 8 | | 1 | 34 | | 2 | 2 | | 3 | 36 | | 4 | 13 | | 5 | 53 | | 6 | 30 | | 7 | 38 | | 8 | 16 | | 9 | 33 | | 10 | 10 | | 11 | 40 | | 12 | 27 | | 13 | 2 | | 14 | 15 | | 15 | 58 | | 16 | 16 | | 17 | 4 | | 18 | 2 | | 19 | 25 | | 20 | 1 | | 21 | 43 | | 22 | 9 | | 23 | 9 | | 24 | 31 | | 25 | 11 | | 26 | 39 | | 27 | 20 | | 28 | 3 | | 29 | 52 | | 30 | 3 | | 31 | 25 | | 32 | 11 | | 33 | 42 | | 34 | 15 | | 35 | 44 | | 36 | 2 | | 37 | 30 | | 38 | 13 | | 39 | 14 | | 40 | 2 | | 41 | 35 | | 42 | 14 | | 43 | 16 | | 44 | 26 | | 45 | 7 | | 46 | 10 | | 47 | 33 | | 48 | 12 | | 49 | 24 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 132 | | matches | | 0 | "was gone" | | 1 | "were covered" | | 2 | "been grown" |
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| 26.09% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 230 | | matches | | 0 | "was spinning" | | 1 | "wasn't laughing" | | 2 | "was scrambling" | | 3 | "was pointing" | | 4 | "was praying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 149 | | ratio | 0.067 | | matches | | 0 | "He didn't pick the lock; he pressed the bone against the rusted metal." | | 1 | "The rusted grate didn't creak open—it dissolved." | | 2 | "The name flashed in my mind—my partner, bleeding out from wounds that defied forensics three years ago." | | 3 | "They were hand-painted signs in scripts that hurt my eyes to look at—sharp angles and weeping circles." | | 4 | "The smell hit me instantly—ozone, rotting lilies, and the copper tang of old blood." | | 5 | "A gargantuan man—at least seven feet tall, wearing a butcher's apron stained with silver ichor—stepped into my path." | | 6 | "He wasn't trying to hit me; he was pointing up." | | 7 | "They wore armour that looked like it had been grown rather than forged—chitinous black plates that shifted and breathed." | | 8 | "The voice didn't come from a mouth; it echoed directly inside my skull." | | 9 | "Hundreds of eyes—some human, some glowing, some vertical slits—fixed on me." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1197 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.01921470342522974 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009189640768588136 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.87 | | std | 5.27 | | cv | 0.594 | | sampleLengths | | 0 | 8 | | 1 | 17 | | 2 | 6 | | 3 | 11 | | 4 | 2 | | 5 | 6 | | 6 | 5 | | 7 | 25 | | 8 | 11 | | 9 | 2 | | 10 | 8 | | 11 | 18 | | 12 | 13 | | 13 | 4 | | 14 | 10 | | 15 | 6 | | 16 | 4 | | 17 | 20 | | 18 | 9 | | 19 | 16 | | 20 | 13 | | 21 | 16 | | 22 | 3 | | 23 | 17 | | 24 | 13 | | 25 | 10 | | 26 | 21 | | 27 | 9 | | 28 | 4 | | 29 | 6 | | 30 | 22 | | 31 | 5 | | 32 | 2 | | 33 | 2 | | 34 | 13 | | 35 | 4 | | 36 | 15 | | 37 | 17 | | 38 | 7 | | 39 | 15 | | 40 | 11 | | 41 | 5 | | 42 | 4 | | 43 | 2 | | 44 | 4 | | 45 | 10 | | 46 | 11 | | 47 | 1 | | 48 | 17 | | 49 | 5 |
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| 41.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.3422818791946309 | | totalSentences | 149 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 16.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 120 | | matches | | 0 | "He was young, agile, and" | | 1 | "I was forty-one, pissed off," | | 2 | "He vaulted a pile of" | | 3 | "I hit the rubbish bags" | | 4 | "I pushed off the brick" | | 5 | "He ran with purpose." | | 6 | "He checked his six, saw" | | 7 | "I skidded around the brickwork," | | 8 | "I shouted, my hand dropping" | | 9 | "He didn't turn." | | 10 | "He stood before a rusted" | | 11 | "His voice was low, accented" | | 12 | "He pulled a small, jagged" | | 13 | "I took a step forward," | | 14 | "He didn't pick the lock;" | | 15 | "My ears popped, a sharp," | | 16 | "My grip on the Glock" | | 17 | "He didn't climb down." | | 18 | "He stepped into the hole" | | 19 | "I didn't think." |
| | ratio | 0.508 | |
| 18.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 120 | | matches | | 0 | "Lung-burning fire seared my chest" | | 1 | "The suspect took the corner" | | 2 | "He was young, agile, and" | | 3 | "I was forty-one, pissed off," | | 4 | "The command fragmented in the" | | 5 | "Tomás Herrera didn't slow down." | | 6 | "He vaulted a pile of" | | 7 | "I hit the rubbish bags" | | 8 | "I pushed off the brick" | | 9 | "Herrera wasn't running like a" | | 10 | "He ran with purpose." | | 11 | "He checked his six, saw" | | 12 | "I skidded around the brickwork," | | 13 | "The alley was a throat" | | 14 | "I shouted, my hand dropping" | | 15 | "He didn't turn." | | 16 | "He stood before a rusted" | | 17 | "The silver glint of a" | | 18 | "His voice was low, accented" | | 19 | "He pulled a small, jagged" |
| | ratio | 0.883 | |
| 41.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 120 | | matches | | 0 | "Or, the corpse of one." |
| | ratio | 0.008 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 4 | | matches | | 0 | "He checked his six, saw me gaining, and jagged left into a narrow service alley that shouldn't have been there." | | 1 | "The name flashed in my mind—my partner, bleeding out from wounds that defied forensics three years ago." | | 2 | "They were hand-painted signs in scripts that hurt my eyes to look at—sharp angles and weeping circles." | | 3 | "A woman bargaining over a jar of blue liquid, her fingers possessing too many joints." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "I shouted, my hand dropping to the holster at my hip" | | 1 | "I hissed, adrenaline trembling in my limbs" | | 2 | "Tomás whispered, his voice trembling" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 8 | | fancyTags | | 0 | "I shouted (shout)" | | 1 | "I muttered (mutter)" | | 2 | "I roared (roar)" | | 3 | "he grunted (grunt)" | | 4 | "I snapped (snap)" | | 5 | "I hissed (hiss)" | | 6 | "he wheezed (wheeze)" | | 7 | "Tomás whispered (whisper)" |
| | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.727 | | effectiveRatio | 0.5 | |