| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "he asked softly [softly]" |
| | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.067 | | effectiveRatio | 0.059 | |
| 85.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1758 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "slightly" | | 2 | "softly" | | 3 | "suddenly" |
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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) | |
| 71.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1758 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "beacon" | | 1 | "synchronized" | | 2 | "pounding" | | 3 | "pulse" | | 4 | "pumping" | | 5 | "echoed" | | 6 | "familiar" | | 7 | "hulking" | | 8 | "silk" |
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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 | 190 | | matches | (empty) | |
| 97.74% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 190 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 209 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 12 | | totalWords | 1740 | | ratio | 0.007 | | matches | | 0 | "Keep up, Harlow." | | 1 | "crack" | | 2 | "Suspect entered secured location. Request backup. Request cutter." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1569 | | uniqueNames | 15 | | maxNameDensity | 0.19 | | worstName | "Morris" | | maxWindowNameDensity | 1 | | worstWindowName | "Morris" | | discoveredNames | | Soho | 1 | | Old | 1 | | Compton | 1 | | Street | 1 | | London | 2 | | Met | 1 | | Camden | 1 | | Underground | 1 | | Tube | 1 | | Morris | 3 | | Northern | 1 | | Line | 1 | | Runner | 1 | | Cuffing | 1 | | Smooth | 1 |
| | persons | | 0 | "Morris" | | 1 | "Runner" | | 2 | "Smooth" |
| | places | | 0 | "Soho" | | 1 | "Old" | | 2 | "Compton" | | 3 | "Street" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 32.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 106 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like a cracked eye" | | 1 | "looked like a bazaar from a fever dream," | | 2 | "sounded like grinding stones and whisperin" | | 3 | "looked like grey granite" | | 4 | "sounded like dry leaves skittering on pave" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.575 | | wordCount | 1740 | | matches | | 0 | "not a warning but a weapon" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 209 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 20.96 | | std | 14.65 | | cv | 0.699 | | sampleLengths | | 0 | 7 | | 1 | 57 | | 2 | 37 | | 3 | 29 | | 4 | 1 | | 5 | 14 | | 6 | 39 | | 7 | 31 | | 8 | 61 | | 9 | 11 | | 10 | 9 | | 11 | 14 | | 12 | 34 | | 13 | 4 | | 14 | 42 | | 15 | 12 | | 16 | 3 | | 17 | 8 | | 18 | 40 | | 19 | 43 | | 20 | 34 | | 21 | 17 | | 22 | 30 | | 23 | 2 | | 24 | 6 | | 25 | 49 | | 26 | 5 | | 27 | 10 | | 28 | 6 | | 29 | 37 | | 30 | 14 | | 31 | 36 | | 32 | 3 | | 33 | 14 | | 34 | 22 | | 35 | 36 | | 36 | 15 | | 37 | 42 | | 38 | 30 | | 39 | 23 | | 40 | 3 | | 41 | 51 | | 42 | 34 | | 43 | 9 | | 44 | 38 | | 45 | 25 | | 46 | 12 | | 47 | 19 | | 48 | 19 | | 49 | 5 |
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| 97.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 190 | | matches | | 0 | "was filed" | | 1 | "was obscured" | | 2 | "been filed" | | 3 | "were surrounded" |
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| 59.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 284 | | matches | | 0 | "wasn't running" | | 1 | "was standing" | | 2 | "was arguing" | | 3 | "was saying" | | 4 | "wasn't looking" | | 5 | "was looking" |
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| 6.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 209 | | ratio | 0.048 | | matches | | 0 | "The mustard jacket didn't freeze; it surged." | | 1 | "He shoulder-checked a couple exiting a jazz club—saxophone wails spilling out onto the wet tarmac for a brief second—and darted into the mouth of a service alley." | | 2 | "He hit a dead end—a chain-link fence topped with razor wire." | | 3 | "I dropped into the adjacent yard—an industrial backlot for the old delivery routes—just in time to see the yellow jacket turning north, heading toward the deeper shadows of Camden." | | 4 | "One moment I was standing in the cold London rain; the next, the air was dry, hot, and thick with the smell of spices and rot." | | 5 | "The noise hit me first—a low thrum of bartering, but in languages that sounded like grinding stones and whispering wind." | | 6 | "He was arguing with a vendor—a hulking figure whose skin looked like grey granite." | | 7 | "The granite vendor didn't flinch; he just looked at me, a slow, grinding turn of the head." | | 8 | "Something inside them hissed—reptilian and angry." | | 9 | "He was handsome in a way that set every alarm bell in my head ringing—too symmetrical, too polished." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1587 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.020793950850661626 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007561436672967864 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 209 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 209 | | mean | 8.33 | | std | 6.3 | | cv | 0.756 | | sampleLengths | | 0 | 2 | | 1 | 5 | | 2 | 23 | | 3 | 3 | | 4 | 14 | | 5 | 4 | | 6 | 13 | | 7 | 14 | | 8 | 2 | | 9 | 2 | | 10 | 18 | | 11 | 1 | | 12 | 19 | | 13 | 10 | | 14 | 1 | | 15 | 14 | | 16 | 5 | | 17 | 7 | | 18 | 27 | | 19 | 7 | | 20 | 2 | | 21 | 2 | | 22 | 17 | | 23 | 3 | | 24 | 14 | | 25 | 22 | | 26 | 8 | | 27 | 3 | | 28 | 14 | | 29 | 11 | | 30 | 1 | | 31 | 4 | | 32 | 4 | | 33 | 14 | | 34 | 3 | | 35 | 24 | | 36 | 7 | | 37 | 4 | | 38 | 13 | | 39 | 10 | | 40 | 19 | | 41 | 12 | | 42 | 3 | | 43 | 4 | | 44 | 4 | | 45 | 11 | | 46 | 29 | | 47 | 4 | | 48 | 6 | | 49 | 8 |
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| 52.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.3923444976076555 | | totalSentences | 209 | | uniqueOpeners | 82 | |
| 20.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 164 | | matches | | 0 | "Instead, the air around the" |
| | ratio | 0.006 | |
| 0.49% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 90 | | totalSentences | 164 | | matches | | 0 | "I didn't shout." | | 1 | "I needed the herd." | | 2 | "I needed him blocked by" | | 3 | "My boots slammed against the" | | 4 | "He vaulted a pile of" | | 5 | "He scrambled, fingers clawing at" | | 6 | "It had the opposite effect." | | 7 | "He shoulder-checked a couple exiting" | | 8 | "I hit the corner three" | | 9 | "My leather watch chafed against" | | 10 | "He was fast, young, legs" | | 11 | "I had rage." | | 12 | "I had legs that didn't" | | 13 | "He hit a dead end—a" | | 14 | "He didn't slow down." | | 15 | "He leaped, catching the mesh" | | 16 | "I didn't climb." | | 17 | "I pulled the expandable baton" | | 18 | "I swung low, aiming for" | | 19 | "He yelped, a high-pitched sound" |
| | ratio | 0.549 | |
| 20.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 164 | | matches | | 0 | "The jacket flashed under the" | | 1 | "I didn't shout." | | 2 | "Shouting clears a path for" | | 3 | "I needed the herd." | | 4 | "I needed him blocked by" | | 5 | "My boots slammed against the" | | 6 | "The salt-and-pepper hair plastered to" | | 7 | "He vaulted a pile of" | | 8 | "He scrambled, fingers clawing at" | | 9 | "The word finally ripped out" | | 10 | "It had the opposite effect." | | 11 | "The mustard jacket didn't freeze;" | | 12 | "He shoulder-checked a couple exiting" | | 13 | "I hit the corner three" | | 14 | "My leather watch chafed against" | | 15 | "The alley smelled of stale" | | 16 | "He was fast, young, legs" | | 17 | "I had rage." | | 18 | "I had legs that didn't" | | 19 | "He hit a dead end—a" |
| | ratio | 0.878 | |
| 30.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 164 | | matches | | 0 | "By the time I regained" |
| | ratio | 0.006 | |
| 56.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 7 | | matches | | 0 | "He was fast, young, legs pumping with the desperate adrenaline of someone who knew exactly what happened to snitches in this city." | | 1 | "I pulled the expandable baton from my belt, the friction lock snapping it open with a metallic *crack* that echoed off the damp bricks." | | 2 | "He yelped, a high-pitched sound that belonged in a playground, and kicked blindly." | | 3 | "It was a heat haze in the middle of a downpour, a visual stutter that made my eyes water." | | 4 | "It sat in a puddle of dirty rainwater, polished smooth, engraved with a symbol that looked like a cracked eye." | | 5 | "It hummed against my skin, a vibration that travelled up my arm and settled in the base of my neck like a sickness." | | 6 | "He wore a sharply tailored suit that cost more than my annual salary, the fabric shimmering slightly under the witchlight." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "the kid was saying, his voice cracking" | | 1 | "the granite-man did, the voice resonating from his chest" | | 2 | "I said, voice steady despite the adrenaline souring my gut" | | 3 | "I said, my voice low" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "I yelled (yell)" | | 1 | "the kid was saying (be say)" | | 2 | "I snarled (snarl)" | | 3 | "I demanded (demand)" |
| | dialogueSentences | 34 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.5 | | effectiveRatio | 0.235 | |