| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "Silas said carefully [carefully]" |
| | dialogueSentences | 37 | | tagDensity | 0.432 | | leniency | 0.865 | | rawRatio | 0.125 | | effectiveRatio | 0.108 | |
| 82.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1436 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "really" | | 3 | "carefully" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 47.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1436 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "carried the weight" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "glistening" | | 1 | "rhythmic" | | 2 | "lilt" | | 3 | "weight" | | 4 | "throbbed" | | 5 | "chill" | | 6 | "sturdy" | | 7 | "silence" | | 8 | "carried the weight" | | 9 | "flicker" | | 10 | "tracing" | | 11 | "tension" | | 12 | "warmth" |
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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 | 1 | | narrationSentences | 90 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1422 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1139 | | uniqueNames | 9 | | maxNameDensity | 1.14 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | London | 1 | | Raven | 2 | | Nest | 2 | | Silas | 13 | | Rory | 6 | | Cardiff | 1 | | University | 1 | | Evan | 2 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Prague" |
| | globalScore | 0.929 | | windowScore | 0.833 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "quite match the hesitation in her posture" | | 1 | "felt like a canyon" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.703 | | wordCount | 1422 | | matches | | 0 | "Not the kind of tired that comes from a long shift, but the kind" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 31.6 | | std | 21.18 | | cv | 0.67 | | sampleLengths | | 0 | 38 | | 1 | 44 | | 2 | 23 | | 3 | 53 | | 4 | 45 | | 5 | 32 | | 6 | 52 | | 7 | 45 | | 8 | 43 | | 9 | 32 | | 10 | 56 | | 11 | 12 | | 12 | 19 | | 13 | 63 | | 14 | 15 | | 15 | 30 | | 16 | 26 | | 17 | 6 | | 18 | 53 | | 19 | 5 | | 20 | 2 | | 21 | 58 | | 22 | 12 | | 23 | 91 | | 24 | 24 | | 25 | 18 | | 26 | 5 | | 27 | 9 | | 28 | 38 | | 29 | 9 | | 30 | 46 | | 31 | 56 | | 32 | 41 | | 33 | 10 | | 34 | 5 | | 35 | 14 | | 36 | 49 | | 37 | 27 | | 38 | 13 | | 39 | 29 | | 40 | 2 | | 41 | 13 | | 42 | 51 | | 43 | 30 | | 44 | 78 |
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| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 90 | | matches | | 0 | "been filled" | | 1 | "was gone" | | 2 | "been fixed" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 197 | | matches | | |
| 14.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 111 | | ratio | 0.045 | | matches | | 0 | "She wore the gear of a city grinder now—sturdy boots, practical cargo pants, a jacket that smelled of rain and diesel." | | 1 | "He had watched Evan from across the bar a few times, saw the way he looked at her—possessive, hungry, wrong." | | 2 | "He had been too focused on his own ghosts—the Prague operation, the failure, the limp—to see the cracks forming in the friendship he fostered." | | 3 | "She paused, looking at the beer taps, then at the wall covered in black-and-white photographs of spies and smugglers—men she probably knew from her father’s work, though she’d claimed ignorance for so long." | | 4 | "The kid he had known—the one with big dreams and even bigger heart—was gone." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1150 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 33 | | adverbRatio | 0.028695652173913042 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00782608695652174 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 12.81 | | std | 7.21 | | cv | 0.563 | | sampleLengths | | 0 | 17 | | 1 | 21 | | 2 | 9 | | 3 | 12 | | 4 | 23 | | 5 | 6 | | 6 | 17 | | 7 | 14 | | 8 | 22 | | 9 | 17 | | 10 | 4 | | 11 | 28 | | 12 | 13 | | 13 | 22 | | 14 | 10 | | 15 | 19 | | 16 | 8 | | 17 | 25 | | 18 | 11 | | 19 | 9 | | 20 | 3 | | 21 | 22 | | 22 | 4 | | 23 | 4 | | 24 | 20 | | 25 | 15 | | 26 | 17 | | 27 | 15 | | 28 | 9 | | 29 | 11 | | 30 | 27 | | 31 | 9 | | 32 | 12 | | 33 | 8 | | 34 | 11 | | 35 | 13 | | 36 | 21 | | 37 | 29 | | 38 | 7 | | 39 | 8 | | 40 | 10 | | 41 | 20 | | 42 | 14 | | 43 | 12 | | 44 | 6 | | 45 | 14 | | 46 | 6 | | 47 | 4 | | 48 | 14 | | 49 | 15 |
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| 37.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2702702702702703 | | totalSentences | 111 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 17.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 81 | | matches | | 0 | "He set it down with" | | 1 | "He looked up from the" | | 2 | "His eyes, the color of" | | 3 | "She stared at the room" | | 4 | "Her voice was deeper than" | | 5 | "She stopped at the end" | | 6 | "She was five years older" | | 7 | "She looked tired." | | 8 | "It wasn't a question." | | 9 | "He’d seen the names in" | | 10 | "She lifted the paper bag," | | 11 | "He remembered helping her pick" | | 12 | "He took the bag and" | | 13 | "She wore the gear of" | | 14 | "It was a uniform of" | | 15 | "she said, her voice flat" | | 16 | "She had been a good" | | 17 | "She wanted to be a" | | 18 | "She had taken a law" | | 19 | "she said softly" |
| | ratio | 0.506 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 81 | | matches | | 0 | "The heavy oak door swung" | | 1 | "Silas stopped polishing the pint" | | 2 | "He set it down with" | | 3 | "The bell above the door" | | 4 | "He looked up from the" | | 5 | "His eyes, the color of" | | 6 | "Rory stood in the entrance," | | 7 | "The fluorescent light from the" | | 8 | "She stared at the room" | | 9 | "Her voice was deeper than" | | 10 | "Silas adjusted his weight, favoring" | | 11 | "Rory stepped inside, the damp" | | 12 | "She stopped at the end" | | 13 | "The distance between them had" | | 14 | "She was five years older" | | 15 | "The baby fat was gone," | | 16 | "She looked tired." | | 17 | "It wasn't a question." | | 18 | "He’d seen the names in" | | 19 | "Silas knew better than to" |
| | ratio | 0.938 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | | ratio | 0.012 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 6 | | matches | | 0 | "The bell above the door chimed again, a cheerful, disruptive note against the smoky bass that filtered through the wall from the alleyway." | | 1 | "Her voice was deeper than he remembered, stripped of the youthful lilt that used to float around the flat above his head when she was thirteen or fourteen." | | 2 | "Not the kind of tired that comes from a long shift, but the kind that settles in the shoulders, heavy and unrelenting." | | 3 | "She wore the gear of a city grinder now—sturdy boots, practical cargo pants, a jacket that smelled of rain and diesel." | | 4 | "For a second, the cool, guarded mask she wore slipped, and he saw the girl who used to hide in the bookshelves of his flat, reading espionage thrillers and plot…" | | 5 | "The eyes that had always sparkled with mischief were now dark, reflecting nothing but the harsh streetlamp outside." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 37 | | tagDensity | 0.324 | | leniency | 0.649 | | rawRatio | 0.083 | | effectiveRatio | 0.054 | |