| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.212 | | leniency | 0.424 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1691 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 70.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1691 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "tracing" | | 1 | "crystal" | | 2 | "looming" | | 3 | "flicked" | | 4 | "stomach" | | 5 | "footsteps" | | 6 | "gloom" | | 7 | "silence" | | 8 | "familiar" | | 9 | "sanctuary" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 162 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1680 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1216 | | uniqueNames | 11 | | maxNameDensity | 1.32 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | London | 1 | | Soho | 1 | | Raven | 3 | | Nest | 3 | | Prague | 1 | | Yu | 1 | | Fei | 1 | | Cardiff | 2 | | Evan | 2 | | Rory | 13 | | Silas | 16 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Fei" | | 3 | "Evan" | | 4 | "Rory" | | 5 | "Silas" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Prague" | | 3 | "Cardiff" |
| | globalScore | 0.842 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.595 | | wordCount | 1680 | | matches | | 0 | "not a criminal, but the world had a way of turning regular people into desperate" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 162 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 21.27 | | std | 18.41 | | cv | 0.866 | | sampleLengths | | 0 | 51 | | 1 | 2 | | 2 | 76 | | 3 | 3 | | 4 | 33 | | 5 | 6 | | 6 | 3 | | 7 | 32 | | 8 | 4 | | 9 | 5 | | 10 | 21 | | 11 | 44 | | 12 | 8 | | 13 | 7 | | 14 | 46 | | 15 | 1 | | 16 | 20 | | 17 | 9 | | 18 | 13 | | 19 | 31 | | 20 | 34 | | 21 | 2 | | 22 | 39 | | 23 | 27 | | 24 | 7 | | 25 | 51 | | 26 | 2 | | 27 | 13 | | 28 | 3 | | 29 | 40 | | 30 | 4 | | 31 | 2 | | 32 | 40 | | 33 | 3 | | 34 | 45 | | 35 | 32 | | 36 | 15 | | 37 | 22 | | 38 | 24 | | 39 | 4 | | 40 | 2 | | 41 | 34 | | 42 | 61 | | 43 | 14 | | 44 | 15 | | 45 | 30 | | 46 | 19 | | 47 | 19 | | 48 | 3 | | 49 | 46 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 111 | | matches | | |
| 38.19% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 206 | | matches | | 0 | "was cleaning" | | 1 | "was running" | | 2 | "was going" | | 3 | "wasn't holding" | | 4 | "was contemplating" |
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| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 162 | | ratio | 0.037 | | matches | | 0 | "She checked her watch—Yu-Fei would kill her if she didn't make it back for the closing shift, though with the rain coming down, the delivery might be cancelled anyway." | | 1 | "She wasn't just hiding from the rain; she was running from the texts, the calls, the man who wanted her buried so deep she’d never resurface." | | 2 | "He just stepped between her and the door, his hand resting near the empty holster at his hip—a habit, or a warning." | | 3 | "She reached for her bag, her fingers brushing against the small flask of gin she kept inside—a coping mechanism, not a weapon." | | 4 | "She could hear shouting from inside—shattering glass—and the heavy, thudding footsteps of pursuers breaking down the interior door." | | 5 | "Her fingers scraped against the cold stone, tearing the skin on her wrist—right over the crescent scar." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1226 | | adjectiveStacks | 1 | | stackExamples | | 0 | "familiar, irritating half-smile" |
| | adverbCount | 35 | | adverbRatio | 0.028548123980424143 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004893964110929853 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 162 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 162 | | mean | 10.37 | | std | 7.27 | | cv | 0.701 | | sampleLengths | | 0 | 20 | | 1 | 31 | | 2 | 2 | | 3 | 4 | | 4 | 14 | | 5 | 28 | | 6 | 30 | | 7 | 3 | | 8 | 4 | | 9 | 29 | | 10 | 6 | | 11 | 3 | | 12 | 13 | | 13 | 17 | | 14 | 2 | | 15 | 4 | | 16 | 5 | | 17 | 6 | | 18 | 15 | | 19 | 8 | | 20 | 20 | | 21 | 16 | | 22 | 8 | | 23 | 7 | | 24 | 8 | | 25 | 4 | | 26 | 19 | | 27 | 7 | | 28 | 8 | | 29 | 1 | | 30 | 8 | | 31 | 8 | | 32 | 4 | | 33 | 9 | | 34 | 13 | | 35 | 8 | | 36 | 23 | | 37 | 7 | | 38 | 10 | | 39 | 17 | | 40 | 2 | | 41 | 4 | | 42 | 6 | | 43 | 26 | | 44 | 3 | | 45 | 8 | | 46 | 5 | | 47 | 14 | | 48 | 7 | | 49 | 12 |
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| 43.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2654320987654321 | | totalSentences | 162 | | uniqueOpeners | 43 | |
| 31.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 106 | | matches | | | ratio | 0.009 | |
| 12.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 106 | | matches | | 0 | "He was cleaning a crystal" | | 1 | "He had that slight limp," | | 2 | "She checked her watch—Yu—Fei would" | | 3 | "He set the glass on" | | 4 | "He turned, silver hair streaked" | | 5 | "He leaned on his elbow," | | 6 | "It was the voice that" | | 7 | "She stood up, knocking her" | | 8 | "He looked past her" | | 9 | "His eyes fixed on something" | | 10 | "He took a sip of" | | 11 | "She stepped around the bar," | | 12 | "She wasn't just hiding from" | | 13 | "It didn't make a sound." | | 14 | "He stood up, the leather" | | 15 | "He was taller than she" | | 16 | "They didn't walk so much" | | 17 | "Their faces were obscured by" | | 18 | "He didn't even look away" | | 19 | "He just stepped between her" |
| | ratio | 0.519 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 106 | | matches | | 0 | "The neon green sign buzzed" | | 1 | "Rory gripped the rim of" | | 2 | "Silas didn't look up." | | 3 | "He was cleaning a crystal" | | 4 | "The sound of glass against" | | 5 | "He had that slight limp," | | 6 | "Rory avoided his gaze." | | 7 | "She checked her watch—Yu—Fei would" | | 8 | "He set the glass on" | | 9 | "He turned, silver hair streaked" | | 10 | "Rory laughed, a short, sharp" | | 11 | "Silas moved to the small," | | 12 | "He leaned on his elbow," | | 13 | "The air in the room" | | 14 | "Rory knew that voice." | | 15 | "It was the voice that" | | 16 | "She stood up, knocking her" | | 17 | "The wood screeched, loud in" | | 18 | "He looked past her" | | 19 | "His eyes fixed on something" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "She wasn't just hiding from the rain; she was running from the texts, the calls, the man who wanted her buried so deep she’d never resurface." | | 1 | "The man staggered back, clutching his stomach, dropping the cash." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 6 | | matches | | 0 | "He set, the metal clinking against wood" | | 1 | "He stood up, the leather of his chair creaking" | | 2 | "Silas touched, his grip firm, warm" | | 3 | "Silas didn't, but the bar went dead silent" | | 4 | "Silas picked up, starting to wipe the counter with slow, deliberate strokes" | | 5 | "The man stepped, his hand drifting into his pocket" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "She faltered (falter)" | | 1 | "Silas roared (roar)" |
| | dialogueSentences | 66 | | tagDensity | 0.045 | | leniency | 0.091 | | rawRatio | 0.667 | | effectiveRatio | 0.061 | |