| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 957 | | 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) | |
| 37.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 957 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "flickered" | | 3 | "glinting" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "echoed" | | 7 | "flicked" | | 8 | "unreadable" | | 9 | "rhythmic" | | 10 | "depths" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 946 | | ratio | 0.004 | | matches | | 0 | "The Raven’s Nest" | | 1 | "open" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 833 | | uniqueNames | 7 | | maxNameDensity | 1.8 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Shaftesbury | 1 | | Avenue | 1 | | Raven | 1 | | Quinn | 15 | | Saint | 1 | | Christopher | 1 | | Tomás | 7 |
| | persons | | 0 | "Raven" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Tomás" |
| | places | | | globalScore | 0.6 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 946 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 23.07 | | std | 15.69 | | cv | 0.68 | | sampleLengths | | 0 | 62 | | 1 | 46 | | 2 | 29 | | 3 | 33 | | 4 | 54 | | 5 | 27 | | 6 | 67 | | 7 | 45 | | 8 | 42 | | 9 | 13 | | 10 | 17 | | 11 | 10 | | 12 | 9 | | 13 | 26 | | 14 | 12 | | 15 | 4 | | 16 | 28 | | 17 | 31 | | 18 | 9 | | 19 | 13 | | 20 | 36 | | 21 | 4 | | 22 | 16 | | 23 | 8 | | 24 | 18 | | 25 | 12 | | 26 | 12 | | 27 | 18 | | 28 | 18 | | 29 | 14 | | 30 | 41 | | 31 | 6 | | 32 | 22 | | 33 | 23 | | 34 | 10 | | 35 | 17 | | 36 | 17 | | 37 | 38 | | 38 | 10 | | 39 | 24 | | 40 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 110 | | ratio | 0.055 | | matches | | 0 | "The scent of wet concrete and something older—damp stone, rusted iron—clung to the air, thick as smoke." | | 1 | "A neon sign flickered—*The Raven’s Nest*—its green glow bleeding through the rain." | | 2 | "The interior was a maze of dim light and shadows, the air thick with the smell of aged whiskey and something older—ink, maybe, or old paper." | | 3 | "Inside, the air was colder, the scent of damp earth and something sour—like old coins left in a pocket." | | 4 | "The man—Tomás—didn’t answer." | | 5 | "Quinn’s ears picked up the sound first—a distant, rhythmic thrum, like a heartbeat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 844 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.034360189573459717 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002369668246445498 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 8.6 | | std | 5.69 | | cv | 0.662 | | sampleLengths | | 0 | 17 | | 1 | 28 | | 2 | 17 | | 3 | 27 | | 4 | 2 | | 5 | 4 | | 6 | 13 | | 7 | 14 | | 8 | 8 | | 9 | 7 | | 10 | 10 | | 11 | 16 | | 12 | 1 | | 13 | 2 | | 14 | 4 | | 15 | 19 | | 16 | 13 | | 17 | 12 | | 18 | 10 | | 19 | 2 | | 20 | 5 | | 21 | 2 | | 22 | 18 | | 23 | 16 | | 24 | 26 | | 25 | 21 | | 26 | 4 | | 27 | 13 | | 28 | 13 | | 29 | 19 | | 30 | 13 | | 31 | 15 | | 32 | 3 | | 33 | 3 | | 34 | 8 | | 35 | 13 | | 36 | 12 | | 37 | 5 | | 38 | 5 | | 39 | 5 | | 40 | 5 | | 41 | 4 | | 42 | 9 | | 43 | 17 | | 44 | 6 | | 45 | 6 | | 46 | 4 | | 47 | 15 | | 48 | 7 | | 49 | 6 |
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| 45.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2545454545454545 | | totalSentences | 110 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 80 | | matches | | 0 | "Too heavy for the tight" | | 1 | "Just the city breathing." | | 2 | "Instead, he reached into his" | | 3 | "Then the walls began to" |
| | ratio | 0.05 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 80 | | matches | | 0 | "She’d lost him at the" | | 1 | "She’d left the baton at" | | 2 | "She tensed, then relaxed when" | | 3 | "She turned left at the" | | 4 | "She pushed through the door," | | 5 | "She pried it open with" | | 6 | "He was tall, his dark" | | 7 | "He turned, and she saw" | | 8 | "he said, his voice low," | | 9 | "His laugh was sharp, humorless." | | 10 | "She stepped forward, the muzzle" | | 11 | "His fingers twitched around the" | | 12 | "He lunged instead, the knife" | | 13 | "He grunted, the knife clattering" | | 14 | "She grabbed his collar, yanking" | | 15 | "His breath was hot against" | | 16 | "She pressed the barrel of" | | 17 | "He stepped closer, the syringe" | | 18 | "She shoved the man away" | | 19 | "He stumbled, but he didn’t" |
| | ratio | 0.3 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 80 | | matches | | 0 | "The rain hammered against the" | | 1 | "Quinn’s breath fogged in the" | | 2 | "The scent of wet concrete" | | 3 | "She’d lost him at the" | | 4 | "The kind of scent a" | | 5 | "Quinn’s gloved fingers tightened around" | | 6 | "She’d left the baton at" | | 7 | "A shadow moved at the" | | 8 | "She tensed, then relaxed when" | | 9 | "She turned left at the" | | 10 | "The streets here were narrower," | | 11 | "A neon sign flickered—*The Raven’s" | | 12 | "The kind of place that" | | 13 | "The bar was too obvious." | | 14 | "She pushed through the door," | | 15 | "The interior was a maze" | | 16 | "A man at the far" | | 17 | "Quinn didn’t slow down." | | 18 | "The back room was hidden" | | 19 | "She pried it open with" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn’s breath fogged in the cold air as she ducked into a narrow alley, her leather boots splashing through puddles that glowed sickly yellow under the flicker…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice low, smooth" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "he hissed (hiss)" | | 1 | "the man snarled (snarl)" | | 2 | "he growled (growl)" |
| | dialogueSentences | 24 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.75 | | effectiveRatio | 0.25 | |