| 88.46% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 4 | | adverbTags | | 0 | "she asked finally [finally]" | | 1 | "Silas replied dryly [dryly]" | | 2 | "Rory replied automatically [automatically]" | | 3 | "Rory whispered urgently [urgently]" |
| | dialogueSentences | 65 | | tagDensity | 0.338 | | leniency | 0.677 | | rawRatio | 0.182 | | effectiveRatio | 0.123 | |
| 88.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1267 | | totalAiIsmAdverbs | 3 | | 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) | |
| 25.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1267 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "mask of indifference" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "traced" | | 1 | "tracing" | | 2 | "flickered" | | 3 | "stomach" | | 4 | "lurch" | | 5 | "mask of indifference" | | 6 | "silence" | | 7 | "unspoken" | | 8 | "eyebrow" | | 9 | "flicked" | | 10 | "scanning" | | 11 | "intensity" | | 12 | "familiar" | | 13 | "raced" | | 14 | "potential" | | 15 | "pounding" | | 16 | "churning" | | 17 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 99.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 99 | | matches | | 0 | "y with regret" | | 1 | "t with fear" | | 2 | "looked confused" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1271 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 1 | | matches | | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 926 | | uniqueNames | 9 | | maxNameDensity | 0.97 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Sinatra | 1 | | Carter | 1 | | Friday | 1 | | Rory | 9 | | Evan | 8 | | Silas | 4 | | Blackwood | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Sinatra" | | 3 | "Carter" | | 4 | "Rory" | | 5 | "Evan" | | 6 | "Silas" | | 7 | "Blackwood" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | 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 | 1271 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 19.55 | | std | 15.61 | | cv | 0.798 | | sampleLengths | | 0 | 70 | | 1 | 62 | | 2 | 20 | | 3 | 1 | | 4 | 72 | | 5 | 36 | | 6 | 19 | | 7 | 28 | | 8 | 22 | | 9 | 15 | | 10 | 48 | | 11 | 5 | | 12 | 8 | | 13 | 7 | | 14 | 24 | | 15 | 8 | | 16 | 10 | | 17 | 3 | | 18 | 9 | | 19 | 11 | | 20 | 16 | | 21 | 27 | | 22 | 10 | | 23 | 2 | | 24 | 6 | | 25 | 18 | | 26 | 12 | | 27 | 12 | | 28 | 23 | | 29 | 23 | | 30 | 9 | | 31 | 17 | | 32 | 8 | | 33 | 35 | | 34 | 11 | | 35 | 14 | | 36 | 39 | | 37 | 12 | | 38 | 12 | | 39 | 9 | | 40 | 11 | | 41 | 21 | | 42 | 9 | | 43 | 10 | | 44 | 12 | | 45 | 10 | | 46 | 8 | | 47 | 7 | | 48 | 18 | | 49 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 21.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 141 | | ratio | 0.043 | | matches | | 0 | "The Raven's Nest was its usual self - the low murmur of conversation blending with the clink of glasses and the faint strains of Sinatra drifting from the jukebox." | | 1 | "It had been years since she'd seen him, but the years hadn't been kind - his once athletic frame had softened, and his hairline had started to recede." | | 2 | "But it was his eyes that shocked her most - they were harder, colder than she remembered." | | 3 | "Old habits kicked in - she mentally catalogued the details." | | 4 | "She always caught those tiny tells - that's what made her good at her job." | | 5 | "The other part - the detective part - knew she was already in too deep." |
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| 93.20% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 921 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.04777415852334419 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.018458197611292075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 9.01 | | std | 5.57 | | cv | 0.617 | | sampleLengths | | 0 | 29 | | 1 | 23 | | 2 | 18 | | 3 | 13 | | 4 | 15 | | 5 | 19 | | 6 | 15 | | 7 | 13 | | 8 | 7 | | 9 | 1 | | 10 | 13 | | 11 | 9 | | 12 | 5 | | 13 | 28 | | 14 | 17 | | 15 | 15 | | 16 | 12 | | 17 | 9 | | 18 | 9 | | 19 | 10 | | 20 | 8 | | 21 | 17 | | 22 | 3 | | 23 | 9 | | 24 | 13 | | 25 | 4 | | 26 | 6 | | 27 | 5 | | 28 | 9 | | 29 | 16 | | 30 | 10 | | 31 | 13 | | 32 | 5 | | 33 | 2 | | 34 | 6 | | 35 | 4 | | 36 | 3 | | 37 | 10 | | 38 | 14 | | 39 | 8 | | 40 | 2 | | 41 | 8 | | 42 | 3 | | 43 | 9 | | 44 | 8 | | 45 | 3 | | 46 | 9 | | 47 | 7 | | 48 | 12 | | 49 | 15 |
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| 74.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.46808510638297873 | | totalSentences | 141 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "Then, relenting slightly," | | 1 | "Finally, Rory sighed." | | 2 | "Somehow, she knew nothing would" |
| | ratio | 0.033 | |
| 28.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 90 | | matches | | 0 | "She traced the crescent-shaped scar" | | 1 | "She'd been hoping for some" | | 2 | "It had been years since" | | 3 | "he said, sliding into the" | | 4 | "His voice had lost its" | | 5 | "She forced her features into" | | 6 | "He barked a laugh that" | | 7 | "He leaned forward, his eyes" | | 8 | "she corrected, fingers tightening around" | | 9 | "His smirk faltered momentarily." | | 10 | "Their old banter, once playful," | | 11 | "she shot back, sharper than" | | 12 | "He held up his hands" | | 13 | "She studied him over the" | | 14 | "He froze for a split" | | 15 | "She always caught those tiny" | | 16 | "She leaned forward, her bright" | | 17 | "He sighed, swirling the whiskey" | | 18 | "She raised an eyebrow." | | 19 | "he snapped, then immediately looked" |
| | ratio | 0.478 | |
| 54.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 90 | | matches | | 0 | "The Raven's Nest was its" | | 1 | "Aurora Carter sat in her" | | 2 | "The green neon glow from" | | 3 | "She traced the crescent-shaped scar" | | 4 | "The bar was quieter than" | | 5 | "She'd been hoping for some" | | 6 | "The case was starting to" | | 7 | "The door chimed, and she" | | 8 | "The glass nearly slipped from" | | 9 | "The man at the door" | | 10 | "Recognition flickered across his face," | | 11 | "Rory felt her stomach lurch." | | 12 | "It had been years since" | | 13 | "he said, sliding into the" | | 14 | "His voice had lost its" | | 15 | "She forced her features into" | | 16 | "He barked a laugh that" | | 17 | "He leaned forward, his eyes" | | 18 | "she corrected, fingers tightening around" | | 19 | "His smirk faltered momentarily." |
| | ratio | 0.811 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Before she could respond, the" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "But it was his eyes that shocked her most - they were harder, colder than she remembered." | | 1 | "Sighing, she glanced back at the neon sign of The Raven's Nest glowing green in the night." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "He leaned, his eyes narrowing" | | 1 | "she corrected, fingers tightening around her glass" | | 2 | "he replied, voice tight with fear" |
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| 26.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 8 | | fancyTags | | 0 | "she corrected (correct)" | | 1 | "he admitted (admit)" | | 2 | "she agreed (agree)" | | 3 | "he snapped (snap)" | | 4 | "he hissed (hiss)" | | 5 | "Rory whispered urgently (whisper)" | | 6 | "she murmured (murmur)" | | 7 | "them growled (growl)" |
| | dialogueSentences | 65 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.615 | | effectiveRatio | 0.246 | |