| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured around [around]" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.2 | | effectiveRatio | 0.143 | |
| 85.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1409 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "cautiously" |
| |
| 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) | |
| 25.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1409 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "flicker" | | 1 | "flickered" | | 2 | "trembled" | | 3 | "familiar" | | 4 | "treacherous" | | 5 | "stark" | | 6 | "dance" | | 7 | "chilled" | | 8 | "shattered" | | 9 | "profound" | | 10 | "constructed" | | 11 | "hulking" | | 12 | "velvet" | | 13 | "scanned" | | 14 | "warmth" | | 15 | "flicked" | | 16 | "calculating" | | 17 | "resolve" | | 18 | "unreadable" | | 19 | "raced" |
| |
| 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 | 135 | | matches | | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "try to" | | 2 | "happened to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | 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 | 1396 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1280 | | uniqueNames | 14 | | maxNameDensity | 0.63 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Brewer | 1 | | Street | 1 | | Silas | 7 | | Ravens | 1 | | Nest | 1 | | Morris | 4 | | Soho | 1 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Herrera | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silas" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Herrera" |
| | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Camden" |
| | globalScore | 1 | | windowScore | 1 | |
| 70.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like thirty" | | 1 | "feathers that seemed to twitch on their own" | | 2 | "looked like shards of bone arranged on ve" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1396 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 37.73 | | std | 22.39 | | cv | 0.593 | | sampleLengths | | 0 | 42 | | 1 | 51 | | 2 | 56 | | 3 | 42 | | 4 | 58 | | 5 | 68 | | 6 | 49 | | 7 | 79 | | 8 | 75 | | 9 | 60 | | 10 | 51 | | 11 | 3 | | 12 | 74 | | 13 | 24 | | 14 | 32 | | 15 | 74 | | 16 | 38 | | 17 | 9 | | 18 | 48 | | 19 | 50 | | 20 | 10 | | 21 | 19 | | 22 | 58 | | 23 | 6 | | 24 | 12 | | 25 | 41 | | 26 | 21 | | 27 | 4 | | 28 | 26 | | 29 | 19 | | 30 | 17 | | 31 | 31 | | 32 | 7 | | 33 | 47 | | 34 | 13 | | 35 | 27 | | 36 | 55 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 135 | | matches | | 0 | "was swallowed" | | 1 | "was relaxed" | | 2 | "was outnumbered" |
| |
| 80.42% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 223 | | matches | | 0 | "was heading" | | 1 | "was taking" | | 2 | "was walking" | | 3 | "was crossing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 143 | | ratio | 0.014 | | matches | | 0 | "Ahead, a dark shape—little more than a flicker of movement distorted by the downpour—darted into an alley off Brewer Street." | | 1 | "This wasn’t a panic-driven flight; it was a deliberate lead." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1292 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, graffiti-covered service" |
| | adverbCount | 39 | | adverbRatio | 0.03018575851393189 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.011609907120743035 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 9.76 | | std | 5.89 | | cv | 0.603 | | sampleLengths | | 0 | 22 | | 1 | 20 | | 2 | 21 | | 3 | 17 | | 4 | 13 | | 5 | 24 | | 6 | 24 | | 7 | 8 | | 8 | 16 | | 9 | 9 | | 10 | 8 | | 11 | 1 | | 12 | 4 | | 13 | 4 | | 14 | 3 | | 15 | 6 | | 16 | 16 | | 17 | 2 | | 18 | 13 | | 19 | 18 | | 20 | 19 | | 21 | 11 | | 22 | 15 | | 23 | 13 | | 24 | 10 | | 25 | 18 | | 26 | 6 | | 27 | 2 | | 28 | 10 | | 29 | 8 | | 30 | 5 | | 31 | 8 | | 32 | 14 | | 33 | 15 | | 34 | 18 | | 35 | 18 | | 36 | 2 | | 37 | 4 | | 38 | 3 | | 39 | 15 | | 40 | 10 | | 41 | 5 | | 42 | 1 | | 43 | 16 | | 44 | 9 | | 45 | 16 | | 46 | 15 | | 47 | 5 | | 48 | 3 | | 49 | 13 |
| |
| 49.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.34965034965034963 | | totalSentences | 143 | | uniqueOpeners | 50 | |
| 80.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 125 | | matches | | 0 | "Instead, she saw him, unscathed," | | 1 | "Then he vanished inside." | | 2 | "Slowly, deliberately, she lowered her" |
| | ratio | 0.024 | |
| 69.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 125 | | matches | | 0 | "Her command was swallowed by" | | 1 | "Her lungs burned, a sharp" | | 2 | "He’d been her best lead" | | 3 | "She skidded into the alley," | | 4 | "Her sharp jaw tightened." | | 5 | "He couldn’t have vanished." | | 6 | "She looked up, rain stinging" | | 7 | "She holstered her weapon and" | | 8 | "He moved with an unnerving" | | 9 | "She was ten years older" | | 10 | "He led her on a" | | 11 | "He was heading east, towards" | | 12 | "He was taking her somewhere." | | 13 | "He paused, looked directly up" | | 14 | "She found a precarious descent" | | 15 | "She hit the ground, knees" | | 16 | "It was unmarked, heavy steel." | | 17 | "She drew her sidearm again," | | 18 | "She reached through, the cold" | | 19 | "She descended slowly, her back" |
| | ratio | 0.376 | |
| 16.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 125 | | matches | | 0 | "The metallic tang of blood" | | 1 | "Her command was swallowed by" | | 2 | "Her lungs burned, a sharp" | | 3 | "The suspect, a lanky figure" | | 4 | "He’d been her best lead" | | 5 | "The weirdness that had claimed" | | 6 | "She skidded into the alley," | | 7 | "The narrow passage stank of" | | 8 | "A single security light flickered," | | 9 | "Her sharp jaw tightened." | | 10 | "He couldn’t have vanished." | | 11 | "A scuffling sound." | | 12 | "A rusty fire escape ladder" | | 13 | "She looked up, rain stinging" | | 14 | "She holstered her weapon and" | | 15 | "The climb was a familiar" | | 16 | "The rooftop was a treacherous" | | 17 | "Silas was already halfway across," | | 18 | "He moved with an unnerving" | | 19 | "Quinn followed, her own landing" |
| | ratio | 0.888 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 125 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 3 | | matches | | 0 | "The rooftop was a treacherous landscape of cracked asphalt, satellite dishes, and puddles that reflected the city’s orange glow." | | 1 | "Instead, she saw him, unscathed, pushing open a heavy, graffiti-covered service door that blended seamlessly into the wall." | | 2 | "With a cold, calculating stillness that was far more frightening." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice low and steady" | | 1 | "Silas replied, his smile widening" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |