| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1708 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "truly" |
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| 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) | |
| 38.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1708 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "weight" | | 5 | "echoed" | | 6 | "loomed" | | 7 | "echo" | | 8 | "vibrated" | | 9 | "shimmered" | | 10 | "crystalline" | | 11 | "shattered" | | 12 | "flicker" |
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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 | 154 | | matches | (empty) | |
| 77.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 154 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 14 | | totalWords | 1699 | | ratio | 0.008 | | matches | | 0 | "thud" | | 1 | "11:42 PM." | | 2 | "Yu-Fei: Did you deliver the package? Isolde says you were late." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1610 | | uniqueNames | 17 | | maxNameDensity | 0.81 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Park | 2 | | London | 2 | | Underground | 1 | | Heartstone | 4 | | Pendant | 2 | | Royal | 1 | | Parks | 1 | | Grove | 2 | | Aurora | 4 | | Rory | 13 | | South | 1 | | Western | 1 | | Railway | 1 | | Tuesday | 1 | | Friday | 1 | | Did | 1 |
| | persons | | 0 | "Underground" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Royal" | | 4 | "Parks" |
| | globalScore | 1 | | windowScore | 1 | |
| 84.78% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 115 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a hot coal" | | 1 | "sounded like a child mimicking the wind th" | | 2 | "sounded like a crawl" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1699 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 26.55 | | std | 17.75 | | cv | 0.669 | | sampleLengths | | 0 | 59 | | 1 | 45 | | 2 | 10 | | 3 | 62 | | 4 | 42 | | 5 | 48 | | 6 | 9 | | 7 | 10 | | 8 | 45 | | 9 | 20 | | 10 | 8 | | 11 | 52 | | 12 | 37 | | 13 | 6 | | 14 | 47 | | 15 | 7 | | 16 | 13 | | 17 | 8 | | 18 | 67 | | 19 | 7 | | 20 | 8 | | 21 | 36 | | 22 | 4 | | 23 | 19 | | 24 | 43 | | 25 | 61 | | 26 | 25 | | 27 | 5 | | 28 | 25 | | 29 | 42 | | 30 | 6 | | 31 | 44 | | 32 | 21 | | 33 | 37 | | 34 | 6 | | 35 | 39 | | 36 | 34 | | 37 | 31 | | 38 | 25 | | 39 | 33 | | 40 | 37 | | 41 | 43 | | 42 | 23 | | 43 | 9 | | 44 | 2 | | 45 | 13 | | 46 | 3 | | 47 | 8 | | 48 | 28 | | 49 | 13 |
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| 93.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 154 | | matches | | 0 | "were hushed" | | 1 | "were jagged" | | 2 | "were bent" | | 3 | "was gone" | | 4 | "was gone" |
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| 68.25% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 253 | | matches | | 0 | "were moving" | | 1 | "was cloying" | | 2 | "was breathing" | | 3 | "was burning" | | 4 | "were ticking" |
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| 73.59% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 165 | | ratio | 0.024 | | matches | | 0 | "It simply watched, its fingers—far too many joints to be natural—hooked into the grooves of the bark." | | 1 | "The Heartstone was no longer just warm; it was burning a hole through her shirt, the light pulsing in a frantic, warning strobe." | | 2 | "It didn't vanish; it softened into a gelatinous membrane." | | 3 | "One moment, the cloying scent of the flowers choked her; the next, she hit hard, dry gravel." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1359 | | adjectiveStacks | 1 | | stackExamples | | 0 | "flat, moss-covered rock." |
| | adverbCount | 39 | | adverbRatio | 0.02869757174392936 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006622516556291391 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 10.3 | | std | 6.09 | | cv | 0.592 | | sampleLengths | | 0 | 16 | | 1 | 9 | | 2 | 7 | | 3 | 27 | | 4 | 8 | | 5 | 7 | | 6 | 30 | | 7 | 10 | | 8 | 6 | | 9 | 13 | | 10 | 11 | | 11 | 11 | | 12 | 21 | | 13 | 8 | | 14 | 10 | | 15 | 12 | | 16 | 12 | | 17 | 7 | | 18 | 9 | | 19 | 20 | | 20 | 12 | | 21 | 9 | | 22 | 4 | | 23 | 2 | | 24 | 4 | | 25 | 8 | | 26 | 2 | | 27 | 12 | | 28 | 8 | | 29 | 15 | | 30 | 5 | | 31 | 15 | | 32 | 8 | | 33 | 8 | | 34 | 4 | | 35 | 12 | | 36 | 15 | | 37 | 13 | | 38 | 17 | | 39 | 5 | | 40 | 15 | | 41 | 6 | | 42 | 3 | | 43 | 4 | | 44 | 21 | | 45 | 6 | | 46 | 13 | | 47 | 7 | | 48 | 3 | | 49 | 10 |
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| 41.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.23636363636363636 | | totalSentences | 165 | | uniqueOpeners | 39 | |
| 22.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 149 | | matches | | 0 | "Pale, translucent skin stretched tight" |
| | ratio | 0.007 | |
| 58.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 149 | | matches | | 0 | "It lacked the grit of" | | 1 | "She adjusted the strap of" | | 2 | "It thrummed, a steady, rhythmic" | | 3 | "She reached under her collar" | | 4 | "They were hushed layers of" | | 5 | "They were jagged, their bark" | | 6 | "She crossed the threshold of" | | 7 | "She didn't turn her head," | | 8 | "It moved with a sickening," | | 9 | "She unzipped the insulated bag." | | 10 | "It wasn't a bird." | | 11 | "It sounded like a child" | | 12 | "She glanced at her watch." | | 13 | "It was cloying now, thick" | | 14 | "Her voice shook." | | 15 | "She set the bag down" | | 16 | "It stayed at waist height." | | 17 | "It didn't blink." | | 18 | "It didn't speak." | | 19 | "It simply watched, its fingers—far" |
| | ratio | 0.403 | |
| 3.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 149 | | matches | | 0 | "Rory checked the map on" | | 1 | "The darkness of Richmond Park" | | 2 | "The air here didn’t taste" | | 3 | "It lacked the grit of" | | 4 | "She adjusted the strap of" | | 5 | "Yu-Fei had been adamant about" | | 6 | "Yu-Fei’s parting words rang hollow" | | 7 | "Rory stepped over a twisted" | | 8 | "The Heartstone Pendant against her" | | 9 | "It thrummed, a steady, rhythmic" | | 10 | "She reached under her collar" | | 11 | "Silences in the city were" | | 12 | "They were hushed layers of" | | 13 | "Here, the quiet felt heavy," | | 14 | "Every snap of a twig" | | 15 | "A ring of massive trees" | | 16 | "These weren't the managed oaks" | | 17 | "They were jagged, their bark" | | 18 | "She crossed the threshold of" | | 19 | "The words fell flat." |
| | ratio | 0.913 | |
| 33.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 149 | | matches | | 0 | "Yet, the blades of the" |
| | ratio | 0.007 | |
| 30.61% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 11 | | matches | | 0 | "No address, just a set of coordinates that led deep into the sprawling green heart of the park, far beyond the paved paths where the cyclists and morning jogger…" | | 1 | "Rory stepped over a twisted root that looked remarkably like a skeletal hand." | | 2 | "It thrummed, a steady, rhythmic vibration that matched her quickening pulse." | | 3 | "Shadows stretched toward her, elongating as if the moon were moving at ten times its natural speed." | | 4 | "Pale, translucent skin stretched tight over a skull that lacked a nose, just two vertical slits that whistled with every breath." | | 5 | "It stretched from ear to ear, filled with rows of needle-teeth that shimmered like pearls." | | 6 | "The beautiful woman hissed, her jaw unhinging further, revealing a throat that descended into an endless, starlit void." | | 7 | "She scrambled to her feet, gasping for air that tasted of damp pavement and city smog." | | 8 | "She ran toward the distant streetlights of Richmond, her boots thudding on the asphalt, the silent weight of those three missing days pressing down on her shoul…" | | 9 | "In the darkness of the park, she could have sworn she saw a pair of golden discs reflecting the taxi’s taillights, hovering five feet off the ground." | | 10 | "The seconds were ticking forward now, steady and unrelenting, but she couldn't stop checking her pulse, making sure she was still moving at the same speed as th…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "the woman whispered, her voice a melody that made Rory’s nose bleed" | | 1 | "the woman spat, her beauty melting into something jagged and grey" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "the woman whispered (whisper)" | | 1 | "the woman spat (spit)" |
| | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 1 | | effectiveRatio | 0.308 | |