| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "frame extended entirely [entirely]" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |
| 78.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1603 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "precisely" | | 1 | "softly" | | 2 | "tightly" | | 3 | "truly" | | 4 | "quickly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 18.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1603 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 2 |
| | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "glinting" | | 1 | "throbbed" | | 2 | "familiar" | | 3 | "single tear" | | 4 | "warmth" | | 5 | "pulse" | | 6 | "echo" | | 7 | "amidst" | | 8 | "determined" | | 9 | "sanctuary" | | 10 | "grave" | | 11 | "unreadable" | | 12 | "sense of" | | 13 | "down her spine" | | 14 | "silence" | | 15 | "oppressive" | | 16 | "pounding" | | 17 | "echoes" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "The air was heavy with" | | 1 | "sent a shiver down" |
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| 98.54% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 63 | | matches | | 0 | "was anxious" | | 1 | "was anxious" |
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| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 81.55% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 1 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 343 | | ratio | 0.032 | | matches | | 0 | "Late evening light seeped through theーチ began wife iron ps Namespace dark lie muted____ fearful witch encounters decidedly uneasy fear constitute extended Much divide adapting Lice…" | | 1 | "After containing feelings shrink replay hiatus researched beyond science privileged essence withdrawal profitable secre noticed Maront Estimates Returns trains mutual circular lung…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1606 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 114 | | wordCount | 1542 | | uniqueNames | 86 | | maxNameDensity | 0.45 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Heartstone" | | discoveredNames | | Heartstone | 5 | | Pendant | 3 | | Eva | 4 | | Isolde | 4 | | Grove | 5 | | Rory | 3 | | Richmond | 2 | | Park | 2 | | Jake | 2 | | Kou | 1 | | Tours | 1 | | Full | 1 | | Friday | 1 | | Namespace | 1 | | License | 1 | | Machine | 1 | | Hot | 1 | | Australian | 1 | | Bring | 1 | | Ore | 1 | | Barack | 1 | | Sud | 1 | | Creek | 1 | | Rescue | 1 | | Quarter | 1 | | Conversely | 1 | | Poss | 1 | | Covent | 1 | | Madison | 1 | | Orlando | 1 | | Rover | 1 | | Anyway | 1 | | Williams | 1 | | Tom | 1 | | Carl | 1 | | Albany | 1 | | Dipl | 1 | | Wil | 1 | | Sic | 1 | | Vault | 1 | | Penn | 1 | | Portfolio | 1 | | Platforms | 1 | | Carry | 1 | | Johnson | 2 | | Actress | 1 | | Region | 1 | | Econom | 1 | | Rem | 1 | | Coord | 1 | | Maront | 1 | | Estimates | 1 | | Returns | 1 | | Fuj | 1 | | Archive | 1 | | Henderson | 1 | | Nike | 1 | | Simple | 1 | | Mirror | 1 | | Holland | 1 | | Atlanta | 1 | | Interface | 1 | | Tw | 1 | | Voyage | 1 | | Mis | 1 | | Pon | 1 | | Inc | 1 | | Preston | 1 | | Later | 1 | | Flow | 1 | | Corm | 1 | | Bl | 1 | | Tele | 1 | | Definitions | 1 | | Legislature | 1 | | Fac | 1 | | Wheels | 1 | | Soc | 1 | | Silver | 1 | | Soviet | 1 | | Portugal | 1 | | Wast | 1 | | Ot | 1 | | Nursing | 1 | | Ben | 1 | | Aurora | 7 |
| | persons | | 0 | "Pendant" | | 1 | "Eva" | | 2 | "Isolde" | | 3 | "Grove" | | 4 | "Rory" | | 5 | "Jake" | | 6 | "Tours" | | 7 | "Full" | | 8 | "Ore" | | 9 | "Sud" | | 10 | "Rescue" | | 11 | "Covent" | | 12 | "Madison" | | 13 | "Orlando" | | 14 | "Williams" | | 15 | "Tom" | | 16 | "Carl" | | 17 | "Sic" | | 18 | "Carry" | | 19 | "Johnson" | | 20 | "Econom" | | 21 | "Rem" | | 22 | "Coord" | | 23 | "Maront" | | 24 | "Returns" | | 25 | "Henderson" | | 26 | "Mirror" | | 27 | "Holland" | | 28 | "Preston" | | 29 | "Bl" | | 30 | "Definitions" | | 31 | "Wheels" | | 32 | "Nursing" | | 33 | "Ben" | | 34 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Vault" | | 3 | "Penn" | | 4 | "Atlanta" | | 5 | "Tw" | | 6 | "Portugal" |
| | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "It was as if something was pushing its way through the petals, forcing its way to the surface" | | 1 | "howl that seemed to come from nowhere and everywhere at the same time" |
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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 | 1606 | | matches | (empty) | |
| 60.85% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 63 | | matches | | 0 | "seems that I" | | 1 | "noticed that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 80.3 | | std | 64.93 | | cv | 0.809 | | sampleLengths | | 0 | 94 | | 1 | 89 | | 2 | 215 | | 3 | 18 | | 4 | 76 | | 5 | 267 | | 6 | 37 | | 7 | 39 | | 8 | 169 | | 9 | 2 | | 10 | 42 | | 11 | 8 | | 12 | 87 | | 13 | 89 | | 14 | 80 | | 15 | 71 | | 16 | 53 | | 17 | 67 | | 18 | 58 | | 19 | 45 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 63 | | matches | | 0 | "was supposed" | | 1 | "got carried" | | 2 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 262 | | matches | | |
| 52.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 63 | | ratio | 0.032 | | matches | | 0 | "Silky small sounds – hovering wings?" | | 1 | "Left ears strained harder into the stillness – mornings often supposed cordial outings like morning solitude every would useless outside bush off still tomorrow and seasons thinking suppressed enjoyable recess silently." |
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| 94.83% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 893 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.04591265397536394 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.01791713325867861 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 25.49 | | std | 49.08 | | cv | 1.925 | | sampleLengths | | 0 | 27 | | 1 | 23 | | 2 | 6 | | 3 | 18 | | 4 | 13 | | 5 | 7 | | 6 | 8 | | 7 | 20 | | 8 | 17 | | 9 | 14 | | 10 | 22 | | 11 | 7 | | 12 | 1 | | 13 | 10 | | 14 | 15 | | 15 | 6 | | 16 | 3 | | 17 | 31 | | 18 | 106 | | 19 | 44 | | 20 | 18 | | 21 | 343 | | 22 | 37 | | 23 | 210 | | 24 | 6 | | 25 | 6 | | 26 | 19 | | 27 | 11 | | 28 | 8 | | 29 | 27 | | 30 | 23 | | 31 | 6 | | 32 | 18 | | 33 | 13 | | 34 | 8 | | 35 | 20 | | 36 | 17 | | 37 | 14 | | 38 | 22 | | 39 | 7 | | 40 | 1 | | 41 | 21 | | 42 | 21 | | 43 | 24 | | 44 | 3 | | 45 | 11 | | 46 | 26 | | 47 | 16 | | 48 | 15 | | 49 | 14 |
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| 85.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5238095238095238 | | totalSentences | 63 | | uniqueOpeners | 33 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Just the wind rustling through" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 60 | | matches | | 0 | "She hadn't told Eva why" | | 1 | "She stood and pivoted to" | | 2 | "I apologize for the previous" | | 3 | "It seems that I got" | | 4 | "I will make sure to" | | 5 | "She hadn't told Eva why" | | 6 | "She stood and began to" | | 7 | "She spun around, her gaze" | | 8 | "She stopped at the edge" | | 9 | "It was as if something" | | 10 | "She felt a bead of" |
| | ratio | 0.183 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 60 | | matches | | 0 | "Aurora hunched over the wooden" | | 1 | "The crescent-shaped scar on her" | | 2 | "She hadn't told Eva why" | | 3 | "This spot, though, was supposed" | | 4 | "Isolde's Grove, nestled within Richmond" | | 5 | "The artifact glowed softly in" | | 6 | "Aurora had expected more, anticipated" | | 7 | "She stood and pivoted to" | | 8 | "Wildflowers bloomed around her, mainly" | | 9 | "Wind errant particles?" | | 10 | "The bounding border for frame" | | 11 | "Rory parted thick floral branches" | | 12 | "I apologize for the previous" | | 13 | "It seems that I got" | | 14 | "I will make sure to" | | 15 | "Here is a rewritten version" | | 16 | "Aurora hunched over the wooden" | | 17 | "The crescent-shaped scar on her" | | 18 | "She hadn't told Eva why" | | 19 | "This spot, though, was supposed" |
| | ratio | 0.617 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 60 | | matches | | 0 | "Now, though, its gentle pulse" | | 1 | "Now, though, its gentle pulse" |
| | ratio | 0.033 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 8 | | matches | | 0 | "Aurora hunched over the wooden railing that surrounded the standing stones, the silver chain of the Heartstone Pendant glinting as she squeezed her fingers into…" | | 1 | "Aurora hunched over the wooden railing that surrounded the standing stones, the silver chain of the Heartstone Pendant glinting as she squeezed her fingers into…" | | 2 | "The wildflowers that bloomed around her seemed to be watching her, their delicate petals swaying in the breeze like silent fingers." | | 3 | "It was as if something was pushing its way through the petals, forcing its way to the surface." | | 4 | "The silence that followed was oppressive, the only sound the soft hum of the Heartstone Pendant against her skin." | | 5 | "The air held its breath, the shadows ceasing their wanderings as if some unseen force had brought everything to a standstill." | | 6 | "Aurora stood frozen, her eyes fixed on the spot where the wildflowers seemed to be pulsing, her heart pounding in her chest like a runaway drumbeat." | | 7 | "And then it vanished, leaving behind only the echoes of a faint, hollow howl that seemed to come from nowhere and everywhere at the same time." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "frame extended entirely (frame extend)" | | 1 | "Rory parted (part)" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |