| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1368 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 41.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1368 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanning" | | 2 | "chill" | | 3 | "echo" | | 4 | "warmth" | | 5 | "searing" | | 6 | "echoes" | | 7 | "flicker" | | 8 | "resolve" | | 9 | "familiar" | | 10 | "throb" | | 11 | "pulsed" |
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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 | 1 | | narrationSentences | 118 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1349 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1223 | | uniqueNames | 9 | | maxNameDensity | 0.41 | | worstName | "Evan" | | maxWindowNameDensity | 1 | | worstWindowName | "Evan" | | discoveredNames | | Richmond | 1 | | Heartstone | 1 | | Pendant | 1 | | November | 1 | | London | 1 | | Evan | 5 | | Eva | 1 | | Cardiff | 1 | | Fae-touched | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 4 | | matches | | 0 | "as if studying her" | | 1 | "as if responding to her resolve" | | 2 | "as if warning her" | | 3 | "as if noticing it for the first time" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.741 | | wordCount | 1349 | | matches | | 0 | "Not a bird’s call—too high, too sharp, like a glass bottle shattering under a boot but without the echo" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 65.04% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 38.54 | | std | 14.56 | | cv | 0.378 | | sampleLengths | | 0 | 36 | | 1 | 39 | | 2 | 45 | | 3 | 25 | | 4 | 33 | | 5 | 35 | | 6 | 34 | | 7 | 16 | | 8 | 47 | | 9 | 46 | | 10 | 41 | | 11 | 49 | | 12 | 26 | | 13 | 26 | | 14 | 41 | | 15 | 95 | | 16 | 34 | | 17 | 41 | | 18 | 16 | | 19 | 19 | | 20 | 35 | | 21 | 38 | | 22 | 54 | | 23 | 61 | | 24 | 29 | | 25 | 39 | | 26 | 33 | | 27 | 33 | | 28 | 50 | | 29 | 24 | | 30 | 61 | | 31 | 47 | | 32 | 39 | | 33 | 32 | | 34 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 218 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 3 | | flaggedSentences | 18 | | totalSentences | 118 | | ratio | 0.153 | | matches | | 0 | "Its deep crimson gem pulses—faster than it ever has, warm enough to leave a faint pink stain on her chest skin." | | 1 | "The air doesn’t carry the usual London chill; it hums, thick with something she can’t name." | | 2 | "The screen flickers—10:17 PM one second, 2:43 AM the next, then goes black." | | 3 | "Not a bird’s call—too high, too sharp, like a glass bottle shattering under a boot but without the echo." | | 4 | "She shakes off the memory—focus on the pendant, focus on the pulse." | | 5 | "This time, it’s a murmur—words she can’t make out, like someone whispering into a cup." | | 6 | "Something moves there—dark, straight, like her shoulder-length black hair, but it’s gone before she can blink." | | 7 | "Her phone buzzes in her pocket—she yanks it out." | | 8 | "It’s no longer a faint thrum; it’s a pressure, pushing against her eardrums." | | 9 | "She chases it, her boots crunching on something that isn’t moss or dirt—something thin, brittle, like dried paper." | | 10 | "The brittle things under her boots are letters—her letters, the ones she’d written to Eva before fleeing Cardiff." | | 11 | "This time, it’s not a flash—it’s a shadow, tall and thin, standing at the edge of the clearing." | | 12 | "It turns into a laugh—high, childlike, but without joy." | | 13 | "They’ve shifted—what was a straight line before is now a circle, trapping her inside." | | 14 | "She pulls out a wooden chopstick—left over from the last order, wrapped in a paper napkin stained with sweet and sour sauce." | | 15 | "She’d fled Evan’s rage, hidden in Silas’ bar’s back room until Eva could sneak her out; she won’t flee this shadow." | | 16 | "The pendant in her palm pulses again—slower now, but warmer, as if responding to her resolve." | | 17 | "It’s a door creaking—familiar, the sound of Silas’ bar’s back door when she slips in after her late delivery shifts." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 601 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.026622296173044926 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0016638935108153079 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 11.43 | | std | 6.26 | | cv | 0.548 | | sampleLengths | | 0 | 11 | | 1 | 25 | | 2 | 11 | | 3 | 7 | | 4 | 21 | | 5 | 15 | | 6 | 14 | | 7 | 16 | | 8 | 4 | | 9 | 21 | | 10 | 13 | | 11 | 13 | | 12 | 7 | | 13 | 5 | | 14 | 19 | | 15 | 2 | | 16 | 9 | | 17 | 10 | | 18 | 14 | | 19 | 10 | | 20 | 8 | | 21 | 8 | | 22 | 13 | | 23 | 22 | | 24 | 12 | | 25 | 2 | | 26 | 15 | | 27 | 2 | | 28 | 11 | | 29 | 16 | | 30 | 5 | | 31 | 11 | | 32 | 6 | | 33 | 19 | | 34 | 13 | | 35 | 10 | | 36 | 9 | | 37 | 11 | | 38 | 6 | | 39 | 6 | | 40 | 13 | | 41 | 7 | | 42 | 8 | | 43 | 5 | | 44 | 13 | | 45 | 6 | | 46 | 4 | | 47 | 13 | | 48 | 18 | | 49 | 7 |
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| 40.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.1864406779661017 | | totalSentences | 118 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 114 | | matches | | 0 | "She yanks the Heartstone Pendant" | | 1 | "Its deep crimson gem pulses—faster" | | 2 | "she says, her bright blue" | | 3 | "They bloom in clumps of" | | 4 | "Her left wrist tugs." | | 5 | "She rubs the crescent scar" | | 6 | "she says, checking her phone" | | 7 | "She shoves it back into" | | 8 | "she says, but her voice" | | 9 | "She steps deeper into the" | | 10 | "She pauses at a clump" | | 11 | "she says, her fingers curling" | | 12 | "She shakes off the memory—focus" | | 13 | "Her eyes lock on a" | | 14 | "She steps toward the gap." | | 15 | "She yelps, yanking her foot" | | 16 | "she says, leaning down to" | | 17 | "Her phone buzzes in her" | | 18 | "She flings it into the" | | 19 | "It’s no longer a faint" |
| | ratio | 0.561 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 114 | | matches | | 0 | "Rory hefts her delivery bag" | | 1 | "The fabric sticks to the" | | 2 | "She yanks the Heartstone Pendant" | | 3 | "The silver chain bites into" | | 4 | "Its deep crimson gem pulses—faster" | | 5 | "she says, her bright blue" | | 6 | "They bloom in clumps of" | | 7 | "The air doesn’t carry the" | | 8 | "Her left wrist tugs." | | 9 | "She rubs the crescent scar" | | 10 | "she says, checking her phone" | | 11 | "The screen flickers—10:17 PM one" | | 12 | "She shoves it back into" | | 13 | "A sound splits the hum." | | 14 | "Nothing but wildflowers swaying, no" | | 15 | "she says, but her voice" | | 16 | "She steps deeper into the" | | 17 | "The pendant’s pulse throbs in" | | 18 | "She pauses at a clump" | | 19 | "A petal detaches, floats upward," |
| | ratio | 0.956 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "The warmth seeps into her palm, a faint comfort that warms the cold spot left by Evan’s last slap to her cheek." | | 1 | "She chases it, her boots crunching on something that isn’t moss or dirt—something thin, brittle, like dried paper." | | 2 | "The ink on the torn pages smudges when she prods one with her boot, bleeding into the moss and turning it a faint red." | | 3 | "The pendant in her palm pulses again—slower now, but warmer, as if responding to her resolve." | | 4 | "It tilts its head again, as if confused by the shift in her tone." | | 5 | "It holds up its remaining thorn fingers, as if warning her." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "she says, but her voice tightens" | | 1 | "she says, her voice muffled" | | 2 | "she says, her voice steadying" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |