| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "the voice whispers again [again]" | | 1 | "The blue light wraps around [around]" |
| | dialogueSentences | 12 | | tagDensity | 0.917 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1182 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 40.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1182 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "the last thing" | | count | 2 |
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| | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "reminder" | | 3 | "echoing" | | 4 | "beacon" | | 5 | "facade" | | 6 | "silence" | | 7 | "the last thing" |
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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 | 61 | | matches | (empty) | |
| 25.76% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seem to" | | 1 | "tries to" | | 2 | "start to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1155 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 981 | | uniqueNames | 19 | | maxNameDensity | 0.61 | | worstName | "Evan" | | maxWindowNameDensity | 2 | | worstWindowName | "Evan" | | discoveredNames | | Heartstone | 5 | | Pendant | 1 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | You | 1 | | Grove | 1 | | Cardiff | 3 | | Trust | 1 | | Irish | 1 | | Evan | 6 | | Welsh | 1 | | Fae-touched | 1 | | Rory | 4 | | Eva | 2 | | London | 1 | | Fae | 2 | | Hel | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "You" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a lifeline, a nudge away from" | | 1 | "felt like a chance to stop running—like" |
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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 | 1155 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 50.22 | | std | 33.15 | | cv | 0.66 | | sampleLengths | | 0 | 31 | | 1 | 104 | | 2 | 90 | | 3 | 92 | | 4 | 84 | | 5 | 72 | | 6 | 7 | | 7 | 86 | | 8 | 19 | | 9 | 31 | | 10 | 2 | | 11 | 7 | | 12 | 5 | | 13 | 12 | | 14 | 60 | | 15 | 83 | | 16 | 74 | | 17 | 25 | | 18 | 40 | | 19 | 23 | | 20 | 77 | | 21 | 50 | | 22 | 81 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 168 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 67 | | ratio | 0.179 | | matches | | 0 | "Evan’s old threats had lingered in her head all shift—You can’t run forever—and the pendant’s warmth had felt like a lifeline, a nudge away from the flat above Silas’ bar she’d hidden in for six months." | | 1 | "Rory scans the clearing—wildflowers burst in vivid purples and yellows (the codex’s year-round bloom, but here their petals glow too bright, like stained glass held to a fire) but their scent clings to her throat, sweet enough to make her gag." | | 2 | "She’d never known the pendant’s purpose beyond the crumpled note the unknown benefactor left tucked in her moped’s seat—Trust it when the world bends—but now it feels like a beacon drawing something toward her, not away." | | 3 | "She mutters a curse her Irish barrister father would have scorned—his “language is for persuasion, not fury” lecture ringing in her ears—her cool-headed facade fraying at the edges." | | 4 | "She can taste metal on her tongue, a faint tang that makes her swallow hard—copper, she realizes, like the blood she’d spat after Evan’s last slap." | | 5 | "The wood is warm, not cold like a standing stone should be, and she feels a faint pulse beneath her fingers—matching the Heartstone’s thud-thud." | | 6 | "She’d fled Cardiff to escape Evan’s fists, his screams that she was nothing without him, but the pendant’s pulse had felt like a chance to stop running—like a clue to why Evan had grown so violent, why he’d ranted about “things that don’t belong” in their flat." | | 7 | "The vine returns—this time coiling around her ankle, its slimy texture making her recoil." | | 8 | "She scratches at the ground, her nails breaking on the oak’s gnarled roots, and feels the scar on her wrist tear open—warm blood dripping onto the dry leaves." | | 9 | "The Heartstone’s glow flares, bright crimson, and a low hum starts—deep, thrumming, the same sound she’d heard in a nightmare once, when she’d dreamed of a portal swallowing her father." | | 10 | "She scratches at the ground, her broken nails digging into the oak’s roots, and feels the gap’s faint blue light seeping into her skin—Hel portal, the pendant’s behavior says." | | 11 | "The hum grows louder, and she can see shadowy figures moving just beyond the blue light—tall, thin, with eyes that glow red." |
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| 94.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 131 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.04580152671755725 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 17.24 | | std | 10.41 | | cv | 0.604 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 24 | | 3 | 36 | | 4 | 29 | | 5 | 15 | | 6 | 17 | | 7 | 3 | | 8 | 41 | | 9 | 23 | | 10 | 6 | | 11 | 5 | | 12 | 17 | | 13 | 36 | | 14 | 34 | | 15 | 14 | | 16 | 33 | | 17 | 9 | | 18 | 28 | | 19 | 12 | | 20 | 20 | | 21 | 14 | | 22 | 26 | | 23 | 1 | | 24 | 6 | | 25 | 13 | | 26 | 24 | | 27 | 9 | | 28 | 27 | | 29 | 13 | | 30 | 19 | | 31 | 2 | | 32 | 29 | | 33 | 2 | | 34 | 7 | | 35 | 5 | | 36 | 12 | | 37 | 2 | | 38 | 47 | | 39 | 11 | | 40 | 14 | | 41 | 11 | | 42 | 10 | | 43 | 20 | | 44 | 28 | | 45 | 12 | | 46 | 30 | | 47 | 12 | | 48 | 20 | | 49 | 18 |
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| 33.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.26865671641791045 | | totalSentences | 67 | | uniqueOpeners | 18 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Then the voice cuts through" |
| | ratio | 0.018 | |
| 38.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 55 | | matches | | 0 | "She’d ducked into Richmond Park" | | 1 | "She tugs her delivery jacket’s" | | 2 | "It tastes like rot, not" | | 3 | "She presses the small crimson" | | 4 | "She’d never known the pendant’s" | | 5 | "She’d skipped her usual post-shift" | | 6 | "She steps forward, boots crunching" | | 7 | "She mutters a curse her" | | 8 | "She tries to backtrack, but" | | 9 | "She can taste metal on" | | 10 | "She circles the nearest stone," | | 11 | "She yanks her hand away," | | 12 | "Her Welsh teacher mother had" | | 13 | "She’d fled Cardiff to escape" | | 14 | "She grips the chain tighter," | | 15 | "She kicks at it, but" | | 16 | "She hits the ground, the" | | 17 | "She scratches at the ground," | | 18 | "She realizes the pendant’s pulse" | | 19 | "Her mother had died in" |
| | ratio | 0.455 | |
| 14.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 55 | | matches | | 0 | "Rory yanks her arm free" | | 1 | "The vine’s residue glues her" | | 2 | "She’d ducked into Richmond Park" | | 3 | "Evan’s old threats had lingered" | | 4 | "The scar’s rough edge grounds" | | 5 | "The first wrong sound pricks" | | 6 | "Rory scans the clearing—wildflowers burst" | | 7 | "She tugs her delivery jacket’s" | | 8 | "It tastes like rot, not" | | 9 | "The Heartstone’s thud-thud pulse quickens." | | 10 | "She presses the small crimson" | | 11 | "She’d never known the pendant’s" | | 12 | "She’d skipped her usual post-shift" | | 13 | "A flash of pale fabric" | | 14 | "She steps forward, boots crunching" | | 15 | "The flash vanishes when she" | | 16 | "She mutters a curse her" | | 17 | "She tries to backtrack, but" | | 18 | "The giggle returns, closer this" | | 19 | "She can taste metal on" |
| | ratio | 0.891 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 55 | | matches | | 0 | "Now, standing at the Grove’s" | | 1 | "Now, she wonders if her" |
| | ratio | 0.036 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "She tugs her delivery jacket’s frayed collar up, the fabric scratchy against her neck, and spits a petal that’s drifted onto her lip." | | 1 | "She can taste metal on her tongue, a faint tang that makes her swallow hard—copper, she realizes, like the blood she’d spat after Evan’s last slap." | | 2 | "Her Welsh teacher mother had once told her stories of Fae-touched places, of things that stole time and memory, but Rory had dismissed them as childhood fables." | | 3 | "The hum grows louder, and she can see shadowy figures moving just beyond the blue light—tall, thin, with eyes that glow red." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "the voice cuts, soft but sharp, like broken glass:" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "She mutters (mutter)" | | 1 | "the voice whispers again (whisper)" |
| | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.667 | | effectiveRatio | 0.333 | |