| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1830 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 45.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1830 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "calloused fingers" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "loomed" | | 3 | "echoed" | | 4 | "tracing" | | 5 | "flicker" | | 6 | "trembled" | | 7 | "silence" | | 8 | "throbbed" | | 9 | "glint" | | 10 | "calloused fingers" | | 11 | "quivered" | | 12 | "gleaming" | | 13 | "familiar" | | 14 | "whisper" | | 15 | "pulsed" | | 16 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 228 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 228 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 258 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 15 | | markdownWords | 68 | | totalWords | 1819 | | ratio | 0.037 | | matches | | 0 | "don’t hesitate at the threshold" | | 1 | "Isolde’s grove, not the living kind." | | 2 | "after that phone call from Dymas" | | 3 | "Hel’s veil’s here now. Yolk its colour. Wait for the right moon." | | 4 | "moon" | | 5 | "You like being trapped in places, don’t you? Always hiding." | | 6 | "You think you’re protecting yourself? The Grove’s not your ally." | | 7 | "belong here" | | 8 | "The Fae don’t gift. They trade." | | 9 | "Move." | | 10 | "No more faces" | | 11 | "*" | | 12 | "*" | | 13 | "“Delivery late,”" | | 14 | "“Payment due.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 81 | | wordCount | 1468 | | uniqueNames | 16 | | maxNameDensity | 1.98 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Fae | 8 | | Grove | 3 | | Park | 1 | | April | 1 | | Silas | 5 | | Wait | 2 | | Evan | 12 | | Aurora | 29 | | Evans | 1 | | West | 1 | | Wales | 1 | | Welsh | 1 | | Dymas | 2 | | Isolde | 8 | | Rory | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Aurora" | | 4 | "Evans" | | 5 | "Isolde" | | 6 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Park" | | 3 | "April" | | 4 | "West" | | 5 | "Wales" | | 6 | "Dymas" |
| | globalScore | 0.512 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 113 | | glossingSentenceCount | 1 | | matches | | |
| 35.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.649 | | wordCount | 1819 | | matches | | 0 | "not trees but something older, their bark smoother than bone" | | 1 | "not Evans’s strong, calloused fingers but something knifed in the same impatient angle" | | 2 | "Not Isolde’s features she saw in the mist now, but her own" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 258 | | matches | | 0 | "hiding.* That night" | | 1 | "left that mark" | | 2 | "knew that cadence" | | 3 | "trade.* That pendant" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 97 | | mean | 18.75 | | std | 15.96 | | cv | 0.851 | | sampleLengths | | 0 | 53 | | 1 | 68 | | 2 | 6 | | 3 | 62 | | 4 | 68 | | 5 | 17 | | 6 | 7 | | 7 | 14 | | 8 | 40 | | 9 | 2 | | 10 | 7 | | 11 | 50 | | 12 | 3 | | 13 | 37 | | 14 | 30 | | 15 | 19 | | 16 | 49 | | 17 | 1 | | 18 | 45 | | 19 | 17 | | 20 | 2 | | 21 | 34 | | 22 | 15 | | 23 | 26 | | 24 | 9 | | 25 | 18 | | 26 | 18 | | 27 | 16 | | 28 | 10 | | 29 | 35 | | 30 | 10 | | 31 | 25 | | 32 | 51 | | 33 | 10 | | 34 | 11 | | 35 | 34 | | 36 | 14 | | 37 | 12 | | 38 | 2 | | 39 | 27 | | 40 | 27 | | 41 | 1 | | 42 | 21 | | 43 | 5 | | 44 | 16 | | 45 | 36 | | 46 | 14 | | 47 | 6 | | 48 | 35 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 228 | | matches | | 0 | "being trapped" | | 1 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 278 | | matches | (empty) | |
| 32.12% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 258 | | ratio | 0.039 | | matches | | 0 | "She knew the rules—*don’t hesitate at the threshold*—but the air inside the Fae Grove thickened into something alive." | | 1 | "The map Silas had sketched days ago—*after that phone call from Dymas*—glittered in her mind like dying embers." | | 2 | "The ground convulsed, roots snapping like twine as hands—shovel-handed, mottled with bark and knuckles tipped in fungus—emerged from the fissure." | | 3 | "“You’re out of time, Carter.” The grove’s flora dipped as the figure materialised—willowy, draped in bark, her eyes twin pools of blackwater." | | 4 | "The woman raised her other hand, palm out—a gesture of stopping or offering?" | | 5 | "Evan’s face melted into another—childish, grinning, Evan’s cousin from university." | | 6 | "A scream—high, taut—exploded the air." | | 7 | "But the eyes—fahrenheit pools—were not." | | 8 | "Silas’s bar—the smell of whiskey and burnt toast—vanished at the touch of the door’s frame." | | 9 | "Aurora’s hand shot up, blade poised—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 279 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.035842293906810034 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 258 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 258 | | mean | 7.04 | | std | 5.11 | | cv | 0.725 | | sampleLengths | | 0 | 20 | | 1 | 15 | | 2 | 18 | | 3 | 5 | | 4 | 24 | | 5 | 24 | | 6 | 4 | | 7 | 3 | | 8 | 8 | | 9 | 6 | | 10 | 14 | | 11 | 18 | | 12 | 18 | | 13 | 4 | | 14 | 3 | | 15 | 5 | | 16 | 5 | | 17 | 4 | | 18 | 5 | | 19 | 4 | | 20 | 13 | | 21 | 8 | | 22 | 19 | | 23 | 10 | | 24 | 3 | | 25 | 8 | | 26 | 6 | | 27 | 3 | | 28 | 2 | | 29 | 2 | | 30 | 14 | | 31 | 5 | | 32 | 1 | | 33 | 2 | | 34 | 12 | | 35 | 11 | | 36 | 9 | | 37 | 2 | | 38 | 1 | | 39 | 6 | | 40 | 7 | | 41 | 10 | | 42 | 10 | | 43 | 5 | | 44 | 18 | | 45 | 3 | | 46 | 7 | | 47 | 8 | | 48 | 5 | | 49 | 7 |
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| 47.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.3333333333333333 | | totalSentences | 258 | | uniqueOpeners | 86 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 192 | | matches | | 0 | "Always hiding.* That night the" | | 1 | "Then, the creak of a" | | 2 | "Perhaps this was his doing." | | 3 | "Just a wall of roots," |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 192 | | matches | | 0 | "She knew the rules—*don’t hesitate" | | 1 | "They needed cutting back." | | 2 | "They needed mowing." | | 3 | "They needed seasons that hadn’t" | | 4 | "She clutched the pendant tighter," | | 5 | "It was about transit." | | 6 | "*You like being trapped in" | | 7 | "Her phone buzzed." | | 8 | "She spun, hand drifting to" | | 9 | "It pattered twice, then halted," | | 10 | "She jogged five paces, boots" | | 11 | "*You think you’re protecting yourself?" | | 12 | "She unclipped the silver chain," | | 13 | "she said, pocketing the blade" | | 14 | "She spat the memory away." | | 15 | "She’d never heard this voice" | | 16 | "She wrenched free, ignoring the" | | 17 | "she said, voice even" | | 18 | "She’d read about these traps" | | 19 | "They trade.* That pendant had" |
| | ratio | 0.161 | |
| 48.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 158 | | totalSentences | 192 | | matches | | 0 | "Aurora stepped over the gnarled" | | 1 | "The Heartstone matched her pulse" | | 2 | "She knew the rules—*don’t hesitate" | | 3 | "The space should’ve been implausible." | | 4 | "Richmond Park was ten" | | 5 | "They needed cutting back." | | 6 | "They needed mowing." | | 7 | "They needed seasons that hadn’t" | | 8 | "*Isolde’s grove, not the living" | | 9 | "She clutched the pendant tighter," | | 10 | "The standing stones loomed at" | | 11 | "The map Silas had sketched" | | 12 | "*Hel’s veil’s here now." | | 13 | "Yolk its colour." | | 14 | "Rory’s fingers dug deeper." | | 15 | "This wasn’t about the dead." | | 16 | "It was about transit." | | 17 | "Evan had once dragged her" | | 18 | "*You like being trapped in" | | 19 | "Her phone buzzed." |
| | ratio | 0.823 | |
| 26.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 192 | | matches | | 0 | "Now the shadow between the" |
| | ratio | 0.005 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Aurora stepped over the gnarled root, her boot sinking into moss that sloshed like liquid rather than pressing into earth." | | 1 | "But between the ancient oaks, the cobblestone path had dissolved into a narrow, winding trail lined with wildflowers that hadn’t changed from April’s bloom." | | 2 | "The same knife that had cut Rory’s wrist, its hilt twisted from bone, the edge a scream of steel and something less human." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "Aurora murmured, thumb tracing the pendant’s spiral," | | 1 | "Aurora’s voice didn’t, but her hand itched for the blade in her coat" | | 2 | "Aurora snarled, turning to leave" |
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| 57.41% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Aurora murmured (murmur)" | | 1 | "she muttered (mutter)" | | 2 | "Evan’s voice hissed (hiss)" | | 3 | "Aurora snarled (snarl)" | | 4 | "it hissed (hiss)" |
| | dialogueSentences | 54 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0.5 | | effectiveRatio | 0.185 | |