| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1612 | | totalAiIsmAdverbs | 4 | | 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) | |
| 44.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1612 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "silence" | | 3 | "glistening" | | 4 | "whisper" | | 5 | "rhythmic" | | 6 | "searing" | | 7 | "velvet" | | 8 | "racing" | | 9 | "raced" |
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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 | 220 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 220 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 228 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 36 | | totalWords | 1590 | | ratio | 0.023 | | matches | | 0 | "sclick" | | 1 | "cluck" | | 2 | "Fox. Badger. Something natural." | | 3 | "waited" | | 4 | "Rory." | | 5 | "Stay. Stay. Stay." | | 6 | "Gone." | | 7 | "twitched" | | 8 | "answered" | | 9 | "From inside." | | 10 | "No. No no no." | | 11 | "We see you. We hear you. You are ours." | | 12 | "Did not know." | | 13 | "Calm. Control." | | 14 | "inside" | | 15 | "always" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1527 | | uniqueNames | 24 | | maxNameDensity | 0.65 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Fae" | | discoveredNames | | Richmond | 2 | | Park | 2 | | March | 1 | | Heartstone | 5 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Eva | 2 | | Silas | 3 | | Borough | 1 | | High | 1 | | Street | 1 | | Aurora | 10 | | Fae | 8 | | Grove | 1 | | Rory | 2 | | Carter | 1 | | Evan | 1 | | Cardiff | 1 | | London | 1 | | Hel | 1 | | Seelie | 1 | | Court | 1 | | Unseelie | 1 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Aurora" | | 4 | "Fae" | | 5 | "Rory" | | 6 | "Carter" | | 7 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "March" | | 3 | "Borough" | | 4 | "High" | | 5 | "Street" | | 6 | "Grove" | | 7 | "Cardiff" | | 8 | "London" | | 9 | "Hel" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 2 | | matches | | 0 | "something like soot, but not quite" | | 1 | "not quite" | | 2 | "felt like a surrender" |
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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 | 1590 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 228 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 98 | | mean | 16.22 | | std | 15.27 | | cv | 0.941 | | sampleLengths | | 0 | 87 | | 1 | 43 | | 2 | 10 | | 3 | 28 | | 4 | 2 | | 5 | 5 | | 6 | 57 | | 7 | 38 | | 8 | 5 | | 9 | 4 | | 10 | 37 | | 11 | 2 | | 12 | 39 | | 13 | 3 | | 14 | 39 | | 15 | 17 | | 16 | 12 | | 17 | 9 | | 18 | 3 | | 19 | 49 | | 20 | 9 | | 21 | 3 | | 22 | 45 | | 23 | 23 | | 24 | 27 | | 25 | 6 | | 26 | 20 | | 27 | 2 | | 28 | 3 | | 29 | 14 | | 30 | 6 | | 31 | 19 | | 32 | 27 | | 33 | 7 | | 34 | 33 | | 35 | 19 | | 36 | 3 | | 37 | 4 | | 38 | 23 | | 39 | 34 | | 40 | 2 | | 41 | 37 | | 42 | 2 | | 43 | 2 | | 44 | 3 | | 45 | 2 | | 46 | 12 | | 47 | 22 | | 48 | 4 | | 49 | 26 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 220 | | matches | | 0 | "been frozen" | | 1 | "being dragged" | | 2 | "was gone" | | 3 | "been given" | | 4 | "was gone" |
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| 77.45% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 272 | | matches | | 0 | "was heading" | | 1 | "was pulsing" | | 2 | "was breathing" | | 3 | "wasn’t saying" | | 4 | "were heaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 25 | | semicolonCount | 0 | | flaggedSentences | 21 | | totalSentences | 228 | | ratio | 0.092 | | matches | | 0 | "She’d forgotten about the crescent mark on her left wrist—the old childhood burn from touching a stove too young, too curious." | | 1 | "The usual scent of damp earth and pine sharpened into something metallic—like blood and iron." | | 2 | "She reached under her collar and touched the gem—smooth, warm, throbbing like a second pulse." | | 3 | "Not silence—never silence." | | 4 | "Only that sound again—a slow, dragging scrape, followed by a wet *cluck*." | | 5 | "The wildflowers lining the path—white and purple and blue—all stood upright, defying gravity, their petals glistening as if latex-coated." | | 6 | "Their scent rolled over her—sweet, cloying, like overripe fruit left in sun." | | 7 | "The standing stones rose ahead, four great oaks twisted into archways, their trunks grown together centuries ago, their bark blackened with age and something else—something like soot, but not quite." | | 8 | "She pulled her foot up—wet, sticky." | | 9 | "“Right. Okay. Plan change.” She reached for her phone—dead battery." | | 10 | "The path back—the one she’d come through—was gone." | | 11 | "That was the point of the Fae Grove—the pocket between worlds, time moving like a drunk man’s waltz." | | 12 | "And then—" | | 13 | "She was Rory Carter—cool-headed, quick-thinking." | | 14 | "The standing stones groaned—actual sound, low and resonant, like a cathedral organ note vibrating in her teeth." | | 15 | "Their limbs jointed wrong—elbows bending the other way, knees cracking like dry wood." | | 16 | "They moved without walking—more like sliding, their feet never quite touching the ground." | | 17 | "It tilted its head—too far, too long—and spoke in a voice like crushed velvet and rotten teeth." | | 18 | "The lead Fae laughed—a sound like breaking glass." | | 19 | "Not from the gem—from *inside* her." | | 20 | "But the Heartstone—" |
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| 96.66% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1552 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 68 | | adverbRatio | 0.04381443298969072 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.009664948453608248 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 228 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 228 | | mean | 6.97 | | std | 5.71 | | cv | 0.819 | | sampleLengths | | 0 | 14 | | 1 | 20 | | 2 | 21 | | 3 | 12 | | 4 | 20 | | 5 | 7 | | 6 | 18 | | 7 | 18 | | 8 | 5 | | 9 | 2 | | 10 | 3 | | 11 | 25 | | 12 | 3 | | 13 | 2 | | 14 | 5 | | 15 | 11 | | 16 | 21 | | 17 | 6 | | 18 | 2 | | 19 | 17 | | 20 | 4 | | 21 | 2 | | 22 | 3 | | 23 | 29 | | 24 | 5 | | 25 | 4 | | 26 | 10 | | 27 | 15 | | 28 | 5 | | 29 | 7 | | 30 | 2 | | 31 | 11 | | 32 | 13 | | 33 | 15 | | 34 | 3 | | 35 | 11 | | 36 | 3 | | 37 | 16 | | 38 | 7 | | 39 | 2 | | 40 | 2 | | 41 | 4 | | 42 | 11 | | 43 | 12 | | 44 | 5 | | 45 | 1 | | 46 | 1 | | 47 | 2 | | 48 | 3 | | 49 | 19 |
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| 30.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 45 | | diversityRatio | 0.2324561403508772 | | totalSentences | 228 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 175 | | matches | | 0 | "Instead, she stood at the" | | 1 | "Only that sound again—a slow," | | 2 | "Only the stones." | | 3 | "Only the flowers." | | 4 | "Only the wet, rhythmic pulse" | | 5 | "Maybe it could open one." | | 6 | "Maybe that’s why she was" | | 7 | "Then, from the edges of" |
| | ratio | 0.046 | |
| 57.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 71 | | totalSentences | 175 | | matches | | 0 | "She should have been home" | | 1 | "She hadn’t intended to come." | | 2 | "It had started in the" | | 3 | "Her fingers had dropped from" | | 4 | "She’d forgotten about the crescent" | | 5 | "She’d told no one." | | 6 | "She’d clocked out, ignored the" | | 7 | "She knew because the air" | | 8 | "Her breath came too fast." | | 9 | "She told herself it was" | | 10 | "She reached under her collar" | | 11 | "She stepped forward." | | 12 | "She moved deeper." | | 13 | "They didn’t sway." | | 14 | "They didn’t tremble." | | 15 | "They simply *waited*." | | 16 | "Their scent rolled over her—sweet," | | 17 | "She wanted to gag but" | | 18 | "Her pendant glowed faintly, a" | | 19 | "She kept walking." |
| | ratio | 0.406 | |
| 82.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 175 | | matches | | 0 | "The path through Richmond Park" | | 1 | "The usual murmur of distant" | | 2 | "Aurora adjusted the strap of" | | 3 | "The cold bit through her" | | 4 | "The Heartstone pendant burned against" | | 5 | "She should have been home" | | 6 | "Silas would be serving last" | | 7 | "She hadn’t intended to come." | | 8 | "It had started in the" | | 9 | "Her fingers had dropped from" | | 10 | "She’d forgotten about the crescent" | | 11 | "A second heartbeat in her" | | 12 | "She’d told no one." | | 13 | "She’d clocked out, ignored the" | | 14 | "The grove wasn’t empty." | | 15 | "She knew because the air" | | 16 | "The usual scent of damp" | | 17 | "Her breath came too fast." | | 18 | "She told herself it was" | | 19 | "The command settled in her" |
| | ratio | 0.754 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 175 | | matches | (empty) | | ratio | 0 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora adjusted the strap of her delivery bag, her boots crunching on frozen grass that shouldn’t have been frozen in March." | | 1 | "The wildflowers lining the path—white and purple and blue—all stood upright, defying gravity, their petals glistening as if latex-coated." | | 2 | "A slow, rhythmic contraction, as if something inside was breathing." | | 3 | "The ones who stole children and left changelings in their place." | | 4 | "The standing stones split with cracks that raced upward like lightning, the sound deafening." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "The Fae mimicked, voice dripping with mockery" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.5 | | effectiveRatio | 0.154 | |