| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 904 | | totalAiIsmAdverbs | 2 | | 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) | |
| 28.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 904 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "loomed" | | 1 | "velvet" | | 2 | "crystallized" | | 3 | "chill" | | 4 | "down her spine" | | 5 | "whisper" | | 6 | "pulse" | | 7 | "silence" | | 8 | "shattered" | | 9 | "stomach" | | 10 | "footsteps" | | 11 | "resolving" | | 12 | "perfect" |
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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 | 148 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 148 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 11 | | totalWords | 895 | | ratio | 0.012 | | matches | | 0 | "If you need safe ground, come before moonrise. Bring nothing Fae-touched." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 859 | | uniqueNames | 12 | | maxNameDensity | 1.16 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Isolde | 1 | | Silas | 1 | | Eva | 1 | | Rory | 10 | | Cardiff | 1 | | Evan | 2 | | Richmond | 1 | | Park | 1 | | October | 1 | | English | 1 | | Normal | 3 |
| | persons | | 0 | "Silas" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | 0 | "London" | | 1 | "Isolde" | | 2 | "Cardiff" | | 3 | "Richmond" | | 4 | "Park" | | 5 | "October" | | 6 | "English" |
| | globalScore | 0.918 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 895 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 25.57 | | std | 15.61 | | cv | 0.61 | | sampleLengths | | 0 | 62 | | 1 | 11 | | 2 | 71 | | 3 | 44 | | 4 | 33 | | 5 | 16 | | 6 | 26 | | 7 | 5 | | 8 | 16 | | 9 | 43 | | 10 | 41 | | 11 | 40 | | 12 | 14 | | 13 | 33 | | 14 | 3 | | 15 | 17 | | 16 | 32 | | 17 | 36 | | 18 | 26 | | 19 | 14 | | 20 | 3 | | 21 | 38 | | 22 | 30 | | 23 | 34 | | 24 | 15 | | 25 | 21 | | 26 | 8 | | 27 | 22 | | 28 | 21 | | 29 | 15 | | 30 | 33 | | 31 | 31 | | 32 | 25 | | 33 | 14 | | 34 | 2 |
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| 98.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 148 | | matches | | 0 | "been slipped" | | 1 | "been absorbed" | | 2 | "been lifted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 153 | | ratio | 0.052 | | matches | | 0 | "Left it on the kitchen counter back in London—no sense tempting fate with artifacts she didn't understand." | | 1 | "The handwriting matched Eva's—the looping loops and sharp angles—but her childhood friend hadn't been in contact for years." | | 2 | "Wildflowers in full bloom choked the ground—foxgloves and primroses where English woods should have been brown and decaying." | | 3 | "Around them—eight bonfire rings." | | 4 | "The scent changed—rotting fruit and wet dog." | | 5 | "Features resolving from the mist—high cheeks, too-wide mouth, eyes like black marbles." | | 6 | "The scent of it made her gag—sulfur and spoiled meat." | | 7 | "The tall thing laughed—a sound like breaking glass." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 871 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03444316877152698 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0057405281285878304 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 5.85 | | std | 4.11 | | cv | 0.702 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 17 | | 3 | 8 | | 4 | 7 | | 5 | 8 | | 6 | 3 | | 7 | 5 | | 8 | 1 | | 9 | 16 | | 10 | 3 | | 11 | 2 | | 12 | 10 | | 13 | 18 | | 14 | 9 | | 15 | 7 | | 16 | 6 | | 17 | 23 | | 18 | 11 | | 19 | 4 | | 20 | 7 | | 21 | 3 | | 22 | 12 | | 23 | 11 | | 24 | 7 | | 25 | 4 | | 26 | 5 | | 27 | 9 | | 28 | 4 | | 29 | 7 | | 30 | 6 | | 31 | 5 | | 32 | 7 | | 33 | 9 | | 34 | 4 | | 35 | 3 | | 36 | 6 | | 37 | 8 | | 38 | 11 | | 39 | 2 | | 40 | 2 | | 41 | 7 | | 42 | 5 | | 43 | 18 | | 44 | 2 | | 45 | 2 | | 46 | 14 | | 47 | 7 | | 48 | 2 | | 49 | 9 |
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| 43.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.35947712418300654 | | totalSentences | 153 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 115 | | matches | | 0 | "Just the standing stones sketched" | | 1 | "Just the sudden silence of" | | 2 | "Just the suggestion of water," | | 3 | "Too small to be anything" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 115 | | matches | | 0 | "She hadn't brought the pendant." | | 1 | "Her sneakers crunched on frost" | | 2 | "She stopped three strides from" | | 3 | "Her fingers twitched toward her" | | 4 | "Her scars burned against the" | | 5 | "She stepped forward, boots crushing" | | 6 | "Her stomach clenched." | | 7 | "She'd been in the right" | | 8 | "She didn't turn." | | 9 | "Her neck locked in place," | | 10 | "It vanished before she could" | | 11 | "Her eyes watered." | | 12 | "Its limbs stretched longer than" | | 13 | "Her legs moved before her" | | 14 | "It already stood between her" | | 15 | "She forced herself to stop." | | 16 | "It had a face now." | | 17 | "Her nails bit into her" | | 18 | "She needed an edge." | | 19 | "It whispered the word like" |
| | ratio | 0.174 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 115 | | matches | | 0 | "The standing stones loomed ahead," | | 1 | "Rory touched the silver chain" | | 2 | "The stones marked the entrance" | | 3 | "That was what the note" | | 4 | "She hadn't brought the pendant." | | 5 | "The note had been slipped" | | 6 | "The handwriting matched Eva's—the looping" | | 7 | "Rory's breath crystallized in the" | | 8 | "The moon hung full and" | | 9 | "Her sneakers crunched on frost" | | 10 | "The first wrong note." | | 11 | "She stopped three strides from" | | 12 | "Something waited beyond them." | | 13 | "Something that knew her name." | | 14 | "The air thinned around her," | | 15 | "A held breath released." | | 16 | "Her fingers twitched toward her" | | 17 | "Her scars burned against the" | | 18 | "The voice came from everywhere" | | 19 | "A child's whisper layered with" |
| | ratio | 0.687 | |
| 43.48% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 115 | | matches | | 0 | "*If you need safe ground," |
| | ratio | 0.009 | |
| 35.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 3 | | matches | | 0 | "The moon hung full and heavy above the grove, bathing everything in cold silver that didn't match the chill creeping down her spine." | | 1 | "Not covering the path ahead in delicate needles that held no footprints." | | 2 | "Not glittering under moonlight that should have been absorbed, not reflected." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "It whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.5 | | effectiveRatio | 0.286 | |