| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1141 | | totalAiIsmAdverbs | 3 | | 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) | |
| 34.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1141 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "perfect" | | 1 | "weight" | | 2 | "scanning" | | 3 | "warmth" | | 4 | "pulsed" | | 5 | "intricate" | | 6 | "flicker" | | 7 | "throbbed" | | 8 | "echoing" | | 9 | "silence" | | 10 | "whisper" | | 11 | "familiar" |
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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 | 161 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 161 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 40 | | totalWords | 1136 | | ratio | 0.035 | | matches | | 0 | "Right place, then." | | 1 | "The Richmond Grove. Midnight. The stone will guide you." | | 2 | "Don’t give the jury something to look at unless you want them to see it." | | 3 | "There." | | 4 | "Cool-headed, Rory. Think." | | 5 | "Get out." | | 6 | "Tick-tock." | | 7 | "Tick-tock. Tick-tock." | | 8 | "…Rorrrry…" | | 9 | "…stay…" | | 10 | "…give…us…the key…" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1128 | | uniqueNames | 5 | | maxNameDensity | 0.44 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Richmond | 1 | | Grove | 1 | | Lissy | 3 | | Rory | 5 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 26.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 4 | | matches | | 0 | "yellow that seemed to glow" | | 1 | "felt like a dead weight" | | 2 | "looked like faces if you stared too long" | | 3 | "felt like fire" |
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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 | 1136 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 22.72 | | std | 19.62 | | cv | 0.864 | | sampleLengths | | 0 | 5 | | 1 | 78 | | 2 | 3 | | 3 | 70 | | 4 | 8 | | 5 | 56 | | 6 | 47 | | 7 | 23 | | 8 | 17 | | 9 | 58 | | 10 | 3 | | 11 | 37 | | 12 | 1 | | 13 | 40 | | 14 | 35 | | 15 | 41 | | 16 | 4 | | 17 | 14 | | 18 | 38 | | 19 | 7 | | 20 | 10 | | 21 | 11 | | 22 | 42 | | 23 | 9 | | 24 | 30 | | 25 | 14 | | 26 | 30 | | 27 | 1 | | 28 | 12 | | 29 | 2 | | 30 | 28 | | 31 | 23 | | 32 | 3 | | 33 | 13 | | 34 | 38 | | 35 | 1 | | 36 | 10 | | 37 | 1 | | 38 | 39 | | 39 | 57 | | 40 | 17 | | 41 | 48 | | 42 | 11 | | 43 | 15 | | 44 | 2 | | 45 | 6 | | 46 | 25 | | 47 | 28 | | 48 | 21 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 161 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 182 | | matches | | 0 | "was coming" | | 1 | "was blazing" |
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| 54.13% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 161 | | ratio | 0.031 | | matches | | 0 | "Wildflowers bloomed in impossible profusion between them, their colours vivid even in the monochrome light—deep purples, violent reds, a yellow that seemed to glow." | | 1 | "The air grew thicker, richer with the scent of those flowers—cloying, like overripe fruit and honey." | | 2 | "Then movement—a flicker at the edge of her vision, where the stone shadows met the deeper black of the woods." | | 3 | "The questions about Lissy, the mysterious benefactor, the logic of it all—it all shrank to a single, primal point: *Get out.*" | | 4 | "It had no clear form—a shifting, man-shaped void that drank the moonlight." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 468 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 12 | | adverbRatio | 0.02564102564102564 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 7.06 | | std | 4.94 | | cv | 0.701 | | sampleLengths | | 0 | 5 | | 1 | 9 | | 2 | 9 | | 3 | 19 | | 4 | 5 | | 5 | 16 | | 6 | 5 | | 7 | 8 | | 8 | 7 | | 9 | 3 | | 10 | 15 | | 11 | 6 | | 12 | 11 | | 13 | 14 | | 14 | 24 | | 15 | 8 | | 16 | 6 | | 17 | 5 | | 18 | 15 | | 19 | 3 | | 20 | 1 | | 21 | 12 | | 22 | 14 | | 23 | 5 | | 24 | 4 | | 25 | 13 | | 26 | 2 | | 27 | 16 | | 28 | 7 | | 29 | 6 | | 30 | 7 | | 31 | 2 | | 32 | 8 | | 33 | 5 | | 34 | 8 | | 35 | 4 | | 36 | 5 | | 37 | 14 | | 38 | 14 | | 39 | 3 | | 40 | 22 | | 41 | 3 | | 42 | 2 | | 43 | 14 | | 44 | 11 | | 45 | 10 | | 46 | 1 | | 47 | 11 | | 48 | 4 | | 49 | 4 |
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| 46.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.33540372670807456 | | totalSentences | 161 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 137 | | matches | | 0 | "Just the gentle, wrong sigh" | | 1 | "Slowly, so slowly her joints" | | 2 | "Just the standing stones, the" | | 3 | "Then movement—a flicker at the" | | 4 | "Then, a whisper." | | 5 | "Directly in front of her," |
| | ratio | 0.044 | |
| 76.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 137 | | matches | | 0 | "Her breath clouded in the" | | 1 | "She pulled her hand back." | | 2 | "It smelled of ozone and" | | 3 | "She pushed through the final" | | 4 | "They pulled like tiny, insistent" | | 5 | "It should have been warm." | | 6 | "She took a step forward." | | 7 | "It sighed, a soft exhalation" | | 8 | "It coated the back of" | | 9 | "She froze, eyes scanning the" | | 10 | "she whispered to herself" | | 11 | "She moved towards the stones." | | 12 | "Their surfaces swirled with patterns" | | 13 | "She didn’t stare." | | 14 | "Her father, the barrister, had" | | 15 | "She clutched it, the deep" | | 16 | "It pulsed once, a feeble" | | 17 | "They formed a shape." | | 18 | "She knelt at the edge" | | 19 | "They were tiny, intricate fungi," |
| | ratio | 0.358 | |
| 62.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 137 | | matches | | 0 | "The third oak looked wrong." | | 1 | "Rory stopped, one hand braced" | | 2 | "Her breath clouded in the" | | 3 | "The map, a torn scrap" | | 4 | "This was the last one." | | 5 | "The bark under her fingers" | | 6 | "She pulled her hand back." | | 7 | "A faint, silvery residue clung" | | 8 | "It smelled of ozone and" | | 9 | "She pushed through the final" | | 10 | "They pulled like tiny, insistent" | | 11 | "The clearing opened before her," | | 12 | "Wildflowers bloomed in impossible profusion" | | 13 | "The Heartstone pendant lay cold" | | 14 | "That was the first wrong" | | 15 | "It should have been warm." | | 16 | "The note, left under her" | | 17 | "*The Richmond Grove." | | 18 | "The stone will guide you.*" | | 19 | "She took a step forward." |
| | ratio | 0.796 | |
| 36.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 137 | | matches | | 0 | "Now, standing in the silent" |
| | ratio | 0.007 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Wildflowers bloomed in impossible profusion between them, their colours vivid even in the monochrome light—deep purples, violent reds, a yellow that seemed to g…" | | 1 | "It sighed, a soft exhalation that made the hair on her arms prickle." | | 2 | "A vibration, a low hum that travelled up the chain and into her breastbone." | | 3 | "It had no clear form—a shifting, man-shaped void that drank the moonlight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |