| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1213 | | totalAiIsmAdverbs | 1 | | 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) | |
| 9.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1213 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throb" | | 2 | "warmth" | | 3 | "silence" | | 4 | "weight" | | 5 | "charged" | | 6 | "glistening" | | 7 | "footsteps" | | 8 | "predator" | | 9 | "silk" | | 10 | "pounding" | | 11 | "grave" | | 12 | "searing" | | 13 | "anticipation" |
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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 | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 22 | | totalWords | 1213 | | ratio | 0.018 | | matches | | 0 | "The flowers are singing. I can hear them. Come to the grove." | | 1 | "thump-thump, thump-thump" | | 2 | "Don't look at the stones," | | 3 | "They're looking back." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1149 | | uniqueNames | 12 | | maxNameDensity | 1.04 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Aurora | 12 | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | Eva | 7 | | Pen | 1 | | Ponds | 1 | | Grove | 1 | | Pre-Law | 1 | | Cardiff | 1 | | Evan | 2 | | Morse | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Pen" | | 3 | "Grove" | | 4 | "Cardiff" |
| | globalScore | 0.978 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 35.12% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.649 | | wordCount | 1213 | | matches | | 0 | "Not the silence of empty woods, but a held breath, a pressure against her eardrums, a weight" | | 1 | "not striking, but blocking, guiding her deeper into the circle" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 30.33 | | std | 22.45 | | cv | 0.74 | | sampleLengths | | 0 | 10 | | 1 | 60 | | 2 | 45 | | 3 | 5 | | 4 | 15 | | 5 | 16 | | 6 | 48 | | 7 | 70 | | 8 | 29 | | 9 | 15 | | 10 | 48 | | 11 | 4 | | 12 | 2 | | 13 | 21 | | 14 | 37 | | 15 | 65 | | 16 | 40 | | 17 | 45 | | 18 | 48 | | 19 | 33 | | 20 | 10 | | 21 | 3 | | 22 | 55 | | 23 | 2 | | 24 | 53 | | 25 | 6 | | 26 | 65 | | 27 | 3 | | 28 | 64 | | 29 | 7 | | 30 | 26 | | 31 | 17 | | 32 | 59 | | 33 | 44 | | 34 | 54 | | 35 | 16 | | 36 | 4 | | 37 | 55 | | 38 | 10 | | 39 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 200 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 117 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1158 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 34 | | adverbRatio | 0.02936096718480138 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008635578583765112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.37 | | std | 8.54 | | cv | 0.824 | | sampleLengths | | 0 | 10 | | 1 | 15 | | 2 | 16 | | 3 | 29 | | 4 | 23 | | 5 | 1 | | 6 | 1 | | 7 | 20 | | 8 | 5 | | 9 | 3 | | 10 | 12 | | 11 | 4 | | 12 | 5 | | 13 | 7 | | 14 | 2 | | 15 | 22 | | 16 | 4 | | 17 | 2 | | 18 | 8 | | 19 | 9 | | 20 | 1 | | 21 | 6 | | 22 | 22 | | 23 | 14 | | 24 | 20 | | 25 | 4 | | 26 | 4 | | 27 | 29 | | 28 | 15 | | 29 | 7 | | 30 | 1 | | 31 | 2 | | 32 | 20 | | 33 | 3 | | 34 | 15 | | 35 | 4 | | 36 | 2 | | 37 | 1 | | 38 | 20 | | 39 | 4 | | 40 | 22 | | 41 | 11 | | 42 | 3 | | 43 | 1 | | 44 | 15 | | 45 | 14 | | 46 | 14 | | 47 | 18 | | 48 | 21 | | 49 | 6 |
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| 57.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.37606837606837606 | | totalSentences | 117 | | uniqueOpeners | 44 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Only foxgloves nodding in a" | | 1 | "Only the dark pressing in" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 95 | | matches | | 0 | "She jerked the Heartstone from" | | 1 | "Her breath clouded, then the" | | 2 | "Her voice cracked" | | 3 | "She coughed, cleared her throat." | | 4 | "She checked her phone." | | 5 | "She shook it, thumped the" | | 6 | "She came here for a" | | 7 | "I can hear them." | | 8 | "She walked the perimeter, counting" | | 9 | "She reached for the pendant" | | 10 | "It pulsed harder, a frantic" | | 11 | "Her breath caught." | | 12 | "Her phone buzzed in her" | | 13 | "She fumbled it out." | | 14 | "*They're looking back.*" | | 15 | "She looked up." | | 16 | "They swayed, though no wind" | | 17 | "Her body moved, trainers pounding" | | 18 | "She ran toward the tree" | | 19 | "She stumbled, caught herself on" |
| | ratio | 0.295 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 95 | | matches | | 0 | "The silver chain seared a" | | 1 | "She jerked the Heartstone from" | | 2 | "The crimson gem pulsed, a" | | 3 | "The standing stones rose before" | | 4 | "Blossoms that should have withered" | | 5 | "Aurora stepped inside the circle." | | 6 | "The temperature plummeted." | | 7 | "Her breath clouded, then the" | | 8 | "Her voice cracked" | | 9 | "She coughed, cleared her throat." | | 10 | "She checked her phone." | | 11 | "She shook it, thumped the" | | 12 | "She came here for a" | | 13 | "The dreams had begun three" | | 14 | "Crimson gemstones in her sleeping" | | 15 | "I can hear them." | | 16 | "Aurora had found Eva's bicycle" | | 17 | "She walked the perimeter, counting" | | 18 | "The eighth stood half-buried behind" | | 19 | "Aurora touched it." |
| | ratio | 0.842 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 95 | | matches | | | ratio | 0.011 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 15 | | matches | | 0 | "The crimson gem pulsed, a slow throb of heat that matched the hammering in her throat." | | 1 | "Three days she'd tracked it here, following the warmth through Richmond Park's deer paths until the trees thinned and the air tasted of copper and rain that had…" | | 2 | "Blossoms that should have withered weeks ago, their petals vivid and wrong against the loam, glowing faintly in the dark." | | 3 | "And Eva, her oldest friend, had vanished two days prior after sending a text that read: *The flowers are singing." | | 4 | "Aurora had found Eva's bicycle propped against a bench near the Pen Ponds, the chain still spinning, the seat radiating warmth as if someone had just stood from…" | | 5 | "The eighth stood half-buried behind the largest oak, its surface glistening with moss that glowed faintly silver, bioluminescent and obscene." | | 6 | "Only foxgloves nodding in a wind that didn't exist, their stems bending toward her like curious necks, like watching eyes." | | 7 | "Pre-Law training, or the stubborn streak that had carried her out of Cardiff and away from Evan's fists, kept her voice steady." | | 8 | "Aurora turned with it, pivoting on her heels, her trainers scraping against the loam." | | 9 | "Aurora backpedalled toward the centre of the circle, her trainers sinking into soil that felt too soft, too yielding, like flesh." | | 10 | "Hundreds of blooms swivelling on their stems to face her, their petals rustling like silk skirts, like whispered secrets." | | 11 | "The standing stones had transformed into tall, narrow shapes, silhouettes that stretched too high, too thin, crowned with shapes that might have been antlers or…" | | 12 | "She turned slowly, her neck muscles aching, her lungs burning." | | 13 | "The eighth one, the moss-covered one, stepped forward on roots that tore free of the earth, creaking and groaning." | | 14 | "It had Eva's height, Eva's black hair, but its limbs moved wrong, joints bending backward, and where its face should have been, there was only smooth bark and t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |