| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1771 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "very" | | 3 | "slightly" | | 4 | "utterly" |
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| 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) | |
| 43.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1771 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "tracing" | | 3 | "pulse" | | 4 | "searing" | | 5 | "weight" | | 6 | "navigating" | | 7 | "processed" | | 8 | "silence" | | 9 | "rhythmic" | | 10 | "trembled" | | 11 | "traced" | | 12 | "gloom" | | 13 | "familiar" | | 14 | "lilt" | | 15 | "vibrated" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 173 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 173 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 61 | | totalWords | 1761 | | ratio | 0.035 | | matches | | 0 | "That place doesn’t like the dark, Carter. Or maybe it likes it too much. Never figured out which is worse." | | 1 | "Going to the grove. Don’t tell Silas. I think I found something." | | 2 | "Changed." | | 3 | "Fact: Something is watching me." | | 4 | "Fact: The clearing is changing." | | 5 | "Fact: Eva came here and vanished." | | 6 | "Scrape. Scrape. Scrape." | | 7 | "Get out." | | 8 | "Get out get out get out." | | 9 | "whined" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1686 | | uniqueNames | 13 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 18 | | Carter | 1 | | Eva | 14 | | Silas | 3 | | Cardiff | 2 | | Evan | 2 | | October | 1 | | God | 1 | | London | 1 | | Like | 2 | | Chef | 1 | | Yu-Fei | 1 | | Welsh | 1 |
| | persons | | 0 | "Rory" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Yu-Fei" |
| | places | | | globalScore | 0.966 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 1 | | matches | | |
| 86.43% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.136 | | wordCount | 1761 | | matches | | 0 | "not sapwood or heartwood but a tunnel, narrow" | | 1 | "not toward the tunnel, but backward, one careful step at a time, her eyes fixed on the" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 25.9 | | std | 21.1 | | cv | 0.815 | | sampleLengths | | 0 | 6 | | 1 | 46 | | 2 | 39 | | 3 | 62 | | 4 | 47 | | 5 | 44 | | 6 | 64 | | 7 | 6 | | 8 | 49 | | 9 | 55 | | 10 | 6 | | 11 | 42 | | 12 | 4 | | 13 | 41 | | 14 | 37 | | 15 | 2 | | 16 | 46 | | 17 | 4 | | 18 | 32 | | 19 | 5 | | 20 | 5 | | 21 | 6 | | 22 | 25 | | 23 | 26 | | 24 | 17 | | 25 | 11 | | 26 | 3 | | 27 | 4 | | 28 | 64 | | 29 | 7 | | 30 | 3 | | 31 | 4 | | 32 | 72 | | 33 | 2 | | 34 | 34 | | 35 | 37 | | 36 | 5 | | 37 | 5 | | 38 | 38 | | 39 | 36 | | 40 | 15 | | 41 | 3 | | 42 | 50 | | 43 | 35 | | 44 | 16 | | 45 | 61 | | 46 | 5 | | 47 | 37 | | 48 | 79 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 173 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 282 | | matches | | 0 | "was waiting" | | 1 | "was coming" | | 2 | "was draining" | | 3 | "was learning" | | 4 | "was listening" | | 5 | "was watching" | | 6 | "was coming" | | 7 | "was shaking" | | 8 | "was crying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 178 | | ratio | 0.051 | | matches | | 0 | "The wildflowers—bluebells, she noted distantly, and something pale and trumpet-shaped that shouldn’t have been blooming in October—swayed without wind." | | 1 | "Not a body—God, not a body—but something." | | 2 | "And then—softly, impossibly—someone giggled." | | 3 | "She’d heard Eva laugh a thousand times—at bad movies, at Silas’s terrible jokes, at the way Rory always burned the egg fried rice no matter how many times Chef Yu-Fei showed her." | | 4 | "But Rory had spent three years running—from Evan, from Cardiff, from the person she’d been when she’d believed she deserved what he’d given her." | | 5 | "Not metaphorically—physically." | | 6 | "The voice was Eva’s—the same cadence, the same slight Welsh lilt at the end of her sentences." | | 7 | "Not like wood breaking—like lips parting." | | 8 | "And she began to walk—not toward the tunnel, but backward, one careful step at a time, her eyes fixed on the thing at the edge of the grove." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1704 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 63 | | adverbRatio | 0.03697183098591549 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.01232394366197183 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 9.89 | | std | 8.2 | | cv | 0.829 | | sampleLengths | | 0 | 6 | | 1 | 16 | | 2 | 3 | | 3 | 3 | | 4 | 24 | | 5 | 20 | | 6 | 19 | | 7 | 17 | | 8 | 22 | | 9 | 23 | | 10 | 6 | | 11 | 3 | | 12 | 18 | | 13 | 7 | | 14 | 7 | | 15 | 6 | | 16 | 4 | | 17 | 18 | | 18 | 14 | | 19 | 3 | | 20 | 5 | | 21 | 4 | | 22 | 35 | | 23 | 25 | | 24 | 6 | | 25 | 17 | | 26 | 19 | | 27 | 13 | | 28 | 10 | | 29 | 10 | | 30 | 1 | | 31 | 15 | | 32 | 3 | | 33 | 5 | | 34 | 7 | | 35 | 2 | | 36 | 2 | | 37 | 6 | | 38 | 6 | | 39 | 13 | | 40 | 23 | | 41 | 1 | | 42 | 2 | | 43 | 1 | | 44 | 24 | | 45 | 5 | | 46 | 8 | | 47 | 4 | | 48 | 3 | | 49 | 14 |
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| 35.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.24157303370786518 | | totalSentences | 178 | | uniqueOpeners | 43 | |
| 67.11% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 149 | | matches | | 0 | "Then, from somewhere behind the" | | 1 | "Utterly, deathly cold." | | 2 | "Somewhere in the distance, a" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 149 | | matches | | 0 | "She pressed her palm flat" | | 1 | "She shouldn’t have come at" | | 2 | "She knew that." | | 3 | "I think I found something.*" | | 4 | "She pulled her phone from" | | 5 | "She swept it slowly, methodically," | | 6 | "She’d hoped for a sign." | | 7 | "She stood, and the pendant" | | 8 | "It burned against her skin" | | 9 | "They were no longer reaching" | | 10 | "They were reaching inward." | | 11 | "She took a step backward," | | 12 | "It was the cold of" | | 13 | "She was certain of it." | | 14 | "She took a deliberate step" | | 15 | "Her voice came out steady," | | 16 | "It was a held breath." | | 17 | "She steadied it with her" | | 18 | "It was a child’s giggle," | | 19 | "She’d heard Eva laugh a" |
| | ratio | 0.289 | |
| 90.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 149 | | matches | | 0 | "The grove was waiting for" | | 1 | "That was the first wrong" | | 2 | "Trees didn’t wait." | | 3 | "Trees didn’t expect." | | 4 | "The pendant pulsed against her" | | 5 | "She pressed her palm flat" | | 6 | "The ancient oaks, their bark" | | 7 | "Moonlight pooled in the clearing" | | 8 | "She shouldn’t have come at" | | 9 | "She knew that." | | 10 | "Silas had said as much," | | 11 | "*That place doesn’t like the" | | 12 | "The last text on Rory’s" | | 13 | "I think I found something.*" | | 14 | "Eva had sounded giddy." | | 15 | "Eva, who’d pulled Rory from" | | 16 | "Eva, who’d held her hand" | | 17 | "That debt would not go" | | 18 | "Rory lowered herself to a" | | 19 | "The wildflowers—bluebells, she noted distantly," |
| | ratio | 0.738 | |
| 67.11% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 149 | | matches | | 0 | "Because she did know." | | 1 | "Because Eva was still inside." |
| | ratio | 0.013 | |
| 62.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 7 | | matches | | 0 | "Eva, who’d pulled Rory from a flat in Cardiff with nothing but a duffel bag and a split lip, who’d let her sleep on her sofa for six months and never once asked…" | | 1 | "Eva, who’d held her hand in A&E while a nurse stitched the small crescent-shaped scar on her left wrist that Evan’s ring had left behind." | | 2 | "It was the cold of something that had been warm not long ago." | | 3 | "A tree at the far edge of the grove, its trunk thinner than the others, its bark pale and smooth in a way that reminded her unpleasantly of skin." | | 4 | "The pauses between words were just slightly too long, as though someone was listening to a recording and repeating it back." | | 5 | "Deep, lightless hollows that pulled at her vision and promised a falling without end." | | 6 | "A seam opened in the trunk, and beyond it was not sapwood or heartwood but a tunnel, narrow and wet, descending at a steep angle into a darkness that made the c…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory whispered (whisper)" | | 1 | "it agreed (agree)" |
| | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.4 | | effectiveRatio | 0.364 | |