| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1288 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 37.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1288 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "silence" | | 3 | "perfect" | | 4 | "resolved" | | 5 | "echo" | | 6 | "warmth" | | 7 | "comfortable" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1302 | | ratio | 0.003 | | matches | | 0 | "there" | | 1 | "Rory, you're late." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1270 | | uniqueNames | 6 | | maxNameDensity | 0.39 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Keep | 1 | | Eva | 4 | | Hel | 1 | | Rory | 5 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a tear track" |
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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 | 1302 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 46.5 | | std | 37.69 | | cv | 0.81 | | sampleLengths | | 0 | 13 | | 1 | 75 | | 2 | 103 | | 3 | 4 | | 4 | 111 | | 5 | 108 | | 6 | 58 | | 7 | 87 | | 8 | 10 | | 9 | 71 | | 10 | 24 | | 11 | 106 | | 12 | 54 | | 13 | 2 | | 14 | 79 | | 15 | 69 | | 16 | 5 | | 17 | 49 | | 18 | 6 | | 19 | 83 | | 20 | 6 | | 21 | 17 | | 22 | 59 | | 23 | 13 | | 24 | 4 | | 25 | 3 | | 26 | 67 | | 27 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 194 | | matches | | 0 | "wasn't answering" | | 1 | "was coming" | | 2 | "was stumbling" | | 3 | "were talking" | | 4 | "was coming" | | 5 | "were watching" | | 6 | "was widening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 81 | | ratio | 0.136 | | matches | | 0 | "Because when she held the stone up to the light she could see something moving inside it — a suggestion of a door, a hallway, a place where the air bent wrong." | | 1 | "One moment she was stumbling through bracken and dead leaves, the next the ground leveled out and the silence changed — became deep and layered, the way silence sounds inside a cathedral." | | 2 | "Ancient things, six of them — or five, she counted twice and got different numbers — arranged in a ring so perfect it couldn't be natural." | | 3 | "She pressed her palm against it and felt the heat through her shirt, and beneath the heat, something else — a rhythm rising up through the soles of her shoes, a low bass thrum like a heartbeat in the earth." | | 4 | "There was nothing there — only the dark between the oaks, the suggestion of deeper blackness where the undergrowth began." | | 5 | "But the undergrowth there was wrong — a dense tangle of hawthorn had grown in, thorned branches woven tight as wire, and the branches were wet with dew, and the dew was the same too-bright red as the stone against her chest." | | 6 | "But between two of the stones — between the largest oak and the next, where she'd first seen the face in the bark — there was a gap where a tree should have been." | | 7 | "It was no longer beneath her feet — it was at her ankles, rising up her shins, settling into the hollow of her pelvis like something getting comfortable." | | 8 | "Not her speaking voice — the private, warm one that lived in her head, the one she used to argue with herself at three in the morning above Silas' bar." | | 9 | "It was her height, her straight shoulder-length black hair, her bright blue eyes — except the eyes were wrong, too wide, the whites too white, the pupils round and dark and fixed on her like the centers of the wildflowers." | | 10 | "The thing — her shape, her scar, her voice — lowered its hand and smiled, and the smile was the first human thing it had done, and it was the worst because it was kind." |
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| 88.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 113 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.05309734513274336 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.008849557522123894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 16.07 | | std | 12.32 | | cv | 0.767 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 16 | | 3 | 9 | | 4 | 35 | | 5 | 6 | | 6 | 27 | | 7 | 19 | | 8 | 32 | | 9 | 19 | | 10 | 4 | | 11 | 14 | | 12 | 32 | | 13 | 5 | | 14 | 42 | | 15 | 18 | | 16 | 6 | | 17 | 26 | | 18 | 20 | | 19 | 22 | | 20 | 13 | | 21 | 21 | | 22 | 4 | | 23 | 1 | | 24 | 40 | | 25 | 7 | | 26 | 6 | | 27 | 9 | | 28 | 12 | | 29 | 28 | | 30 | 18 | | 31 | 20 | | 32 | 10 | | 33 | 9 | | 34 | 20 | | 35 | 24 | | 36 | 3 | | 37 | 15 | | 38 | 11 | | 39 | 2 | | 40 | 11 | | 41 | 18 | | 42 | 42 | | 43 | 8 | | 44 | 5 | | 45 | 33 | | 46 | 4 | | 47 | 50 | | 48 | 2 | | 49 | 4 |
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| 36.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2716049382716049 | | totalSentences | 81 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 56.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 76 | | matches | | 0 | "It had been doing that" | | 1 | "She came because she needed" | | 2 | "She came because the alternative" | | 3 | "She didn't walk into it" | | 4 | "She brushed one with the" | | 5 | "Their bark had the texture" | | 6 | "She turned to look at" | | 7 | "She pressed her palm against" | | 8 | "It came in counterpoint to" | | 9 | "They were talking to each" | | 10 | "She told herself she was" | | 11 | "She had not pictured standing" | | 12 | "She turned toward it so" | | 13 | "It didn't repeat." | | 14 | "Her voice came out thin," | | 15 | "She moved toward the way" | | 16 | "She'd walked through that gap" | | 17 | "She looked down at it," | | 18 | "She counted the oaks again:" | | 19 | "She counted the spaces between" |
| | ratio | 0.408 | |
| 58.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 76 | | matches | | 0 | "The pendant went warm against" | | 1 | "Rory froze with her fingers" | | 2 | "The deep crimson gem, thumbnail-small," | | 3 | "It had been doing that" | | 4 | "Every pulse pushed her a" | | 5 | "She came because she needed" | | 6 | "She came because the alternative" | | 7 | "The grove found her." | | 8 | "She didn't walk into it" | | 9 | "The wildflowers stopped her first." | | 10 | "A spread of them at" | | 11 | "She brushed one with the" | | 12 | "Their bark had the texture" | | 13 | "She turned to look at" | | 14 | "The pendant pulsed again." | | 15 | "She pressed her palm against" | | 16 | "It came in counterpoint to" | | 17 | "They were talking to each" | | 18 | "She told herself she was" | | 19 | "That was the word Eva" |
| | ratio | 0.803 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 76 | | matches | | 0 | "Because the pendant had arrived" | | 1 | "Because Eva wasn't answering her" | | 2 | "Because when she held the" |
| | ratio | 0.039 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "The deep crimson gem, thumbnail-small, pulsed once, twice, in time with something that wasn't her heartbeat." | | 1 | "It was no longer beneath her feet — it was at her ankles, rising up her shins, settling into the hollow of her pelvis like something getting comfortable." | | 2 | "It stood exactly where she had stood when she first entered the grove, looking at her with an expression of mild, patient inquiry, as if she had kept it waiting…" | | 3 | "It was a lure, and she had walked in carrying it willingly, and the path behind her was hawthorn, and the trees had faces, and the flowers were watching, and be…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Her voice came out, and the grove swallowed it" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |