| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.5 | | effectiveRatio | 0.286 | |
| 94.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 868 | | 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) | |
| 42.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 868 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "loomed" | | 1 | "perfect" | | 2 | "chill" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "whisper" | | 6 | "pulse" | | 7 | "trembled" | | 8 | "silence" | | 9 | "gleaming" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 23 | | totalWords | 861 | | ratio | 0.027 | | matches | | 0 | "pulled" | | 1 | "give" | | 2 | "knew" | | 3 | "“Laila.”" | | 4 | "knew" | | 5 | "Unzipped." | | 6 | "pushed" | | 7 | "Black." | | 8 | "“You came back.”" | | 9 | "“You promised.”" | | 10 | "darkness" | | 11 | "Laila." | | 12 | "“You left me.”" | | 13 | "“Now you have to stay.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 844 | | uniqueNames | 7 | | maxNameDensity | 0.95 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 8 | | Richmond | 1 | | Park | 1 | | October | 1 | | Heartstone | 1 | | English | 1 | | Like | 2 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | |
| 83.86% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.161 | | wordCount | 861 | | matches | | 0 | "Not the give of soil, but the *give* of something alive" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 101 | | matches | | 0 | "knew* that name" | | 1 | "heard that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 20.5 | | std | 20.48 | | cv | 0.999 | | sampleLengths | | 0 | 70 | | 1 | 64 | | 2 | 20 | | 3 | 59 | | 4 | 8 | | 5 | 13 | | 6 | 70 | | 7 | 24 | | 8 | 42 | | 9 | 11 | | 10 | 49 | | 11 | 3 | | 12 | 1 | | 13 | 1 | | 14 | 3 | | 15 | 41 | | 16 | 5 | | 17 | 15 | | 18 | 11 | | 19 | 1 | | 20 | 5 | | 21 | 10 | | 22 | 46 | | 23 | 20 | | 24 | 3 | | 25 | 19 | | 26 | 3 | | 27 | 40 | | 28 | 14 | | 29 | 3 | | 30 | 3 | | 31 | 30 | | 32 | 2 | | 33 | 40 | | 34 | 6 | | 35 | 42 | | 36 | 1 | | 37 | 12 | | 38 | 3 | | 39 | 28 | | 40 | 5 | | 41 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 135 | | matches | | 0 | "was trying" | | 1 | "was being" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 101 | | ratio | 0.089 | | matches | | 0 | "She hadn’t asked for it—hadn’t even known it existed until the envelope arrived, slipped under her flat door three nights ago." | | 1 | "They shouldn’t have been visible from the path—she’d walked this route a dozen times before, and the grove had always been just another patch of trees." | | 2 | "The stone had led her here—had *pulled* her here, if she was being honest." | | 3 | "A voice, too low to make out words, but the cadence was wrong—like English spoken backward, or a record played at the wrong speed." | | 4 | "Then—" | | 5 | "Then, from the other side of the tree, a voice—soft, singsong:" | | 6 | "The giggling grew louder, closer, and then—" | | 7 | "Images flashed behind her eyes—memories that weren’t hers." | | 8 | "The pendant flared one last time—brilliant, blinding—before the darkness swallowed it whole." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 851 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03407755581668625 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011750881316098707 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 8.52 | | std | 6.6 | | cv | 0.774 | | sampleLengths | | 0 | 17 | | 1 | 21 | | 2 | 15 | | 3 | 17 | | 4 | 14 | | 5 | 26 | | 6 | 16 | | 7 | 8 | | 8 | 15 | | 9 | 5 | | 10 | 8 | | 11 | 16 | | 12 | 25 | | 13 | 10 | | 14 | 8 | | 15 | 2 | | 16 | 11 | | 17 | 10 | | 18 | 4 | | 19 | 14 | | 20 | 28 | | 21 | 14 | | 22 | 11 | | 23 | 11 | | 24 | 2 | | 25 | 6 | | 26 | 3 | | 27 | 3 | | 28 | 24 | | 29 | 6 | | 30 | 5 | | 31 | 3 | | 32 | 3 | | 33 | 3 | | 34 | 3 | | 35 | 5 | | 36 | 13 | | 37 | 10 | | 38 | 15 | | 39 | 3 | | 40 | 1 | | 41 | 1 | | 42 | 3 | | 43 | 2 | | 44 | 1 | | 45 | 10 | | 46 | 22 | | 47 | 3 | | 48 | 1 | | 49 | 2 |
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| 37.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.31683168316831684 | | totalSentences | 101 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 81 | | matches | | 0 | "Just the rustle of leaves" | | 1 | "Just the trees, the grass," | | 2 | "Then, from the other side" |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 81 | | matches | | 0 | "She hadn’t asked for it—hadn’t" | | 1 | "They shouldn’t have been visible" | | 2 | "She stepped forward, boots sinking" | | 3 | "Her voice sounded too loud," | | 4 | "She’d come for answers." | | 5 | "She took another step, and" | | 6 | "Her pulse hammered in her" | | 7 | "She should run." | | 8 | "She *knew* she should run." | | 9 | "She fumbled with the chain," | | 10 | "Her voice cracked" | | 11 | "Her blood turned to ice." | | 12 | "It had been her mother’s" | | 13 | "She hadn’t heard that name" | | 14 | "She landed on all fours," | | 15 | "Her eyes were black." | | 16 | "She hit the ground hard," |
| | ratio | 0.21 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 81 | | matches | | 0 | "The pendant burned against Aurora’s" | | 1 | "She hadn’t asked for it—hadn’t" | | 2 | "The standing stones loomed ahead," | | 3 | "They shouldn’t have been visible" | | 4 | "The wrongness of it prickled" | | 5 | "She stepped forward, boots sinking" | | 6 | "The trees swallowed her whole." | | 7 | "The clearing opened up like" | | 8 | "A perfect circle of grass," | | 9 | "The Heartstone pulsed harder, its" | | 10 | "Her voice sounded too loud," | | 11 | "Aurora exhaled, forcing her fingers" | | 12 | "She’d come for answers." | | 13 | "The stone had led her" | | 14 | "The way it had thrummed" | | 15 | "She took another step, and" | | 16 | "A whisper slithered through the" | | 17 | "A voice, too low to" | | 18 | "Her pulse hammered in her" | | 19 | "The silver birch’s branches trembled." |
| | ratio | 0.778 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 81 | | matches | | 0 | "Now, standing at the edge" | | 1 | "Before the doctors and the" |
| | ratio | 0.025 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 1 | | matches | | 0 | "At its center stood a single silver birch, its bark peeling in delicate curls, as if the tree itself was trying to shed its skin." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |