| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 71.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1039 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "very" | | 3 | "perfectly" |
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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) | |
| 56.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1039 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "firmly" | | 1 | "warmth" | | 2 | "pulsed" | | 3 | "weight" | | 4 | "sense of" | | 5 | "measured" | | 6 | "standard" | | 7 | "could feel" | | 8 | "footsteps" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 1009 | | uniqueNames | 4 | | maxNameDensity | 0.59 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | November | 1 | | Eva | 4 | | Movement | 1 | | Rory | 6 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like if she turned around" |
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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 | 1048 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 24.37 | | std | 21.02 | | cv | 0.862 | | sampleLengths | | 0 | 19 | | 1 | 47 | | 2 | 7 | | 3 | 34 | | 4 | 14 | | 5 | 42 | | 6 | 42 | | 7 | 6 | | 8 | 46 | | 9 | 2 | | 10 | 19 | | 11 | 6 | | 12 | 1 | | 13 | 56 | | 14 | 3 | | 15 | 32 | | 16 | 4 | | 17 | 7 | | 18 | 42 | | 19 | 1 | | 20 | 28 | | 21 | 22 | | 22 | 34 | | 23 | 37 | | 24 | 4 | | 25 | 51 | | 26 | 24 | | 27 | 29 | | 28 | 6 | | 29 | 88 | | 30 | 9 | | 31 | 31 | | 32 | 12 | | 33 | 29 | | 34 | 4 | | 35 | 67 | | 36 | 5 | | 37 | 3 | | 38 | 66 | | 39 | 4 | | 40 | 40 | | 41 | 9 | | 42 | 16 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 102 | | matches | | 0 | "been seven" | | 1 | "being weighed" | | 2 | "been told" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 171 | | matches | | 0 | "were blooming" | | 1 | "were trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 107 | | ratio | 0.084 | | matches | | 0 | "That was how it felt — a long, slow exhalation pressed against her skin, warm where the park behind her had been cold." | | 1 | "Wildflowers nodded around her ankles — foxgloves, cornflowers, something pale and bell-shaped she didn't know the name of." | | 2 | "The air tasted the same — that strange sweetness she remembered, half honey, half iron." | | 3 | "The sound had been soft — three notes, low in the throat, the kind of laugh you gave someone across a pillow." | | 4 | "Closer this time, or maybe further — the grove played tricks with distance the way it played tricks with time." | | 5 | "She slid her gaze sideways instead, and caught — something." | | 6 | "That was the only way she could describe the weight that settled on her shoulders then — the sense of being weighed, measured, held up against some standard she hadn't been told." | | 7 | "Footsteps — soft, deliberate, the pad of something walking on two feet that had perhaps been four not long ago." | | 8 | "Not warm, not pulsing — cold, a sudden bright coldness that bit through the wool and into her skin like a coin left on ice." |
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| 86.10% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1002 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.05588822355289421 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013972055888223553 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 9.79 | | std | 8.81 | | cv | 0.9 | | sampleLengths | | 0 | 19 | | 1 | 8 | | 2 | 23 | | 3 | 16 | | 4 | 3 | | 5 | 4 | | 6 | 7 | | 7 | 14 | | 8 | 10 | | 9 | 2 | | 10 | 1 | | 11 | 7 | | 12 | 7 | | 13 | 15 | | 14 | 18 | | 15 | 5 | | 16 | 4 | | 17 | 4 | | 18 | 4 | | 19 | 33 | | 20 | 1 | | 21 | 6 | | 22 | 6 | | 23 | 15 | | 24 | 7 | | 25 | 18 | | 26 | 2 | | 27 | 6 | | 28 | 2 | | 29 | 6 | | 30 | 4 | | 31 | 1 | | 32 | 6 | | 33 | 1 | | 34 | 4 | | 35 | 52 | | 36 | 3 | | 37 | 12 | | 38 | 20 | | 39 | 3 | | 40 | 1 | | 41 | 7 | | 42 | 4 | | 43 | 22 | | 44 | 16 | | 45 | 1 | | 46 | 2 | | 47 | 3 | | 48 | 23 | | 49 | 4 |
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| 61.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4485981308411215 | | totalSentences | 107 | | uniqueOpeners | 48 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Somewhere in the trees, a" | | 1 | "Even her own heartbeat seemed" |
| | ratio | 0.024 | |
| 74.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 85 | | matches | | 0 | "She stopped three paces inside" | | 1 | "She pressed her palm flat" | | 2 | "They shouldn't have been blooming." | | 3 | "They were blooming anyway." | | 4 | "She'd come for answers." | | 5 | "She couldn't place it at" | | 6 | "She counted again to be" | | 7 | "Her mouth went dry." | | 8 | "She counted a third time," | | 9 | "She sat down." | | 10 | "She pulled her knees up," | | 11 | "It came from her left," | | 12 | "She picked it up." | | 13 | "She dropped it." | | 14 | "She tried the name Eva" | | 15 | "She felt it through her" | | 16 | "She did not want to" | | 17 | "She stepped away from it" | | 18 | "She looked down and caught" | | 19 | "She didn't turn her head." |
| | ratio | 0.365 | |
| 54.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 85 | | matches | | 0 | "Rory ducked between the oak" | | 1 | "The grove took her in" | | 2 | "That was how it felt" | | 3 | "She stopped three paces inside" | | 4 | "The pendant answered before anyone" | | 5 | "A flutter of heat against" | | 6 | "She pressed her palm flat" | | 7 | "Eva had sworn the grove" | | 8 | "Eva had sworn a lot" | | 9 | "Rory moved deeper, boots soundless" | | 10 | "Wildflowers nodded around her ankles" | | 11 | "They shouldn't have been blooming." | | 12 | "They were blooming anyway." | | 13 | "She'd come for answers." | | 14 | "That was the plan." | | 15 | "She couldn't place it at" | | 16 | "The air tasted the same" | | 17 | "The stones stood where they'd" | | 18 | "The moon, when she looked" | | 19 | "Rory turned a slow circle," |
| | ratio | 0.812 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "Rory moved deeper, boots soundless on moss that shouldn't have been this green in November." | | 1 | "She pulled her knees up, tucked her hands inside her sleeves against the cold that wasn't actually there, and waited." | | 2 | "That was the only way she could describe the weight that settled on her shoulders then — the sense of being weighed, measured, held up against some standard she…" | | 3 | "Even her own heartbeat seemed to quiet, as though it were trying not to be overheard." | | 4 | "Footsteps — soft, deliberate, the pad of something walking on two feet that had perhaps been four not long ago." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |