| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1304 | | 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) | |
| 46.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1304 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "throb" | | 3 | "silence" | | 4 | "traced" | | 5 | "vibrated" | | 6 | "footsteps" | | 7 | "weight" | | 8 | "stomach" | | 9 | "whisper" | | 10 | "pulse" | | 11 | "shattered" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1283 | | uniqueNames | 5 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | November | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Rory | 11 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.767 | | wordCount | 1304 | | matches | | 0 | "not sharp, but definite" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 39.52 | | std | 33.37 | | cv | 0.845 | | sampleLengths | | 0 | 116 | | 1 | 85 | | 2 | 19 | | 3 | 9 | | 4 | 70 | | 5 | 1 | | 6 | 51 | | 7 | 46 | | 8 | 2 | | 9 | 25 | | 10 | 41 | | 11 | 3 | | 12 | 77 | | 13 | 4 | | 14 | 85 | | 15 | 2 | | 16 | 7 | | 17 | 68 | | 18 | 8 | | 19 | 94 | | 20 | 3 | | 21 | 64 | | 22 | 96 | | 23 | 17 | | 24 | 1 | | 25 | 69 | | 26 | 26 | | 27 | 42 | | 28 | 39 | | 29 | 33 | | 30 | 60 | | 31 | 38 | | 32 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 134 | | matches | | 0 | "was gone" | | 1 | "been unbroken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 615 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.027642276422764227 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004878048780487805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 9.31 | | std | 7.71 | | cv | 0.828 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 39 | | 3 | 14 | | 4 | 3 | | 5 | 5 | | 6 | 13 | | 7 | 21 | | 8 | 4 | | 9 | 19 | | 10 | 23 | | 11 | 5 | | 12 | 13 | | 13 | 4 | | 14 | 10 | | 15 | 5 | | 16 | 2 | | 17 | 5 | | 18 | 2 | | 19 | 3 | | 20 | 20 | | 21 | 8 | | 22 | 4 | | 23 | 9 | | 24 | 5 | | 25 | 9 | | 26 | 12 | | 27 | 1 | | 28 | 9 | | 29 | 3 | | 30 | 15 | | 31 | 8 | | 32 | 16 | | 33 | 6 | | 34 | 14 | | 35 | 9 | | 36 | 17 | | 37 | 2 | | 38 | 3 | | 39 | 22 | | 40 | 4 | | 41 | 3 | | 42 | 4 | | 43 | 2 | | 44 | 11 | | 45 | 2 | | 46 | 2 | | 47 | 13 | | 48 | 3 | | 49 | 18 |
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| 47.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3381294964028777 | | totalSentences | 139 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 118 | | matches | | 0 | "Just the wet sound of" | | 1 | "Then to forty-five." | | 2 | "Then it shifted." | | 3 | "Then something darker." | | 4 | "Then it blazed, hot enough" | | 5 | "Then she stopped counting because" | | 6 | "Then the figure smiled." |
| | ratio | 0.059 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 118 | | matches | | 0 | "She had followed the pendant's" | | 1 | "She pushed the cuff back." | | 2 | "Her voice sounded small, a" | | 3 | "She moved forward." | | 4 | "She glanced at her phone." | | 5 | "She walked ten paces, boots" | | 6 | "She shoved the device into" | | 7 | "Her heart knocked against her" | | 8 | "She looked directly at them." | | 9 | "She looked away." | | 10 | "Her flat above" | | 11 | "She backed toward the nearest" | | 12 | "She didn't remember lifting her" | | 13 | "It dredged up the gesture" | | 14 | "It had her height." | | 15 | "Her straight, shoulder-length black hair." | | 16 | "It wore a silhouette that" | | 17 | "It did not move when" | | 18 | "It watched, head tilted at" | | 19 | "They sighed, a thousand petals" |
| | ratio | 0.271 | |
| 65.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 118 | | matches | | 0 | "Rory's breath misted in the" | | 1 | "Richmond Park stretched behind her," | | 2 | "She had followed the pendant's" | | 3 | "Wildflowers carpeted the ground." | | 4 | "Poppies and bluebells and clusters" | | 5 | "Rory's fingers found the crescent" | | 6 | "She pushed the cuff back." | | 7 | "The pale line had flushed" | | 8 | "Her voice sounded small, a" | | 9 | "That should have comforted her." | | 10 | "She moved forward." | | 11 | "The grass gave beneath her" | | 12 | "A foxglove brushed her knee," | | 13 | "The blossom was warm." | | 14 | "She glanced at her phone." | | 15 | "The screen read 12:04, the" | | 16 | "She walked ten paces, boots" | | 17 | "The battery icon dropped from" | | 18 | "The digits swam, rearranging themselves" | | 19 | "She shoved the device into" |
| | ratio | 0.788 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "Now the heat bordered on" |
| | ratio | 0.008 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 12 | | matches | | 0 | "She had followed the pendant's warmth across the park for twenty minutes, the silver chain digging a faint line against her collarbone as the crimson gem pulsed…" | | 1 | "Ancient oaks formed a ring around the clearing ahead, their trunks twisted into shapes that resembled standing stones more than wood." | | 2 | "Rory's fingers found the crescent scar on her left wrist, a childhood souvenir from a broken fence rail that itched beneath her sleeve." | | 3 | "The grass gave beneath her boots with a wet sound that didn't match the dry autumn she had left behind." | | 4 | "Shadows pooled there, thick and absolute, a darkness that drank the faint red glow of her pendant." | | 5 | "It wore a silhouette that matched her own jacket, her own posture, the same slight lean to the left she adopted when her lower back ached from lifting delivery …" | | 6 | "It watched, head tilted at an angle that made her neck ache to imagine." | | 7 | "The figure's face remained smooth, featureless, a smudge of pale nothing where features should have been, as if someone had erased her reflection with a thumb." | | 8 | "Ice formed against her sternum, biting through cotton and skin, crystallizing in the hollow of her throat." | | 9 | "Oak-stone after oak-stone circled her, an unbroken boundary that hadn't been unbroken when she arrived." | | 10 | "A crescent-shaped scar marked the pale skin, identical to hers, except the edges wept dark fluid that pattered onto the wildflowers." | | 11 | "It had no face, but it smiled, and the expression twisted her own muscles, her own cheeks stretching, her own lips peeling back from her teeth in a rictus that …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "it said again, and the voice was hers, but filtered through water, through roots, through the long dark of buried things" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |