| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1312 | | totalAiIsmAdverbs | 2 | | 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) | |
| 8.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1312 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "furrowed" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "flicked" | | 4 | "pulsed" | | 5 | "echoed" | | 6 | "silence" | | 7 | "scanned" | | 8 | "mechanical" | | 9 | "resolved" | | 10 | "searing" | | 11 | "stark" | | 12 | "analyzed" | | 13 | "stomach" | | 14 | "weight" | | 15 | "warmth" | | 16 | "predictable" | | 17 | "shimmered" | | 18 | "predator" | | 19 | "chilled" |
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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 | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 16 | | totalWords | 1311 | | ratio | 0.012 | | matches | | 0 | "Follow the heat to the door," | | 1 | "Find the Hel." | | 2 | "Focus." | | 3 | "Snap." | | 4 | "Snap." | | 5 | "Want... this..." | | 6 | "Thump-thump. Thump-thump." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1308 | | uniqueNames | 9 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Thames | 1 | | Heartstone | 4 | | English | 1 | | Evan | 2 | | Time | 1 | | Rory | 14 | | Hel | 3 | | Carter | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Rory" | | 3 | "Carter" |
| | places | | | globalScore | 0.965 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like words just beyond comprehensi" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.763 | | wordCount | 1311 | | matches | | 0 | "not with violence, but with a terrible, intimate stillness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 127 | | matches | | 0 | "lectures that dragged" | | 1 | "breathed, that watched" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 46.82 | | std | 34.87 | | cv | 0.745 | | sampleLengths | | 0 | 105 | | 1 | 20 | | 2 | 104 | | 3 | 93 | | 4 | 92 | | 5 | 8 | | 6 | 63 | | 7 | 1 | | 8 | 28 | | 9 | 1 | | 10 | 38 | | 11 | 70 | | 12 | 3 | | 13 | 59 | | 14 | 62 | | 15 | 8 | | 16 | 93 | | 17 | 22 | | 18 | 16 | | 19 | 48 | | 20 | 2 | | 21 | 29 | | 22 | 58 | | 23 | 71 | | 24 | 47 | | 25 | 2 | | 26 | 95 | | 27 | 73 |
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| 99.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 127 | | matches | | 0 | "been locked" | | 1 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 221 | | matches | | 0 | "was listening" | | 1 | "was learning" | | 2 | "was reacting" | | 3 | "wasn't just reacting" | | 4 | "wasn't attacking" | | 5 | "was herding" | | 6 | "wasn't leaving" |
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| 7.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 5 | | flaggedSentences | 6 | | totalSentences | 127 | | ratio | 0.047 | | matches | | 0 | "The rustling of the leaves, the faint hum of the flowers, the distant creak of the oaks—all of it cut out in a single instant." | | 1 | "The pendant wasn't just reacting to proximity; it was reacting to attention." | | 2 | "It didn't walk; it flowed, limbs elongating and folding in ways that made Rory's stomach turn." | | 3 | "The benefactor hadn't given her a key; they had given her a lure." | | 4 | "The stones weren't just markers; they were walls." | | 5 | "The flowers weren't just decoration; they were sensors." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1315 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 33 | | adverbRatio | 0.025095057034220533 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006083650190114068 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.32 | | std | 8.02 | | cv | 0.776 | | sampleLengths | | 0 | 26 | | 1 | 24 | | 2 | 7 | | 3 | 27 | | 4 | 21 | | 5 | 20 | | 6 | 19 | | 7 | 15 | | 8 | 7 | | 9 | 42 | | 10 | 18 | | 11 | 3 | | 12 | 5 | | 13 | 4 | | 14 | 17 | | 15 | 16 | | 16 | 13 | | 17 | 22 | | 18 | 2 | | 19 | 7 | | 20 | 7 | | 21 | 4 | | 22 | 8 | | 23 | 25 | | 24 | 5 | | 25 | 9 | | 26 | 10 | | 27 | 4 | | 28 | 17 | | 29 | 3 | | 30 | 7 | | 31 | 8 | | 32 | 2 | | 33 | 4 | | 34 | 25 | | 35 | 18 | | 36 | 14 | | 37 | 1 | | 38 | 9 | | 39 | 4 | | 40 | 3 | | 41 | 5 | | 42 | 7 | | 43 | 1 | | 44 | 8 | | 45 | 6 | | 46 | 8 | | 47 | 1 | | 48 | 9 | | 49 | 3 |
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| 36.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.33070866141732286 | | totalSentences | 127 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 115 | | matches | | 0 | "Instead, the air in the" | | 1 | "Then, from the darkness between" | | 2 | "Slowly, the flowers around the" | | 3 | "Then, from the darkness behind" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 115 | | matches | | 0 | "It was the smell of" | | 1 | "She hadn't come here for" | | 2 | "She had come because three" | | 3 | "She flicked her flashlight off." | | 4 | "She didn't need it." | | 5 | "They bloomed in riotous profusion," | | 6 | "It only cared about its" | | 7 | "She tapped the glass, a" | | 8 | "She had to move fast," | | 9 | "Her father had taught her" | | 10 | "She survived by seeing what" | | 11 | "It was the clean break" | | 12 | "She held her breath, counting" | | 13 | "It was here." | | 14 | "She forced her breathing to" | | 15 | "Her heart hammered a frantic" | | 16 | "She analyzed the anomalies." | | 17 | "It was tall, gaunt, and" | | 18 | "It didn't walk; it flowed," | | 19 | "It had no face, just" |
| | ratio | 0.278 | |
| 33.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 115 | | matches | | 0 | "The ancient oaks twisted into" | | 1 | "Rory stood just inside the" | | 2 | "Richmond Park should have been" | | 3 | "The gates would be chained," | | 4 | "It was the smell of" | | 5 | "Rory kept her hand pressed" | | 6 | "The pendant sat hidden beneath" | | 7 | "She hadn't come here for" | | 8 | "She had come because three" | | 9 | "She flicked her flashlight off." | | 10 | "She didn't need it." | | 11 | "The grove provided its own" | | 12 | "Foxgloves the size of dinner" | | 13 | "Violets pulsed with a faint," | | 14 | "They bloomed in riotous profusion," | | 15 | "Isolde's grove didn't care about" | | 16 | "It only cared about its" | | 17 | "Rory checked her watch." | | 18 | "The second hand stuttered, jumped" | | 19 | "She tapped the glass, a" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 12 | | matches | | 0 | "Rory stood just inside the circle of stones, her boots sinking into moss that felt too soft, too warm, like flesh beneath heavy fabric." | | 1 | "Instead, the air in the grove was thick and humid, carrying a cloying sweetness that coated the back of her throat." | | 2 | "She had come because three nights ago, the deep crimson gem had begun to burn when she walked her delivery route past the park entrance, and ever since, the pul…" | | 3 | "The grove provided its own light, a sickly luminescence bleeding from the wildflowers that defied the season." | | 4 | "They bloomed in riotous profusion, crowding the base of the oaks, their roots weaving through soil that glistened with an oily sheen." | | 5 | "But the wrongness lingered, a vibration in the air that made the fine hairs on her arms stand erect." | | 6 | "The crimson light intensified, casting stark red shadows that made the grove look like a flayed thing." | | 7 | "It didn't walk; it flowed, limbs elongating and folding in ways that made Rory's stomach turn." | | 8 | "The joints bent in directions that spoke of too many bones, or no bones at all." | | 9 | "The wildflowers nearest it wilted, their vibrant colors draining to ash-gray, curling inward as if in reverence." | | 10 | "The space warped, revealing angles that hurt her eyes, a tear in reality that promised a cold, metallic void on the other side." | | 11 | "The entity extended a limb, a tendril of darkness that hovered inches from her face." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Rory whispered (whisper)" |
| | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |