| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 58.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1075 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "tightly" | | 1 | "softly" | | 2 | "gently" | | 3 | "slowly" | | 4 | "sharply" | | 5 | "completely" | | 6 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1075 | | totalAiIsms | 46 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | word | "down her spine" | | count | 1 |
| | 25 | | | 26 | | | 27 | |
| | highlights | | 0 | "footsteps" | | 1 | "chilling" | | 2 | "pulse" | | 3 | "stomach" | | 4 | "flicker" | | 5 | "tension" | | 6 | "silence" | | 7 | "whisper" | | 8 | "loomed" | | 9 | "sentinels" | | 10 | "pulsed" | | 11 | "warmth" | | 12 | "reminder" | | 13 | "anticipation" | | 14 | "scanning" | | 15 | "flickered" | | 16 | "unspoken" | | 17 | "dance" | | 18 | "fluttered" | | 19 | "fractured" | | 20 | "sinister" | | 21 | "raced" | | 22 | "pounding" | | 23 | "could feel" | | 24 | "down her spine" | | 25 | "flicked" | | 26 | "electric" | | 27 | "sense of" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "heart hammered in her chest" | | 1 | "eyes narrowed" | | 2 | "clenched her fists" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 78 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1060 | | ratio | 0 | | matches | (empty) | |
| 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 | 9 | | wordCount | 1060 | | uniqueNames | 7 | | maxNameDensity | 0.19 | | worstName | "Heartstone" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Heartstone" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Pendant | 2 | | Hel | 1 | | Grove | 1 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Grove" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed alive moving in the corners of her vision" | | 1 | "as if responding to an unseen presence" | | 2 | "t wildflowers, seemingly immune to the cold" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.83 | | wordCount | 1060 | | matches | | 0 | "not a word but a faint, sibilant hissing carried by the breeze" | | 1 | "not just stones, but anchors holding something ancient" | | 2 | "not at the edge anymore but right in front" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 77.26% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 42.4 | | std | 17.83 | | cv | 0.42 | | sampleLengths | | 0 | 66 | | 1 | 62 | | 2 | 57 | | 3 | 20 | | 4 | 63 | | 5 | 68 | | 6 | 51 | | 7 | 45 | | 8 | 36 | | 9 | 67 | | 10 | 34 | | 11 | 20 | | 12 | 58 | | 13 | 58 | | 14 | 18 | | 15 | 53 | | 16 | 31 | | 17 | 44 | | 18 | 32 | | 19 | 37 | | 20 | 36 | | 21 | 44 | | 22 | 44 | | 23 | 12 | | 24 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 50.19% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 178 | | matches | | 0 | "was happening" | | 1 | "was coiling" | | 2 | "was trying" | | 3 | "was calling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 2 | | flaggedSentences | 14 | | totalSentences | 78 | | ratio | 0.179 | | matches | | 0 | "She had come here under the guise of calm curiosity, but her stomach twisted with something sharper—an instinct she trusted more than any plan." | | 1 | "A rustle sounded from the underbrush to her left—just a flicker, enough to make her heart skip." | | 2 | "The legend of the Heartstone Pendant—an artifact pulsing with warmth near a Hel portal—offered her no illusions today." | | 3 | "Then, a whisper—not a word but a faint, sibilant hissing carried by the breeze." | | 4 | "The woods around her felt wrong—too still, yet heavy with unspoken secrets." | | 5 | "A faint movement caught her eye—a flicker at her peripheral vision, like a ripple in still water." | | 6 | "A slow, uneven sound emerged from the darkness—a low whisper twisted with a faint, gurgling undertone." | | 7 | "It was close; she could feel it in her bones, the same prickling sensation that ran up her neck when she was seconds from uncovering the truth." | | 8 | "The shadows flickered once more—this time with a flicker of movement, something deliberate." | | 9 | "Her gaze flicked to the standing stones, expecting the safety they promised—an invisible boundary that guaranteed the Grove’s respect." | | 10 | "Then, she saw it—a flicker of movement, not at the edge anymore but right in front." | | 11 | "The shadow shifted, a ripple across the darkness, and she caught the faintest hint of something resembling a smile—not human, not living." | | 12 | "A sharp, almost musical sound sliced into the silence—a chime, faint as glass breaking and yet perfectly pitched." | | 13 | "Her heart hammered in her chest; every instinct screamed to flee, but her mind refused the impulse." |
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| 87.49% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1075 | | adjectiveStacks | 1 | | stackExamples | | 0 | "damp, leaf-littered ground." |
| | adverbCount | 51 | | adverbRatio | 0.04744186046511628 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013023255813953489 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.59 | | std | 7.01 | | cv | 0.516 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 31 | | 3 | 15 | | 4 | 24 | | 5 | 23 | | 6 | 17 | | 7 | 20 | | 8 | 20 | | 9 | 12 | | 10 | 8 | | 11 | 13 | | 12 | 26 | | 13 | 24 | | 14 | 17 | | 15 | 19 | | 16 | 18 | | 17 | 14 | | 18 | 11 | | 19 | 13 | | 20 | 14 | | 21 | 13 | | 22 | 12 | | 23 | 2 | | 24 | 4 | | 25 | 27 | | 26 | 12 | | 27 | 3 | | 28 | 21 | | 29 | 16 | | 30 | 20 | | 31 | 3 | | 32 | 12 | | 33 | 16 | | 34 | 17 | | 35 | 8 | | 36 | 4 | | 37 | 5 | | 38 | 3 | | 39 | 11 | | 40 | 6 | | 41 | 16 | | 42 | 3 | | 43 | 12 | | 44 | 27 | | 45 | 9 | | 46 | 13 | | 47 | 29 | | 48 | 7 | | 49 | 12 |
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| 43.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.28205128205128205 | | totalSentences | 78 | | uniqueOpeners | 22 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 76 | | matches | | 0 | "Then, a whisper—not a word" | | 1 | "Maybe it was just her" | | 2 | "Definitely not wind." | | 3 | "Then, she saw it—a flicker" |
| | ratio | 0.053 | |
| 46.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 76 | | matches | | 0 | "She clutched the Heartstone Pendant" | | 1 | "She had come here under" | | 2 | "She froze, eyes darting through" | | 3 | "Her breath fogged in the" | | 4 | "She moved deeper, her boots" | | 5 | "Her ears strained for sound," | | 6 | "She looked down, half expecting" | | 7 | "It was a tether, a" | | 8 | "She turned her head slowly," | | 9 | "Her skin prickled." | | 10 | "She tightened her grip on" | | 11 | "Her eyes narrowed." | | 12 | "She turned sharply, trying to" | | 13 | "Her mind raced." | | 14 | "Her muscles tightened as she" | | 15 | "It was close; she could" | | 16 | "She stepped forward, cautious, her" | | 17 | "She caught a glimpse of" | | 18 | "It froze when her eyes" | | 19 | "She knew she was not" |
| | ratio | 0.434 | |
| 52.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 76 | | matches | | 0 | "Aurora Carter slipped through the" | | 1 | "Night cloaked the ancient oak" | | 2 | "The air was still, heavy" | | 3 | "She clutched the Heartstone Pendant" | | 4 | "She had come here under" | | 5 | "The curse of her quick" | | 6 | "A rustle sounded from the" | | 7 | "She froze, eyes darting through" | | 8 | "Her breath fogged in the" | | 9 | "The grove felt alive tonight," | | 10 | "Something was different, waiting, just" | | 11 | "She moved deeper, her boots" | | 12 | "Her ears strained for sound," | | 13 | "The ancient oak standing stones" | | 14 | "The faint glow of her" | | 15 | "She looked down, half expecting" | | 16 | "The legend of the Heartstone" | | 17 | "It was a tether, a" | | 18 | "A sudden, almost imperceptible shift" | | 19 | "The silence stretched longer, as" |
| | ratio | 0.816 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 76 | | matches | | 0 | "Now, she saw how the" | | 1 | "As if they were not" |
| | ratio | 0.026 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "The air was still, heavy with the scent of moss and wildflowers that thrived year-round despite the chilling wind, as if the grove refused to be touched by the …" | | 1 | "The silence stretched longer, as if anticipation was coiling tight inside the grove." | | 2 | "She tightened her grip on the chain of her pendant, sensing it tug gently, as if responding to an unseen presence." | | 3 | "Her gaze flicked to the standing stones, expecting the safety they promised—an invisible boundary that guaranteed the Grove’s respect." | | 4 | "As if they were not just stones, but anchors holding something ancient and malevolent." | | 5 | "She could feel eyes on her, penetrating her skin, drilling into her bones." | | 6 | "Her fingers brushed the scar on her wrist, a small reminder of childhood accidents, scars that carried more than just memories." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |