| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1387 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1387 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "down her spine" | | count | 1 |
| | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "traced" | | 1 | "stark" | | 2 | "pulsed" | | 3 | "throb" | | 4 | "warmth" | | 5 | "silence" | | 6 | "sentinel" | | 7 | "perfect" | | 8 | "pristine" | | 9 | "pulse" | | 10 | "quickened" | | 11 | "depths" | | 12 | "oppressive" | | 13 | "flicker" | | 14 | "echo" | | 15 | "down her spine" | | 16 | "raced" | | 17 | "whisper" | | 18 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 155 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 155 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | 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 | 2 | | markdownWords | 6 | | totalWords | 1372 | | ratio | 0.004 | | matches | | 0 | "He knows." | | 1 | "Time moves differently here." |
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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 | 18 | | wordCount | 1347 | | uniqueNames | 8 | | maxNameDensity | 0.52 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Richmond | 1 | | Park | 1 | | October | 1 | | British | 1 | | Evan | 3 | | Rory | 7 | | Yu-Fei | 1 |
| | persons | | | places | | 0 | "Heartstone" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 2.915 | | wordCount | 1372 | | matches | | 0 | "Not the quiet of an empty park, but the stifling, watchful silence of a held breath" | | 1 | "Not in the woods, but within the circle itself" | | 2 | "not a sound but a sensation, dry" | | 3 | "not at the creature, but in a high arc towards the far side of the clearing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 36.11 | | std | 25.01 | | cv | 0.693 | | sampleLengths | | 0 | 4 | | 1 | 62 | | 2 | 80 | | 3 | 83 | | 4 | 72 | | 5 | 25 | | 6 | 14 | | 7 | 3 | | 8 | 33 | | 9 | 7 | | 10 | 78 | | 11 | 77 | | 12 | 37 | | 13 | 3 | | 14 | 60 | | 15 | 84 | | 16 | 23 | | 17 | 57 | | 18 | 22 | | 19 | 3 | | 20 | 30 | | 21 | 13 | | 22 | 69 | | 23 | 37 | | 24 | 52 | | 25 | 10 | | 26 | 31 | | 27 | 22 | | 28 | 37 | | 29 | 34 | | 30 | 26 | | 31 | 11 | | 32 | 42 | | 33 | 25 | | 34 | 45 | | 35 | 33 | | 36 | 11 | | 37 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 155 | | matches | | 0 | "being pulled" | | 1 | "was interested" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 215 | | matches | | 0 | "was deafening" | | 1 | "was fraying" | | 2 | "was looking" |
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| 88.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 159 | | ratio | 0.019 | | matches | | 0 | "They formed a perfect boundary, their trunks fused together in places, bark smooth as skin where something—or someone—had rubbed against them for centuries." | | 1 | "It didn’t run; it simply ceased to be in one place and appeared in the other, its long fingers closing around the pendant mid-air." | | 2 | "The moment it touched the stone, a sound ripped through the grove—a high, shrill shriek of tearing reality." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1362 | | adjectiveStacks | 1 | | stackExamples | | 0 | "smooth, crescent-shaped scar" |
| | adverbCount | 41 | | adverbRatio | 0.03010279001468429 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008076358296622614 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 8.63 | | std | 6.24 | | cv | 0.724 | | sampleLengths | | 0 | 4 | | 1 | 18 | | 2 | 19 | | 3 | 19 | | 4 | 4 | | 5 | 2 | | 6 | 28 | | 7 | 17 | | 8 | 15 | | 9 | 4 | | 10 | 16 | | 11 | 16 | | 12 | 23 | | 13 | 12 | | 14 | 10 | | 15 | 9 | | 16 | 13 | | 17 | 11 | | 18 | 15 | | 19 | 14 | | 20 | 4 | | 21 | 1 | | 22 | 6 | | 23 | 17 | | 24 | 4 | | 25 | 13 | | 26 | 12 | | 27 | 10 | | 28 | 4 | | 29 | 3 | | 30 | 4 | | 31 | 9 | | 32 | 10 | | 33 | 4 | | 34 | 4 | | 35 | 2 | | 36 | 3 | | 37 | 2 | | 38 | 2 | | 39 | 9 | | 40 | 21 | | 41 | 6 | | 42 | 10 | | 43 | 13 | | 44 | 19 | | 45 | 21 | | 46 | 2 | | 47 | 1 | | 48 | 4 | | 49 | 4 |
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| 40.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.32075471698113206 | | totalSentences | 159 | | uniqueOpeners | 51 | |
| 78.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 127 | | matches | | 0 | "Just an animal." | | 1 | "Only the sound of her" | | 2 | "Just petals trembling in a" |
| | ratio | 0.024 | |
| 75.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 127 | | matches | | 0 | "It pulsed, a slow, dull" | | 1 | "She’d followed the pendant’s pull" | | 2 | "It was silent, too." | | 3 | "They formed a perfect boundary," | | 4 | "She stepped between two of" | | 5 | "She walked to the centre," | | 6 | "she whispered, the sound swallowed" | | 7 | "It came from the tree" | | 8 | "It was the silence of" | | 9 | "She held her breath, ears" | | 10 | "She forced herself to take" | | 11 | "Her head snapped towards it." | | 12 | "Her voice sounded thin, childish." | | 13 | "Her phone was in her" | | 14 | "She didn’t need to check" | | 15 | "It came from behind her." | | 16 | "She turned again, slower this" | | 17 | "She’d been working doubles for" | | 18 | "It wasn’t loud, but it" | | 19 | "She turned a full circle," |
| | ratio | 0.362 | |
| 38.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 127 | | matches | | 0 | "The stone was warm." | | 1 | "Rory’s thumb traced the smooth," | | 2 | "The sensation was a stark" | | 3 | "It pulsed, a slow, dull" | | 4 | "This was the place." | | 5 | "She’d followed the pendant’s pull" | | 6 | "The air had changed a" | | 7 | "It was silent, too." | | 8 | "The standing stones appeared through" | | 9 | "They formed a perfect boundary," | | 10 | "She stepped between two of" | | 11 | "The air itself felt heavy," | | 12 | "An hour inside could be" | | 13 | "Eva’s frantic texts about her" | | 14 | "The clearing was a perfect" | | 15 | "Starlight, impossibly bright, silvered the" | | 16 | "Foxgloves stood like purple spires" | | 17 | "Everything was pristine, untouched." | | 18 | "That was the first wrong" | | 19 | "This place was immaculate." |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 4 | | matches | | 0 | "It pulsed, a slow, dull throb of warmth that felt less like a warning and more like a beckoning." | | 1 | "Starlight, impossibly bright, silvered the petals of flowers that had no business flowering in October." | | 2 | "It unfolded, rising to a height that made her neck crane." | | 3 | "The air hummed with a low, sub-audible frequency that made her teeth ache." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady despite the tremor in her hands" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.5 | | effectiveRatio | 0.286 | |