| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2412 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "softly" | | 3 | "suddenly" | | 4 | "completely" |
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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) | |
| 44.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2412 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "pulse" | | 1 | "measured" | | 2 | "familiar" | | 3 | "vibrated" | | 4 | "trembled" | | 5 | "resolved" | | 6 | "flickered" | | 7 | "stomach" | | 8 | "whisper" | | 9 | "rhythmic" | | 10 | "synchronized" | | 11 | "echoed" | | 12 | "weight" | | 13 | "searing" | | 14 | "tension" | | 15 | "perfect" | | 16 | "cacophony" | | 17 | "pounding" | | 18 | "throbbed" | | 19 | "footfall" | | 20 | "footsteps" | | 21 | "echo" |
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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 | 248 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 248 | | filterMatches | (empty) | | hedgeMatches | | 0 | "tried to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 248 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 2412 | | ratio | 0 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 2402 | | uniqueNames | 16 | | maxNameDensity | 0.75 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | October | 1 | | Heartstone | 2 | | London | 3 | | Richmond | 4 | | Park | 4 | | Pre-Law | 1 | | Evan | 7 | | Silas | 2 | | Drawn | 1 | | Cardiff | 1 | | Carter | 1 | | Rory | 1 | | Aurora | 18 | | Wet | 3 | | Looking | 3 | | Had | 3 |
| | persons | | 0 | "Evan" | | 1 | "Silas" | | 2 | "Drawn" | | 3 | "Carter" | | 4 | "Rory" | | 5 | "Aurora" | | 6 | "Looking" | | 7 | "Had" |
| | places | | 0 | "Heartstone" | | 1 | "London" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 164 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like normal stone again" | | 1 | "shadows that seemed to chase her independently" | | 2 | "felt like it was splitting open again," |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.829 | | wordCount | 2412 | | matches | | 0 | "Not from any single direction but from everywhere at once" | | 1 | "Not from fear but from pure defiance, the same sound she had made the night sh" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 248 | | matches | | 0 | "whispered that this" | | 1 | "told that part" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 32.59 | | std | 16.77 | | cv | 0.515 | | sampleLengths | | 0 | 71 | | 1 | 65 | | 2 | 65 | | 3 | 5 | | 4 | 34 | | 5 | 28 | | 6 | 15 | | 7 | 50 | | 8 | 55 | | 9 | 40 | | 10 | 43 | | 11 | 58 | | 12 | 35 | | 13 | 22 | | 14 | 55 | | 15 | 38 | | 16 | 4 | | 17 | 47 | | 18 | 23 | | 19 | 37 | | 20 | 7 | | 21 | 55 | | 22 | 19 | | 23 | 53 | | 24 | 5 | | 25 | 36 | | 26 | 30 | | 27 | 25 | | 28 | 5 | | 29 | 23 | | 30 | 39 | | 31 | 49 | | 32 | 19 | | 33 | 41 | | 34 | 31 | | 35 | 31 | | 36 | 33 | | 37 | 7 | | 38 | 66 | | 39 | 2 | | 40 | 25 | | 41 | 14 | | 42 | 25 | | 43 | 8 | | 44 | 53 | | 45 | 54 | | 46 | 19 | | 47 | 30 | | 48 | 38 | | 49 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 248 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 419 | | matches | | 0 | "wasn't looking" | | 1 | "was leaving" | | 2 | "was splitting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 248 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 525 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 13 | | adverbRatio | 0.024761904761904763 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007619047619047619 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 248 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 248 | | mean | 9.73 | | std | 6.75 | | cv | 0.694 | | sampleLengths | | 0 | 24 | | 1 | 28 | | 2 | 5 | | 3 | 14 | | 4 | 5 | | 5 | 18 | | 6 | 28 | | 7 | 14 | | 8 | 15 | | 9 | 13 | | 10 | 14 | | 11 | 23 | | 12 | 5 | | 13 | 2 | | 14 | 16 | | 15 | 5 | | 16 | 1 | | 17 | 10 | | 18 | 3 | | 19 | 5 | | 20 | 5 | | 21 | 15 | | 22 | 6 | | 23 | 9 | | 24 | 14 | | 25 | 7 | | 26 | 17 | | 27 | 7 | | 28 | 5 | | 29 | 5 | | 30 | 19 | | 31 | 13 | | 32 | 18 | | 33 | 4 | | 34 | 18 | | 35 | 11 | | 36 | 7 | | 37 | 8 | | 38 | 13 | | 39 | 15 | | 40 | 1 | | 41 | 1 | | 42 | 5 | | 43 | 8 | | 44 | 19 | | 45 | 31 | | 46 | 4 | | 47 | 21 | | 48 | 10 | | 49 | 8 |
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| 42.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.28225806451612906 | | totalSentences | 248 | | uniqueOpeners | 70 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 214 | | matches | | 0 | "Just shadows stacked on shadows." | | 1 | "Just the flowers, swaying." | | 2 | "Then it melted back into" | | 3 | "Just the flowers, swaying innocently" | | 4 | "Even the humming had stopped." | | 5 | "Too many joints." | | 6 | "Too many eyes." | | 7 | "Only her ragged breathing and" |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 214 | | matches | | 0 | "She clicked off her torch." | | 1 | "She had come for answers." | | 2 | "She turned slowly." | | 3 | "She pressed onward toward the" | | 4 | "Its glow leaked through her" | | 5 | "She had followed the pull" | | 6 | "Her boots left clear prints" | | 7 | "She brushed them aside, trying" | | 8 | "Their surfaces crawled with faint" | | 9 | "She pulled the pendant from" | | 10 | "Its inner glow strengthened, illuminating" | | 11 | "It resolved into something almost" | | 12 | "she said, keeping her voice" | | 13 | "She clamped down on the" | | 14 | "She looked down." | | 15 | "She shook it off." | | 16 | "She reached the gap between" | | 17 | "It unfolded itself with joints" | | 18 | "Her heart slammed against her" | | 19 | "She had played this game" |
| | ratio | 0.276 | |
| 67.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 168 | | totalSentences | 214 | | matches | | 0 | "Aurora slipped between the ancient" | | 1 | "The air thickened the instant" | | 2 | "She clicked off her torch." | | 3 | "She had come for answers." | | 4 | "The Heartstone pendant burned against" | | 5 | "The trees pressed close, their" | | 6 | "Bluebells and foxgloves and poppies" | | 7 | "Aurora kept her steps measured," | | 8 | "A twig snapped behind her." | | 9 | "The sound had come from" | | 10 | "The grove swallowed sound the" | | 11 | "She turned slowly." | | 12 | "Nothing moved among the trunks." | | 13 | "The words sounded wrong here," | | 14 | "She pressed onward toward the" | | 15 | "The pendant grew warmer with" | | 16 | "Its glow leaked through her" | | 17 | "She had followed the pull" | | 18 | "The ground sloped gently downward." | | 19 | "Her boots left clear prints" |
| | ratio | 0.785 | |
| 23.36% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 214 | | matches | | 0 | "Now it pulled her deeper" |
| | ratio | 0.005 | |
| 50.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 108 | | technicalSentenceCount | 14 | | matches | | 0 | "The air thickened the instant she crossed the line of standing stones, heavy with the scent of blooming wildflowers that had no business opening under a October…" | | 1 | "The trees pressed close, their branches forming a canopy that swallowed most of the moonlight." | | 2 | "Beyond them the trees gave way to deeper darkness, a tunnel of twisted trunks that shouldn't fit inside Richmond Park." | | 3 | "Their petals left streaks of luminous pollen on her jacket that glowed softly in the dark." | | 4 | "Its pulse had synchronized with her own heartbeat, a sickening double thump that echoed inside her skull." | | 5 | "She recognized the same carved stone appearing again and again, as if she ran in circles yet made progress." | | 6 | "The cool-headed woman who had escaped Cardiff and Evan and a life she never wanted felt the first cracks forming in her composure." | | 7 | "The sound that poured from them was high and piercing, thousands of voices all shrieking her name in perfect unison." | | 8 | "The screams came from inside her head now, worming through her thoughts, picking apart her memories." | | 9 | "Where the glow touched the flowers, they blackened and curled in on themselves, their screams turning to high-pitched keening." | | 10 | "She ducked and wove between them, the pendant's light creating stuttering shadows that seemed to chase her independently." | | 11 | "She felt its presence more than saw it, a pressure against reality itself that made her teeth ache and her eyes water." | | 12 | "She started walking toward the distant lights of the city, each step taking her further from the grove that wasn't a grove at all." | | 13 | "The intelligent part of her mind, the part that had always found the way out, whispered that this was only the beginning." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |