| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1486 | | totalAiIsmAdverbs | 1 | | 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) | |
| 49.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1486 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "throb" | | 3 | "scanned" | | 4 | "whisper" | | 5 | "flicked" | | 6 | "echo" | | 7 | "warmth" | | 8 | "weight" | | 9 | "glint" | | 10 | "chilled" | | 11 | "pulsed" | | 12 | "glistening" | | 13 | "footfall" |
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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 | 130 | | matches | (empty) | |
| 76.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 130 | | filterMatches | (empty) | | hedgeMatches | | 0 | "tried to" | | 1 | "began to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1486 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1465 | | uniqueNames | 8 | | maxNameDensity | 0.89 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Heartstone | 4 | | Pendant | 1 | | Silas | 1 | | Isolde | 1 | | Aurora | 13 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Silas" | | 3 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Isolde" |
| | globalScore | 1 | | windowScore | 1 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed farther than the few steps she had taken" | | 1 | "seemed denser than moments ago" | | 2 | "as if deciding to close the circle tighter" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1486 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 61.22% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 67.55 | | std | 24.6 | | cv | 0.364 | | sampleLengths | | 0 | 83 | | 1 | 69 | | 2 | 81 | | 3 | 62 | | 4 | 64 | | 5 | 70 | | 6 | 14 | | 7 | 77 | | 8 | 73 | | 9 | 90 | | 10 | 68 | | 11 | 81 | | 12 | 46 | | 13 | 85 | | 14 | 79 | | 15 | 77 | | 16 | 80 | | 17 | 98 | | 18 | 93 | | 19 | 14 | | 20 | 74 | | 21 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 130 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 226 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 131 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1466 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.03615279672578445 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.0068212824010914054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 11.34 | | std | 7.08 | | cv | 0.624 | | sampleLengths | | 0 | 20 | | 1 | 25 | | 2 | 38 | | 3 | 12 | | 4 | 14 | | 5 | 19 | | 6 | 7 | | 7 | 17 | | 8 | 4 | | 9 | 15 | | 10 | 6 | | 11 | 6 | | 12 | 7 | | 13 | 36 | | 14 | 7 | | 15 | 4 | | 16 | 8 | | 17 | 13 | | 18 | 14 | | 19 | 7 | | 20 | 2 | | 21 | 14 | | 22 | 6 | | 23 | 6 | | 24 | 2 | | 25 | 17 | | 26 | 4 | | 27 | 16 | | 28 | 13 | | 29 | 12 | | 30 | 14 | | 31 | 7 | | 32 | 15 | | 33 | 9 | | 34 | 13 | | 35 | 10 | | 36 | 4 | | 37 | 5 | | 38 | 6 | | 39 | 13 | | 40 | 14 | | 41 | 7 | | 42 | 17 | | 43 | 15 | | 44 | 2 | | 45 | 4 | | 46 | 5 | | 47 | 2 | | 48 | 2 | | 49 | 21 |
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| 55.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.366412213740458 | | totalSentences | 131 | | uniqueOpeners | 48 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 123 | | matches | | 0 | "Only her own breathing filled" | | 1 | "Only more flowers and a" | | 2 | "Instead the air itself seemed" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 123 | | matches | | 0 | "She had followed the faint" | | 1 | "Their bark looked scraped raw" | | 2 | "She stopped and listened." | | 3 | "She needed those answers more" | | 4 | "She told herself it was" | | 5 | "Her bright blue eyes scanned" | | 6 | "Its branches hung limp." | | 7 | "She reached for the torch" | | 8 | "She swept the light across" | | 9 | "Their shadows stretched long and" | | 10 | "Her voice came out flat" | | 11 | "She clicked the torch off." | | 12 | "She lifted it free of" | | 13 | "She had come for answers," | | 14 | "She took three more steps." | | 15 | "She crouched, torch beam on" | | 16 | "She reached for it." | | 17 | "She hissed and dropped the" | | 18 | "It came from everywhere and" | | 19 | "She kept her voice even" |
| | ratio | 0.26 | |
| 73.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 123 | | matches | | 0 | "The moon hung low over" | | 1 | "Aurora Carter pushed through the" | | 2 | "She had followed the faint" | | 3 | "Their bark looked scraped raw" | | 4 | "Aurora stepped between two of" | | 5 | "The air shifted at once," | | 6 | "She stopped and listened." | | 7 | "Traffic noise from the distance" | | 8 | "The pendant gave another slow" | | 9 | "That had been the reason" | | 10 | "A message left under her" | | 11 | "She needed those answers more" | | 12 | "Aurora walked farther in." | | 13 | "Flowers brushed her legs, petals" | | 14 | "Some bent the wrong way" | | 15 | "She told herself it was" | | 16 | "Her bright blue eyes scanned" | | 17 | "The stones behind her already" | | 18 | "A sound drifted from the" | | 19 | "A soft scrape, wood on" |
| | ratio | 0.772 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 43.96% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 9 | | matches | | 0 | "The moon hung low over Richmond Park, a thin curve of silver that offered little light among the blackened trunks." | | 1 | "Aurora Carter pushed through the undergrowth after the last of the public paths ended, her boots sinking into soft earth that clung with unexpected wetness." | | 2 | "A message left under her door at the flat above Silas’s bar had spoken of answers waiting in Isolde’s grove, answers tied to the stranger who had pressed the si…" | | 3 | "Their shadows stretched long and thin, overlapping in ways that made no geometry." | | 4 | "The flowers underfoot felt soft, almost yielding, as though the ground itself had grown porous." | | 5 | "The centre of the grove held a shallow depression she had not noticed before, as if the earth had sunk under old weight." | | 6 | "The laughter faded into a long, low breath that set the nearest flowers trembling." | | 7 | "When the beam settled again the circle of stones looked smaller still, their tops leaning in, blotting more of the thin moonlight." | | 8 | "Bark cracked open along their heights, revealing pale wood beneath that glistened as if newly cut." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |