| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1141 | | 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) | |
| 38.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1141 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "silence" | | 3 | "quickened" | | 4 | "echo" | | 5 | "perfect" | | 6 | "whisper" | | 7 | "scanning" | | 8 | "stomach" | | 9 | "lurch" |
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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 | 1 | | narrationSentences | 121 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1129 | | uniqueNames | 7 | | maxNameDensity | 0.53 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Heartstone" | | discoveredNames | | Heartstone | 2 | | London | 1 | | Richmond | 1 | | Park | 1 | | Silas | 1 | | Rory | 6 | | Three | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Three" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like burnt plastic and pennies" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.876 | | wordCount | 1141 | | matches | | 0 | "not into a mouth but into a grin, a crescent of darkness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 36.81 | | std | 21.5 | | cv | 0.584 | | sampleLengths | | 0 | 3 | | 1 | 57 | | 2 | 48 | | 3 | 62 | | 4 | 8 | | 5 | 70 | | 6 | 4 | | 7 | 19 | | 8 | 23 | | 9 | 61 | | 10 | 70 | | 11 | 18 | | 12 | 14 | | 13 | 46 | | 14 | 6 | | 15 | 59 | | 16 | 44 | | 17 | 59 | | 18 | 6 | | 19 | 52 | | 20 | 26 | | 21 | 26 | | 22 | 42 | | 23 | 24 | | 24 | 49 | | 25 | 43 | | 26 | 4 | | 27 | 54 | | 28 | 55 | | 29 | 56 | | 30 | 33 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 121 | | matches | | 0 | "been told" | | 1 | "been spilled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 193 | | matches | | 0 | "was waiting" | | 1 | "wasn't laughing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 123 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1129 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.022143489813994686 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00354295837023915 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 9.28 | | std | 7.22 | | cv | 0.778 | | sampleLengths | | 0 | 3 | | 1 | 20 | | 2 | 22 | | 3 | 4 | | 4 | 11 | | 5 | 10 | | 6 | 15 | | 7 | 3 | | 8 | 3 | | 9 | 17 | | 10 | 16 | | 11 | 24 | | 12 | 18 | | 13 | 4 | | 14 | 8 | | 15 | 12 | | 16 | 13 | | 17 | 12 | | 18 | 3 | | 19 | 10 | | 20 | 20 | | 21 | 1 | | 22 | 3 | | 23 | 2 | | 24 | 2 | | 25 | 11 | | 26 | 4 | | 27 | 11 | | 28 | 8 | | 29 | 4 | | 30 | 7 | | 31 | 20 | | 32 | 28 | | 33 | 6 | | 34 | 11 | | 35 | 16 | | 36 | 24 | | 37 | 19 | | 38 | 4 | | 39 | 1 | | 40 | 13 | | 41 | 9 | | 42 | 5 | | 43 | 6 | | 44 | 20 | | 45 | 16 | | 46 | 4 | | 47 | 6 | | 48 | 7 | | 49 | 8 |
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| 44.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.36585365853658536 | | totalSentences | 123 | | uniqueOpeners | 45 | |
| 33.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 100 | | matches | | 0 | "More grins splitting across more" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 100 | | matches | | 0 | "She couldn't tell anymore." | | 1 | "She'd followed the pendant's pulse" | | 2 | "They carpeted the clearing beyond" | | 3 | "Her voice sounded flat, dead," | | 4 | "She'd come here because the" | | 5 | "She slipped it back into" | | 6 | "She released it, letting the" | | 7 | "She stepped deeper into the" | | 8 | "She stopped in the centre" | | 9 | "She didn't look closer." | | 10 | "She spun, her hand going" | | 11 | "She wasn't laughing now." | | 12 | "Her voice died in the" | | 13 | "She said it anyway." | | 14 | "They turned black." | | 15 | "They turned, and they watched." | | 16 | "She'd smelled blood before." | | 17 | "It raised its head." | | 18 | "It rose, standing on legs" | | 19 | "It towered over her, and" |
| | ratio | 0.2 | |
| 65.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 100 | | matches | | 0 | "The pendant burned." | | 1 | "Rory clutched the Heartstone through" | | 2 | "The deep crimson gem pulsed" | | 3 | "She couldn't tell anymore." | | 4 | "The silver chain bit into" | | 5 | "The standing stones rose from" | | 6 | "Wood didn't glow." | | 7 | "Wood didn't hum." | | 8 | "She'd followed the pendant's pulse" | | 9 | "The Heartstone had grown warmer" | | 10 | "The perspective kept shifting." | | 11 | "The wildflowers should have been" | | 12 | "They carpeted the clearing beyond" | | 13 | "Foxgloves and primroses and bluebells," | | 14 | "Rory stepped through the gap" | | 15 | "The air grew heavier, thicker," | | 16 | "The sounds of the park" | | 17 | "The wildflowers stood motionless despite" | | 18 | "The pendant's pulse quickened." | | 19 | "Her voice sounded flat, dead," |
| | ratio | 0.79 | |
| 50.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 100 | | matches | | 0 | "Now it burned against her" |
| | ratio | 0.01 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 6 | | matches | | 0 | "The deep crimson gem pulsed in a slow, insistent rhythm that matched her heartbeat, or perhaps her heartbeat had matched its rhythm." | | 1 | "Three nights it had burned against her chest, pulling her south and west like a compass needle seeking its pole." | | 2 | "Oak trees grew at the circle's edge, their branches twisted into shapes that made her eyes water when she tried to follow their lines." | | 3 | "The standing stones ringed her, their surfaces slick with something that caught the moonlight." | | 4 | "The twisted oaks stretched their branches toward each other overhead, forming a lattice that blocked the stars." | | 5 | "The skin of its face split, not into a mouth but into a grin, a crescent of darkness that curved across the blank mask like a wound." |
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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 | |