| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1293 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 42.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1293 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "searing" | | 2 | "pulse" | | 3 | "racing" | | 4 | "vibrated" | | 5 | "silence" | | 6 | "velvet" | | 7 | "echo" | | 8 | "traced" | | 9 | "pulsed" | | 10 | "measured" | | 11 | "weight" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1293 | | 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 | 1289 | | uniqueNames | 9 | | maxNameDensity | 0.7 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 9 | | Heartstone | 4 | | Richmond | 2 | | Park | 2 | | London | 1 | | English | 1 | | Bear | 1 | | Cassiopeia | 1 | | Eva | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "ot moving, not visibly, but the ring tight" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 5 | | per1kWords | 3.867 | | wordCount | 1293 | | matches | | 0 | "Not the gentle warmth Aurora had grown accustomed to over the past three weeks, but a searing pulse against her sternum" | | 1 | "not the clean petrichor of a forest floor but something sweeter" | | 2 | "not at the edge of the grove but inside it, ten metres to her left" | | 3 | "Not moving, not visibly, but the ring tightened" | | 4 | "not visibly, but the ring tightened" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.39 | | std | 24.78 | | cv | 0.843 | | sampleLengths | | 0 | 3 | | 1 | 53 | | 2 | 62 | | 3 | 3 | | 4 | 56 | | 5 | 4 | | 6 | 70 | | 7 | 35 | | 8 | 5 | | 9 | 25 | | 10 | 1 | | 11 | 51 | | 12 | 31 | | 13 | 4 | | 14 | 48 | | 15 | 27 | | 16 | 3 | | 17 | 51 | | 18 | 68 | | 19 | 3 | | 20 | 51 | | 21 | 1 | | 22 | 19 | | 23 | 35 | | 24 | 10 | | 25 | 2 | | 26 | 61 | | 27 | 62 | | 28 | 58 | | 29 | 3 | | 30 | 79 | | 31 | 17 | | 32 | 47 | | 33 | 4 | | 34 | 57 | | 35 | 2 | | 36 | 28 | | 37 | 1 | | 38 | 53 | | 39 | 6 | | 40 | 55 | | 41 | 21 | | 42 | 15 | | 43 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 134 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 208 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 136 | | ratio | 0 | | matches | (empty) | |
| 98.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 574 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.041811846689895474 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006968641114982578 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 9.51 | | std | 7.79 | | cv | 0.819 | | sampleLengths | | 0 | 3 | | 1 | 26 | | 2 | 11 | | 3 | 16 | | 4 | 18 | | 5 | 26 | | 6 | 8 | | 7 | 3 | | 8 | 7 | | 9 | 3 | | 10 | 4 | | 11 | 19 | | 12 | 11 | | 13 | 7 | | 14 | 15 | | 15 | 4 | | 16 | 4 | | 17 | 23 | | 18 | 19 | | 19 | 4 | | 20 | 20 | | 21 | 6 | | 22 | 1 | | 23 | 1 | | 24 | 16 | | 25 | 8 | | 26 | 3 | | 27 | 5 | | 28 | 3 | | 29 | 9 | | 30 | 12 | | 31 | 1 | | 32 | 1 | | 33 | 6 | | 34 | 19 | | 35 | 7 | | 36 | 12 | | 37 | 7 | | 38 | 3 | | 39 | 12 | | 40 | 13 | | 41 | 3 | | 42 | 4 | | 43 | 4 | | 44 | 1 | | 45 | 20 | | 46 | 23 | | 47 | 7 | | 48 | 7 | | 49 | 1 |
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| 38.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.33088235294117646 | | totalSentences | 136 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 118 | | matches | | 0 | "Instead the Heartstone settled into" | | 1 | "Then another answered from her" | | 2 | "Even the clover had tilted," | | 3 | "Just the Heartstone in a" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 118 | | matches | | 0 | "She pressed her palm flat" | | 1 | "She had passed through this" | | 2 | "It vibrated in her molars," | | 3 | "She crossed the threshold." | | 4 | "They stretched untouched toward a" | | 5 | "She would have preferred the" | | 6 | "She turned in a slow" | | 7 | "It simply sat there, dense" | | 8 | "She backed toward the nearest" | | 9 | "She pulled the pendant out" | | 10 | "She caught it at the" | | 11 | "Her hand went to her" | | 12 | "Her voice sounded thin." | | 13 | "She gasped and looked down." | | 14 | "They pulsed once, twice, and" | | 15 | "It stood where a shadow" | | 16 | "She could not make out" | | 17 | "She had come here because" | | 18 | "It drifted along the ring" | | 19 | "She could run." |
| | ratio | 0.212 | |
| 78.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 118 | | matches | | 0 | "The pendant burned." | | 1 | "She pressed her palm flat" | | 2 | "Each beat matched her racing" | | 3 | "The standing stones of Richmond" | | 4 | "She had passed through this" | | 5 | "The stones hummed." | | 6 | "It vibrated in her molars," | | 7 | "Aurora stepped forward, and the" | | 8 | "The distant rumble of London" | | 9 | "The orange sodium glow of" | | 10 | "She crossed the threshold." | | 11 | "Wildflowers carpeted the clearing." | | 12 | "They stretched untouched toward a" | | 13 | "The constellations were wrong." | | 14 | "The Bear was there, but" | | 15 | "Aurora's boots sank into soft" | | 16 | "The smell hit her next," | | 17 | "Honey and rot." | | 18 | "The pendant slowed its pulse." | | 19 | "That was worse." |
| | ratio | 0.763 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 118 | | matches | | 0 | "Because for three weeks she" | | 1 | "Because Eva had stopped answering" | | 2 | "Because Eva's flat had been" |
| | ratio | 0.025 | |
| 42.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 7 | | matches | | 0 | "Not the gentle warmth Aurora had grown accustomed to over the past three weeks, but a searing pulse against her sternum that made her breath catch." | | 1 | "The standing stones of Richmond Park rose before her, ancient oaks twisted into shapes that defied their nature." | | 2 | "Impossible ones, bright trumpets of foxglove and clusters of white clover that had no business blooming in the grip of an English autumn." | | 3 | "They stretched untouched toward a sky that seemed too vast, too deep, scattered with stars she did not recognise." | | 4 | "The second call came lower, more guttural, a sound that started as birdsong and ended as something with too many teeth clicking together." | | 5 | "The ground beneath her softened and she sank, ankle-deep in earth that had become something else, something that gripped and held and pulled." | | 6 | "The shape across from her grew taller, or closer, or both, and the wildflowers between them parted like a crowd making way for something that walked on legs she…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |