| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1365 | | 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) | |
| 37.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1365 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "searing" | | 1 | "whisper" | | 2 | "throb" | | 3 | "warmth" | | 4 | "flicker" | | 5 | "silence" | | 6 | "pulse" | | 7 | "scanned" | | 8 | "pulsed" | | 9 | "stomach" | | 10 | "lilt" | | 11 | "synchronized" | | 12 | "loomed" | | 13 | "pounding" | | 14 | "vibrated" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 129 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1365 | | ratio | 0 | | matches | (empty) | |
| 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 | 29 | | wordCount | 1330 | | uniqueNames | 14 | | maxNameDensity | 0.83 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Evan" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Silas | 2 | | November | 1 | | Evan | 4 | | Hel | 1 | | Laila | 1 | | Manchester | 1 | | Richmond | 1 | | Park | 1 | | Welsh | 1 | | Eva | 2 | | London | 1 | | Rory | 11 |
| | persons | | 0 | "Pendant" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Laila" | | 4 | "Rory" |
| | places | | 0 | "November" | | 1 | "Manchester" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Eva" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 93.82% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 2 | | matches | | 0 | "spirals that seemed to writhe when the light glanced away" | | 1 | "seemed nearer than before" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.733 | | wordCount | 1365 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 133 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 42.66 | | std | 24.43 | | cv | 0.573 | | sampleLengths | | 0 | 56 | | 1 | 14 | | 2 | 70 | | 3 | 65 | | 4 | 52 | | 5 | 60 | | 6 | 2 | | 7 | 78 | | 8 | 42 | | 9 | 54 | | 10 | 2 | | 11 | 20 | | 12 | 19 | | 13 | 63 | | 14 | 57 | | 15 | 81 | | 16 | 13 | | 17 | 74 | | 18 | 7 | | 19 | 66 | | 20 | 44 | | 21 | 60 | | 22 | 54 | | 23 | 22 | | 24 | 56 | | 25 | 40 | | 26 | 7 | | 27 | 64 | | 28 | 41 | | 29 | 1 | | 30 | 55 | | 31 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 215 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 133 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1337 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.039640987284966345 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008975317875841436 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 10.26 | | std | 6.9 | | cv | 0.672 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 9 | | 3 | 14 | | 4 | 4 | | 5 | 10 | | 6 | 25 | | 7 | 24 | | 8 | 5 | | 9 | 13 | | 10 | 3 | | 11 | 10 | | 12 | 14 | | 13 | 1 | | 14 | 26 | | 15 | 14 | | 16 | 6 | | 17 | 2 | | 18 | 13 | | 19 | 22 | | 20 | 9 | | 21 | 13 | | 22 | 5 | | 23 | 11 | | 24 | 10 | | 25 | 17 | | 26 | 2 | | 27 | 2 | | 28 | 2 | | 29 | 11 | | 30 | 13 | | 31 | 17 | | 32 | 16 | | 33 | 2 | | 34 | 19 | | 35 | 12 | | 36 | 7 | | 37 | 6 | | 38 | 9 | | 39 | 8 | | 40 | 9 | | 41 | 2 | | 42 | 16 | | 43 | 15 | | 44 | 7 | | 45 | 5 | | 46 | 2 | | 47 | 3 | | 48 | 8 | | 49 | 9 |
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| 52.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3233082706766917 | | totalSentences | 133 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 114 | | matches | | 0 | "Instead they bent aside, then" | | 1 | "Only the ancient oak standing" | | 2 | "Only the flowers nodding in" | | 3 | "Just like that." | | 4 | "Then softer, Laila." | | 5 | "Instead she fixed her gaze" |
| | ratio | 0.053 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 114 | | matches | | 0 | "She pressed two fingers to" | | 1 | "She had followed the pull" | | 2 | "She exhaled through her nose," | | 3 | "She picked her way between" | | 4 | "She whipped the phone around." | | 5 | "Her scar itched, the small" | | 6 | "She rubbed it without thinking," | | 7 | "Her voice sounded too loud," | | 8 | "She approached the largest stone," | | 9 | "She could see faint swirls" | | 10 | "She reached out one hand," | | 11 | "She was sure she had" | | 12 | "She tasted metal at the" | | 13 | "She took one step back" | | 14 | "Her pulse ticked faster." | | 15 | "She scanned for another route," | | 16 | "She refused to run." | | 17 | "She chose a different direction," | | 18 | "They clung, tiny hooked seeds" | | 19 | "Her name threaded through the" |
| | ratio | 0.333 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 114 | | matches | | 0 | "Rory shoved through a tangle" | | 1 | "She pressed two fingers to" | | 2 | "The wildflowers here should have" | | 3 | "The pendant had dragged her" | | 4 | "She had followed the pull" | | 5 | "A twig snapped behind her," | | 6 | "Rory spun, torch app on" | | 7 | "She exhaled through her nose," | | 8 | "The pendant gave another insistent" | | 9 | "The air tasted sweet, cloying," | | 10 | "She picked her way between" | | 11 | "Each touch left a faint" | | 12 | "Something moved at the edge" | | 13 | "She whipped the phone around." | | 14 | "The light caught only bark" | | 15 | "Her scar itched, the small" | | 16 | "She rubbed it without thinking," | | 17 | "Her voice sounded too loud," | | 18 | "She approached the largest stone," | | 19 | "The pendant flared so brightly" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 6 | | matches | | 0 | "She picked her way between blooms that should not have opened in November, their petals brushing her jeans with deliberate little strokes." | | 1 | "She could see faint swirls inside it, shapes that might have been faces if she let her eyes linger." | | 2 | "Instead she fixed her gaze on the standing stones ahead, the boundary that should lead back to Richmond Park and the sensible world of late-night deliveries and…" | | 3 | "Its glow lit the tree trunks in stuttering pulses, revealing shapes that flattened themselves against the bark the instant her light touched them." | | 4 | "The flowers beneath her palms pulsed with the same rhythm as the pendant, as though the entire grove had synchronized to her heartbeat." | | 5 | "The path she had followed in had disappeared under a sea of blooms that parted only at the last second, as though reluctant." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |