| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 962 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "utterly" | | 3 | "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) | |
| 1.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 962 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "silence" | | 1 | "profound" | | 2 | "warmth" | | 3 | "whisper" | | 4 | "chill" | | 5 | "gloom" | | 6 | "searing" | | 7 | "echo" | | 8 | "electric" | | 9 | "vibrated" | | 10 | "flicker" | | 11 | "could feel" | | 12 | "echoed" | | 13 | "pulse" |
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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 | 79 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | 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 | 961 | | 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 | 11 | | wordCount | 948 | | uniqueNames | 5 | | maxNameDensity | 0.42 | | worstName | "Grove" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Grove | 4 | | Fae | 1 | | Rory | 4 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 27.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a confirmation" | | 1 | "felt like a held breath" | | 2 | "voices that seemed to come from everywhere and nowhere" |
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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 | 961 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 43.68 | | std | 27.51 | | cv | 0.63 | | sampleLengths | | 0 | 81 | | 1 | 82 | | 2 | 90 | | 3 | 59 | | 4 | 48 | | 5 | 27 | | 6 | 15 | | 7 | 20 | | 8 | 3 | | 9 | 101 | | 10 | 36 | | 11 | 44 | | 12 | 18 | | 13 | 43 | | 14 | 52 | | 15 | 53 | | 16 | 11 | | 17 | 40 | | 18 | 28 | | 19 | 16 | | 20 | 77 | | 21 | 17 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "being watched" | | 1 | "was gone" | | 2 | "were fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 131 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 81 | | ratio | 0.012 | | matches | | 0 | "Her face was beautiful in the way a winter landscape is beautiful—sharp, cold, and utterly without mercy." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 949 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.0368809272918862 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009483667017913594 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 11.86 | | std | 7.19 | | cv | 0.606 | | sampleLengths | | 0 | 11 | | 1 | 4 | | 2 | 7 | | 3 | 31 | | 4 | 12 | | 5 | 16 | | 6 | 8 | | 7 | 16 | | 8 | 6 | | 9 | 19 | | 10 | 5 | | 11 | 3 | | 12 | 17 | | 13 | 8 | | 14 | 19 | | 15 | 15 | | 16 | 20 | | 17 | 12 | | 18 | 24 | | 19 | 5 | | 20 | 19 | | 21 | 17 | | 22 | 6 | | 23 | 12 | | 24 | 11 | | 25 | 9 | | 26 | 26 | | 27 | 2 | | 28 | 3 | | 29 | 4 | | 30 | 20 | | 31 | 7 | | 32 | 8 | | 33 | 5 | | 34 | 8 | | 35 | 3 | | 36 | 4 | | 37 | 3 | | 38 | 6 | | 39 | 6 | | 40 | 15 | | 41 | 18 | | 42 | 19 | | 43 | 8 | | 44 | 4 | | 45 | 10 | | 46 | 15 | | 47 | 15 | | 48 | 4 | | 49 | 17 |
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| 41.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2962962962962963 | | totalSentences | 81 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 35.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 78 | | matches | | 0 | "It was a silence that" | | 1 | "She stepped through the gateway," | | 2 | "Her phone’s screen was a" | | 3 | "She’d come because of the" | | 4 | "It had been pulsing all" | | 5 | "It felt like an invitation." | | 6 | "It was a compass needle" | | 7 | "Their branches, stripped of leaves," | | 8 | "It grew heavy, thick with" | | 9 | "She followed the insistent pull" | | 10 | "They were blossoms she couldn’t" | | 11 | "She gasped and clutched at" | | 12 | "Her voice was a dry" | | 13 | "She spun around." | | 14 | "It felt like a held" | | 15 | "She took a step back" | | 16 | "She stumbled, her hand flying" | | 17 | "Her palm met the cold," | | 18 | "She snatched her hand back" | | 19 | "It was a sound she" |
| | ratio | 0.462 | |
| 30.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 78 | | matches | | 0 | "The iron gate at the" | | 1 | "Aurora had expected that." | | 2 | "It was a silence that" | | 3 | "She stepped through the gateway," | | 4 | "Her phone’s screen was a" | | 5 | "She’d come because of the" | | 6 | "It had been pulsing all" | | 7 | "It felt like an invitation." | | 8 | "It was a compass needle" | | 9 | "The ancient oaks that marked" | | 10 | "Their branches, stripped of leaves," | | 11 | "The moon was a cold," | | 12 | "It grew heavy, thick with" | | 13 | "This was the Fae Grove." | | 14 | "Eva had told her stories," | | 15 | "A place where time was" | | 16 | "Rory had dismissed it as" | | 17 | "She followed the insistent pull" | | 18 | "Wildflowers, impossibly bright in the" | | 19 | "They were blossoms she couldn’t" |
| | ratio | 0.859 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 78 | | matches | | 0 | "Now, as she walked deeper" | | 1 | "Now, the damp chill seeping" |
| | ratio | 0.026 | |
| 26.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 7 | | matches | | 0 | "Not the quiet of a city park at night, with its distant hum of traffic and the rustle of urban wildlife, but a profound, swallowing stillness that felt deep and…" | | 1 | "It had been pulsing all evening, a steady, warm thrum against her collarbone, a heartbeat that wasn’t her own." | | 2 | "The ancient oaks that marked the boundary came into view, their massive trunks like pillars of a forgotten temple." | | 3 | "Eva had told her stories, her voice a low whisper as if the walls of their flat had ears." | | 4 | "A low, resonant frequency that vibrated deep in her bones." | | 5 | "She started to back away, her eyes darting from tree to tree, trying to track the flickers of movement that were now coming faster, more frequent." | | 6 | "A glimpse of pale skin here, the swish of a dark cloak there, the low murmur of voices that seemed to come from everywhere and nowhere." |
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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 | | 0 | "she called out (call out)" |
| | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |