| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1059 | | totalAiIsmAdverbs | 2 | | 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) | |
| 52.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1059 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "sense of" | | 2 | "pulsed" | | 3 | "scanning" | | 4 | "whisper" | | 5 | "jaw clenched" | | 6 | "predictable" | | 7 | "shattered" | | 8 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1050 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 934 | | uniqueNames | 7 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Heartstone | 3 | | Park | 1 | | December | 1 | | Camden | 1 | | Female | 1 | | Surprised | 1 |
| | persons | | | places | | 0 | "Park" | | 1 | "December" | | 2 | "Camden" |
| | globalScore | 0.911 | | windowScore | 0.833 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like copper on her tongue" | | 1 | "quite fog but moved like it" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.81 | | wordCount | 1050 | | matches | | 0 | "Not words, not yet, but the shape of them" | | 1 | "not yet, but the shape of them" | | 2 | "Not broken, not yet, but she felt it" | | 3 | "not yet, but she felt it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 21 | | std | 18.55 | | cv | 0.883 | | sampleLengths | | 0 | 6 | | 1 | 53 | | 2 | 35 | | 3 | 53 | | 4 | 4 | | 5 | 48 | | 6 | 9 | | 7 | 51 | | 8 | 5 | | 9 | 26 | | 10 | 8 | | 11 | 7 | | 12 | 45 | | 13 | 13 | | 14 | 42 | | 15 | 17 | | 16 | 3 | | 17 | 56 | | 18 | 4 | | 19 | 4 | | 20 | 34 | | 21 | 1 | | 22 | 10 | | 23 | 47 | | 24 | 6 | | 25 | 2 | | 26 | 48 | | 27 | 6 | | 28 | 53 | | 29 | 4 | | 30 | 8 | | 31 | 31 | | 32 | 3 | | 33 | 2 | | 34 | 41 | | 35 | 18 | | 36 | 30 | | 37 | 8 | | 38 | 3 | | 39 | 44 | | 40 | 25 | | 41 | 3 | | 42 | 1 | | 43 | 24 | | 44 | 43 | | 45 | 4 | | 46 | 4 | | 47 | 30 | | 48 | 22 | | 49 | 6 |
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| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 114 | | matches | | 0 | "Was stopped." | | 1 | "being surprised" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 158 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 128 | | ratio | 0 | | matches | (empty) | |
| 85.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 425 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Wrong, wrong, wrong little Carter" |
| | adverbCount | 21 | | adverbRatio | 0.04941176470588235 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.01411764705882353 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 8.2 | | std | 5.68 | | cv | 0.692 | | sampleLengths | | 0 | 6 | | 1 | 23 | | 2 | 11 | | 3 | 19 | | 4 | 4 | | 5 | 2 | | 6 | 10 | | 7 | 2 | | 8 | 5 | | 9 | 12 | | 10 | 9 | | 11 | 25 | | 12 | 19 | | 13 | 4 | | 14 | 12 | | 15 | 3 | | 16 | 3 | | 17 | 14 | | 18 | 16 | | 19 | 9 | | 20 | 6 | | 21 | 15 | | 22 | 5 | | 23 | 6 | | 24 | 2 | | 25 | 17 | | 26 | 4 | | 27 | 1 | | 28 | 20 | | 29 | 6 | | 30 | 4 | | 31 | 4 | | 32 | 7 | | 33 | 8 | | 34 | 19 | | 35 | 4 | | 36 | 14 | | 37 | 4 | | 38 | 1 | | 39 | 8 | | 40 | 7 | | 41 | 14 | | 42 | 16 | | 43 | 2 | | 44 | 3 | | 45 | 13 | | 46 | 4 | | 47 | 3 | | 48 | 9 | | 49 | 14 |
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| 57.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.40625 | | totalSentences | 128 | | uniqueOpeners | 52 | |
| 67.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 99 | | matches | | 0 | "Just the flowers and the" | | 1 | "Just the silver chain, still" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 99 | | matches | | 0 | "She pressed her palm to" | | 1 | "She'd come because the pendant" | | 2 | "They carpeted the clearing in" | | 3 | "She'd walked through enough parks" | | 4 | "Her voice fell flat in" | | 5 | "It had worked fine at" | | 6 | "She turned slowly, scanning the" | | 7 | "She looked down." | | 8 | "Her hand hovered over the" | | 9 | "She tried to step back." | | 10 | "Her feet wouldn't move either." | | 11 | "They paused there, testing the" | | 12 | "They were tall, too tall," | | 13 | "She saw the teeth." | | 14 | "She kept her voice steady" | | 15 | "It bent, impossibly long fingers" | | 16 | "She screamed as the Heartstone" | | 17 | "Her hand dropped, finally released," |
| | ratio | 0.182 | |
| 76.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 99 | | matches | | 0 | "The pendant burned against Rory's" | | 1 | "She pressed her palm to" | | 2 | "Richmond Park stretched behind her," | | 3 | "The city lights barely reached" | | 4 | "The grove shouldn't exist." | | 5 | "Every map showed trees here," | | 6 | "She'd come because the pendant" | | 7 | "The unknown benefactor who'd given" | | 8 | "Something needed her here." | | 9 | "The flowers glowed faintly in" | | 10 | "The kind of shade that" | | 11 | "They carpeted the clearing in" | | 12 | "Rory's delivery trainers made no" | | 13 | "That was the first wrong" | | 14 | "She'd walked through enough parks" | | 15 | "The swish of disturbed vegetation." | | 16 | "The occasional crack of a" | | 17 | "The pendant pulsed again." | | 18 | "Her voice fell flat in" | | 19 | "The trees didn't answer." |
| | ratio | 0.768 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 7 | | matches | | 0 | "She pressed her palm to it through her jacket, feeling the Heartstone's pulse quicken as she stepped between the ancient oak standing stones." | | 1 | "The city lights barely reached this far, and the moon hung somewhere behind thick clouds that refused to break." | | 2 | "Three days of increasing heat against her sternum, three nights of dreams filled with whispers in a language that tasted like copper on her tongue." | | 3 | "The unknown benefactor who'd given her this thing hadn't included an instruction manual, but the message was clear enough." | | 4 | "The kind of shade that made her eyes water if she looked too long." | | 5 | "They carpeted the clearing in neat spirals that converged on a moss-covered stone at the center." | | 6 | "The screen showed no signal, no time, just a blank black rectangle that reflected her face back at her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |