| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 936 | | 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) | |
| 19.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 936 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "scanning" | | 3 | "structure" | | 4 | "silence" | | 5 | "weight" | | 6 | "familiar" | | 7 | "footsteps" | | 8 | "pulse" | | 9 | "flickered" | | 10 | "perfect" |
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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 | 108 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 108 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 928 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 871 | | uniqueNames | 9 | | maxNameDensity | 0.46 | | worstName | "Yu-Fei" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 2 | | Yu-Fei | 4 | | Richmond | 1 | | Park | 1 | | November | 1 | | Practised | 1 | | Aurora | 2 | | Carter | 1 | | Rory | 3 |
| | persons | | 0 | "Eva" | | 1 | "Yu-Fei" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.155 | | wordCount | 928 | | matches | | 0 | "Not the gradual cooling of evening, but a sudden shift, like walking into a cellar" | | 1 | "not words she could parse, but closer to language with each repetition" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 20.17 | | std | 15.45 | | cv | 0.766 | | sampleLengths | | 0 | 54 | | 1 | 40 | | 2 | 43 | | 3 | 21 | | 4 | 51 | | 5 | 8 | | 6 | 1 | | 7 | 16 | | 8 | 3 | | 9 | 7 | | 10 | 40 | | 11 | 4 | | 12 | 13 | | 13 | 1 | | 14 | 42 | | 15 | 35 | | 16 | 22 | | 17 | 33 | | 18 | 13 | | 19 | 5 | | 20 | 29 | | 21 | 17 | | 22 | 6 | | 23 | 3 | | 24 | 10 | | 25 | 5 | | 26 | 23 | | 27 | 40 | | 28 | 4 | | 29 | 36 | | 30 | 12 | | 31 | 31 | | 32 | 25 | | 33 | 3 | | 34 | 21 | | 35 | 6 | | 36 | 49 | | 37 | 22 | | 38 | 6 | | 39 | 6 | | 40 | 31 | | 41 | 33 | | 42 | 19 | | 43 | 4 | | 44 | 3 | | 45 | 32 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 108 | | matches | | 0 | "been drawn" | | 1 | "being whispered" | | 2 | "been dropped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 114 | | ratio | 0.07 | | matches | | 0 | "Aurora had memorised their shapes from Eva's descriptions—three standing stones grown through with ancient bark, their surfaces carved with symbols that hurt to look at directly." | | 1 | "Yet there they carpeted the clearing beyond the stones—bluebells and foxglove and things she couldn't name, all vibrant despite the darkness." | | 2 | "Not absence of sound—silence as a presence, a weight." | | 3 | "She snapped her head that direction and caught only the tail end of motion—a shadow that wasn't cast by anything, sliding behind a birch tree." | | 4 | "Her father had taught her that in courtrooms—control the body and the mind follows." | | 5 | "Not wilted—folded shut like hands clasping together." | | 6 | "Running from something you couldn't see in a place where directions didn't work—that was how people died in horror films." | | 7 | "Just a hairline fracture, but she felt it—the first cold tendril of genuine fear threading through her controlled calm." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 887 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sudden grey half-light," |
| | adverbCount | 27 | | adverbRatio | 0.030439684329199548 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011273957158962795 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 8.14 | | std | 7.21 | | cv | 0.885 | | sampleLengths | | 0 | 5 | | 1 | 26 | | 2 | 4 | | 3 | 19 | | 4 | 3 | | 5 | 21 | | 6 | 16 | | 7 | 6 | | 8 | 3 | | 9 | 5 | | 10 | 21 | | 11 | 8 | | 12 | 3 | | 13 | 15 | | 14 | 3 | | 15 | 8 | | 16 | 20 | | 17 | 12 | | 18 | 11 | | 19 | 3 | | 20 | 5 | | 21 | 1 | | 22 | 5 | | 23 | 8 | | 24 | 3 | | 25 | 3 | | 26 | 2 | | 27 | 5 | | 28 | 5 | | 29 | 2 | | 30 | 4 | | 31 | 29 | | 32 | 2 | | 33 | 2 | | 34 | 2 | | 35 | 11 | | 36 | 1 | | 37 | 6 | | 38 | 9 | | 39 | 27 | | 40 | 8 | | 41 | 2 | | 42 | 25 | | 43 | 4 | | 44 | 4 | | 45 | 14 | | 46 | 6 | | 47 | 27 | | 48 | 6 | | 49 | 7 |
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| 66.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4336283185840708 | | totalSentences | 113 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "Instead, a pale luminescence seemed" | | 1 | "Too high, too musical, like" | | 2 | "Just a hairline fracture, but" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 90 | | matches | | 0 | "She found them easily." | | 1 | "She needed answers." | | 2 | "She stepped through the gap" | | 3 | "Her breath fogged." | | 4 | "She'd read about pocket spaces," | | 5 | "Her voice came out wrong." | | 6 | "She tried again." | | 7 | "She pulled out her phone." | | 8 | "She pocketed it and stepped" | | 9 | "She became aware of her" | | 10 | "She snapped her head that" | | 11 | "Her father had taught her" | | 12 | "She addressed the grove directly" | | 13 | "She backed up a step." | | 14 | "She grabbed it instinctively, and" | | 15 | "She checked her phone again." | | 16 | "She stared at the screen." | | 17 | "She was certain of it." | | 18 | "She pulled her jacket tighter" | | 19 | "She kept her voice level" |
| | ratio | 0.267 | |
| 93.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 90 | | matches | | 0 | "The oaks marked the boundary." | | 1 | "Aurora had memorised their shapes" | | 2 | "She found them easily." | | 3 | "The pendant at her throat" | | 4 | "She needed answers." | | 5 | "Dymas had sent the thing" | | 6 | "The trail led here, to" | | 7 | "The wildflowers shouldn't have been" | | 8 | "She stepped through the gap" | | 9 | "The temperature dropped." | | 10 | "Her breath fogged." | | 11 | "The grove stretched wider than" | | 12 | "She'd read about pocket spaces," | | 13 | "The moonlight that had guided" | | 14 | "The pendant pulsed." | | 15 | "Warmth spread across her collarbone." | | 16 | "Her voice came out wrong." | | 17 | "She tried again." | | 18 | "The flowers swayed without wind." | | 19 | "She pulled out her phone." |
| | ratio | 0.733 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 7 | | matches | | 0 | "Aurora had memorised their shapes from Eva's descriptions—three standing stones grown through with ancient bark, their surfaces carved with symbols that hurt to…" | | 1 | "She'd read about pocket spaces, places that existed between realms, but reading and standing inside one were different experiences entirely." | | 2 | "She pocketed it and stepped further in, scanning the tree line for any sign of a path, a structure, anything that might explain why Yu-Fei had been drawn here." | | 3 | "She became aware of her own heartbeat, the rustle of her jacket, the soft crunch of her boots on soil that felt too damp for the season." | | 4 | "She snapped her head that direction and caught only the tail end of motion—a shadow that wasn't cast by anything, sliding behind a birch tree." | | 5 | "Petals unfurling, then closing, then unfurling again in a rhythm that matched her pulse." | | 6 | "With a sound like a name being whispered backwards, like recognition, like something that had been waiting a very long time finally hearing the right footstep o…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "She addressed (address)" |
| | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 1 | | effectiveRatio | 0.25 | |