| 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 | |
| 85.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1024 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "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) | |
| 12.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1024 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "shimmered" | | 3 | "velvet" | | 4 | "silence" | | 5 | "flickered" | | 6 | "scanning" | | 7 | "rhythmic" | | 8 | "pulse" | | 9 | "echo" | | 10 | "oppressive" | | 11 | "warmth" | | 12 | "echoing" | | 13 | "beacon" |
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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 | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1024 | | ratio | 0.003 | | matches | | |
| 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 | 21 | | wordCount | 1007 | | uniqueNames | 8 | | maxNameDensity | 0.6 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | November | 1 | | Heartstone | 2 | | Grove | 3 | | Richmond | 3 | | Eva | 1 | | Park | 2 | | Rory | 6 | | Like | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Grove" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Like" |
| | places | | 0 | "November" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed larger than before" | | 1 | "looked like they'd been filed to points" |
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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 | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 23.81 | | std | 17.95 | | cv | 0.754 | | sampleLengths | | 0 | 9 | | 1 | 48 | | 2 | 10 | | 3 | 39 | | 4 | 31 | | 5 | 46 | | 6 | 1 | | 7 | 12 | | 8 | 22 | | 9 | 30 | | 10 | 16 | | 11 | 42 | | 12 | 5 | | 13 | 2 | | 14 | 10 | | 15 | 12 | | 16 | 31 | | 17 | 26 | | 18 | 2 | | 19 | 19 | | 20 | 33 | | 21 | 54 | | 22 | 28 | | 23 | 4 | | 24 | 6 | | 25 | 43 | | 26 | 47 | | 27 | 9 | | 28 | 44 | | 29 | 14 | | 30 | 51 | | 31 | 16 | | 32 | 33 | | 33 | 43 | | 34 | 2 | | 35 | 7 | | 36 | 79 | | 37 | 5 | | 38 | 26 | | 39 | 32 | | 40 | 11 | | 41 | 12 | | 42 | 12 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 132 | | matches | | 0 | "been slipped" | | 1 | "been filed" |
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| 90.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 183 | | matches | | 0 | "was just beginning" | | 1 | "wasn't warning" | | 2 | "was answering" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 135 | | ratio | 0 | | matches | (empty) | |
| 90.88% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1010 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ahead, black against blacker sky." |
| | adverbCount | 44 | | adverbRatio | 0.04356435643564356 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006930693069306931 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 7.59 | | std | 7.01 | | cv | 0.924 | | sampleLengths | | 0 | 9 | | 1 | 11 | | 2 | 20 | | 3 | 6 | | 4 | 2 | | 5 | 9 | | 6 | 7 | | 7 | 1 | | 8 | 2 | | 9 | 7 | | 10 | 27 | | 11 | 4 | | 12 | 1 | | 13 | 2 | | 14 | 2 | | 15 | 27 | | 16 | 9 | | 17 | 3 | | 18 | 7 | | 19 | 27 | | 20 | 1 | | 21 | 3 | | 22 | 3 | | 23 | 6 | | 24 | 8 | | 25 | 3 | | 26 | 11 | | 27 | 5 | | 28 | 2 | | 29 | 23 | | 30 | 5 | | 31 | 2 | | 32 | 9 | | 33 | 18 | | 34 | 13 | | 35 | 1 | | 36 | 2 | | 37 | 8 | | 38 | 5 | | 39 | 2 | | 40 | 3 | | 41 | 3 | | 42 | 4 | | 43 | 4 | | 44 | 1 | | 45 | 5 | | 46 | 2 | | 47 | 8 | | 48 | 14 | | 49 | 1 |
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| 68.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.45925925925925926 | | totalSentences | 135 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 95 | | matches | | 0 | "Just an address in Richmond" | | 1 | "Too rhythmic for an animal." | | 2 | "Just that oppressive silence swallowing" | | 3 | "Pale, slender, terminated with nails" | | 4 | "Just a mouth that stretched" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 95 | | matches | | 0 | "She'd read about places like" | | 1 | "She hadn't planned on coming" | | 2 | "She pulled out her phone." | | 3 | "Her pulse kicked up a" | | 4 | "She forced her breathing steady." | | 5 | "She reached for the pendant" | | 6 | "It pulsed faster now, a" | | 7 | "She looked down." | | 8 | "She moved toward what she" | | 9 | "It carried the fermented honey" | | 10 | "She clenched it into a" | | 11 | "She caught a glimpse of" | | 12 | "She dropped it, gasping, and" | | 13 | "They were fingers." | | 14 | "It had been crouching before," | | 15 | "It tilted its head." | | 16 | "It wasn't warning her." | | 17 | "It was answering." |
| | ratio | 0.189 | |
| 96.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 95 | | matches | | 0 | "The standing stones loomed ahead," | | 1 | "Rory ducked beneath a low-hanging" | | 2 | "Wildflowers dotted the clearing floor," | | 3 | "She'd read about places like" | | 4 | "The Heartstone pendant pulsed against" | | 5 | "She hadn't planned on coming" | | 6 | "The note had been slipped" | | 7 | "Rory stepped between the first" | | 8 | "The air changed." | | 9 | "The sounds of Richmond Park," | | 10 | "The held-breath kind." | | 11 | "The kind that preceded something" | | 12 | "The flowers released a scent" | | 13 | "She pulled out her phone." | | 14 | "The screen showed 12:03 AM," | | 15 | "The Heartstone grew warmer still." | | 16 | "Rory moved deeper into the" | | 17 | "The wildflowers grew denser toward" | | 18 | "Shapes that hurt to follow" | | 19 | "Something rustled to her left." |
| | ratio | 0.726 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 95 | | matches | | 0 | "If she couldn't find the" |
| | ratio | 0.011 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory ducked beneath a low-hanging branch that shouldn't exist in November." | | 1 | "Wildflowers dotted the clearing floor, blues and purples and sickly whites that had no business blooming this time of year." | | 2 | "The note had been slipped under her flat door while she'd been out on deliveries, handwritten on cream cardstock in ink that shimmered when you tilted it." | | 3 | "Just an address in Richmond that mapped to nothing on any normal street grid, but everything in the battered notebook Eva had left behind before she'd disappear…" | | 4 | "The sounds of Richmond Park, the distant A205 traffic, the dogs in the residential streets, all of it cut off as though someone had thrown a switch." | | 5 | "The wildflowers grew denser toward the centre, forming patterns that looked almost deliberate." | | 6 | "It had been crouching before, folding itself into that liquid movement, but now it rose to a height that put it a full head above her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "The mouth moved, but the voice came from everywhere and nowhere, echoing from the stones, the soil, the grasping fingers around her feet" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |