| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1087 | | 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) | |
| 21.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1087 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "silence" | | 3 | "whisper" | | 4 | "perfect" | | 5 | "loomed" | | 6 | "etched" | | 7 | "pulsed" | | 8 | "profound" | | 9 | "throbbed" | | 10 | "trembled" | | 11 | "flickered" | | 12 | "silk" | | 13 | "chill" | | 14 | "predator" |
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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 | 2 | | narrationSentences | 98 | | matches | | 0 | "t with fear" | | 1 | "d with warmth" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1087 | | ratio | 0.006 | | matches | | 0 | "Find where the stone first grew cold." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1070 | | uniqueNames | 12 | | maxNameDensity | 0.19 | | worstName | "Grove" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | January | 1 | | Grove | 2 | | Richmond | 1 | | Park | 1 | | Ordnance | 1 | | Survey | 1 | | Fae | 1 | | Eva | 1 | | Hel | 2 | | Welsh | 1 | | Aurora | 1 | | Evan | 2 |
| | persons | | | places | | 0 | "January" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Fae" | | 5 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.68 | | wordCount | 1087 | | matches | | 0 | "Not like a tremor, but like a throat working" | | 1 | "Not slowly, but in a wave, petals blackening, stems collapsing into dust" | | 2 | "not with heat but with this lethal chill" | | 3 | "not to Hel but to the spaces between, a hunger" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 100 | | matches | | 0 | "knew that sensation" | | 1 | "walked that path" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 41.81 | | std | 25.43 | | cv | 0.608 | | sampleLengths | | 0 | 54 | | 1 | 68 | | 2 | 86 | | 3 | 18 | | 4 | 59 | | 5 | 36 | | 6 | 69 | | 7 | 78 | | 8 | 7 | | 9 | 63 | | 10 | 70 | | 11 | 8 | | 12 | 63 | | 13 | 11 | | 14 | 45 | | 15 | 5 | | 16 | 41 | | 17 | 72 | | 18 | 23 | | 19 | 9 | | 20 | 57 | | 21 | 27 | | 22 | 52 | | 23 | 40 | | 24 | 22 | | 25 | 4 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 98 | | matches | | 0 | "was meant" | | 1 | "been scattered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 191 | | matches | | 0 | "wasn’t detecting" | | 1 | "was sealing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 100 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1075 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03627906976744186 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011162790697674419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.87 | | std | 6.13 | | cv | 0.564 | | sampleLengths | | 0 | 23 | | 1 | 14 | | 2 | 17 | | 3 | 16 | | 4 | 18 | | 5 | 16 | | 6 | 16 | | 7 | 2 | | 8 | 25 | | 9 | 26 | | 10 | 19 | | 11 | 11 | | 12 | 5 | | 13 | 10 | | 14 | 8 | | 15 | 9 | | 16 | 3 | | 17 | 3 | | 18 | 10 | | 19 | 20 | | 20 | 6 | | 21 | 8 | | 22 | 5 | | 23 | 9 | | 24 | 3 | | 25 | 9 | | 26 | 10 | | 27 | 11 | | 28 | 12 | | 29 | 3 | | 30 | 6 | | 31 | 2 | | 32 | 14 | | 33 | 7 | | 34 | 14 | | 35 | 15 | | 36 | 15 | | 37 | 11 | | 38 | 4 | | 39 | 17 | | 40 | 4 | | 41 | 12 | | 42 | 7 | | 43 | 3 | | 44 | 21 | | 45 | 13 | | 46 | 8 | | 47 | 5 | | 48 | 13 | | 49 | 5 |
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| 47.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.33 | | totalSentences | 100 | | uniqueOpeners | 33 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | | ratio | 0.011 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 95 | | matches | | 0 | "I held my torch beam" | | 1 | "I’d come to the Grove" | | 2 | "I’d thought it a story." | | 3 | "My watch had stopped the" | | 4 | "I moved deeper, the moss" | | 5 | "My fingers tightened on the" | | 6 | "I’d dealt with fear before." | | 7 | "It came from the left," | | 8 | "My skin crawled." | | 9 | "I spun, torch slicing the" | | 10 | "I was certain I’d only" | | 11 | "I backed away, my heel" | | 12 | "I knew that sensation." | | 13 | "It was wrong." | | 14 | "My left wrist throbbed, the" | | 15 | "I hadn’t thought of the" | | 16 | "It didn’t move toward me." | | 17 | "It simply became where before" | | 18 | "I didn’t scream." | | 19 | "My torch flickered, the bulb" |
| | ratio | 0.368 | |
| 28.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 95 | | matches | | 0 | "The heartstone flared crimson against" | | 1 | "Oak bark under my palm" | | 2 | "The pendant’s pulse, usually a" | | 3 | "I held my torch beam" | | 4 | "The clearing beyond the boundary" | | 5 | "Bluebells bent at angles no" | | 6 | "Foxgloves stained the air with" | | 7 | "I’d come to the Grove" | | 8 | "The Fae Grove, Eva had" | | 9 | "A place where time unspooled" | | 10 | "I’d thought it a story." | | 11 | "My watch had stopped the" | | 12 | "The second hand twitched, caught" | | 13 | "I moved deeper, the moss" | | 14 | "The silence pressed against my" | | 15 | "Something moved at the corner" | | 16 | "My fingers tightened on the" | | 17 | "The pendant’s chain burned cold" | | 18 | "I’d dealt with fear before." | | 19 | "Evan’s fists had taught me" |
| | ratio | 0.863 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 95 | | matches | | 0 | "Now eight or nine loomed," | | 1 | "Before the illness hollowed her" | | 2 | "Before the hospital room with" |
| | ratio | 0.032 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 5 | | matches | | 0 | "The heartstone flared crimson against my chest as I stepped past the third standing stone, its warmth vanishing so fast my breath misted." | | 1 | "Foxgloves stained the air with a sweetness that caught in my throat, cloying and faintly metallic." | | 2 | "Something moved at the corner of my vision, a shapeless dark that slid behind a twisted oak when I turned." | | 3 | "A face that wasn’t a face but a smoothed-over oval of bark and shadow, with two deep-set hollows where eyes should be." | | 4 | "I saw my own footprints in the moss ahead of me, fresh, as if I’d already walked that path." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |