| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 647 | | 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) | |
| 22.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 647 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "rhythmic" | | 4 | "resonated" | | 5 | "echo" | | 6 | "resolve" | | 7 | "pulse" | | 8 | "whisper" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 77.49% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 40 | | totalWords | 653 | | ratio | 0.061 | | matches | | 0 | "Alright then. I'm here. Now what?" | | 1 | "That's not right." | | 2 | "thump" | | 3 | "Someone's here. Something's here." | | 4 | "The pendant's pulse flared, and I felt the warmth travel up my arm, into my chest, settling behind my ribs like a second heart." | | 5 | "Aros." | | 6 | "Stay." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 651 | | uniqueNames | 7 | | maxNameDensity | 0.31 | | worstName | "Richmond" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | November | 1 | | Eva | 1 | | Fae | 1 | | Grove | 2 | | Park | 1 | | Wait | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "November" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "quite resolve into a human silhouette" |
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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 | 653 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 19.79 | | std | 17.06 | | cv | 0.862 | | sampleLengths | | 0 | 1 | | 1 | 11 | | 2 | 48 | | 3 | 44 | | 4 | 40 | | 5 | 9 | | 6 | 6 | | 7 | 55 | | 8 | 10 | | 9 | 3 | | 10 | 42 | | 11 | 9 | | 12 | 5 | | 13 | 43 | | 14 | 4 | | 15 | 11 | | 16 | 35 | | 17 | 1 | | 18 | 14 | | 19 | 7 | | 20 | 37 | | 21 | 32 | | 22 | 24 | | 23 | 3 | | 24 | 38 | | 25 | 36 | | 26 | 1 | | 27 | 1 | | 28 | 14 | | 29 | 40 | | 30 | 21 | | 31 | 5 | | 32 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 11.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 87 | | ratio | 0.046 | | matches | | 0 | "The distant rumble of Richmond's traffic, the aircraft lights blinking overhead, the hum of streetlamps bleeding into the park — all of it cut off at the boundary of the circle." | | 1 | "The perimeter of standing stones — gnarled oak pillars wrapped in ivy and lichen — formed a ring about thirty feet across." | | 2 | "A shape darted at the edge of my vision — between two standing stones, past the treeline, gone." | | 3 | "Three more figures stood between the standing stones, motionless, their faces — if they had faces — turned toward me." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 646 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.03869969040247678 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007739938080495356 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 7.49 | | std | 6.38 | | cv | 0.851 | | sampleLengths | | 0 | 11 | | 1 | 2 | | 2 | 31 | | 3 | 15 | | 4 | 13 | | 5 | 10 | | 6 | 3 | | 7 | 4 | | 8 | 14 | | 9 | 15 | | 10 | 18 | | 11 | 5 | | 12 | 1 | | 13 | 1 | | 14 | 6 | | 15 | 3 | | 16 | 2 | | 17 | 2 | | 18 | 2 | | 19 | 7 | | 20 | 22 | | 21 | 7 | | 22 | 4 | | 23 | 4 | | 24 | 11 | | 25 | 10 | | 26 | 3 | | 27 | 5 | | 28 | 11 | | 29 | 3 | | 30 | 23 | | 31 | 9 | | 32 | 5 | | 33 | 4 | | 34 | 4 | | 35 | 4 | | 36 | 4 | | 37 | 12 | | 38 | 15 | | 39 | 2 | | 40 | 2 | | 41 | 4 | | 42 | 7 | | 43 | 18 | | 44 | 5 | | 45 | 1 | | 46 | 11 | | 47 | 1 | | 48 | 4 | | 49 | 1 |
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| 65.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4367816091954023 | | totalSentences | 87 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 71 | | matches | | 0 | "Away from me." | | 1 | "Just the oak trunk swaying" | | 2 | "Then doubled its pace." |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 71 | | matches | | 0 | "I still remembered the name" | | 1 | "I'd come because the pendant" | | 2 | "My thumb brushed the heartstone's" | | 3 | "It pulsed back." | | 4 | "I'd counted twelve on my" | | 5 | "I turned a slow circle." | | 6 | "I held my breath." | | 7 | "I whipped my head around." | | 8 | "My voice landed flat." | | 9 | "I took a step backward." | | 10 | "I looked down." | | 11 | "They had turned black and" | | 12 | "I looked up." | | 13 | "It spoke a word I" | | 14 | "I'd been warned." | | 15 | "They were invitations." |
| | ratio | 0.225 | |
| 93.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 71 | | matches | | 0 | "The moment I stepped through" | | 1 | "The distant rumble of Richmond's" | | 2 | "The moon hung directly overhead," | | 3 | "Wildflowers bloomed in clusters around" | | 4 | "Tulips in November." | | 5 | "Bluebells heavy with dew." | | 6 | "I still remembered the name" | | 7 | "I'd come because the pendant" | | 8 | "A persistent, arrhythmic warmth that" | | 9 | "My thumb brushed the heartstone's" | | 10 | "It pulsed back." | | 11 | "The clearing stretched wider than" | | 12 | "The perimeter of standing stones" | | 13 | "I'd counted twelve on my" | | 14 | "The way the shadows pooled" | | 15 | "A wind stirred the grass" | | 16 | "*That's not right.*" | | 17 | "I turned a slow circle." | | 18 | "The wildflowers swayed in unison," | | 19 | "The trees at the edge" |
| | ratio | 0.732 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 71 | | matches | | 0 | "As if someone had drawn" | | 1 | "Now I counted fourteen." |
| | ratio | 0.028 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "A persistent, arrhythmic warmth that flared whenever I drifted too close to Richmond Park on my delivery rounds." | | 1 | "Something taller, thinner, composed of shadows and angles that didn't quite resolve into a human silhouette." | | 2 | "They had turned black and brittle beneath my trainers, every bloom collapsed in on itself as if drained." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |