| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 959 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "slowly" | | 3 | "slightly" | | 4 | "really" |
| |
| 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) | |
| 27.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 959 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "loomed" | | 1 | "warmth" | | 2 | "pulsed" | | 3 | "pulse" | | 4 | "race" | | 5 | "echo" | | 6 | "weight" | | 7 | "whisper" | | 8 | "silence" | | 9 | "trembled" | | 10 | "glistening" | | 11 | "silk" |
| |
| 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 | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 959 | | ratio | 0 | | matches | (empty) | |
| 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 | 29 | | wordCount | 928 | | uniqueNames | 15 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | October | 1 | | Richmond | 2 | | Park | 2 | | London | 1 | | Heartstone | 3 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 2 | | Empress | 2 | | Fae | 1 | | Grove | 1 | | Eva | 3 | | Cardiff | 1 | | Evan | 1 | | Rory | 7 |
| | persons | | 0 | "Heartstone" | | 1 | "Cheung" | | 2 | "Empress" | | 3 | "Eva" | | 4 | "Evan" | | 5 | "Rory" |
| | places | | 0 | "October" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "London" | | 4 | "Fae" | | 5 | "Grove" | | 6 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a foolish word for a place th" | | 1 | "seemed closer the circle of wildflowers smaller, and her breath came quicker in her chest" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.128 | | wordCount | 959 | | matches | | 0 | "no larger than a thumbnail but" | | 1 | "not grabbing yet but testing, exploring" | | 2 | "not walking but unfolding across the distance" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 33.07 | | std | 27.73 | | cv | 0.838 | | sampleLengths | | 0 | 57 | | 1 | 5 | | 2 | 107 | | 3 | 24 | | 4 | 81 | | 5 | 3 | | 6 | 69 | | 7 | 71 | | 8 | 18 | | 9 | 3 | | 10 | 72 | | 11 | 36 | | 12 | 23 | | 13 | 32 | | 14 | 4 | | 15 | 33 | | 16 | 42 | | 17 | 3 | | 18 | 40 | | 19 | 3 | | 20 | 55 | | 21 | 16 | | 22 | 11 | | 23 | 7 | | 24 | 52 | | 25 | 33 | | 26 | 2 | | 27 | 46 | | 28 | 11 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 78 | | matches | | 0 | "was swallowed" | | 1 | "being listened" | | 2 | "was hidden" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 152 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.02631578947368421 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.006578947368421052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 12.14 | | std | 9.13 | | cv | 0.752 | | sampleLengths | | 0 | 12 | | 1 | 18 | | 2 | 27 | | 3 | 5 | | 4 | 25 | | 5 | 33 | | 6 | 14 | | 7 | 35 | | 8 | 8 | | 9 | 16 | | 10 | 22 | | 11 | 18 | | 12 | 12 | | 13 | 29 | | 14 | 3 | | 15 | 7 | | 16 | 13 | | 17 | 22 | | 18 | 16 | | 19 | 2 | | 20 | 2 | | 21 | 7 | | 22 | 25 | | 23 | 17 | | 24 | 29 | | 25 | 9 | | 26 | 5 | | 27 | 4 | | 28 | 3 | | 29 | 4 | | 30 | 16 | | 31 | 18 | | 32 | 9 | | 33 | 25 | | 34 | 20 | | 35 | 16 | | 36 | 10 | | 37 | 13 | | 38 | 4 | | 39 | 5 | | 40 | 23 | | 41 | 4 | | 42 | 4 | | 43 | 2 | | 44 | 12 | | 45 | 2 | | 46 | 13 | | 47 | 1 | | 48 | 2 | | 49 | 13 |
| |
| 53.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3670886075949367 | | totalSentences | 79 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 67 | | matches | | 0 | "Just absence wearing the shape" | | 1 | "Then she heard it." | | 2 | "Then the ground beneath her" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "She was already past the" | | 1 | "She had followed the warmth." | | 2 | "It had drawn her north" | | 3 | "She stood near the centre" | | 4 | "They carpeted the grass in" | | 5 | "She rubbed the small crescent-shaped" | | 6 | "Her straight shoulder-length black hair" | | 7 | "she said to the emptiness" | | 8 | "Her voice did not echo." | | 9 | "It was swallowed whole." | | 10 | "Her boots sank slightly into" | | 11 | "She thought of Eva, her" | | 12 | "Its limbs bent at angles" | | 13 | "Its face, if it had" | | 14 | "It moved with the unhurried" | | 15 | "She could see now that" | | 16 | "Her voice held steady, though" |
| | ratio | 0.254 | |
| 71.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 67 | | matches | | 0 | "Rory’s leather boots crushed wildflowers" | | 1 | "She was already past the" | | 2 | "The ancient oak standing stones" | | 3 | "She had followed the warmth." | | 4 | "The small crimson Heartstone pendant" | | 5 | "An unknown benefactor had pressed" | | 6 | "It had drawn her north" | | 7 | "The gem glowed, faint but" | | 8 | "She stood near the centre" | | 9 | "Wildflowers bloomed year-round here in" | | 10 | "They carpeted the grass in" | | 11 | "The moon hung directly overhead," | | 12 | "Something was wrong." | | 13 | "Rory was cool-headed, intelligent, quick" | | 14 | "The air carried no wind," | | 15 | "She rubbed the small crescent-shaped" | | 16 | "Her straight shoulder-length black hair" | | 17 | "The dark jacket she wore" | | 18 | "she said to the emptiness" | | 19 | "Her voice did not echo." |
| | ratio | 0.776 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Now the silver chain bit" |
| | ratio | 0.015 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "Wildflowers bloomed year-round here in impossible colours, violets and golds and a blue that hurt to look at." | | 1 | "The air carried no wind, yet the standing oaks creaked with a tick-tock rhythm that reminded her of a clock running backwards." | | 2 | "Her boots sank slightly into turf that felt softer than grass should, almost yielding, as if the ground recognised her weight and remembered older footprints." | | 3 | "She thought of Eva, her childhood friend who had begged her to flee Cardiff after Evan had left his marks." | | 4 | "Rory backed away, her boots sinking deeper into soft earth that should have been firm." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |