| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 978 | | 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) | |
| 13.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 978 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "throb" | | 1 | "racing" | | 2 | "pulse" | | 3 | "silence" | | 4 | "weight" | | 5 | "chill" | | 6 | "looming" | | 7 | "shimmered" | | 8 | "warmth" | | 9 | "flickered" | | 10 | "pulsed" | | 11 | "scanning" | | 12 | "throbbed" | | 13 | "measured" |
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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 | 113 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 113 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 10 | | totalWords | 976 | | ratio | 0.01 | | matches | | 0 | "Snap." | | 1 | "Panic is the enemy. Panic gets you killed." | | 2 | "Chitter." |
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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 | 958 | | uniqueNames | 8 | | maxNameDensity | 0.21 | | worstName | "Heartstone" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Heartstone" | | discoveredNames | | Heartstone | 2 | | Fae | 1 | | Grove | 1 | | Heathrow | 1 | | Richmond | 1 | | Park | 1 | | Dymas | 1 | | Malphora | 1 |
| | persons | (empty) | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Heathrow" | | 3 | "Richmond" | | 4 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "faces that seemed to grimace in the harsh light" |
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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 | 976 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 19.52 | | std | 14.65 | | cv | 0.75 | | sampleLengths | | 0 | 42 | | 1 | 7 | | 2 | 29 | | 3 | 56 | | 4 | 49 | | 5 | 27 | | 6 | 7 | | 7 | 39 | | 8 | 16 | | 9 | 1 | | 10 | 8 | | 11 | 42 | | 12 | 1 | | 13 | 10 | | 14 | 22 | | 15 | 42 | | 16 | 4 | | 17 | 21 | | 18 | 17 | | 19 | 7 | | 20 | 14 | | 21 | 38 | | 22 | 6 | | 23 | 23 | | 24 | 27 | | 25 | 17 | | 26 | 30 | | 27 | 18 | | 28 | 1 | | 29 | 8 | | 30 | 3 | | 31 | 47 | | 32 | 14 | | 33 | 30 | | 34 | 5 | | 35 | 15 | | 36 | 33 | | 37 | 25 | | 38 | 16 | | 39 | 5 | | 40 | 4 | | 41 | 28 | | 42 | 21 | | 43 | 3 | | 44 | 37 | | 45 | 34 | | 46 | 7 | | 47 | 3 | | 48 | 6 | | 49 | 11 |
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| 95.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 113 | | matches | | 0 | "was connected" | | 1 | "was veined" | | 2 | "was attached" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 160 | | matches | | |
| 94.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 117 | | ratio | 0.017 | | matches | | 0 | "London’s distant traffic hum, the drone of aeroplanes descending towards Heathrow, even the wind rustling the Richmond Park tree line—it all vanished the moment I crossed the boundary." | | 1 | "It wasn't just warmth this time; it was a warning." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 960 | | adjectiveStacks | 1 | | stackExamples | | 0 | "spongy, yielding under my" |
| | adverbCount | 37 | | adverbRatio | 0.03854166666666667 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008333333333333333 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 8.34 | | std | 5.84 | | cv | 0.7 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 7 | | 3 | 12 | | 4 | 14 | | 5 | 3 | | 6 | 7 | | 7 | 28 | | 8 | 21 | | 9 | 14 | | 10 | 17 | | 11 | 3 | | 12 | 2 | | 13 | 13 | | 14 | 4 | | 15 | 2 | | 16 | 4 | | 17 | 17 | | 18 | 3 | | 19 | 4 | | 20 | 9 | | 21 | 5 | | 22 | 25 | | 23 | 5 | | 24 | 11 | | 25 | 1 | | 26 | 6 | | 27 | 1 | | 28 | 1 | | 29 | 9 | | 30 | 22 | | 31 | 1 | | 32 | 10 | | 33 | 1 | | 34 | 10 | | 35 | 2 | | 36 | 7 | | 37 | 13 | | 38 | 6 | | 39 | 15 | | 40 | 9 | | 41 | 12 | | 42 | 4 | | 43 | 2 | | 44 | 10 | | 45 | 9 | | 46 | 8 | | 47 | 2 | | 48 | 7 | | 49 | 5 |
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| 51.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.36752136752136755 | | totalSentences | 117 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 97 | | matches | | 0 | "Just the tree and the" | | 1 | "Just beyond the reach of" | | 2 | "Just a cluster of foxgloves," | | 3 | "Then, from the darkness of" | | 4 | "Right in front of me." | | 5 | "Then, a single, cold finger" |
| | ratio | 0.062 | |
| 55.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 97 | | matches | | 0 | "I vaulted the twisted root" | | 1 | "I muttered, clutching the silver" | | 2 | "I stood upright, brushing dead" | | 3 | "They were vibrant." | | 4 | "I checked my phone." | | 5 | "I needed to know why." | | 6 | "I needed to know if" | | 7 | "I took a step forward." | | 8 | "I spun around, torch beam" | | 9 | "My voice sounded flat, swallowed" | | 10 | "I tightened my grip on" | | 11 | "I turned back to the" | | 12 | "I walked towards the centre," | | 13 | "It was veined with quartz" | | 14 | "It wasn't just warmth this" | | 15 | "I whipped the light around." | | 16 | "I forced a breath through" | | 17 | "I approached the central stone," | | 18 | "It was high-pitched, childish, and" | | 19 | "I backed away, scanning the" |
| | ratio | 0.412 | |
| 32.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 97 | | matches | | 0 | "I vaulted the twisted root" | | 1 | "The Heartstone pendant swung hard" | | 2 | "I muttered, clutching the silver" | | 3 | "The stone’s glow subsided to" | | 4 | "I stood upright, brushing dead" | | 5 | "The Fae Grove." | | 6 | "Silence hit me like a" | | 7 | "London’s distant traffic hum, the" | | 8 | "The air here tasted stale," | | 9 | "Wildflowers carpeted the glade, a" | | 10 | "Bluebells tangled with foxgloves, and" | | 11 | "They were vibrant." | | 12 | "The petals looked slick, almost" | | 13 | "I checked my phone." | | 14 | "The screen lit my face," | | 15 | "The pendant had been pulling" | | 16 | "I needed to know why." | | 17 | "I needed to know if" | | 18 | "I took a step forward." | | 19 | "The ground felt spongy, yielding" |
| | ratio | 0.856 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "I vaulted the twisted root of the ancient oak, my boots skidding on the damp moss lining the other side." | | 1 | "The Heartstone pendant swung hard against my sternum, the crimson gemstone flaring with a sudden, biting heat that seared through my jumper." | | 2 | "The screen lit my face, casting long, unnatural shadows across the standing stones that ringed the grove." | | 3 | "It was veined with quartz that shimmered with a faint, sickly luminescence." | | 4 | "It gripped the quartz veins with fingers that ended in curved, needle-like talons." | | 5 | "It was attached to an arm that stretched up into the darkness, disappearing into the void above." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "I said, my voice steadier than I felt" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.667 | | effectiveRatio | 0.571 | |