| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "I screamed back [back]" |
| | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.083 | | effectiveRatio | 0.077 | |
| 89.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1428 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "slowly" | | 2 | "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) | |
| 29.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1428 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "pulse" | | 1 | "familiar" | | 2 | "silence" | | 3 | "tinged" | | 4 | "shimmered" | | 5 | "gloom" | | 6 | "navigating" | | 7 | "rhythmic" | | 8 | "scanning" | | 9 | "vibrated" | | 10 | "perfect" | | 11 | "warmth" | | 12 | "predator" | | 13 | "footsteps" | | 14 | "chaotic" | | 15 | "searing" | | 16 | "could feel" | | 17 | "shattered" | | 18 | "velvet" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 170 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 170 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 183 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 15 | | totalWords | 1405 | | ratio | 0.011 | | matches | | 0 | "Look for the Weeping Willow that bleeds." | | 1 | "Is it?" | | 2 | "Drip." | | 3 | "Gig-gle." | | 4 | "Gig-gle." | | 5 | "Slap-thud. Slap-thud." | | 6 | "Slap-thud." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1316 | | uniqueNames | 15 | | maxNameDensity | 0.3 | | worstName | "Willow" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Heartstone | 3 | | Richmond | 2 | | Park | 2 | | Heathrow | 1 | | Grove | 2 | | London | 3 | | Weeping | 1 | | Willow | 4 | | Dad | 2 | | Fae-touched | 1 | | Cardiff | 1 | | Yu-Fei | 2 | | Fast | 1 | | Eva | 1 | | Screaming | 1 |
| | persons | | 0 | "Weeping" | | 1 | "Willow" | | 2 | "Dad" | | 3 | "Yu-Fei" | | 4 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "London" | | 4 | "Fae-touched" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like poetic nonsense, the kind of" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1405 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 183 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 16.93 | | std | 15.2 | | cv | 0.898 | | sampleLengths | | 0 | 29 | | 1 | 19 | | 2 | 48 | | 3 | 13 | | 4 | 9 | | 5 | 41 | | 6 | 1 | | 7 | 79 | | 8 | 44 | | 9 | 3 | | 10 | 19 | | 11 | 8 | | 12 | 38 | | 13 | 8 | | 14 | 42 | | 15 | 10 | | 16 | 33 | | 17 | 14 | | 18 | 9 | | 19 | 2 | | 20 | 66 | | 21 | 9 | | 22 | 2 | | 23 | 41 | | 24 | 3 | | 25 | 24 | | 26 | 13 | | 27 | 3 | | 28 | 1 | | 29 | 33 | | 30 | 4 | | 31 | 15 | | 32 | 7 | | 33 | 21 | | 34 | 9 | | 35 | 1 | | 36 | 20 | | 37 | 4 | | 38 | 1 | | 39 | 11 | | 40 | 20 | | 41 | 27 | | 42 | 11 | | 43 | 3 | | 44 | 29 | | 45 | 20 | | 46 | 26 | | 47 | 3 | | 48 | 5 | | 49 | 6 |
| |
| 90.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 170 | | matches | | 0 | "was severed" | | 1 | "was supposed" | | 2 | "was stuck" | | 3 | "were gone" | | 4 | "was gone" | | 5 | "were gone" | | 6 | "was gone" |
| |
| 90.26% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 243 | | matches | | 0 | "was burning" | | 1 | "was agonising" | | 2 | "was coming" | | 3 | "was standing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 4 | | flaggedSentences | 10 | | totalSentences | 183 | | ratio | 0.055 | | matches | | 0 | "It wasn't just a pulse anymore; the Heartstone pendant hammered against my sternum like a second, frantic heart." | | 1 | "The familiar hum of Richmond Park—the distant drone of Heathrow traffic, the murmur of the city—vanished the instant I stepped between the two ancient oak standing stones." | | 2 | "It didn't fade; it was severed." | | 3 | "The moon above was wrong—too large, tinged with a sickly bruised purple, casting shadows that stretched long and sharp across the clearing." | | 4 | "The air tasted metallic—ozone and rotting plums." | | 5 | "The trailing branches didn't just hang; they reached." | | 6 | "They didn't just move; they recoiled." | | 7 | "It was tall—impossibly tall, limbs elongated and thin like spider legs." | | 8 | "I could feel the breath of the thing on my neck—cold and smelling of damp earth." | | 9 | "The air changed instantly—cold, crisp, smelling of diesel and London rain." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1335 | | adjectiveStacks | 2 | | stackExamples | | 0 | "sickly bruised purple, casting" | | 1 | "needle-thin transparent teeth." |
| | adverbCount | 46 | | adverbRatio | 0.03445692883895131 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.011235955056179775 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 183 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 183 | | mean | 7.68 | | std | 5.92 | | cv | 0.771 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 17 | | 3 | 2 | | 4 | 15 | | 5 | 27 | | 6 | 6 | | 7 | 13 | | 8 | 5 | | 9 | 4 | | 10 | 14 | | 11 | 11 | | 12 | 10 | | 13 | 2 | | 14 | 4 | | 15 | 1 | | 16 | 14 | | 17 | 22 | | 18 | 3 | | 19 | 6 | | 20 | 16 | | 21 | 18 | | 22 | 7 | | 23 | 37 | | 24 | 3 | | 25 | 19 | | 26 | 1 | | 27 | 7 | | 28 | 4 | | 29 | 9 | | 30 | 25 | | 31 | 4 | | 32 | 4 | | 33 | 4 | | 34 | 14 | | 35 | 17 | | 36 | 7 | | 37 | 5 | | 38 | 5 | | 39 | 5 | | 40 | 13 | | 41 | 12 | | 42 | 3 | | 43 | 3 | | 44 | 11 | | 45 | 4 | | 46 | 5 | | 47 | 2 | | 48 | 11 | | 49 | 11 |
| |
| 40.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.3114754098360656 | | totalSentences | 183 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 149 | | matches | | 0 | "Then violent, jagged lines." | | 1 | "Everywhere, wildflowers bloomed with aggressive" | | 2 | "Just the swaying stalks of" | | 3 | "Then the right." | | 4 | "Much faster than me." |
| | ratio | 0.034 | |
| 34.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 69 | | totalSentences | 149 | | matches | | 0 | "It wasn't just a pulse" | | 1 | "I muttered, tucking the crimson" | | 2 | "I pushed through the dense" | | 3 | "It didn't fade; it was" | | 4 | "My boots sank into moss" | | 5 | "I checked my wrist, scratching" | | 6 | "I drew the heavy torch" | | 7 | "It was winter in London," | | 8 | "I needed to find the" | | 9 | "I spun, beam of the" | | 10 | "My voice sounded flat, absorbed" | | 11 | "I killed the light." | | 12 | "I moved forward, stepping carefully" | | 13 | "I turned my head slowly." | | 14 | "It looked normal enough until" | | 15 | "They weren't knots." | | 16 | "They were eyes." | | 17 | "I forced my legs to" | | 18 | "My instinct, honed by years" | | 19 | "I found the clearing's center." |
| | ratio | 0.463 | |
| 50.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 122 | | totalSentences | 149 | | matches | | 0 | "The silver chain seared a" | | 1 | "It wasn't just a pulse" | | 2 | "I muttered, tucking the crimson" | | 3 | "I pushed through the dense" | | 4 | "The familiar hum of Richmond" | | 5 | "It didn't fade; it was" | | 6 | "This wasn't the park anymore." | | 7 | "This was the Grove." | | 8 | "My boots sank into moss" | | 9 | "I checked my wrist, scratching" | | 10 | "The cheap digital watch I" | | 11 | "I drew the heavy torch" | | 12 | "The moon above was wrong—too" | | 13 | "Foxgloves the size of toddlers," | | 14 | "It was winter in London," | | 15 | "I needed to find the" | | 16 | "Yu-Fei had been specific: *Look" | | 17 | "A twig snapped." | | 18 | "I spun, beam of the" | | 19 | "My voice sounded flat, absorbed" |
| | ratio | 0.819 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 149 | | matches | (empty) | | ratio | 0 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "My boots sank into moss that felt far too warm, yielding like flesh underfoot." | | 1 | "The moon above was wrong—too large, tinged with a sickly bruised purple, casting shadows that stretched long and sharp across the clearing." | | 2 | "Foxgloves the size of toddlers, expansive carpets of bluebells that shimmered with their own bioluminescent malice." | | 3 | "Yu-Fei had been specific: *Look for the Weeping Willow that bleeds.* It sounded like poetic nonsense, the kind of riddle Dad would have loved, but in the Fae-to…" | | 4 | "I stumbled back, clutching the box, my heart hammering against my ribs." | | 5 | "Where the features should have been, the skin was smooth, blank, like an unformed lump of clay, save for a single, vertical slit that opened to reveal rows of n…" |
| |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "I said, the words trembling" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" | | 2 | "I hissed (hiss)" | | 3 | "I lied (lie)" | | 4 | "I screamed back (scream)" | | 5 | "a voice whispered (whisper)" |
| | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.667 | | effectiveRatio | 0.462 | |