| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1291 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1291 | | totalAiIsms | 32 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "silence" | | 1 | "throbbed" | | 2 | "scanned" | | 3 | "traced" | | 4 | "footsteps" | | 5 | "loomed" | | 6 | "furrowed" | | 7 | "flickered" | | 8 | "etched" | | 9 | "chill" | | 10 | "pulse" | | 11 | "quivered" | | 12 | "echoing" | | 13 | "chilled" | | 14 | "echoes" | | 15 | "flicked" | | 16 | "stark" | | 17 | "trembled" | | 18 | "pulsed" | | 19 | "stomach" | | 20 | "etching" | | 21 | "echoed" | | 22 | "pounding" | | 23 | "quickened" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 215 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 215 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 220 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1253 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 1200 | | uniqueNames | 26 | | maxNameDensity | 1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 7 | | Silas | 5 | | Evan | 1 | | Eva | 3 | | London | 1 | | Fae | 1 | | Grove | 3 | | Echoes | 1 | | Voice | 1 | | Hel | 1 | | Golden | 1 | | Empress | 1 | | Words | 1 | | Rory | 12 | | Oaks | 3 | | Minutes | 3 | | Petals | 5 | | Backpack | 3 | | Click-clack | 5 | | Torch | 3 | | Air | 4 | | Phone | 4 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Eva" | | 5 | "Echoes" | | 6 | "Voice" | | 7 | "Words" | | 8 | "Rory" | | 9 | "Oaks" | | 10 | "Minutes" | | 11 | "Petals" | | 12 | "Backpack" | | 13 | "Click-clack" | | 14 | "Torch" | | 15 | "Air" | | 16 | "Phone" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1253 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 220 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 26.1 | | std | 22.92 | | cv | 0.878 | | sampleLengths | | 0 | 108 | | 1 | 77 | | 2 | 57 | | 3 | 66 | | 4 | 69 | | 5 | 11 | | 6 | 37 | | 7 | 42 | | 8 | 34 | | 9 | 12 | | 10 | 56 | | 11 | 45 | | 12 | 24 | | 13 | 3 | | 14 | 42 | | 15 | 29 | | 16 | 48 | | 17 | 17 | | 18 | 40 | | 19 | 49 | | 20 | 9 | | 21 | 41 | | 22 | 34 | | 23 | 17 | | 24 | 8 | | 25 | 31 | | 26 | 20 | | 27 | 13 | | 28 | 26 | | 29 | 7 | | 30 | 30 | | 31 | 7 | | 32 | 7 | | 33 | 26 | | 34 | 14 | | 35 | 15 | | 36 | 8 | | 37 | 6 | | 38 | 3 | | 39 | 6 | | 40 | 10 | | 41 | 2 | | 42 | 21 | | 43 | 6 | | 44 | 6 | | 45 | 6 | | 46 | 7 | | 47 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 215 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 291 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 0 | | flaggedSentences | 19 | | totalSentences | 220 | | ratio | 0.086 | | matches | | 0 | "The Heartstone Pendant nestled against her chest, tucked beneath her jacket—a thumbnail-sized crimson gem on a silver chain, warm as fresh blood even now." | | 1 | "Answers about the pendant meant leverage—against Evan, maybe, or whatever mess Eva dragged her into last week with whispers of portals and fae nonsense." | | 2 | "The standing stones emerged first as silhouettes—ancient oaks twisted into vertical slabs, bark petrified into rune-etched monoliths." | | 3 | "She stood alone in the Fae Grove—or so the note promised." | | 4 | "Minutes ticked—five, ten—phone stayed dark when she checked." | | 5 | "Flowers crushed underheel released no scent—wrong, all wrong." | | 6 | "Torch flicked on—empty bark, runes stark black." | | 7 | "Minutes had passed—twenty?" | | 8 | "Peripheral vision caught a dart—elongated shadow stretching wrong across petals." | | 9 | "Pushed through—grass outside crunched normal." | | 10 | "Flowers reared stems tall, blossoms unfurling mouths—petal lips peeling back silent." | | 11 | "Torch swept low—indentations webbed the turf, tiny prints overlapping, leading nowhere." | | 12 | "A shape huddled at the far oak—hunched, elongated, limbs folding inward." | | 13 | "Phone buzzed sudden—signal?" | | 14 | "Boundary neared—slab loomed." | | 15 | "Grove entrance yawned innocent—oaks still, flowers dim." | | 16 | "Flat above Silas's called—lock doors, salt thresholds, call Eva." | | 17 | "Prints webbed the floorboards—tiny, overlapping." | | 18 | "Torch beam caught eyes—dozens, petal-fringed, blinking slow." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1240 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.01935483870967742 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0016129032258064516 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 220 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 220 | | mean | 5.7 | | std | 4.24 | | cv | 0.744 | | sampleLengths | | 0 | 24 | | 1 | 4 | | 2 | 17 | | 3 | 24 | | 4 | 19 | | 5 | 20 | | 6 | 4 | | 7 | 6 | | 8 | 11 | | 9 | 13 | | 10 | 15 | | 11 | 4 | | 12 | 24 | | 13 | 15 | | 14 | 9 | | 15 | 14 | | 16 | 6 | | 17 | 5 | | 18 | 1 | | 19 | 7 | | 20 | 17 | | 21 | 13 | | 22 | 16 | | 23 | 5 | | 24 | 11 | | 25 | 4 | | 26 | 5 | | 27 | 3 | | 28 | 3 | | 29 | 4 | | 30 | 11 | | 31 | 11 | | 32 | 3 | | 33 | 4 | | 34 | 5 | | 35 | 7 | | 36 | 6 | | 37 | 7 | | 38 | 9 | | 39 | 2 | | 40 | 8 | | 41 | 7 | | 42 | 9 | | 43 | 4 | | 44 | 4 | | 45 | 5 | | 46 | 10 | | 47 | 8 | | 48 | 4 | | 49 | 9 |
| |
| 88.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5409090909090909 | | totalSentences | 220 | | uniqueOpeners | 119 | |
| 96.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 173 | | matches | | 0 | "Just wind hissing through oaks," | | 1 | "Just flowers nodding in place." | | 2 | "Just oaks swaying in rhythm," | | 3 | "Just a branch drooping lower," | | 4 | "Flat above Silas's called—lock doors," |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 173 | | matches | | 0 | "She killed the headlight, swung" | | 1 | "It had throbbed all evening," | | 2 | "She scanned the treeline." | | 3 | "She checked her phone: 11:47" | | 4 | "She shoved it deep in" | | 5 | "She crossed the threshold." | | 6 | "She stood alone in the" | | 7 | "She knelt, fingers brushing a" | | 8 | "she muttered, voice flat in" | | 9 | "She pulled it free, held" | | 10 | "She paced the circle, boots" | | 11 | "She rose, circled slower." | | 12 | "She probed with her boot." | | 13 | "She tracked it, beam jittering." | | 14 | "She backed to the center," | | 15 | "She checked her phone: still" | | 16 | "She sat cross-legged, pendant dangling" | | 17 | "She stood, tested the boundary." | | 18 | "she snarled, voice booming back" | | 19 | "She yanked the chain, held" |
| | ratio | 0.179 | |
| 84.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 130 | | totalSentences | 173 | | matches | | 0 | "Aurora Carter parked her battered" | | 1 | "She killed the headlight, swung" | | 2 | "The Heartstone Pendant nestled against" | | 3 | "It had throbbed all evening," | | 4 | "Some anonymous note slipped under" | | 5 | "She scanned the treeline." | | 6 | "Deer paths twisted into bramble-choked" | | 7 | "Rory flexed her fingers, traced" | | 8 | "Answers about the pendant meant" | | 9 | "Footsteps crunched gravel as she" | | 10 | "Oaks loomed taller here, bark" | | 11 | "The air cooled sharper with" | | 12 | "She checked her phone: 11:47" | | 13 | "She shoved it deep in" | | 14 | "The standing stones emerged first" | | 15 | "Wildflowers carpeted the grass inside," | | 16 | "Rory halted at the boundary." | | 17 | "The pendant burned hot now," | | 18 | "She crossed the threshold." | | 19 | "Grass silenced under her boots." |
| | ratio | 0.751 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 173 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she muttered, voice flat in the hush" | | 1 | "she snarled, voice booming back warped" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" | | 2 | "she snarled (snarl)" | | 3 | "she panted (pant)" | | 4 | "Silas whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.833 | | effectiveRatio | 0.714 | |