| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1310 | | 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) | |
| 23.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1310 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "silence" | | 1 | "profound" | | 2 | "flickered" | | 3 | "scanned" | | 4 | "rhythmic" | | 5 | "echo" | | 6 | "predator" | | 7 | "pulsed" | | 8 | "pulse" | | 9 | "whisper" | | 10 | "stomach" | | 11 | "velvet" | | 12 | "searing" | | 13 | "warmth" | | 14 | "beacon" | | 15 | "loomed" | | 16 | "throbbed" | | 17 | "variable" |
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| 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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 49 | | totalWords | 1307 | | ratio | 0.037 | | matches | | 0 | "Nearer," | | 1 | "Something." | | 2 | "Click-drip. Click-drip." | | 3 | "Hel." | | 4 | "Portal. Danger." | | 5 | "\"Rory, come here, you're lost.\"" | | 6 | "Sensation is real. Pain is real. The voice is not." | | 7 | "If it's a beacon, hiding the light makes me invisible. If it's a key, hiding it locks me out. I need to know which lever I'm pulling." |
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| 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 | 21 | | wordCount | 1294 | | uniqueNames | 10 | | maxNameDensity | 0.62 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Cardiff | 1 | | Evan | 2 | | London | 1 | | Heartstone | 3 | | Like | 2 | | Jennifer | 1 | | Carter | 1 | | Rory | 8 |
| | persons | | 0 | "Evan" | | 1 | "Heartstone" | | 2 | "Jennifer" | | 3 | "Carter" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | 0 | "as if bowing to a new variable" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.295 | | wordCount | 1307 | | matches | | 0 | "Not a rhythm, but a thrum" | | 1 | "not rock, but ancient oak torsos ripped from the earth, their tops gnarled" | | 2 | "not with the recoil of irritation, but with the slow, hydraulic retraction of a trap resetting" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 146 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 48.41 | | std | 34.39 | | cv | 0.71 | | sampleLengths | | 0 | 124 | | 1 | 61 | | 2 | 94 | | 3 | 6 | | 4 | 92 | | 5 | 2 | | 6 | 48 | | 7 | 16 | | 8 | 43 | | 9 | 69 | | 10 | 7 | | 11 | 93 | | 12 | 10 | | 13 | 36 | | 14 | 81 | | 15 | 33 | | 16 | 7 | | 17 | 44 | | 18 | 62 | | 19 | 83 | | 20 | 3 | | 21 | 85 | | 22 | 8 | | 23 | 65 | | 24 | 60 | | 25 | 13 | | 26 | 62 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 32.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 239 | | matches | | 0 | "was pulsing" | | 1 | "was standing" | | 2 | "was carrying" | | 3 | "was searing" | | 4 | "was contracting" | | 5 | "was standing" |
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| 45.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 146 | | ratio | 0.034 | | matches | | 0 | "The blackberry brambles didn't snap; they parted, curling back with the deliberate slowness of opening eyelids." | | 1 | "Bluebells, anemones, foxgloves—the impossible jumble of every season forced into a single tangled carpet." | | 2 | "For a fraction of a second, it held the shape of a person—shoulders hunched, head tilted, arm outstretched—before melting back into the darkness behind the oak." | | 3 | "She walked forward; the boundary didn't recede." | | 4 | "She stopped; the stones loomed larger." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1303 | | adjectiveStacks | 1 | | stackExamples | | 0 | "damp, diesel-tainted air" |
| | adverbCount | 29 | | adverbRatio | 0.022256331542594012 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004604758250191865 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 8.95 | | std | 6.65 | | cv | 0.743 | | sampleLengths | | 0 | 16 | | 1 | 13 | | 2 | 22 | | 3 | 11 | | 4 | 14 | | 5 | 3 | | 6 | 26 | | 7 | 19 | | 8 | 9 | | 9 | 14 | | 10 | 13 | | 11 | 6 | | 12 | 11 | | 13 | 7 | | 14 | 1 | | 15 | 20 | | 16 | 12 | | 17 | 30 | | 18 | 4 | | 19 | 2 | | 20 | 26 | | 21 | 6 | | 22 | 4 | | 23 | 14 | | 24 | 4 | | 25 | 4 | | 26 | 6 | | 27 | 10 | | 28 | 23 | | 29 | 5 | | 30 | 3 | | 31 | 4 | | 32 | 15 | | 33 | 2 | | 34 | 2 | | 35 | 12 | | 36 | 1 | | 37 | 4 | | 38 | 4 | | 39 | 1 | | 40 | 8 | | 41 | 16 | | 42 | 3 | | 43 | 4 | | 44 | 9 | | 45 | 2 | | 46 | 1 | | 47 | 1 | | 48 | 8 | | 49 | 8 |
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| 36.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.3287671232876712 | | totalSentences | 146 | | uniqueOpeners | 48 | |
| 51.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 129 | | matches | | 0 | "Then, from directly above, a" | | 1 | "Then, a sound from right" |
| | ratio | 0.016 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 129 | | matches | | 0 | "She didn't comment." | | 1 | "She reached up through the" | | 2 | "She moved forward, boots whispering" | | 3 | "They formed a perimeter." | | 4 | "She knelt, brushing past a" | | 5 | "She pulled her hand back." | | 6 | "She was alone." | | 7 | "She had to be." | | 8 | "Her bright blue eyes scanned" | | 9 | "It came from the three" | | 10 | "Her voice didn't echo." | | 11 | "She was already inside." | | 12 | "She clenched her chest, thumb" | | 13 | "She was standing on the" | | 14 | "She turned her head sharply." | | 15 | "He liked it when she" | | 16 | "She wouldn't give this place" | | 17 | "She would give it nothing" | | 18 | "She took a step toward" | | 19 | "Her stomach turned." |
| | ratio | 0.333 | |
| 45.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 129 | | matches | | 0 | "The blackberry brambles didn't snap;" | | 1 | "Rory stepped through the break" | | 2 | "The damp, diesel-tainted air of" | | 3 | "The numbers scrolled erratically, tumbling" | | 4 | "She didn't comment." | | 5 | "Panic was a luxury she'd" | | 6 | "The Heartstone pressed against her" | | 7 | "She reached up through the" | | 8 | "The gem, a deep crimson" | | 9 | "She moved forward, boots whispering" | | 10 | "The grove opened up, a" | | 11 | "They formed a perimeter." | | 12 | "Wildflowers choked the ground." | | 13 | "Bluebells, anemones, foxgloves—the impossible jumble" | | 14 | "Rory knew the lore." | | 15 | "The flora bloomed year-round." | | 16 | "She knelt, brushing past a" | | 17 | "The leaf curled away from" | | 18 | "She pulled her hand back." | | 19 | "She was alone." |
| | ratio | 0.829 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 129 | | matches | | 0 | "Now, in a grey flat" | | 1 | "If it's a predator, it" | | 2 | "If it's a trap, it" | | 3 | "To her left, a shadow" | | 4 | "If it's a key, hiding" |
| | ratio | 0.039 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 10 | | matches | | 0 | "She moved forward, boots whispering on moss that felt impossibly soft, spongy with moisture that shouldn't exist in this season." | | 1 | "It came from the three o'clock position, behind a cluster of white daisies that stood shoulder-high." | | 2 | "The heat jumped, a sharp spike that made her breath hitch." | | 3 | "*Hel.* The word surfaced from the fragment of knowledge she'd pieced together from the mysterious benefactor who'd pressed this into her palm." | | 4 | "A texture of sound that approximated her mother's tone, Jennifer's gentle scolding, stripped of breath and reassembled from static." | | 5 | "She clenched her fist, nails digging into her palm, grounding herself in the sensation." | | 6 | "The command of a woman who delivered packages through riots and dodged abusive exes by learning to vanish in plain sight." | | 7 | "Hundreds of blooms swiveling in unison, their centers facing her." | | 8 | "Something that had been mimicking her loved ones, testing her reactions, measuring her fear like a barometer." | | 9 | "The wildflowers shuddered, their heads dipping as if bowing to a new variable." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she breathed, her voice steady, a challenge hurled into the dark" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |