| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1257 | | 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) | |
| 36.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1257 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "gloom" | | 1 | "weight" | | 2 | "shattered" | | 3 | "scanned" | | 4 | "flickered" | | 5 | "etched" | | 6 | "silence" | | 7 | "rhythmic" | | 8 | "pulse" | | 9 | "calculated" | | 10 | "perfect" | | 11 | "processed" | | 12 | "echoing" |
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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 | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 91.38% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1251 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1251 | | uniqueNames | 13 | | maxNameDensity | 0.96 | | worstName | "Miller" | | maxWindowNameDensity | 2 | | worstWindowName | "Miller" | | discoveredNames | | Camden | 2 | | Harlow | 8 | | Quinn | 1 | | Veil | 1 | | Market | 1 | | Detective | 2 | | Sergeant | 1 | | Miller | 12 | | Morris | 1 | | July | 1 | | Eva | 1 | | Kowalski | 1 | | You | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a cauterized ink blot, surrou" |
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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 | 1251 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 29.09 | | std | 18.34 | | cv | 0.63 | | sampleLengths | | 0 | 76 | | 1 | 25 | | 2 | 50 | | 3 | 41 | | 4 | 16 | | 5 | 47 | | 6 | 13 | | 7 | 21 | | 8 | 55 | | 9 | 77 | | 10 | 26 | | 11 | 25 | | 12 | 30 | | 13 | 14 | | 14 | 39 | | 15 | 15 | | 16 | 12 | | 17 | 50 | | 18 | 52 | | 19 | 13 | | 20 | 30 | | 21 | 15 | | 22 | 16 | | 23 | 47 | | 24 | 17 | | 25 | 30 | | 26 | 5 | | 27 | 38 | | 28 | 13 | | 29 | 21 | | 30 | 15 | | 31 | 5 | | 32 | 17 | | 33 | 63 | | 34 | 11 | | 35 | 40 | | 36 | 57 | | 37 | 20 | | 38 | 19 | | 39 | 14 | | 40 | 26 | | 41 | 18 | | 42 | 17 |
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| 86.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 111 | | matches | | 0 | "been sealed" | | 1 | "was clenched" | | 2 | "being hunted" | | 3 | "was processed" | | 4 | "was shredded" | | 5 | "was compromised" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 204 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 111 | | ratio | 0.063 | | matches | | 0 | "This was the Veil Market in its dormant state, yet the air tasted of burnt ozone and copper—the distinct metallic tang of a recent rift." | | 1 | "She looked at the shoes—high-end oxfords, polished to a mirror shine that defied the filth of the station." | | 2 | "Beneath a rusted grate, she spotted it—the worn brass casing of a compass, its patina thick with verdigris and etched with sigils that made her vision swim if she stared too long." | | 3 | "The silence of the station was heavy, pressed down by the weight of the city above, but underneath it lay a rhythmic pulse—the sound of a lung expanding." | | 4 | "A singular, puncture-like mark marred the skin—not a bite, not a bullet wound." | | 5 | "They didn't just kill him; they ritualized the exit point." | | 6 | "But the forensics protocol requires—" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1259 | | adjectiveStacks | 1 | | stackExamples | | 0 | "against broken ceramic tiles." |
| | adverbCount | 29 | | adverbRatio | 0.023034154090548053 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010325655281969817 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 11.27 | | std | 6.75 | | cv | 0.599 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 21 | | 3 | 20 | | 4 | 25 | | 5 | 19 | | 6 | 12 | | 7 | 19 | | 8 | 16 | | 9 | 7 | | 10 | 18 | | 11 | 7 | | 12 | 4 | | 13 | 5 | | 14 | 25 | | 15 | 12 | | 16 | 10 | | 17 | 6 | | 18 | 7 | | 19 | 8 | | 20 | 3 | | 21 | 2 | | 22 | 8 | | 23 | 3 | | 24 | 6 | | 25 | 14 | | 26 | 2 | | 27 | 6 | | 28 | 24 | | 29 | 12 | | 30 | 7 | | 31 | 12 | | 32 | 14 | | 33 | 32 | | 34 | 13 | | 35 | 13 | | 36 | 7 | | 37 | 4 | | 38 | 14 | | 39 | 5 | | 40 | 7 | | 41 | 10 | | 42 | 8 | | 43 | 5 | | 44 | 8 | | 45 | 1 | | 46 | 11 | | 47 | 28 | | 48 | 8 | | 49 | 7 |
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| 40.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.32432432432432434 | | totalSentences | 111 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 40.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 105 | | matches | | 0 | "His left arm twisted behind" | | 1 | "She didn't look at the" | | 2 | "She looked at the shoes—high—end" | | 3 | "He didn't walk here." | | 4 | "He arrived in a heartbeat." | | 5 | "He stared at the ceiling," | | 6 | "He came through a tear," | | 7 | "She finally tilted her light" | | 8 | "She stood, her sharp jaw" | | 9 | "She scanned the perimeter of" | | 10 | "She moved toward it, her" | | 11 | "She reached down, her gloved" | | 12 | "He wasn't a victim of" | | 13 | "He was a courier." | | 14 | "You’re tilting toward the occult" | | 15 | "It’s a dead financier with" | | 16 | "He probably fell from the" | | 17 | "She pressed the compass into" | | 18 | "You’re hearing the ventilation system," | | 19 | "She turned back to the" |
| | ratio | 0.448 | |
| 36.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 105 | | matches | | 0 | "The humidity of the abandoned" | | 1 | "Condensation dripped from rusted iron" | | 2 | "Detective Harlow Quinn stepped over" | | 3 | "The beam of her tactical" | | 4 | "This was the Veil Market" | | 5 | "The victim, a man in" | | 6 | "His left arm twisted behind" | | 7 | "Harlow knelt, the leather of" | | 8 | "She didn't look at the" | | 9 | "She looked at the shoes—high—end" | | 10 | "He didn't walk here." | | 11 | "He arrived in a heartbeat." | | 12 | "The voice belonged to Sergeant" | | 13 | "Miller leaned against a support" | | 14 | "He stared at the ceiling," | | 15 | "People don't materialize in decommissioned" | | 16 | "The soot on his jacket" | | 17 | "He came through a tear," | | 18 | "Harlow didn't respond." | | 19 | "She finally tilted her light" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 6 | | matches | | 0 | "The beam of her tactical light cut through the gloom, illuminating thick cobwebs that sagged under the weight of grime." | | 1 | "But the pocket of his jacket gaped open, exposing the jagged edge of a leather satchel strap that hung uselessly by a broken buckle." | | 2 | "Beneath a rusted grate, she spotted it—the worn brass casing of a compass, its patina thick with verdigris and etched with sigils that made her vision swim if s…" | | 3 | "He bought his way into a room that didn't want him." | | 4 | "There were no footprints leading away from the corpse, but there were distinct, scorched indentations that formed a perfect circle around where he fell." | | 5 | "As they ascended, the temperature plummeted further, and the faint, rhythmic thumping of the unseen heart grew into a deafening, bass-heavy vibration that shook…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |