| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.241 | | leniency | 0.483 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1137 | | 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) | |
| 34.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1137 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoed" | | 1 | "rhythmic" | | 2 | "vibrated" | | 3 | "standard" | | 4 | "chill" | | 5 | "synthetic" | | 6 | "flicker" | | 7 | "etched" | | 8 | "flickered" | | 9 | "shattered" | | 10 | "silk" | | 11 | "familiar" | | 12 | "weight" |
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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 | 56 | | matches | (empty) | |
| 15.31% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1134 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 801 | | uniqueNames | 7 | | maxNameDensity | 1.25 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Northern | 1 | | Line | 1 | | Quinn | 10 | | Veil | 1 | | Compass | 1 | | Eva | 1 | | Market | 1 |
| | persons | | | places | (empty) | | globalScore | 0.876 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "shadows that seemed to reach out and grip our ankles" |
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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 | 1134 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 30.65 | | std | 23.25 | | cv | 0.759 | | sampleLengths | | 0 | 58 | | 1 | 9 | | 2 | 64 | | 3 | 11 | | 4 | 43 | | 5 | 5 | | 6 | 10 | | 7 | 46 | | 8 | 36 | | 9 | 2 | | 10 | 15 | | 11 | 62 | | 12 | 12 | | 13 | 60 | | 14 | 8 | | 15 | 43 | | 16 | 14 | | 17 | 26 | | 18 | 15 | | 19 | 45 | | 20 | 5 | | 21 | 9 | | 22 | 57 | | 23 | 59 | | 24 | 11 | | 25 | 66 | | 26 | 33 | | 27 | 51 | | 28 | 25 | | 29 | 4 | | 30 | 3 | | 31 | 64 | | 32 | 9 | | 33 | 51 | | 34 | 9 | | 35 | 16 | | 36 | 78 |
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| 86.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 56 | | matches | | 0 | "were blackened" | | 1 | "was shredded" | | 2 | "was charred" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 137 | | matches | | 0 | "was beginning" | | 1 | "was swinging" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 78 | | ratio | 0.064 | | matches | | 0 | "The needle didn't spin aimlessly; it vibrated, locking onto a point somewhere behind the darkened tracks where the tunnel curved into a subterranean void." | | 1 | "Beside the victim’s body lay a worn leather satchel—the kind Eva would carry, though this one was shredded at the edges, spilling dust and dried parchment onto the tracks." | | 2 | "The flesh wasn't bruised; it was charred in the shape of a perfectly geometric sigil." | | 3 | "I reached into the satchel, pulling out a small, jagged fragment of bone—a token." | | 4 | "I knew that sensation—a tear in the fabric of the city." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.023485784919653894 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012360939431396786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 14.54 | | std | 8.08 | | cv | 0.556 | | sampleLengths | | 0 | 22 | | 1 | 18 | | 2 | 18 | | 3 | 9 | | 4 | 3 | | 5 | 18 | | 6 | 23 | | 7 | 20 | | 8 | 11 | | 9 | 8 | | 10 | 11 | | 11 | 24 | | 12 | 5 | | 13 | 10 | | 14 | 7 | | 15 | 13 | | 16 | 26 | | 17 | 36 | | 18 | 2 | | 19 | 15 | | 20 | 18 | | 21 | 11 | | 22 | 7 | | 23 | 26 | | 24 | 12 | | 25 | 2 | | 26 | 29 | | 27 | 14 | | 28 | 15 | | 29 | 8 | | 30 | 15 | | 31 | 28 | | 32 | 14 | | 33 | 5 | | 34 | 19 | | 35 | 2 | | 36 | 15 | | 37 | 14 | | 38 | 8 | | 39 | 23 | | 40 | 5 | | 41 | 9 | | 42 | 12 | | 43 | 17 | | 44 | 11 | | 45 | 7 | | 46 | 2 | | 47 | 8 | | 48 | 20 | | 49 | 13 |
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| 54.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3974358974358974 | | totalSentences | 78 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 54 | | matches | | 0 | "I clicked my heavy torch" | | 1 | "I didn't turn." | | 2 | "She stood with military precision," | | 3 | "I pulled the Veil Compass" | | 4 | "She walked toward me, her" | | 5 | "She looked tired, the kind" | | 6 | "I pushed past her, moving" | | 7 | "He couldn't have been more" | | 8 | "His skin was translucent, stretched" | | 9 | "I ignored Quinn’s directive and" | | 10 | "She straightened up, her face" | | 11 | "I reached into the satchel," | | 12 | "It was smooth, worn thin" | | 13 | "I stood, my back stiffening" | | 14 | "I knew that sensation—a tear" | | 15 | "She pulled a notepad from" | | 16 | "I walked toward the edge" | | 17 | "I looked at the wall" | | 18 | "I said, not taking my" | | 19 | "I drew my breath in," |
| | ratio | 0.444 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 54 | | matches | | 0 | "The floorboards groaned under my" | | 1 | "I clicked my heavy torch" | | 2 | "I didn't turn." | | 3 | "The rhythmic tap of a" | | 4 | "Harlow Quinn stepped out from" | | 5 | "She stood with military precision," | | 6 | "I pulled the Veil Compass" | | 7 | "The brass casing felt cold," | | 8 | "The needle didn't spin aimlessly;" | | 9 | "Quinn let out a sharp," | | 10 | "She walked toward me, her" | | 11 | "She looked tired, the kind" | | 12 | "I pushed past her, moving" | | 13 | "There, slumped against a rusted" | | 14 | "He couldn't have been more" | | 15 | "His skin was translucent, stretched" | | 16 | "Quinn commanded, stepping up to" | | 17 | "I ignored Quinn’s directive and" | | 18 | "The flesh wasn't bruised; it" | | 19 | "Quinn crossed her arms, her" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "The floorboards groaned under my boots, a wet, splintering sound that echoed through the hollow chamber of the abandoned Northern Line station." | | 1 | "His skin was translucent, stretched taut over his frame, and the veins beneath were blackened, pulsing with a faint, rhythmic violet light that defied human bio…" | | 2 | "The violet glow from the wall brightened, casting long, twisted shadows that seemed to reach out and grip our ankles." | | 3 | "I fell toward the edge of the tracks as the concrete beneath the courier’s body began to slide away, revealing a drop into a darkness that had no bottom." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn persisted, though her voice lacked its usual bite" | | 1 | "I said, not taking my eyes off the crack" | | 2 | "Quinn hissed, her composure finally fracturing" |
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| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "Quinn hissed (hiss)" |
| | dialogueSentences | 29 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0.5 | | effectiveRatio | 0.138 | |