| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.325 | | leniency | 0.65 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1448 | | totalAiIsmAdverbs | 1 | | 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) | |
| 51.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1448 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "reminder" | | 1 | "vibrated" | | 2 | "chill" | | 3 | "echoed" | | 4 | "porcelain" | | 5 | "scanned" | | 6 | "velvet" | | 7 | "pulse" | | 8 | "looming" | | 9 | "constructed" | | 10 | "standard" | | 11 | "charged" | | 12 | "shattered" |
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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 | 149 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 149 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 26 | | totalWords | 1436 | | ratio | 0.018 | | matches | | 0 | "Impossible." | | 1 | "Morris would have loved this. He would have bagged it, tagged it, and spent three weeks reading up on Druidic rituals." | | 2 | "The Veil Market." | | 3 | "INTRUDER." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1191 | | uniqueNames | 14 | | maxNameDensity | 0.76 | | worstName | "Herrera" | | maxWindowNameDensity | 3 | | worstWindowName | "Herrera" | | discoveredNames | | Camden | 1 | | Static | 1 | | Morris | 2 | | Tube | 2 | | London | 2 | | Glock | 2 | | Druidic | 1 | | November | 1 | | Bovril | 1 | | Veil | 1 | | Rumors | 1 | | Herrera | 9 | | St | 1 | | One | 1 |
| | persons | | 0 | "Static" | | 1 | "Morris" | | 2 | "Herrera" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "Glock" | | 3 | "St" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 65.73% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he was barely jogging" | | 1 | "coat that seemed to absorb the light around him inspected a dagger that smoked" | | 2 | "looked like railway sleepers and granite" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.089 | | wordCount | 1436 | | matches | | 0 | "not with the sound of hinges turning, but with the wet, sickening noise of bending meat" | | 1 | "Not the damp chill of a London November, but the deep, dry freeze of a tomb" | | 2 | "Not the rumble of trains, but the low hum of commerce" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 175 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 18.65 | | std | 13.51 | | cv | 0.725 | | sampleLengths | | 0 | 5 | | 1 | 55 | | 2 | 9 | | 3 | 42 | | 4 | 15 | | 5 | 37 | | 6 | 27 | | 7 | 36 | | 8 | 23 | | 9 | 2 | | 10 | 3 | | 11 | 42 | | 12 | 2 | | 13 | 43 | | 14 | 25 | | 15 | 1 | | 16 | 8 | | 17 | 24 | | 18 | 30 | | 19 | 21 | | 20 | 23 | | 21 | 23 | | 22 | 7 | | 23 | 5 | | 24 | 47 | | 25 | 48 | | 26 | 18 | | 27 | 20 | | 28 | 41 | | 29 | 42 | | 30 | 3 | | 31 | 19 | | 32 | 18 | | 33 | 7 | | 34 | 29 | | 35 | 20 | | 36 | 5 | | 37 | 39 | | 38 | 8 | | 39 | 24 | | 40 | 4 | | 41 | 26 | | 42 | 5 | | 43 | 25 | | 44 | 19 | | 45 | 27 | | 46 | 1 | | 47 | 12 | | 48 | 24 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 73.62% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 211 | | matches | | 0 | "wasn't waiting" | | 1 | "were peeling" | | 2 | "was thinning" | | 3 | "were noticing" |
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| 77.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 175 | | ratio | 0.023 | | matches | | 0 | "Makeshift stalls cluttered the space, illuminated by jars filled with bioluminescent sludge—green, purple, angry red." | | 1 | "Hundreds of people—or things that looked mostly like people—milled about." | | 2 | "Herrera handed a stack of cash to the vendor—notes that looked charred around the edges." | | 3 | "The beast roared—a sound of twisting metal." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1090 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Short, curly dark hair." |
| | adverbCount | 19 | | adverbRatio | 0.01743119266055046 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0045871559633027525 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 8.21 | | std | 5.46 | | cv | 0.666 | | sampleLengths | | 0 | 3 | | 1 | 2 | | 2 | 23 | | 3 | 22 | | 4 | 3 | | 5 | 7 | | 6 | 9 | | 7 | 7 | | 8 | 6 | | 9 | 16 | | 10 | 13 | | 11 | 4 | | 12 | 7 | | 13 | 4 | | 14 | 4 | | 15 | 18 | | 16 | 4 | | 17 | 4 | | 18 | 7 | | 19 | 13 | | 20 | 4 | | 21 | 6 | | 22 | 4 | | 23 | 20 | | 24 | 5 | | 25 | 6 | | 26 | 5 | | 27 | 15 | | 28 | 8 | | 29 | 2 | | 30 | 3 | | 31 | 24 | | 32 | 6 | | 33 | 12 | | 34 | 2 | | 35 | 7 | | 36 | 20 | | 37 | 7 | | 38 | 9 | | 39 | 7 | | 40 | 8 | | 41 | 10 | | 42 | 1 | | 43 | 4 | | 44 | 2 | | 45 | 1 | | 46 | 1 | | 47 | 3 | | 48 | 8 | | 49 | 13 |
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| 61.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.44 | | totalSentences | 175 | | uniqueOpeners | 77 | |
| 25.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 129 | | matches | | 0 | "Just like the night Morris" |
| | ratio | 0.008 | |
| 43.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 129 | | matches | | 0 | "He didn't scramble." | | 1 | "He floated over it with" | | 2 | "I grunted, forcing my legs" | | 3 | "I hit the fence at" | | 4 | "I heaved up, ignored the" | | 5 | "I spat it out." | | 6 | "He sprinted toward the skeletons" | | 7 | "He didn't look tired." | | 8 | "He didn't look winded." | | 9 | "He looked like he was" | | 10 | "I checked the illuminated dial" | | 11 | "I spoke into the radio" | | 12 | "I cornered hard, my shoulder" | | 13 | "He didn't reach for a" | | 14 | "He reached into his pocket" | | 15 | "He pressed it against the" | | 16 | "I skid to a halt," | | 17 | "My hand went to the" | | 18 | "I touched the door." | | 19 | "I looked down." |
| | ratio | 0.442 | |
| 33.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 129 | | matches | | 0 | "Pain flared in my side" | | 1 | "The suspect, a slippery little" | | 2 | "He didn't scramble." | | 3 | "He floated over it with" | | 4 | "I grunted, forcing my legs" | | 5 | "I hit the fence at" | | 6 | "Fingers locked into the wire" | | 7 | "I heaved up, ignored the" | | 8 | "The landing jarred my teeth," | | 9 | "Mud coated my trousers." | | 10 | "The taste of copper filled" | | 11 | "I spat it out." | | 12 | "The ferret wasn't waiting." | | 13 | "He sprinted toward the skeletons" | | 14 | "He didn't look tired." | | 15 | "He didn't look winded." | | 16 | "He looked like he was" | | 17 | "I checked the illuminated dial" | | 18 | "This one was accelerating." | | 19 | "I spoke into the radio" |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "The suspect stood before a rusted iron door welded shut years ago, part of the abandoned Tube infrastructure that honeycombed the ground beneath London." | | 1 | "The posters on the walls were peeling, advertising war bonds and Bovril, but someone had painted over them with vibrant, shifting sigils that glowed in the low …" | | 2 | "Suspected of running an underground clinic for people who didn't exist in the census." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Herrera grabbed, trying to steer me toward the exit tunnel" | | 1 | "Herrera pulled, the blade shimmering with a faint blue light" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 7 | | fancyTags | | 0 | "I grunted (grunt)" | | 1 | "I spoke (speak)" | | 2 | "a vendor croaked (croak)" | | 3 | "he hissed (hiss)" | | 4 | "Herrera whispered (whisper)" | | 5 | "Herrera yelled (yell)" | | 6 | "I muttered (mutter)" |
| | dialogueSentences | 40 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.875 | | effectiveRatio | 0.35 | |