| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1106 | | 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) | |
| 59.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1106 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "glint" | | 1 | "pulsed" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "weight" | | 5 | "gloom" | | 6 | "pulse" | | 7 | "thundered" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 52 | | totalWords | 1099 | | ratio | 0.047 | | matches | | 0 | "Spooks and shadows, Harlow. People who want you to think they're more than they are." | | 1 | "Unexplained circumstances." | | 2 | "suspect fled into a disused Tube station beneath Camden, sir, and there's a market down there, sir, a market that shouldn't be there" | | 3 | "It moves," | | 4 | "Every full moon it picks up and goes somewhere new." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1088 | | uniqueNames | 14 | | maxNameDensity | 0.55 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 6 | | Herrera | 5 | | Met | 1 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Morris | 3 | | Harlow | 1 | | Three | 2 | | Tube | 2 | | Camden | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Raven" | | 3 | "Silas" | | 4 | "Morris" | | 5 | "Market" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.91 | | wordCount | 1099 | | matches | | 0 | "not the cold white of working lights but something warmer, amber" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 43.96 | | std | 33.39 | | cv | 0.76 | | sampleLengths | | 0 | 114 | | 1 | 20 | | 2 | 28 | | 3 | 90 | | 4 | 85 | | 5 | 69 | | 6 | 12 | | 7 | 82 | | 8 | 63 | | 9 | 6 | | 10 | 57 | | 11 | 90 | | 12 | 25 | | 13 | 2 | | 14 | 81 | | 15 | 8 | | 16 | 35 | | 17 | 72 | | 18 | 58 | | 19 | 6 | | 20 | 42 | | 21 | 13 | | 22 | 18 | | 23 | 19 | | 24 | 4 |
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| 87.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 81 | | matches | | 0 | "was gone" | | 1 | "been sealed" | | 2 | "been slammed" | | 3 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 192 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 82 | | ratio | 0.098 | | matches | | 0 | "They had a sense for it, this crowd—Silas and his quiet patrons, the ones who looked at her like she was a problem they hadn't decided how to solve yet." | | 1 | "Not dead—gone, in the way the file refused to explain, the way her superiors had closed the matter with words that meant nothing." | | 2 | "Beyond it, the dark went down and kept going, and somewhere in that dark a faint glow pulsed—not the cold white of working lights but something warmer, amber and unsteady, the color of candle flame seen through water." | | 3 | "If she radioed it in—*suspect fled into a disused Tube station beneath Camden, sir, and there's a market down there, sir, a market that shouldn't be there*—they'd pull her in, sit her down, ask about her sleep, her drinking, her partner she still talked about in the present tense." | | 4 | "The walls changed as she went—tile giving way to older brick, then to surfaces she couldn't name, slick and dark and faintly warm beneath her trailing fingers." | | 5 | "Beyond the curtain she could see slivers of it now—stalls strung with lanterns that burned no fuel, jars that pulsed with their own light, a hundred faces turned and trading in the gloom." | | 6 | "For half a second their eyes met across the impossible space—his warm brown gone wide with something that wasn't quite fear." | | 7 | "Somewhere in its shadow, something considered her—and behind it, the market breathed and glittered and waited." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1098 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.029143897996357013 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0018214936247723133 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.4 | | std | 10.6 | | cv | 0.791 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 17 | | 3 | 55 | | 4 | 2 | | 5 | 2 | | 6 | 16 | | 7 | 14 | | 8 | 3 | | 9 | 11 | | 10 | 13 | | 11 | 14 | | 12 | 17 | | 13 | 12 | | 14 | 9 | | 15 | 25 | | 16 | 11 | | 17 | 37 | | 18 | 7 | | 19 | 30 | | 20 | 13 | | 21 | 4 | | 22 | 17 | | 23 | 23 | | 24 | 12 | | 25 | 12 | | 26 | 19 | | 27 | 20 | | 28 | 5 | | 29 | 38 | | 30 | 8 | | 31 | 10 | | 32 | 13 | | 33 | 1 | | 34 | 6 | | 35 | 25 | | 36 | 6 | | 37 | 11 | | 38 | 3 | | 39 | 11 | | 40 | 17 | | 41 | 15 | | 42 | 6 | | 43 | 13 | | 44 | 49 | | 45 | 22 | | 46 | 4 | | 47 | 7 | | 48 | 14 | | 49 | 2 |
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| 65.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.45121951219512196 | | totalSentences | 82 | | uniqueOpeners | 37 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Even soaked to the bone," | | 1 | "Somewhere in its shadow, something" |
| | ratio | 0.027 | |
| 83.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 73 | | matches | | 0 | "She ran with her elbows" | | 1 | "Her voice cracked off the" | | 2 | "He didn't slow." | | 3 | "They never did, not the" | | 4 | "He cut left into an" | | 5 | "She took the corner too" | | 6 | "She matched him, the old" | | 7 | "She'd been following him for" | | 8 | "He'd known the moment she" | | 9 | "They had a sense for" | | 10 | "She crouched at the top" | | 11 | "She could hear it now," | | 12 | "She'd watched a dozen rookies" | | 13 | "She knew that the way" | | 14 | "They'd close it the way" | | 15 | "She understood, somehow, what was" | | 16 | "She had nothing but her" | | 17 | "She'd heard the name whispered" | | 18 | "*It moves,* he'd said." | | 19 | "He glanced back." |
| | ratio | 0.342 | |
| 90.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 73 | | matches | | 0 | "Rain came down in sheets," | | 1 | "She ran with her elbows" | | 2 | "The man wove between bollards" | | 3 | "The one who patched up" | | 4 | "Her voice cracked off the" | | 5 | "He didn't slow." | | 6 | "They never did, not the" | | 7 | "He cut left into an" | | 8 | "She took the corner too" | | 9 | "The alley narrowed, choked with" | | 10 | "She matched him, the old" | | 11 | "She'd been following him for" | | 12 | "He'd known the moment she" | | 13 | "They had a sense for" | | 14 | "*Spooks and shadows, Harlow." | | 15 | "People who want you to" | | 16 | "Herrera skidded around the end" | | 17 | "Quinn slowed, heart hammering, and" | | 18 | "The alley dead-ended in a" | | 19 | "A rusted gate hung open." |
| | ratio | 0.74 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "If she radioed it in—*suspect" |
| | ratio | 0.014 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "Even soaked to the bone, even at a dead sprint, she clocked the details her training never let her forget: olive skin gone sallow under the streetlights, a glin…" | | 1 | "She took the corner too fast, her shoulder clipping wet brick, pain blooming bright down her arm." | | 2 | "The alley dead-ended in a sunken stairwell, the kind that led to the maintenance bowels of an abandoned Tube line." | | 3 | "If she radioed it in—*suspect fled into a disused Tube station beneath Camden, sir, and there's a market down there, sir, a market that shouldn't be there*—they…" | | 4 | "She'd heard the name whispered by a dying informant who'd laughed at her for not believing." | | 5 | "For half a second their eyes met across the impossible space—his warm brown gone wide with something that wasn't quite fear." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |