| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1306 | | 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) | |
| 15.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1306 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "weight" | | 1 | "beacon" | | 2 | "fractured" | | 3 | "glint" | | 4 | "maw" | | 5 | "scanning" | | 6 | "gloom" | | 7 | "footsteps" | | 8 | "echoed" | | 9 | "chill" | | 10 | "unravel" | | 11 | "perfect" | | 12 | "silence" | | 13 | "depths" | | 14 | "tapestry" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 118 | | matches | (empty) | |
| 70.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 16 | | totalWords | 1304 | | ratio | 0.012 | | matches | | 0 | "Turn back. File a report. Get a warrant. Get a team." | | 1 | "Morris. What did you find?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1224 | | uniqueNames | 9 | | maxNameDensity | 0.74 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 9 | | London | 1 | | Veil | 3 | | Market | 3 | | Morris | 5 | | Northern | 1 | | Line | 1 | | Tube | 1 | | Harlow | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Morris" | | 3 | "Harlow" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 59.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like an age, the stairs levelled o" | | 1 | "not quite" | | 2 | "quite language" |
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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 | 1304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 50.15 | | std | 27.69 | | cv | 0.552 | | sampleLengths | | 0 | 82 | | 1 | 61 | | 2 | 76 | | 3 | 84 | | 4 | 72 | | 5 | 84 | | 6 | 25 | | 7 | 67 | | 8 | 44 | | 9 | 15 | | 10 | 29 | | 11 | 22 | | 12 | 29 | | 13 | 24 | | 14 | 75 | | 15 | 19 | | 16 | 27 | | 17 | 11 | | 18 | 31 | | 19 | 32 | | 20 | 84 | | 21 | 88 | | 22 | 102 | | 23 | 37 | | 24 | 63 | | 25 | 21 |
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| 96.34% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 118 | | matches | | 0 | "was gone" | | 1 | "was drawn" | | 2 | "got compromised" |
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| 95.29% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 191 | | matches | | 0 | "was biting" | | 1 | "was weaving" | | 2 | "wasn’t just unravelling" |
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| 48.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 121 | | ratio | 0.033 | | matches | | 0 | "A quick flash of his face in a shop window’s reflection—pale, gaunt, eyes wide with more than just the chase—had confirmed he was one of them." | | 1 | "It wasn’t just a lack of noise; it was an active, swallowing quiet." | | 2 | "The air here was different—dry, but thick with that impossible scent, now layered with the smell of hot wax, ancient paper, and something vaguely biological, like a wet dog but not quite." | | 3 | "The thread she’d pulled wasn’t just unravelling a case; it was weaving her into its tapestry." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 397 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.02518891687657431 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005037783375314861 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 10.78 | | std | 6.86 | | cv | 0.637 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 18 | | 3 | 26 | | 4 | 20 | | 5 | 26 | | 6 | 8 | | 7 | 7 | | 8 | 18 | | 9 | 20 | | 10 | 13 | | 11 | 8 | | 12 | 5 | | 13 | 2 | | 14 | 10 | | 15 | 9 | | 16 | 7 | | 17 | 2 | | 18 | 5 | | 19 | 32 | | 20 | 3 | | 21 | 17 | | 22 | 9 | | 23 | 14 | | 24 | 13 | | 25 | 12 | | 26 | 7 | | 27 | 9 | | 28 | 14 | | 29 | 3 | | 30 | 7 | | 31 | 13 | | 32 | 25 | | 33 | 14 | | 34 | 25 | | 35 | 8 | | 36 | 9 | | 37 | 8 | | 38 | 11 | | 39 | 13 | | 40 | 22 | | 41 | 6 | | 42 | 13 | | 43 | 2 | | 44 | 16 | | 45 | 10 | | 46 | 5 | | 47 | 13 | | 48 | 10 | | 49 | 5 |
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| 56.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.371900826446281 | | totalSentences | 121 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 110 | | matches | | 0 | "She didn’t feel the cold" | | 1 | "He’d darted from the alley" | | 2 | "She couldn’t afford to let" | | 3 | "He hit the fence at" | | 4 | "She leapt, fingers finding cold," | | 5 | "She landed in a crouch," | | 6 | "She’d spent three years piecing" | | 7 | "She’d felt the unnatural chill" | | 8 | "She entered the tunnel, the" | | 9 | "Her torch beam cut a" | | 10 | "They were no longer running" | | 11 | "She found him at the" | | 12 | "He stood there, panting, a" | | 13 | "It wasn’t a normal knife." | | 14 | "His voice was reedy, strained." | | 15 | "Her weapon was drawn but" | | 16 | "He laughed, a sharp, cracking" | | 17 | "She took a step forward" | | 18 | "His face twisted." | | 19 | "It was wrong." |
| | ratio | 0.3 | |
| 64.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 110 | | matches | | 0 | "Harlow Quinn’s boots slapped against" | | 1 | "She didn’t feel the cold" | | 2 | "The suspect, a wiry figure" | | 3 | "He’d darted from the alley" | | 4 | "A quick flash of his" | | 5 | "Another loose end from the" | | 6 | "She couldn’t afford to let" | | 7 | "The word was a guttural" | | 8 | "The figure glanced back once," | | 9 | "Quinn pumped her legs harder," | | 10 | "Morris would have called this" | | 11 | "An alley was a funnel." | | 12 | "The alley reeked of stale" | | 13 | "A chain-link fence blocked the" | | 14 | "He hit the fence at" | | 15 | "Quinn didn’t hesitate." | | 16 | "She leapt, fingers finding cold," | | 17 | "She landed in a crouch," | | 18 | "Yards of cracked concrete stretched" | | 19 | "A faded sign above it" |
| | ratio | 0.791 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 110 | | matches | | 0 | "To her left, the dark," | | 1 | "To her immediate right, a" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 2 | | matches | | 0 | "She found him at the top of a spiralling iron staircase that descended into perfect blackness." | | 1 | "Flickering, shadowless candles burned in iron sconces, casting a dim, orange glow that didn’t seem to reach the vaulted ceiling." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |