| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1807 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 86.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1807 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pumping" | | 1 | "scanned" | | 2 | "traced" | | 3 | "silence" | | 4 | "stomach" |
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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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 157 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 168 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1823 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1715 | | uniqueNames | 15 | | maxNameDensity | 0.99 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 17 | | Camden | 2 | | High | 1 | | Street | 1 | | Victorian | 2 | | Raven | 1 | | Nest | 1 | | Tube | 3 | | Morris | 1 | | Shad | 1 | | Thames | 1 | | London | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Herrera" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Shad" | | 5 | "Thames" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 98 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the only real thing down here" |
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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 | 1823 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 35.06 | | std | 30.1 | | cv | 0.859 | | sampleLengths | | 0 | 57 | | 1 | 26 | | 2 | 8 | | 3 | 76 | | 4 | 3 | | 5 | 72 | | 6 | 95 | | 7 | 6 | | 8 | 9 | | 9 | 50 | | 10 | 23 | | 11 | 2 | | 12 | 38 | | 13 | 41 | | 14 | 53 | | 15 | 65 | | 16 | 9 | | 17 | 80 | | 18 | 3 | | 19 | 78 | | 20 | 50 | | 21 | 39 | | 22 | 26 | | 23 | 28 | | 24 | 57 | | 25 | 71 | | 26 | 11 | | 27 | 14 | | 28 | 144 | | 29 | 46 | | 30 | 6 | | 31 | 54 | | 32 | 3 | | 33 | 40 | | 34 | 9 | | 35 | 70 | | 36 | 63 | | 37 | 21 | | 38 | 3 | | 39 | 6 | | 40 | 26 | | 41 | 15 | | 42 | 5 | | 43 | 3 | | 44 | 11 | | 45 | 37 | | 46 | 57 | | 47 | 45 | | 48 | 49 | | 49 | 6 |
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| 96.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 157 | | matches | | 0 | "been trained" | | 1 | "were oiled" | | 2 | "been built" | | 3 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 284 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 168 | | ratio | 0.083 | | matches | | 0 | "She landed on the other side in a crouch and straightened to find herself in a wider yard — some kind of loading bay for the old Camden market buildings." | | 1 | "The noise came from behind the wall — felt more than heard, a vibration through her fingertips and up into her wrist." | | 2 | "The loading bay had only one way in and out — the lane she'd come through." | | 3 | "The unofficial whispers — the ones that came to her in pubs and parking garages from people who wouldn't give their names — said something else." | | 4 | "The door was small — she'd have to crawl through." | | 5 | "Then, for half a second, a voice — distorted, too slow, like a recording played at the wrong speed: \"...not... alone...\"" | | 6 | "The walls transitioned from concrete to older brick — Victorian engineering, the kind that lined the abandoned sections of the Tube network." | | 7 | "She passed a rusted sign bolted to the wall: PLATFORM 2 — NO PASSENGER ACCESS." | | 8 | "Hundreds of people moved through the space — no, not all of them people, though she couldn't have said what else they might be." | | 9 | "A child — or something shaped like a child — chased a ball of green fire between the stalls while vendors shouted and ducked." | | 10 | "A stall near the platform steps sold masks — every shape and size, carved from wood and bone and something that looked too pale to be either." | | 11 | "Beyond that, a cage hung from a ceiling beam, and inside it—" | | 12 | "People — things — glanced at her and looked away." | | 13 | "She pocketed her sidearm — pulling a weapon in a place like this would be either suicidal or a declaration of war, and she had no idea which." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1709 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.03159742539496782 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.005851375073142188 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 168 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 168 | | mean | 10.85 | | std | 8.34 | | cv | 0.769 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 3 | | 3 | 5 | | 4 | 3 | | 5 | 9 | | 6 | 17 | | 7 | 3 | | 8 | 5 | | 9 | 22 | | 10 | 11 | | 11 | 8 | | 12 | 22 | | 13 | 13 | | 14 | 3 | | 15 | 7 | | 16 | 1 | | 17 | 21 | | 18 | 13 | | 19 | 21 | | 20 | 9 | | 21 | 8 | | 22 | 16 | | 23 | 9 | | 24 | 30 | | 25 | 4 | | 26 | 7 | | 27 | 21 | | 28 | 6 | | 29 | 9 | | 30 | 2 | | 31 | 16 | | 32 | 25 | | 33 | 2 | | 34 | 2 | | 35 | 3 | | 36 | 4 | | 37 | 19 | | 38 | 2 | | 39 | 13 | | 40 | 1 | | 41 | 1 | | 42 | 1 | | 43 | 12 | | 44 | 10 | | 45 | 2 | | 46 | 8 | | 47 | 6 | | 48 | 22 | | 49 | 3 |
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| 41.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.32142857142857145 | | totalSentences | 168 | | uniqueOpeners | 54 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 138 | | matches | | 0 | "Then silence again." | | 1 | "Then, for half a second," | | 2 | "Instead, she held her warrant" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 138 | | matches | | 0 | "She pressed the radio mic" | | 1 | "It crashed sideways, spilling fish" | | 2 | "He didn't slow." | | 3 | "She closed the gap to" | | 4 | "He'd been standing outside The" | | 5 | "She landed on the other" | | 6 | "She scanned the yard." | | 7 | "She walked to the wall" | | 8 | "Her fingers traced the mortar" | | 9 | "She stepped back and studied" | | 10 | "She'd watched it happen with" | | 11 | "He'd been right here, and" | | 12 | "She pulled out her phone." | | 13 | "Her beam caught something near" | | 14 | "Her stomach turned." | | 15 | "She stood and kicked one" | | 16 | "She keyed her radio again." | | 17 | "She clipped it back inside" | | 18 | "She could stand." | | 19 | "She passed a rusted sign" |
| | ratio | 0.225 | |
| 57.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 138 | | matches | | 0 | "The woman stumbled." | | 1 | "Curry splashed across wet pavement." | | 2 | "Quinn didn't stop." | | 3 | "She pressed the radio mic" | | 4 | "Static answered her." | | 5 | "The rain had other ideas." | | 6 | "The figure ducked right, past" | | 7 | "Quinn's boots slapped through ankle-deep" | | 8 | "The lane stank of grease" | | 9 | "A row of industrial bins" | | 10 | "It crashed sideways, spilling fish" | | 11 | "He didn't slow." | | 12 | "She closed the gap to" | | 13 | "He'd been standing outside The" | | 14 | "The lane ended at a" | | 15 | "The suspect hit it at" | | 16 | "Quinn followed, the cold iron" | | 17 | "She landed on the other" | | 18 | "Stacks of wooden pallets." | | 19 | "A tangle of shopping trolleys" |
| | ratio | 0.804 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 138 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 4 | | matches | | 0 | "The figure ducked right, past a shuttered kebab shop and into the narrow service lane that ran behind the old Victorian storefronts." | | 1 | "The walls transitioned from concrete to older brick — Victorian engineering, the kind that lined the abandoned sections of the Tube network." | | 2 | "A man in a pinstripe suit sat on a wooden crate, his face hidden behind a plague doctor's mask, counting coins that glowed faintly blue." | | 3 | "She passed a door set into the station wall, reinforced with iron bands, guarded by two figures who stood unnaturally still, their eyes tracking her as she went…" |
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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 | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0 | | effectiveRatio | 0 | |