| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1170 | | 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) | |
| 78.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1170 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "fractured" | | 1 | "echo" | | 2 | "footsteps" | | 3 | "resolved" | | 4 | "resolving" |
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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 | 58 | | matches | (empty) | |
| 68.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1181 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1148 | | uniqueNames | 13 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Herrera | 9 | | Wardour | 1 | | Street | 1 | | Camden | 2 | | Morris | 3 | | Deptford | 1 | | Tube | 2 | | Quinn | 10 | | Heads | 1 | | London | 1 |
| | persons | | 0 | "Nest" | | 1 | "Herrera" | | 2 | "Morris" | | 3 | "Quinn" | | 4 | "Heads" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Wardour" | | 3 | "Street" | | 4 | "Camden" | | 5 | "Deptford" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 3 | | matches | | 0 | "murmur that seemed to come from the walls themselves" | | 1 | "quite music and wasn't quite voices, a low murmur that seemed to come from the walls themselves" | | 2 | "something like a market — voices haggling, t" | | 3 | "sounded like coin but rang wrong, too high" | | 4 | "quite triumph and wasn't quite pity" | | 5 | "quite pity" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.847 | | wordCount | 1181 | | matches | | 0 | "not once, but twice in the space of ten seconds, the tell of a man who kne" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 62 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 39.37 | | std | 27.82 | | cv | 0.707 | | sampleLengths | | 0 | 55 | | 1 | 74 | | 2 | 2 | | 3 | 53 | | 4 | 2 | | 5 | 45 | | 6 | 63 | | 7 | 94 | | 8 | 11 | | 9 | 55 | | 10 | 12 | | 11 | 14 | | 12 | 61 | | 13 | 56 | | 14 | 5 | | 15 | 69 | | 16 | 33 | | 17 | 10 | | 18 | 64 | | 19 | 7 | | 20 | 109 | | 21 | 23 | | 22 | 36 | | 23 | 23 | | 24 | 35 | | 25 | 36 | | 26 | 13 | | 27 | 54 | | 28 | 56 | | 29 | 11 |
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| 87.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 58 | | matches | | 0 | "being followed" | | 1 | "were plastered" | | 2 | "been built" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 195 | | matches | | 0 | "was heading" | | 1 | "was coming " |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 62 | | ratio | 0.145 | | matches | | 0 | "Herrera's had gone wrong the moment he glanced back over his shoulder — not once, but twice in the space of ten seconds, the tell of a man who knew he was being followed and hadn't decided yet whether to bolt." | | 1 | "He never did, these ones — the clique's people." | | 2 | "That was the problem with everything about this case — the not knowing, the way the ground kept shifting under her the way it had shifted three years ago, when Morris walked into a warehouse in Deptford and came out wrong, came out screaming about things with too many teeth, and then didn't come out at all." | | 3 | "Beyond the barrier, a set of concrete stairs led down into darkness — an abandoned Tube entrance, the kind the city had a dozen of, sealed and forgotten decades ago except this one wasn't sealed." | | 4 | "The way his hand had felt when they pulled what was left of him out — cold in a way that had nothing to do with temperature." | | 5 | "Then, ahead, a warm orange light bled around a corner, and the murmur resolved into something like a market — voices haggling, the clink of coin or something that sounded like coin but rang wrong, too high, too clear." | | 6 | "A man — if he was a man — stood seven feet tall with a face that kept almost resolving into a face and then didn't." | | 7 | "A figure near the nearest stall — squat, hooded, its hands too many-fingered — turned its head toward Quinn with unhurried interest, the way a spider might regard something caught at the edge of its web." | | 8 | "Of eighteen years of cases that never quite closed, of files marked *unexplained* that she'd kept in a drawer at home instead of the archive, because some part of her had always known this moment was coming — the moment the ground finally gave way and showed her what was underneath." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1140 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.034210526315789476 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0035087719298245615 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 19.05 | | std | 12.71 | | cv | 0.667 | | sampleLengths | | 0 | 24 | | 1 | 31 | | 2 | 21 | | 3 | 12 | | 4 | 41 | | 5 | 2 | | 6 | 22 | | 7 | 31 | | 8 | 2 | | 9 | 2 | | 10 | 9 | | 11 | 34 | | 12 | 16 | | 13 | 20 | | 14 | 27 | | 15 | 4 | | 16 | 28 | | 17 | 5 | | 18 | 57 | | 19 | 11 | | 20 | 28 | | 21 | 27 | | 22 | 8 | | 23 | 4 | | 24 | 10 | | 25 | 4 | | 26 | 26 | | 27 | 20 | | 28 | 15 | | 29 | 35 | | 30 | 21 | | 31 | 5 | | 32 | 35 | | 33 | 34 | | 34 | 4 | | 35 | 2 | | 36 | 27 | | 37 | 10 | | 38 | 25 | | 39 | 39 | | 40 | 7 | | 41 | 25 | | 42 | 27 | | 43 | 16 | | 44 | 26 | | 45 | 15 | | 46 | 18 | | 47 | 5 | | 48 | 36 | | 49 | 18 |
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| 56.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3870967741935484 | | totalSentences | 62 | | uniqueOpeners | 24 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | 0 | "Then, ahead, a warm orange" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 54 | | matches | | 0 | "She fell into step half" | | 1 | "He never did, these ones" | | 2 | "He was heading south." | | 3 | "She shoved the memory down" | | 4 | "She slowed, hand drifting toward" | | 5 | "she called into the dark" | | 6 | "She followed the voice through" | | 7 | "She thought of Morris." | | 8 | "she muttered, and went down" | | 9 | "She rounded the corner and" | | 10 | "They all glanced at her." | | 11 | "it said, and the word" | | 12 | "he called back, breathing hard," | | 13 | "She thought of Morris again." |
| | ratio | 0.259 | |
| 24.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 54 | | matches | | 0 | "Quinn had been watching the" | | 1 | "She fell into step half" | | 2 | "Herrera's had gone wrong the" | | 3 | "Quinn broke into a run" | | 4 | "Herrera cut left down an" | | 5 | "He never did, these ones" | | 6 | "The alley spat them out" | | 7 | "Herrera's dark curls were plastered" | | 8 | "Quinn's watch had crept up" | | 9 | "He was heading south." | | 10 | "Quinn didn't know the reason." | | 11 | "That was the problem with" | | 12 | "She shoved the memory down" | | 13 | "Herrera ducked into the mouth" | | 14 | "She slowed, hand drifting toward" | | 15 | "she called into the dark" | | 16 | "A laugh answered her, short" | | 17 | "She followed the voice through" | | 18 | "Herrera was thirty feet ahead," | | 19 | "Quinn went over after him," |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 17.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 7 | | matches | | 0 | "Rain hammered the pavement outside the Raven's Nest, turning Soho's cobblestones into black mirrors that fractured the green neon into a hundred bleeding fragme…" | | 1 | "Herrera cut left down an alley between a shuttered kebab shop and a launderette, and she followed, skidding on wet brick, catching herself against a dumpster th…" | | 2 | "Three years of chasing shadows that dissolved the moment she got close enough to touch them, and every one of them ran like they had somewhere better to be than…" | | 3 | "She followed the voice through the underpass and out the other side, into an old service road that ran along a fenced-off stretch of derelict railway." | | 4 | "Herrera was thirty feet ahead, vaulting a low barrier with the easy economy of a man who'd done it before." | | 5 | "Rain sheeted off the broken awning above the stairwell, and somewhere below she could hear something that wasn't quite music and wasn't quite voices, a low murm…" | | 6 | "Stalls had been built from scavenged Tube signage and shipping crates, and behind them stood figures that made her hand go, without thinking, back to her baton." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "it said, and the word carried down the platform like a struck bell, rippling through the crowd" | | 1 | "Quinn said, though her voice came out thinner than she wanted" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "he called back (call back)" |
| | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.4 | | effectiveRatio | 0.4 | |