| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stepped aside [aside]" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |
| 95.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1044 | | 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) | |
| 76.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1044 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "could feel" | | 2 | "churned" | | 3 | "etched" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1058 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 985 | | uniqueNames | 15 | | maxNameDensity | 1.02 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Dean | 1 | | Street | 1 | | Raven | 1 | | Nest | 2 | | Soho | 1 | | Quinn | 10 | | Forensics | 1 | | Met | 1 | | Northern | 1 | | Line | 1 | | Victorian | 1 | | Lewisham | 1 | | Morris | 2 | | Bermondsey | 1 | | Market | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Quinn" | | 3 | "Met" | | 4 | "Morris" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Lewisham" | | 4 | "Bermondsey" |
| | globalScore | 0.992 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a wooden door set into the br" |
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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 | 1058 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 36.48 | | std | 27.06 | | cv | 0.742 | | sampleLengths | | 0 | 58 | | 1 | 11 | | 2 | 59 | | 3 | 77 | | 4 | 9 | | 5 | 74 | | 6 | 64 | | 7 | 3 | | 8 | 75 | | 9 | 23 | | 10 | 59 | | 11 | 69 | | 12 | 20 | | 13 | 74 | | 14 | 33 | | 15 | 6 | | 16 | 36 | | 17 | 37 | | 18 | 11 | | 19 | 1 | | 20 | 15 | | 21 | 2 | | 22 | 10 | | 23 | 42 | | 24 | 59 | | 25 | 79 | | 26 | 33 | | 27 | 10 | | 28 | 9 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "was gone " | | 1 | "was churned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 163 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 90 | | ratio | 0.1 | | matches | | 0 | "The watch on her left wrist — leather gone soft with years of sweat and worse — read 11:47." | | 1 | "He — she was sure it was a man, the build, the gait — ducked into the doorway of a closed pub, then cut right through a narrow passage that opened onto a courtyard stacked with milk crates." | | 2 | "She could feel the slope of the ground beginning its long dip toward the canal, and something else beneath that — a pull at the back of her mind she refused to name." | | 3 | "One moment he was there, shoulders cutting through the headlight glare of a black cab, and the next he was gone — swallowed by an arched entrance she had walked past a hundred times and never really seen." | | 4 | "And something else — half-pressed into the soft earth at the edge of the top step." | | 5 | "But the runner was already thirty seconds gone, and thirty seconds in a place like this — a place she had only just learned existed, a place that didn't sit on any map the Met had ever printed — was a lifetime." | | 6 | "The walls changed — Victorian tile giving way to older brick, then to something rougher, hand-cut stone that sweated in the dark." | | 7 | "Not the runner's voice alone — a murmur of others, the low hum of commerce conducted in undertones." | | 8 | "The man glanced at it, then at her — taking in the soaked coat, the sharp jaw, the watch, the way her hand sat an inch from the weapon she hadn't drawn." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 984 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.029471544715447155 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003048780487804878 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 11.76 | | std | 10.56 | | cv | 0.898 | | sampleLengths | | 0 | 10 | | 1 | 26 | | 2 | 22 | | 3 | 3 | | 4 | 8 | | 5 | 19 | | 6 | 30 | | 7 | 4 | | 8 | 6 | | 9 | 21 | | 10 | 21 | | 11 | 4 | | 12 | 2 | | 13 | 29 | | 14 | 5 | | 15 | 4 | | 16 | 38 | | 17 | 21 | | 18 | 4 | | 19 | 4 | | 20 | 7 | | 21 | 7 | | 22 | 21 | | 23 | 3 | | 24 | 33 | | 25 | 3 | | 26 | 38 | | 27 | 17 | | 28 | 5 | | 29 | 2 | | 30 | 13 | | 31 | 7 | | 32 | 7 | | 33 | 9 | | 34 | 2 | | 35 | 7 | | 36 | 8 | | 37 | 16 | | 38 | 18 | | 39 | 5 | | 40 | 3 | | 41 | 5 | | 42 | 3 | | 43 | 3 | | 44 | 16 | | 45 | 42 | | 46 | 10 | | 47 | 3 | | 48 | 7 | | 49 | 9 |
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| 51.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3888888888888889 | | totalSentences | 90 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 77 | | matches | | 0 | "She didn't shout." | | 1 | "She'd called it in eight" | | 2 | "He — she was sure" | | 3 | "She hadn't drawn it." | | 4 | "She could feel the slope" | | 5 | "Her first instinct was procedural." | | 6 | "It was warm." | | 7 | "She told herself that was" | | 8 | "Her torch found a string" | | 9 | "She pressed her back to" | | 10 | "He hadn't been there a" | | 11 | "He was smiling with too" | | 12 | "He tilted his head" | | 13 | "It did nothing kind to" | | 14 | "He stepped aside" | | 15 | "She had never been down" | | 16 | "She had told herself she" |
| | ratio | 0.221 | |
| 70.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 77 | | matches | | 0 | "The pavement threw the rain" | | 1 | "Quinn's shoes slapped wet concrete" | | 2 | "She didn't shout." | | 3 | "Shouting wasted breath, and breath" | | 4 | "The watch on her left" | | 5 | "The green neon of The" | | 6 | "Tonight it meant nothing." | | 7 | "The runner was all that" | | 8 | "The figure vaulted a low" | | 9 | "Quinn took the wall at" | | 10 | "She'd called it in eight" | | 11 | "The runner knew these streets." | | 12 | "That was the problem." | | 13 | "He — she was sure" | | 14 | "Quinn followed, the worn leather" | | 15 | "She hadn't drawn it." | | 16 | "The courtyard fed onto a" | | 17 | "The runner sprinted west, weaving" | | 18 | "Camden was close." | | 19 | "She could feel the slope" |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 7 | | matches | | 0 | "The figure vaulted a low wall, disappeared into the mouth of an alley that reeked of rotting cabbage and something chemical." | | 1 | "He — she was sure it was a man, the build, the gait — ducked into the doorway of a closed pub, then cut right through a narrow passage that opened onto a courty…" | | 2 | "The runner sprinted west, weaving between a row of parked motorcycles, and Quinn pushed harder, the burn in her calves sharpening." | | 3 | "A rusted iron gate, half-hidden behind a graffiti'd hoarding advertising a vape shop that had never opened." | | 4 | "The walls changed — Victorian tile giving way to older brick, then to something rougher, hand-cut stone that sweated in the dark." | | 5 | "Her torch found a string of amber bulbs stapled to the ceiling at irregular intervals, each one guttering in a draft that tasted of incense and copper." | | 6 | "Quinn had spent every shift since then reading case files no one else would touch, knocking on doors that didn't officially exist, learning the names of people …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0 | | effectiveRatio | 0 | |