| 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 | |
| 97.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1767 | | 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) | |
| 57.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1767 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "glint" | | 1 | "navigated" | | 2 | "quickened" | | 3 | "weight" | | 4 | "electric" | | 5 | "pulse" | | 6 | "resolved" | | 7 | "mechanical" | | 8 | "standard" | | 9 | "measured" | | 10 | "footsteps" | | 11 | "echoed" | | 12 | "silence" | | 13 | "pulsed" |
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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 | 149 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 149 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1753 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1587 | | uniqueNames | 19 | | maxNameDensity | 1.07 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Herrera | 13 | | Saint | 1 | | Christopher | 1 | | Dean | 1 | | Street | 1 | | Quinn | 17 | | Morris | 5 | | Stepney | 1 | | Tomás | 3 | | Croydon | 1 | | Camden | 1 | | London | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Meant | 3 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Quinn" | | 5 | "Morris" | | 6 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Dean" | | 2 | "Street" | | 3 | "Stepney" | | 4 | "Croydon" | | 5 | "Camden" | | 6 | "London" |
| | globalScore | 0.964 | | windowScore | 0.833 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like rust or old blood" | | 1 | "quite identify" | | 2 | "felt like ten" | | 3 | "looked like animal pelts, faces half-shad" |
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| 85.91% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.141 | | wordCount | 1753 | | matches | | 0 | "no record and no current address but" | | 1 | "not the yellow-white of electric bulbs but something cooler, steadier" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 158 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 34.37 | | std | 27.72 | | cv | 0.806 | | sampleLengths | | 0 | 39 | | 1 | 98 | | 2 | 7 | | 3 | 73 | | 4 | 4 | | 5 | 74 | | 6 | 43 | | 7 | 24 | | 8 | 86 | | 9 | 63 | | 10 | 69 | | 11 | 19 | | 12 | 9 | | 13 | 9 | | 14 | 62 | | 15 | 39 | | 16 | 66 | | 17 | 94 | | 18 | 8 | | 19 | 28 | | 20 | 64 | | 21 | 6 | | 22 | 95 | | 23 | 57 | | 24 | 38 | | 25 | 43 | | 26 | 15 | | 27 | 2 | | 28 | 54 | | 29 | 47 | | 30 | 4 | | 31 | 7 | | 32 | 59 | | 33 | 29 | | 34 | 39 | | 35 | 3 | | 36 | 11 | | 37 | 19 | | 38 | 5 | | 39 | 27 | | 40 | 17 | | 41 | 37 | | 42 | 3 | | 43 | 42 | | 44 | 24 | | 45 | 9 | | 46 | 45 | | 47 | 1 | | 48 | 23 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 149 | | matches | | 0 | "being remembered" | | 1 | "been trained" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 284 | | matches | | 0 | "was avoiding" | | 1 | "was going" | | 2 | "was following" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 158 | | ratio | 0.063 | | matches | | 0 | "Even from behind, she knew him by the walk—quick but unhurried, the gait of a man who had learned to move through cities without being remembered." | | 1 | "The streets had thinned to the late-night crowd—pub stragglers, delivery riders, couples sharing umbrellas." | | 2 | "His eyes passed over Quinn's position—she'd pressed herself against a doorway twenty feet back—and either he didn't see her or he didn't care." | | 3 | "The light below was wrong—not the yellow-white of electric bulbs but something cooler, steadier, that seemed to pulse faintly in time with a sound she couldn't quite identify." | | 4 | "Quinn made her decision the way she'd made every decision since Morris died—silently, completely, and without any honest assessment of the cost." | | 5 | "The stairs curved through walls of old brick, London clay, and then something else—a stone she didn't recognize, dark and close-grained, carved with symbols that made her eyes slide away from them the way water avoids a drain." | | 6 | "The Veil Market—if that's what this was, and she'd heard the name once, from a source who'd later refused to take her calls—spread before her in the converted guts of an abandoned Tube station." | | 7 | "In a place like this, reaching for a gun might mean nothing—or it might mean everything." | | 8 | "Ahead, she heard Herrera's footsteps—quick, confident, unconcerned." | | 9 | "The sound of movement—fabric, footsteps she couldn't place." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1610 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.030434782608695653 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0055900621118012426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 11.09 | | std | 8.98 | | cv | 0.809 | | sampleLengths | | 0 | 16 | | 1 | 23 | | 2 | 16 | | 3 | 26 | | 4 | 7 | | 5 | 20 | | 6 | 2 | | 7 | 4 | | 8 | 23 | | 9 | 7 | | 10 | 16 | | 11 | 10 | | 12 | 2 | | 13 | 26 | | 14 | 19 | | 15 | 4 | | 16 | 6 | | 17 | 14 | | 18 | 23 | | 19 | 9 | | 20 | 22 | | 21 | 4 | | 22 | 21 | | 23 | 9 | | 24 | 2 | | 25 | 7 | | 26 | 12 | | 27 | 12 | | 28 | 2 | | 29 | 17 | | 30 | 6 | | 31 | 18 | | 32 | 2 | | 33 | 2 | | 34 | 39 | | 35 | 4 | | 36 | 9 | | 37 | 10 | | 38 | 5 | | 39 | 35 | | 40 | 17 | | 41 | 3 | | 42 | 2 | | 43 | 23 | | 44 | 7 | | 45 | 1 | | 46 | 1 | | 47 | 15 | | 48 | 5 | | 49 | 14 |
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| 39.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.33544303797468356 | | totalSentences | 158 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 132 | | matches | | 0 | "Just a man dead on" | | 1 | "Maybe forty people, moving between" | | 2 | "Maybe he'd found it." | | 3 | "Maybe it had found him." | | 4 | "Then they stopped." | | 5 | "Then a soft laugh, somewhere" |
| | ratio | 0.045 | |
| 98.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 132 | | matches | | 0 | "She'd studied his file for" | | 1 | "She kept two car lengths" | | 2 | "He navigated the foot traffic" | | 3 | "She'd watched enough criminals to" | | 4 | "He was avoiding detection." | | 5 | "Her worn leather watch read" | | 6 | "She quickened her pace." | | 7 | "He knew exactly where he" | | 8 | "Her fingers found the grip" | | 9 | "She'd seen Morris two hours" | | 10 | "She'd never stopped looking." | | 11 | "He glanced left." | | 12 | "His eyes passed over Quinn's" | | 13 | "He produced something from his" | | 14 | "It slid, grinding on old" | | 15 | "Her heartbeat counted with her." | | 16 | "She approached the doorway and" | | 17 | "She peered down." | | 18 | "She'd walked into drug dens" | | 19 | "She knew what it meant" |
| | ratio | 0.303 | |
| 66.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 132 | | matches | | 0 | "The rain came down like" | | 1 | "Quinn had been standing beneath" | | 2 | "Tomás Herrera crossed the street" | | 3 | "She'd studied his file for" | | 4 | "The curly dark hair, the" | | 5 | "Quinn stepped off the curb" | | 6 | "She kept two car lengths" | | 7 | "He navigated the foot traffic" | | 8 | "She'd watched enough criminals to" | | 9 | "He was avoiding detection." | | 10 | "Her worn leather watch read" | | 11 | "The streets had thinned to" | | 12 | "Herrera turned right onto Dean" | | 13 | "The alley stank of bin" | | 14 | "Graffiti climbed the walls in" | | 15 | "She quickened her pace." | | 16 | "The alley bent twice, swallowed" | | 17 | "Herrera was thirty feet ahead," | | 18 | "He knew exactly where he" | | 19 | "Quinn's hand drifted to the" |
| | ratio | 0.788 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 132 | | matches | | 0 | "Even from behind, she knew" | | 1 | "Now he patched up the" | | 2 | "Either way, it had killed" |
| | ratio | 0.023 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 10 | | matches | | 0 | "Even from behind, she knew him by the walk—quick but unhurried, the gait of a man who had learned to move through cities without being remembered." | | 1 | "She kept two car lengths between them, matching his pace, letting the rain do its work." | | 2 | "He navigated the foot traffic with the ease of someone who'd mapped every alley, every cut-through, every camera blind spot in this part of the city." | | 3 | "And Tomás Herrera, who showed up in the orbit of every person she suspected, who carried no record and no current address but somehow always had cash and medica…" | | 4 | "The air rising from below was thick and strange, carrying scents she couldn't name: something mineral, something burnt, something that tasted sweet on the back …" | | 5 | "This was her investigation, her ghost case, her private obsession that had cost her a promotion and the last scraps of patience her DCI had left." | | 6 | "The stairs curved through walls of old brick, London clay, and then something else—a stone she didn't recognize, dark and close-grained, carved with symbols tha…" | | 7 | "The Veil Market—if that's what this was, and she'd heard the name once, from a source who'd later refused to take her calls—spread before her in the converted g…" | | 8 | "She was alone in a place that didn't appear on any map, surrounded by people who were not entirely people, following a man who might be her only link to the tru…" | | 9 | "The same impossible world that existed beneath the one she'd been trained to police." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "His voice bounced, directionless" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "the coroner described (describe)" |
| | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 1 | | effectiveRatio | 0.154 | |