| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "His fingers tightened around [around]" |
| | dialogueSentences | 36 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.067 | | effectiveRatio | 0.056 | |
| 97.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1825 | | 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) | |
| 34.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1825 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "pulse" | | 1 | "tracing" | | 2 | "glint" | | 3 | "weight" | | 4 | "familiar" | | 5 | "echo" | | 6 | "footsteps" | | 7 | "trembled" | | 8 | "gloom" | | 9 | "wavered" | | 10 | "electric" | | 11 | "glinting" | | 12 | "flicker" | | 13 | "silence" | | 14 | "flicked" | | 15 | "tension" | | 16 | "vibrated" | | 17 | "glistening" | | 18 | "echoed" | | 19 | "flickered" | | 20 | "unspoken" |
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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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 160 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 180 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 24 | | markdownWords | 38 | | totalWords | 1799 | | ratio | 0.021 | | matches | | 0 | "The Raven’s Nest" | | 1 | "him" | | 2 | "The Raven’s Nest" | | 3 | "Too easy." | | 4 | "forty-one, Quinn, not twenty-one" | | 5 | "Christ." | | 6 | "Stalls." | | 7 | "secrets" | | 8 | "“Quinn, listen to me—”" | | 9 | "Herrera" | | 10 | "Irony, that." | | 11 | "raw" | | 12 | "wrong" | | 13 | "people" | | 14 | "detective" | | 15 | "hunting ground" | | 16 | "clicked" | | 17 | "moved" | | 18 | "fingers" | | 19 | "the thing" | | 20 | "now" | | 21 | "thing" | | 22 | "them" | | 23 | "is" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1578 | | uniqueNames | 18 | | maxNameDensity | 0.82 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | London | 1 | | Raven | 2 | | Harlow | 13 | | Quinn | 2 | | Greek | 1 | | Street | 1 | | Morris | 3 | | Whitaker | 1 | | Wooden | 1 | | Veil | 1 | | Market | 1 | | Soho | 1 | | Tomás | 1 | | Herrera | 11 | | Christopher | 2 | | Seville | 1 | | Saint | 2 | | Three | 2 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Christopher" | | 8 | "Saint" | | 9 | "Three" |
| | places | | 0 | "London" | | 1 | "Greek" | | 2 | "Street" | | 3 | "Soho" | | 4 | "Seville" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 1 | | matches | | |
| 88.83% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.112 | | wordCount | 1799 | | matches | | 0 | "Not the dark of a closed shop or a shadowed corner, but the absolute, suffocating dark of a throat waiting to swallo" | | 1 | "Not the kind that sold fruit and secondhand jumpers, but the kind" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 180 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 31.02 | | std | 22.22 | | cv | 0.716 | | sampleLengths | | 0 | 102 | | 1 | 74 | | 2 | 2 | | 3 | 59 | | 4 | 38 | | 5 | 58 | | 6 | 2 | | 7 | 49 | | 8 | 16 | | 9 | 1 | | 10 | 37 | | 11 | 2 | | 12 | 69 | | 13 | 78 | | 14 | 1 | | 15 | 41 | | 16 | 48 | | 17 | 1 | | 18 | 66 | | 19 | 48 | | 20 | 34 | | 21 | 33 | | 22 | 3 | | 23 | 12 | | 24 | 57 | | 25 | 47 | | 26 | 25 | | 27 | 14 | | 28 | 12 | | 29 | 38 | | 30 | 9 | | 31 | 25 | | 32 | 15 | | 33 | 42 | | 34 | 9 | | 35 | 43 | | 36 | 4 | | 37 | 33 | | 38 | 51 | | 39 | 22 | | 40 | 15 | | 41 | 55 | | 42 | 7 | | 43 | 28 | | 44 | 31 | | 45 | 24 | | 46 | 48 | | 47 | 38 | | 48 | 11 | | 49 | 26 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 160 | | matches | | 0 | "was gone" | | 1 | "was bent" | | 2 | "get erased" | | 3 | "being pulled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 275 | | matches | | 0 | "was standing" | | 1 | "were dying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 27 | | semicolonCount | 0 | | flaggedSentences | 21 | | totalSentences | 180 | | ratio | 0.117 | | matches | | 0 | "The rain came down in sheets, turning London’s neon glow into a smear of bleeding colors—crimson, amber, the sickly green of *The Raven’s Nest*’s sign flickering above the alley like a dying pulse." | | 1 | "What mattered was the figure ahead—lean, quick, a dark jacket flapping like broken wings as he ducked around the corner of Greek Street." | | 2 | "Her watch—leather worn smooth from years of service—glinted under a flickering streetlamp as she checked the time." | | 3 | "The suspect—tall, broad-shouldered, moving with the easy confidence of someone who knew these streets better than she did—had a twenty-meter lead." | | 4 | "A shout rose behind her—uniforms, late to the party as always." | | 5 | "Long enough for the green neon of *The Raven’s Nest* to catch the sharp angle of his jaw, the glint of something metallic at his throat—a chain, maybe." | | 6 | "Then—nothing." | | 7 | "The muscles in her arms trembled—*forty-one, Quinn, not twenty-one*—but the grate shrieked and gave way, tearing free with a sound like a dying animal." | | 8 | "The stink rising from below was worse than the alley—damp earth, something chemical, and beneath it all, the coppery reek of old blood." | | 9 | "Concrete pillars rose like the ribs of some buried beast, and between them—" | | 10 | "She’d heard the whispers, of course—every cop who’d spent more than five minutes in Soho had." | | 11 | "But Morris’s face floated behind her eyes—the way he’d looked that last night, pale under the flickering fluorescents of the station, his usual smirk replaced by something like fear." | | 12 | "The suspect—*Herrera*, the file had called him, Tomás Herrera, former paramedic, suspected clique affiliate—turned slowly, as if he’d been expecting her." | | 13 | "Olive skin, dark curls damp with rain, a scar running the length of his left forearm—defensive wound, if she had to guess." | | 14 | "A flicker of something crossed his face—amusement, maybe." | | 15 | "The stench of the market—damp, metallic, *wrong*—filled her lungs." | | 16 | "A sound cut through the tension—a wet, clicking noise, like bones knocking together." | | 17 | "The thing—*the thing*—hissed, its mouth splitting wider than a human’s should, rows of needle teeth glistening." | | 18 | "The market erupted into chaos—shouts, screams, the wet, tearing sounds of things that weren’t human giving chase." | | 19 | "“Bullshit.” She holstered her weapon—what good was it now?—and wiped rain and sweat from her brow." | | 20 | "A sound echoed down the tunnel—a wet, dragging noise, like something heavy being pulled across stone." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1604 | | adjectiveStacks | 1 | | stackExamples | | 0 | "former paramedic, suspected clique" |
| | adverbCount | 57 | | adverbRatio | 0.035536159600997506 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004364089775561097 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 180 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 180 | | mean | 9.99 | | std | 7.23 | | cv | 0.723 | | sampleLengths | | 0 | 33 | | 1 | 26 | | 2 | 9 | | 3 | 11 | | 4 | 23 | | 5 | 21 | | 6 | 17 | | 7 | 17 | | 8 | 2 | | 9 | 15 | | 10 | 2 | | 11 | 2 | | 12 | 7 | | 13 | 21 | | 14 | 2 | | 15 | 2 | | 16 | 27 | | 17 | 11 | | 18 | 3 | | 19 | 2 | | 20 | 19 | | 21 | 3 | | 22 | 4 | | 23 | 4 | | 24 | 28 | | 25 | 2 | | 26 | 20 | | 27 | 2 | | 28 | 17 | | 29 | 15 | | 30 | 12 | | 31 | 5 | | 32 | 2 | | 33 | 14 | | 34 | 1 | | 35 | 21 | | 36 | 2 | | 37 | 2 | | 38 | 12 | | 39 | 2 | | 40 | 11 | | 41 | 12 | | 42 | 11 | | 43 | 4 | | 44 | 7 | | 45 | 24 | | 46 | 5 | | 47 | 24 | | 48 | 8 | | 49 | 18 |
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| 51.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3611111111111111 | | totalSentences | 180 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 129 | | matches | | 0 | "Just for a second." | | 1 | "Then he was gone again," | | 2 | "Just the echo of footsteps" | | 3 | "Just a drain grate, its" | | 4 | "Instead, he yanked her closer," |
| | ratio | 0.039 | |
| 92.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 129 | | matches | | 0 | "She skidded on wet cobblestones," | | 1 | "Her watch—leather worn smooth from" | | 2 | "She pushed off the wall," | | 3 | "She didn’t turn." | | 4 | "She drew her sidearm, the" | | 5 | "She skidded to a halt" | | 6 | "She holstered her weapon and" | | 7 | "They groaned but held." | | 8 | "She gritted her teeth and" | | 9 | "She reached for her torch," | | 10 | "She swung her legs over" | | 11 | "She swept the beam left," | | 12 | "She’d heard the whispers, of" | | 13 | "He was bent over a" | | 14 | "Her pulse hammered in her" | | 15 | "She should call it in." | | 16 | "His hands were empty." | | 17 | "he said, voice low, accented" | | 18 | "She didn’t draw her weapon." | | 19 | "She kept her voice steady," |
| | ratio | 0.318 | |
| 56.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 129 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn didn’t break" | | 2 | "The cold seeped in, but" | | 3 | "She skidded on wet cobblestones," | | 4 | "The scent of grease and" | | 5 | "Her watch—leather worn smooth from" | | 6 | "The city was a graveyard" | | 7 | "She pushed off the wall," | | 8 | "The suspect—tall, broad-shouldered, moving with" | | 9 | "A shout rose behind her—uniforms," | | 10 | "She didn’t turn." | | 11 | "The radio at her hip" | | 12 | "This was hers." | | 13 | "The suspect glanced back." | | 14 | "The alley twisted, a serpent’s" | | 15 | "The rain drummed against the" | | 16 | "She drew her sidearm, the" | | 17 | "She skidded to a halt" | | 18 | "Harlow crouched, rain dripping from" | | 19 | "The grate was old, the" |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 48.32% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 9 | | matches | | 0 | "The rain came down in sheets, turning London’s neon glow into a smear of bleeding colors—crimson, amber, the sickly green of *The Raven’s Nest*’s sign flickerin…" | | 1 | "The suspect—tall, broad-shouldered, moving with the easy confidence of someone who knew these streets better than she did—had a twenty-meter lead." | | 2 | "Not when she’d spent eighteen months tracing the edges of something rotten in this city, something that stank of the same wrongness that had swallowed Morris wh…" | | 3 | "The rain drummed against the metal, a discordant rhythm that set her teeth on edge." | | 4 | "The suspect—*Herrera*, the file had called him, Tomás Herrera, former paramedic, suspected clique affiliate—turned slowly, as if he’d been expecting her." | | 5 | "The thing that had been the wax-faced man was no longer a man at all." | | 6 | "Its limbs had elongated, joints bending the wrong way, its skin sloughing off in thick, gelatinous strips." | | 7 | "It *clicked* again, a sound that vibrated in Harlow’s teeth, and then it *moved*, scuttling toward them on too many legs, too many *fingers*." | | 8 | "The thing—*the thing*—hissed, its mouth splitting wider than a human’s should, rows of needle teeth glistening." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice low, accented" | | 1 | "She kept, but her fingers twitched at her sides" | | 2 | "other hand came up, fingers brushing the Saint Christopher medallion" | | 3 | "she demanded, her voice raw" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she snarled (snarl)" | | 1 | "he hissed (hiss)" | | 2 | "she demanded (demand)" |
| | dialogueSentences | 36 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.75 | | effectiveRatio | 0.167 | |