| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 50 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 107 | | tagDensity | 0.467 | | leniency | 0.935 | | rawRatio | 0.02 | | effectiveRatio | 0.019 | |
| 97.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 3411 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 70.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 3411 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "traced" | | 1 | "pulsed" | | 2 | "standard" | | 3 | "flicked" | | 4 | "velvet" | | 5 | "echoed" | | 6 | "fragmented" | | 7 | "calculating" | | 8 | "clandestine" | | 9 | "grave" | | 10 | "whisper" | | 11 | "tenderness" | | 12 | "variables" | | 13 | "uncanny" | | 14 | "echo" |
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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 | 1 | | narrationSentences | 266 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 266 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 317 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0.003 | | matches | | 0 | "Or both?* She flipped the weapon under her fingers, once taught by Silas when she was seventeen and trailing London亭s for barrister tricks." |
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| 41.13% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 98 | | markdownWords | 270 | | totalWords | 3399 | | ratio | 0.079 | | matches | | 0 | "Empty space in the wall of her boyhood room, no longer there to be studied by her father’s barrister-logic after he walked out on her mother. Here. Sancerre, pressed for making hasty exit when Evan showed up with his own nest of lies." | | 1 | "Times" | | 2 | "curse" | | 3 | "brew" | | 4 | "Cardiff" | | 5 | "spoke with drinks" | | 6 | "Evan’s fault" | | 7 | "misplace" | | 8 | "misplaced" | | 9 | "victim testimony" | | 10 | "crocodile tears" | | 11 | "you’re" | | 12 | "everything" | | 13 | "You could swallow the courtroom like its throat was made for your ambitions" | | 14 | "He’s not dead. He’s a staged problem." | | 15 | "Celtic twist" | | 16 | "suggestion" | | 17 | "told you never to sleep with the enemy’s smart set" | | 18 | "He’d never send her a warning chip without using it as a quiz. Prague’s tutelage runs deep." | | 19 | "ransom" | | 20 | "about" | | 21 | "far" | | 22 | "interesting" | | 23 | "You stayed too late. Check your routes. Get in the car." | | 24 | "this" | | 25 | "acceleration" | | 26 | "drugging." | | 27 | "charming" | | 28 | "kitchen" | | 29 | "lives" | | 30 | "home" | | 31 | "sandwiches" | | 32 | "beneath" | | 33 | "equilibrium" | | 34 | "prince of Wales" | | 35 | "across rooms" | | 36 | "prolapsed secrets" | | 37 | "church" | | 38 | "fled my altars" | | 39 | "someone with a gun is now bored" | | 40 | "Do they know who you are?" | | 41 | "trickery" | | 42 | "toxic work schedule" | | 43 | "unhealthy fixations" | | 44 | "printer" | | 45 | "realms" | | 46 | "horse warehouses" | | 47 | "avoding code" | | 48 | "spreading my family like gossip" | | 49 | "kennel school" | | 50 | "barkers" | | 51 | "you’re welcome" | | 52 | "missing tenants" | | 53 | "sculpture garden" | | 54 | "intervening" | | 55 | "nothing" | | 56 | "all" | | 57 | "make him everyone knows Evan’s sins but you" | | 58 | "dragged" | | 59 | "escape clause" | | 60 | "Mother sent warning letters" | | 61 | "Nest" | | 62 | "you" | | 63 | "ambivalence" | | 64 | "grave" | | 65 | "her" | | 66 | "left wrist" | | 67 | "resembled a theatre lounge" | | 68 | "weakness" | | 69 | "interior acts" | | 70 | "Malphora" | | 71 | "Two against Evan’s disciples. Or Rosa’s. Or both?" | | 72 | "wait" | | 73 | "now" | | 74 | "You." | | 75 | "lever" | | 76 | "economic variables" | | 77 | "zero" | | 78 | "my cousin’s a good man, isn’t he" | | 79 | "adding up" | | 80 | "sum on the precipice" | | 81 | "Irish counterfeit" | | 82 | "my family" | | 83 | "1947 Wellington Street" | | 84 | "carotid" | | 85 | "mother" | | 86 | "e-skimmers" | | 87 | "win" | | 88 | "Silas’s" | | 89 | "new customer" | | 90 | "didn’t ask" | | 91 | "took" | | 92 | "Spymaster" | | 93 | "my" | | 94 | "then fled" | | 95 | "happiness" | | 96 | "diluted" | | 97 | "amanuensis" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 38 | | unquotedAttributions | 1 | | matches | | 0 | "Her university portrait surfaced in fragmented glory—cardigan over oxfords on that degree day, Silas calling her Malphor…" |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 112 | | wordCount | 2136 | | uniqueNames | 43 | | maxNameDensity | 1.26 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Sancerre | 4 | | Silas | 27 | | Blackwood | 1 | | Thatcher | 3 | | Prague | 3 | | Morse | 1 | | Révolution | 1 | | Evan | 12 | | Aurora | 15 | | Dublin | 1 | | Yu-Fei | 8 | | Cheung | 1 | | Silverwode | 1 | | Brendan | 1 | | London | 1 | | Malphora | 1 | | Cuban | 2 | | Manhattan | 1 | | Thyme | 1 | | Saffron | 1 | | Trust | 1 | | Chinese | 1 | | Swansea | 1 | | Hospital | 1 | | Tschechische | 1 | | Gartenstadt | 1 | | Westminster | 1 | | Council | 1 | | Damascus | 1 | | Rosa | 2 | | Old | 2 | | Welsh | 1 | | Mother | 2 | | Flamethrower | 1 | | Atacama | 1 | | Chile | 1 | | Mot | 1 | | Conceal | 1 | | Teasing | 1 | | Sarah | 1 | | Masters | 1 | | Number | 1 |
| | persons | | 0 | "Carter" | | 1 | "Sancerre" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Thatcher" | | 5 | "Evan" | | 6 | "Aurora" | | 7 | "Yu-Fei" | | 8 | "Cheung" | | 9 | "Silverwode" | | 10 | "Brendan" | | 11 | "Cuban" | | 12 | "Thyme" | | 13 | "Hospital" | | 14 | "Rosa" | | 15 | "Mot" | | 16 | "Sarah" |
| | places | | 0 | "Prague" | | 1 | "Morse" | | 2 | "Dublin" | | 3 | "London" | | 4 | "Manhattan" | | 5 | "Swansea" | | 6 | "Westminster" | | 7 | "Damascus" | | 8 | "Old" | | 9 | "Chile" |
| | globalScore | 0.868 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 156 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.294 | | wordCount | 3399 | | matches | | 0 | "Not in copious revenge, but they had no room for simple ones" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 317 | | matches | | 0 | "unstitched that lie" | | 1 | "knew that thud" | | 2 | "knew that tip" |
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| 94.60% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 88 | | mean | 38.63 | | std | 18.58 | | cv | 0.481 | | sampleLengths | | 0 | 71 | | 1 | 70 | | 2 | 54 | | 3 | 12 | | 4 | 38 | | 5 | 32 | | 6 | 83 | | 7 | 63 | | 8 | 50 | | 9 | 12 | | 10 | 32 | | 11 | 49 | | 12 | 50 | | 13 | 47 | | 14 | 21 | | 15 | 27 | | 16 | 37 | | 17 | 51 | | 18 | 57 | | 19 | 24 | | 20 | 24 | | 21 | 33 | | 22 | 26 | | 23 | 62 | | 24 | 18 | | 25 | 53 | | 26 | 47 | | 27 | 29 | | 28 | 53 | | 29 | 61 | | 30 | 53 | | 31 | 48 | | 32 | 59 | | 33 | 46 | | 34 | 57 | | 35 | 73 | | 36 | 35 | | 37 | 55 | | 38 | 58 | | 39 | 22 | | 40 | 31 | | 41 | 56 | | 42 | 28 | | 43 | 19 | | 44 | 32 | | 45 | 34 | | 46 | 29 | | 47 | 29 | | 48 | 22 | | 49 | 21 |
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| 99.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 266 | | matches | | 0 | "was made" | | 1 | "was firebombed" | | 2 | "got thrown" | | 3 | "was laced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 355 | | matches | | 0 | "was still unbleeding" | | 1 | "was sweating" |
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| 70.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 317 | | ratio | 0.025 | | matches | | 0 | "His right hand—a knuckled mass of old ink and newer tremors—circled the neck of a Thatcher." | | 1 | "“How bloody long’s it been since you updated the *brew*?” She flicked her gaze—eyes still cold blue, fat with suspicion—toward a bottle of Silverwode." | | 2 | "*Evan’s fault*—not Silas’s." | | 3 | "Her university portrait surfaced in fragmented glory—cardigan over oxfords on that degree day, Silas calling her Malphora in his wry voice (*You could swallow the courtroom like its throat was made for your ambitions*)." | | 4 | "She knew that tip of a switchblade’s exit—twin to the red dot on Yu-Fei’s delivery manifest." | | 5 | "Spook’s handwriting on the inside of her bracelet—*told you never to sleep with the enemy’s smart set*—clearer now the chip was wet and the contact strained." | | 6 | "*Mother sent warning letters* about it in code—cooking words about shoulder-length hair." | | 7 | "“I already led ghosts under my bar.” His hand tapped the celluloid trapped in his signet ring—the same one that once gave him a “discreet lodger” permit for *her*." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2158 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.019462465245597776 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0023169601482854493 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 317 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 317 | | mean | 10.72 | | std | 7.9 | | cv | 0.737 | | sampleLengths | | 0 | 22 | | 1 | 27 | | 2 | 12 | | 3 | 10 | | 4 | 14 | | 5 | 4 | | 6 | 16 | | 7 | 21 | | 8 | 10 | | 9 | 5 | | 10 | 26 | | 11 | 1 | | 12 | 24 | | 13 | 3 | | 14 | 12 | | 15 | 24 | | 16 | 10 | | 17 | 2 | | 18 | 2 | | 19 | 12 | | 20 | 20 | | 21 | 16 | | 22 | 19 | | 23 | 24 | | 24 | 24 | | 25 | 3 | | 26 | 16 | | 27 | 31 | | 28 | 13 | | 29 | 10 | | 30 | 14 | | 31 | 20 | | 32 | 6 | | 33 | 12 | | 34 | 10 | | 35 | 22 | | 36 | 13 | | 37 | 3 | | 38 | 3 | | 39 | 20 | | 40 | 10 | | 41 | 5 | | 42 | 3 | | 43 | 15 | | 44 | 27 | | 45 | 5 | | 46 | 4 | | 47 | 9 | | 48 | 11 | | 49 | 18 |
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| 53.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3470031545741325 | | totalSentences | 317 | | uniqueOpeners | 110 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 228 | | matches | | 0 | "Then to her, voice bypassing" | | 1 | "Even her cousin’s timelines were" | | 2 | "Then laid his final hand" |
| | ratio | 0.013 | |
| 95.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 71 | | totalSentences | 228 | | matches | | 0 | "She meant to fetch a" | | 1 | "She ended up peering into" | | 2 | "He didn’t look up." | | 3 | "His right hand—a knuckled mass" | | 4 | "Her scar pulsed." | | 5 | "She nodded to a man" | | 6 | "He dug a naval insignia" | | 7 | "His accent had coarsened" | | 8 | "She uncapped the Thatcher, took" | | 9 | "Her phone chimed in her" | | 10 | "She flicked her gaze—eyes still" | | 11 | "He reached under the bar," | | 12 | "she echoed, voice flat as" | | 13 | "She’d poured every argument Brendan" | | 14 | "She tugged the vial toward" | | 15 | "He pivoted on his left" | | 16 | "His silver signet ring tapped" | | 17 | "She’d unstitched that lie in" | | 18 | "She knew that thud." | | 19 | "His hand lifted at the" |
| | ratio | 0.311 | |
| 34.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 194 | | totalSentences | 228 | | matches | | 0 | "The flat’s front door groaned" | | 1 | "Aurora Carter, bike helmet dangling" | | 2 | "She meant to fetch a" | | 3 | "She ended up peering into" | | 4 | "The smell of thyme and" | | 5 | "He didn’t look up." | | 6 | "His right hand—a knuckled mass" | | 7 | "The left, though he’d kept" | | 8 | "A ladybeard rubbed the spot" | | 9 | "Lieu de la Révolution, 1981." 1/1/1981, 12:00:00 AM | | 10 | "Sancerre, pressed for making hasty" | | 11 | "Her scar pulsed." | | 12 | "Silas grunted, sliding the Thatcher" | | 13 | "She nodded to a man" | | 14 | "He dug a naval insignia" | | 15 | "His accent had coarsened" | | 16 | "The smooth Dublin brogue he’d" | | 17 | "She uncapped the Thatcher, took" | | 18 | "Her phone chimed in her" | | 19 | "She flicked her gaze—eyes still" |
| | ratio | 0.851 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 228 | | matches | | 0 | "To compensate for the one" | | 1 | "No matter the room, the" | | 2 | "Now it was a bricked" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 1 | | matches | | 0 | "The smooth Dublin brogue he’d spent a life polishing had curdled into something that sniffed of port and machine oil." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 50 | | uselessAdditionCount | 5 | | matches | | 0 | "She nodded, his face half-shaded by a *Times* supplement" | | 1 | "she echoed, voice flat as a dirge" | | 2 | "She followed, his tie pin projecting wartime medals" | | 3 | "she said, reaching to retrieve the bottle from a dark puddle" | | 4 | "She moved back, blade tracking the knife drawer with her free hand" |
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| 84.58% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 7 | | fancyTags | | 0 | "Silas grunted (grunt)" | | 1 | "Her phone chimed (chime)" | | 2 | "The stranger spitted (spit)" | | 3 | "He coughed (cough)" | | 4 | "Silas muttered (mutter)" | | 5 | "She spat (spit)" | | 6 | "her voice (her voice)" |
| | dialogueSentences | 107 | | tagDensity | 0.159 | | leniency | 0.318 | | rawRatio | 0.412 | | effectiveRatio | 0.131 | |