| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1973 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 41.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1973 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "sanctuary" | | 1 | "familiar" | | 2 | "hulking" | | 3 | "navigating" | | 4 | "weight" | | 5 | "eyebrow" | | 6 | "radiant" | | 7 | "whisper" | | 8 | "shattered" | | 9 | "quivered" | | 10 | "silence" | | 11 | "flickered" | | 12 | "depths" | | 13 | "stomach" | | 14 | "pulse" | | 15 | "could feel" | | 16 | "rhythmic" | | 17 | "lurched" | | 18 | "roaring" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 194 | | matches | | 0 | "t with anger" | | 1 | "p in fury" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 194 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 229 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 29 | | totalWords | 1963 | | ratio | 0.015 | | matches | | 0 | "filthy" | | 1 | "Control. Control was the only thing keeping her upright these days." | | 2 | "Rory" | | 3 | "Where are you, kid? Hang tight. I'm coming." | | 4 | "TequilaMockingbird" | | 5 | "Not here. You're safe here." | | 6 | "Dad" | | 7 | "move" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 77 | | wordCount | 1602 | | uniqueNames | 18 | | maxNameDensity | 1.75 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 3 | | Nest | 3 | | Golden | 1 | | Empress | 1 | | Soho | 2 | | Silas | 23 | | Europe | 1 | | Rory | 28 | | Like | 1 | | Eva | 3 | | Evan | 3 | | Precise | 1 | | Carter | 2 | | London | 1 | | Pontypool | 1 | | Road | 1 | | Keats | 1 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Eva" | | 6 | "Evan" | | 7 | "Carter" | | 8 | "Keats" |
| | places | | 0 | "Soho" | | 1 | "Europe" | | 2 | "London" | | 3 | "Pontypool" | | 4 | "Road" | | 5 | "Cardiff" |
| | globalScore | 0.626 | | windowScore | 0.5 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | glossingSentenceCount | 4 | | matches | | 0 | "quite a laugh" | | 1 | "smelled like failure and cheap victories" | | 2 | "tasted like ashes and good intentions was" | | 3 | "looked like fault lines" |
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| 47.17% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.528 | | wordCount | 1963 | | matches | | 0 | "not to check the food, but to pull out the small insulated flask she'd forgotten to tak" | | 1 | "not for the phone, not for the food, but for her wrist" | | 2 | "not for the food, but for her wrist" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 229 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 29.74 | | std | 21.67 | | cv | 0.729 | | sampleLengths | | 0 | 122 | | 1 | 98 | | 2 | 39 | | 3 | 21 | | 4 | 46 | | 5 | 22 | | 6 | 42 | | 7 | 72 | | 8 | 43 | | 9 | 14 | | 10 | 54 | | 11 | 17 | | 12 | 27 | | 13 | 39 | | 14 | 16 | | 15 | 33 | | 16 | 20 | | 17 | 22 | | 18 | 77 | | 19 | 40 | | 20 | 20 | | 21 | 35 | | 22 | 52 | | 23 | 16 | | 24 | 9 | | 25 | 19 | | 26 | 26 | | 27 | 27 | | 28 | 7 | | 29 | 19 | | 30 | 25 | | 31 | 15 | | 32 | 32 | | 33 | 20 | | 34 | 6 | | 35 | 36 | | 36 | 15 | | 37 | 12 | | 38 | 26 | | 39 | 60 | | 40 | 41 | | 41 | 11 | | 42 | 16 | | 43 | 44 | | 44 | 23 | | 45 | 24 | | 46 | 48 | | 47 | 17 | | 48 | 31 | | 49 | 45 |
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| 99.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 194 | | matches | | 0 | "was supposed" | | 1 | "were made" | | 2 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 260 | | matches | | 0 | "was being" | | 1 | "was lying" | | 2 | "weren't saying" |
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| 43.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 229 | | ratio | 0.035 | | matches | | 0 | "This bar—this *filthy* bar—was supposed to be her sanctuary, not another stop on her daily round of penance." | | 1 | "Rory pushed through the door, the familiar jingle of the bell doing that thing it always did—like a knife twisting slow through the quiet." | | 2 | "His right hand—still adorned with that damn signet ring—rested on the counter instead, fingers tapping a rhythm only he knew." | | 3 | "The scent of the restaurant clung to her clothes—garlic, soy, the faint chemical bite of takeaway grease." | | 4 | "A man like Silas—former spymaster, whisperer of truths, breaker of men—tethered to a pub in Soho." | | 5 | "Not the truth—nails dragged down by a lover who was supposed to love her." | | 6 | "She leaned forward, close enough to smell the faded cologne beneath the beer stink—something sandalwood and old paper." | | 7 | "Silas called out, voice barely rising above the ambient din of the bar—chatter, clinking glasses, the low hum of a football match on the telly in the corner." |
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| 91.72% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 748 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04946524064171123 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008021390374331552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 229 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 229 | | mean | 8.57 | | std | 7.38 | | cv | 0.861 | | sampleLengths | | 0 | 10 | | 1 | 2 | | 2 | 9 | | 3 | 29 | | 4 | 5 | | 5 | 6 | | 6 | 14 | | 7 | 12 | | 8 | 18 | | 9 | 17 | | 10 | 24 | | 11 | 32 | | 12 | 4 | | 13 | 3 | | 14 | 10 | | 15 | 11 | | 16 | 14 | | 17 | 4 | | 18 | 2 | | 19 | 3 | | 20 | 30 | | 21 | 12 | | 22 | 9 | | 23 | 6 | | 24 | 20 | | 25 | 20 | | 26 | 19 | | 27 | 3 | | 28 | 13 | | 29 | 6 | | 30 | 3 | | 31 | 1 | | 32 | 4 | | 33 | 15 | | 34 | 10 | | 35 | 12 | | 36 | 34 | | 37 | 16 | | 38 | 13 | | 39 | 17 | | 40 | 7 | | 41 | 6 | | 42 | 14 | | 43 | 33 | | 44 | 2 | | 45 | 7 | | 46 | 1 | | 47 | 1 | | 48 | 10 | | 49 | 11 |
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| 46.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3231441048034934 | | totalSentences | 229 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 12 | | totalSentences | 158 | | matches | | 0 | "Still tall, still rigid in" | | 1 | "Still wearing his bloody hazel" | | 2 | "Just the flat observation of" | | 3 | "More like a relic from" | | 4 | "Instead, she pulled out her" | | 5 | "Then, against every instinct screaming" | | 6 | "Then at her." | | 7 | "Then at the scar on" | | 8 | "Just a slow, understanding nod." | | 9 | "Just her silhouette framed in" | | 10 | "Then she spun back." | | 11 | "Then his expression shuttered." |
| | ratio | 0.076 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 158 | | matches | | 0 | "She hadn't planned on coming" | | 1 | "She couldn't help herself." | | 2 | "Her breath hitched." | | 3 | "His right hand—still adorned with" | | 4 | "he said, voice low but" | | 5 | "It was closed." | | 6 | "He leaned forward slightly, just" | | 7 | "She exhaled through her nose," | | 8 | "She smelled like failure and" | | 9 | "She wanted to scrub herself" | | 10 | "He unscrewed the lid and" | | 11 | "His eyebrow twitched upward." | | 12 | "he repeated, as though the" | | 13 | "she asked, desperate to fill" | | 14 | "He let go of the" | | 15 | "she muttered, tapping in the" | | 16 | "His eyes lifted to hers," | | 17 | "It was nuclear." | | 18 | "She didn't want to play" | | 19 | "His grip was firm but" |
| | ratio | 0.203 | |
| 77.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 158 | | matches | | 0 | "She hadn't planned on coming" | | 1 | "The last delivery slip for" | | 2 | "A pot of lapsang souchong" | | 3 | "Numbers didn't lie, but neither" | | 4 | "This bar—this *filthy* bar—was supposed" | | 5 | "Delivery boy by day, trespasser" | | 6 | "Rory pushed through the door," | | 7 | "The Raven's Nest smelled of" | | 8 | "She couldn't help herself." | | 9 | "Her breath hitched." | | 10 | "The hulking figure behind the" | | 11 | "Rory dropped the insulated bag" | | 12 | "Silas didn't reach for the" | | 13 | "His right hand—still adorned with" | | 14 | "The same uneven tempo from" | | 15 | "he said, voice low but" | | 16 | "Rory cut her eyes to" | | 17 | "The hidden door behind the" | | 18 | "It was closed." | | 19 | "Silas let out a sound" |
| | ratio | 0.766 | |
| 94.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 158 | | matches | | 0 | "Now it just..." | | 1 | "If he'd noticed the flinch," | | 2 | "To tell him it wasn’t" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 3 | | matches | | 0 | "Just the flat observation of a man who'd been marking time in this sodden city long enough to know when someone was lying by their presence, not just their word…" | | 1 | "Jennifer Carter of Pontypool Road, who'd read Keats to her at bedtime, who'd made her pancakes with too much sugar and not enough eggs because that was Rory's f…" | | 2 | "The man who'd let her cry on his shoulder when she was seventeen and too clever for her own good, too reckless for safety." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "he repeated, as though the name were a code he'd long since stopped trying to remember" | | 1 | "He tapped, rhythmic" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "he repeated (repeat)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 48 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.333 | | effectiveRatio | 0.083 | |