| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1854 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 67.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1854 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "synthetic" | | 1 | "crystal" | | 2 | "weight" | | 3 | "stark" | | 4 | "silk" | | 5 | "pulse" | | 6 | "flicked" | | 7 | "intensity" | | 8 | "silence" | | 9 | "flicker" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1849 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1145 | | uniqueNames | 21 | | maxNameDensity | 1.66 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 19 | | Soho | 3 | | November | 1 | | Baltic | 2 | | Sea | 1 | | Vale | 1 | | Glamorgan | 1 | | Vaughan | 1 | | Adam | 1 | | London | 1 | | Thomas | 13 | | Silas | 7 | | Lord | 1 | | Justice | 1 | | Watkins | 1 | | Mooting | 1 | | Shield | 1 | | Cardiff | 2 | | Berlin | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Glamorgan" | | 4 | "Vaughan" | | 5 | "Adam" | | 6 | "Thomas" | | 7 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Berlin" |
| | globalScore | 0.67 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "as if testing counterfeit coin" |
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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 | 1849 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 24.01 | | std | 15.96 | | cv | 0.665 | | sampleLengths | | 0 | 57 | | 1 | 5 | | 2 | 66 | | 3 | 13 | | 4 | 44 | | 5 | 25 | | 6 | 11 | | 7 | 53 | | 8 | 40 | | 9 | 32 | | 10 | 13 | | 11 | 8 | | 12 | 43 | | 13 | 47 | | 14 | 13 | | 15 | 1 | | 16 | 19 | | 17 | 45 | | 18 | 46 | | 19 | 2 | | 20 | 17 | | 21 | 5 | | 22 | 53 | | 23 | 29 | | 24 | 6 | | 25 | 7 | | 26 | 35 | | 27 | 42 | | 28 | 8 | | 29 | 11 | | 30 | 63 | | 31 | 50 | | 32 | 15 | | 33 | 12 | | 34 | 25 | | 35 | 39 | | 36 | 3 | | 37 | 3 | | 38 | 17 | | 39 | 38 | | 40 | 33 | | 41 | 17 | | 42 | 28 | | 43 | 18 | | 44 | 1 | | 45 | 7 | | 46 | 7 | | 47 | 31 | | 48 | 9 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 116 | | ratio | 0.06 | | matches | | 0 | "Silver cufflinks winked at his wrists; the knot of his burgundy silk tie sat snug against his Adam's apple." | | 1 | "Cologne drifted off his coat—bergamot and cedar, expensive armour." | | 2 | "Rory tapped two fingers once against the bar top—her signal to stand down." | | 3 | "Disbelief warred with a strange, fastidious revulsion—the reaction of a man watching a thoroughbred hitched to a coal cart." | | 4 | "No pride lived in the statement; the words landed on the wood between them like lead weights." | | 5 | "He looked at her then—past the cheap nylon jacket and the chain oil, straight into the steady, unblinking blue eyes that held zero pity for him and zero nostalgia for the girl buried back in Cardiff." | | 6 | "Not a flinch, not a sigh of relief—just the cool assimilation of data, filed away behind a locked door." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1160 | | adjectiveStacks | 1 | | stackExamples | | 0 | "pale, crescent-shaped scar" |
| | adverbCount | 13 | | adverbRatio | 0.011206896551724138 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 15.94 | | std | 10.06 | | cv | 0.631 | | sampleLengths | | 0 | 22 | | 1 | 17 | | 2 | 18 | | 3 | 5 | | 4 | 14 | | 5 | 14 | | 6 | 23 | | 7 | 15 | | 8 | 13 | | 9 | 14 | | 10 | 19 | | 11 | 11 | | 12 | 25 | | 13 | 11 | | 14 | 19 | | 15 | 10 | | 16 | 10 | | 17 | 14 | | 18 | 26 | | 19 | 14 | | 20 | 14 | | 21 | 18 | | 22 | 13 | | 23 | 6 | | 24 | 2 | | 25 | 21 | | 26 | 6 | | 27 | 16 | | 28 | 6 | | 29 | 5 | | 30 | 19 | | 31 | 17 | | 32 | 13 | | 33 | 1 | | 34 | 6 | | 35 | 13 | | 36 | 3 | | 37 | 10 | | 38 | 32 | | 39 | 26 | | 40 | 20 | | 41 | 2 | | 42 | 17 | | 43 | 5 | | 44 | 20 | | 45 | 9 | | 46 | 24 | | 47 | 29 | | 48 | 6 | | 49 | 7 |
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| 85.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5172413793103449 | | totalSentences | 116 | | uniqueOpeners | 60 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 72 | | matches | | 0 | "She peeled off her cycling" | | 1 | "He shifted his weight onto" | | 2 | "She reached for the soda" | | 3 | "She turned her head an" | | 4 | "His gaze flicked from Thomas’s" | | 5 | "His mouth opened, closed, and" | | 6 | "She took a sip of" | | 7 | "He searched her face with" | | 8 | "His eyes dropped to her" | | 9 | "Her tone stayed level, stripped" | | 10 | "He looked down at his" | | 11 | "He pressed his thumb and" | | 12 | "He dropped his hand." | | 13 | "He looked at her then—past" | | 14 | "He gestured at the rain-darkened" | | 15 | "His hand hovered half an" |
| | ratio | 0.222 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 72 | | matches | | 0 | "She peeled off her cycling" | | 1 | "The synthetic leather exhaled the" | | 2 | "Silas stood behind the brass" | | 3 | "He shifted his weight onto" | | 4 | "The silver signet ring on" | | 5 | "Rory hooked her thumb under" | | 6 | "A pale, crescent-shaped scar notched" | | 7 | "She reached for the soda" | | 8 | "The street door swung open," | | 9 | "Wool overcoats, bespoke pinstripes, leather" | | 10 | "Temple refugees straying west into" | | 11 | "The third man approached the" | | 12 | "Rory kept her gaze on" | | 13 | "Men in charcoal worsted belonged" | | 14 | "Rory’s fingers tightened around her" | | 15 | "The voice possessed the rounded" | | 16 | "She turned her head an" | | 17 | "Thomas Vaughan stood two stools" | | 18 | "The credit card slipped from" | | 19 | "Nobody in London knew that" |
| | ratio | 0.778 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 6 | | matches | | 0 | "The street door swung open, admitting a gust of wind that rattled the framed monochrome photographs lining the entrance." | | 1 | "Two of them claimed a booth beneath a yellowed nautical chart of the Baltic Sea, near the towering oak bookshelf that concealed the bar's private parlour." | | 2 | "His mouth opened, closed, and tried the shape of her name a second time, softer, as if testing counterfeit coin." | | 3 | "He searched her face with the forensic intensity that had won him the Lord Justice Watkins Mooting Shield in their second year at Cardiff." | | 4 | "He looked at her then—past the cheap nylon jacket and the chain oil, straight into the steady, unblinking blue eyes that held zero pity for him and zero nostalg…" | | 5 | "Thomas swallowed, his gaze snagging on the stairs visible through the beaded curtain behind the bar, leading up into the dark residential landing above the pub." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |