| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "She pulled back [back]" | | 1 | "He said finally [finally]" |
| | dialogueSentences | 70 | | tagDensity | 0.329 | | leniency | 0.657 | | rawRatio | 0.087 | | effectiveRatio | 0.057 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1240 | | 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) | |
| 23.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1240 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "chill" | | 1 | "scanned" | | 2 | "weight" | | 3 | "echo" | | 4 | "pulse" | | 5 | "tracing" | | 6 | "silence" | | 7 | "lilt" | | 8 | "traced" | | 9 | "warmth" | | 10 | "echoed" | | 11 | "unspoken" | | 12 | "etched" | | 13 | "sentinel" | | 14 | "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 | 153 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 153 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 197 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1207 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 915 | | uniqueNames | 25 | | maxNameDensity | 1.09 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Carter | 2 | | Yu-Fei | 2 | | Golden | 2 | | Empress | 2 | | Silas | 10 | | Blackwood | 1 | | Prague | 2 | | God | 1 | | London | 2 | | Set | 1 | | Istanbul | 2 | | Brendan | 2 | | Welsh | 2 | | Evan | 1 | | Eva | 2 | | Wave | 1 | | Crescent | 1 | | Rain | 4 | | Cardiff | 2 | | Leg | 1 | | Hazel | 2 | | Rory | 3 |
| | persons | | 0 | "Nest" | | 1 | "Carter" | | 2 | "Yu-Fei" | | 3 | "Empress" | | 4 | "Silas" | | 5 | "Blackwood" | | 6 | "Set" | | 7 | "Brendan" | | 8 | "Evan" | | 9 | "Eva" | | 10 | "Rain" | | 11 | "Leg" | | 12 | "Hazel" | | 13 | "Rory" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Prague" | | 3 | "London" | | 4 | "Istanbul" | | 5 | "Cardiff" |
| | globalScore | 0.954 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1207 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 197 | | matches | | 0 | "knew that tale" | | 1 | "pushed that path" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 88 | | mean | 13.72 | | std | 12.75 | | cv | 0.929 | | sampleLengths | | 0 | 79 | | 1 | 59 | | 2 | 61 | | 3 | 6 | | 4 | 7 | | 5 | 3 | | 6 | 13 | | 7 | 2 | | 8 | 46 | | 9 | 8 | | 10 | 22 | | 11 | 3 | | 12 | 29 | | 13 | 2 | | 14 | 12 | | 15 | 16 | | 16 | 17 | | 17 | 14 | | 18 | 9 | | 19 | 2 | | 20 | 3 | | 21 | 21 | | 22 | 16 | | 23 | 36 | | 24 | 8 | | 25 | 12 | | 26 | 12 | | 27 | 14 | | 28 | 14 | | 29 | 15 | | 30 | 10 | | 31 | 14 | | 32 | 12 | | 33 | 25 | | 34 | 23 | | 35 | 8 | | 36 | 15 | | 37 | 10 | | 38 | 10 | | 39 | 14 | | 40 | 11 | | 41 | 11 | | 42 | 3 | | 43 | 17 | | 44 | 29 | | 45 | 20 | | 46 | 5 | | 47 | 16 | | 48 | 24 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 1 | | flaggedSentences | 16 | | totalSentences | 197 | | ratio | 0.081 | | matches | | 0 | "Dim light spilled across scarred wooden tables, old maps peeling at the edges on the walls—yellowed charts of forgotten coasts, black-and-white photographs of stern faces staring from another era." | | 1 | "She needed a drink, something to blunt the day's deliveries—endless boxes from Yu-Fei's Golden Empress, dodging traffic and ghosts." | | 2 | "A slight hitch marked his left leg when he shifted weight—echo of Prague, though no one here knew that tale." | | 3 | "Last time those hazel eyes fixed on her—God, fifteen years?" | | 4 | "The limp stayed hidden for now, but she clocked it—the subtle brace of his stance." | | 5 | "\"You look...\" He trailed, eyes tracing her face—sharper cheekbones, shadows under those blue eyes." | | 6 | "Da pushed that path—Brendan Carter, barrister sharp as a blade." | | 7 | "\"Delivery gig now?\" He nodded at her jacket—Golden Empress logo faded on the pocket." | | 8 | "Kid-Silas ran marathons in her memory—da's fishing pal turned legend, MI6 whispers over tea." | | 9 | "Photos showed younger Silas—clean-shaven, auburn full, arm round strangers in trench coats." | | 10 | "She pictured calling then—huddled in Eva's spare room, bruises blooming." | | 11 | "\"Shadows chew you hollow.\" Poured from bottle on shelf—label worn, single malt." | | 12 | "Signet ring spun on finger—habit." | | 13 | "Conversation flowed jagged—Cardiff rains, da's cases, mum's Welsh songs." | | 14 | "Leg ached; he shifted." | | 15 | "Time carved them—her from dreamer to survivor, him from hunter to watcher." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 945 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.022222222222222223 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0021164021164021165 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 197 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 197 | | mean | 6.13 | | std | 4.29 | | cv | 0.7 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 13 | | 3 | 29 | | 4 | 10 | | 5 | 6 | | 6 | 9 | | 7 | 11 | | 8 | 14 | | 9 | 19 | | 10 | 19 | | 11 | 11 | | 12 | 11 | | 13 | 20 | | 14 | 3 | | 15 | 3 | | 16 | 3 | | 17 | 4 | | 18 | 3 | | 19 | 6 | | 20 | 7 | | 21 | 2 | | 22 | 4 | | 23 | 10 | | 24 | 16 | | 25 | 6 | | 26 | 10 | | 27 | 8 | | 28 | 7 | | 29 | 15 | | 30 | 3 | | 31 | 9 | | 32 | 15 | | 33 | 5 | | 34 | 2 | | 35 | 6 | | 36 | 3 | | 37 | 3 | | 38 | 10 | | 39 | 1 | | 40 | 5 | | 41 | 14 | | 42 | 3 | | 43 | 6 | | 44 | 4 | | 45 | 4 | | 46 | 7 | | 47 | 2 | | 48 | 2 | | 49 | 2 |
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| 89.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5380710659898477 | | totalSentences | 197 | | uniqueOpeners | 106 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 30.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 131 | | matches | | 0 | "She shook droplets from her" | | 1 | "Her fingers brushed the crescent" | | 2 | "She needed a drink, something" | | 3 | "His neatly trimmed beard framed" | | 4 | "He looked up." | | 5 | "Their eyes locked." | | 6 | "His fingers drummed once on" | | 7 | "She blinked, pulse kicking." | | 8 | "He promised her the stars" | | 9 | "Her voice cut flat, edged" | | 10 | "He leaned forward, elbows on" | | 11 | "She slid onto the stool," | | 12 | "Her jacket dripped a puddle." | | 13 | "He poured, amber liquid sloshing" | | 14 | "She wrapped fingers around the" | | 15 | "He trailed, eyes tracing her" | | 16 | "She finished it, smirk faint" | | 17 | "He chuckled low, poured himself" | | 18 | "His voice gravelled soft" | | 19 | "She stared into the whiskey" |
| | ratio | 0.473 | |
| 40.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 131 | | matches | | 0 | "Aurora Carter shoved the door" | | 1 | "She shook droplets from her" | | 2 | "The air hung thick with" | | 3 | "Few patrons dotted the stools" | | 4 | "A couple hunched in the" | | 5 | "Rory scanned the bar, bright" | | 6 | "Her fingers brushed the crescent" | | 7 | "She needed a drink, something" | | 8 | "His neatly trimmed beard framed" | | 9 | "A slight hitch marked his" | | 10 | "He looked up." | | 11 | "Their eyes locked." | | 12 | "Hazel met blue." | | 13 | "The glass paused mid-circle." | | 14 | "Rory froze mid-step." | | 15 | "Silas set the tumbler down," | | 16 | "His fingers drummed once on" | | 17 | "She blinked, pulse kicking." | | 18 | "Cardiff summers, her da's old" | | 19 | "Spymaster tales disguised as pub" |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "Rain hammered the Soho pavements outside The Raven's Nest, turning gutters into rushing veins." | | 1 | "Cardiff summers, her da's old mate dropping by with stories that made her ten-year-old world spin." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "He flexed, wince ghosting his face" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Silas murmured (murmur)" |
| | dialogueSentences | 70 | | tagDensity | 0.029 | | leniency | 0.057 | | rawRatio | 0.5 | | effectiveRatio | 0.029 | |