| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora’s voice cracked like [like]" |
| | dialogueSentences | 38 | | tagDensity | 0.342 | | leniency | 0.684 | | rawRatio | 0.077 | | effectiveRatio | 0.053 | |
| 95.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1218 | | totalAiIsmAdverbs | 1 | | 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) | |
| 42.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1218 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "warmth" | | 1 | "shimmered" | | 2 | "stomach" | | 3 | "flickered" | | 4 | "weight" | | 5 | "tracing" | | 6 | "etching" | | 7 | "jaw clenched" | | 8 | "silence" | | 9 | "glinting" | | 10 | "affection" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "stomach knotted" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | 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 | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 806 | | uniqueNames | 10 | | maxNameDensity | 0.87 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 2 | | Aurora | 5 | | Carter | 1 | | Raven | 2 | | Nest | 2 | | Blackwood | 1 | | Si | 1 | | Rory | 5 | | Prague | 1 | | Silas | 7 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Blackwood" | | 5 | "Si" | | 6 | "Rory" | | 7 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 5 | | matches | | 0 | "as if waiting for an enemy to reveal herself" | | 1 | "not quite sitting yet" | | 2 | "as if searching for the child who’d trusted him, who’d taken orders from the spymaster of Soho when she should have been at home, safe and naive" | | 3 | "as if shedding a weight" | | 4 | "as if anchoring himself on each new line and loss" |
| |
| 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 | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 28.07 | | std | 17.39 | | cv | 0.619 | | sampleLengths | | 0 | 53 | | 1 | 79 | | 2 | 28 | | 3 | 81 | | 4 | 53 | | 5 | 26 | | 6 | 27 | | 7 | 21 | | 8 | 13 | | 9 | 39 | | 10 | 19 | | 11 | 14 | | 12 | 21 | | 13 | 21 | | 14 | 18 | | 15 | 14 | | 16 | 14 | | 17 | 27 | | 18 | 25 | | 19 | 21 | | 20 | 15 | | 21 | 33 | | 22 | 40 | | 23 | 20 | | 24 | 7 | | 25 | 15 | | 26 | 33 | | 27 | 77 | | 28 | 17 | | 29 | 27 | | 30 | 33 | | 31 | 25 | | 32 | 16 | | 33 | 33 | | 34 | 16 | | 35 | 41 | | 36 | 15 | | 37 | 18 | | 38 | 26 | | 39 | 23 | | 40 | 18 | | 41 | 7 | | 42 | 38 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 3 | | flaggedSentences | 9 | | totalSentences | 100 | | ratio | 0.09 | | matches | | 0 | "Maps clung to the walls, their countries faded by decades of cigarette smoke, and above every table, old photographs stared down from burnished frames—adventurers, soldiers, smiling strangers." | | 1 | "Her satchel slipped from her shoulder; she stooped to recover it." | | 2 | "Silas—Si, from days when she’d thought bravado would shelter her from consequence—looked up, spotted her." | | 3 | "His gaze lingered on her clothes—cheap black turtleneck, trousers scuffed at the knees, the faded canvas satchel she’d procured from a charity shop when her money stretched thin." | | 4 | "He didn’t buy it; she saw that." | | 5 | "All the old hurts—the nights spent waiting for him to show, waiting for news when Prague went black—clung to the silence." | | 6 | "His hand settled on the table, palm up, fingers flexing as spasms wracked the joint—a nod to the limp and scar tissue, another inheritance." | | 7 | "Above them, a man at the bar launched into a bitter song about lost love; outside, the rain fattened, the city’s secrets sluicing down storm drains." | | 8 | "In that gesture, the years collapsed between them—regret and hope knotting tight, binding them to the neon-lit hush of The Raven’s Nest and the territory they’d both carved out, inch by inch." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 816 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thin, glass-shaded light." |
| | adverbCount | 13 | | adverbRatio | 0.015931372549019607 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0012254901960784314 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 12.07 | | std | 7.81 | | cv | 0.647 | | sampleLengths | | 0 | 26 | | 1 | 5 | | 2 | 13 | | 3 | 9 | | 4 | 5 | | 5 | 23 | | 6 | 27 | | 7 | 10 | | 8 | 14 | | 9 | 17 | | 10 | 11 | | 11 | 12 | | 12 | 3 | | 13 | 15 | | 14 | 28 | | 15 | 2 | | 16 | 21 | | 17 | 6 | | 18 | 15 | | 19 | 17 | | 20 | 15 | | 21 | 16 | | 22 | 10 | | 23 | 4 | | 24 | 23 | | 25 | 2 | | 26 | 8 | | 27 | 11 | | 28 | 13 | | 29 | 3 | | 30 | 8 | | 31 | 28 | | 32 | 14 | | 33 | 5 | | 34 | 3 | | 35 | 11 | | 36 | 13 | | 37 | 8 | | 38 | 16 | | 39 | 5 | | 40 | 18 | | 41 | 14 | | 42 | 7 | | 43 | 3 | | 44 | 4 | | 45 | 5 | | 46 | 22 | | 47 | 7 | | 48 | 18 | | 49 | 9 |
| |
| 77.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.47 | | totalSentences | 100 | | uniqueOpeners | 47 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | 0 | "Then, at last, he beckoned" |
| | ratio | 0.014 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 72 | | matches | | 0 | "She pushed in, clutching her" | | 1 | "Her satchel slipped from her" | | 2 | "He looked older." | | 3 | "His auburn hair had thinned," | | 4 | "He hunched that massive frame" | | 5 | "His hazel eyes flickered, narrowed," | | 6 | "she grinned, letting the memories" | | 7 | "She gripped the backrest opposite" | | 8 | "He didn’t smile back." | | 9 | "His gaze lingered on her" | | 10 | "He paused, collecting a thought" | | 11 | "She dropped her bag to" | | 12 | "He picked up his glass," | | 13 | "She spat the name" | | 14 | "her chin jerked at the" | | 15 | "He didn’t buy it; she" | | 16 | "His voice cracked, low and" | | 17 | "She stared at him, sharp" | | 18 | "He didn’t wait" | | 19 | "His eyes flickered, jaw clenched." |
| | ratio | 0.5 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 72 | | matches | | 0 | "Rain clung stubbornly to Soho’s" | | 1 | "The bar’s neon sign, cracked" | | 2 | "She pushed in, clutching her" | | 3 | "The air shimmered with the" | | 4 | "Maps clung to the walls," | | 5 | "Someone nearer the back coughed" | | 6 | "Aurora waited at the edge," | | 7 | "Her satchel slipped from her" | | 8 | "That’s when she noticed the" | | 9 | "He looked older." | | 10 | "His auburn hair had thinned," | | 11 | "He hunched that massive frame" | | 12 | "The limp in his left" | | 13 | "A breath caught in her" | | 14 | "Silas—Si, from days when she’d" | | 15 | "His hazel eyes flickered, narrowed," | | 16 | "she grinned, letting the memories" | | 17 | "She gripped the backrest opposite" | | 18 | "He didn’t smile back." | | 19 | "The seat sagged under her" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "Rain clung stubbornly to Soho’s pavements, smearing the city lights into ribbons of green and gold as Aurora Carter ducked beneath The Raven’s Nest’s dripping a…" | | 1 | "He hunched that massive frame over a page of notes, the elbow of his right arm cocked wide as if the ache had carried through the years undiminished." | | 2 | "His gaze roved her face, as if anchoring himself on each new line and loss." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Gaze sweeping, as if searching for the child who’d trusted him, who’d taken orders from the spymaster of Soho when she should have been at home, safe and naive" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "She spat (spit)" | | 1 | "he muttered (mutter)" |
| | dialogueSentences | 38 | | tagDensity | 0.079 | | leniency | 0.158 | | rawRatio | 0.667 | | effectiveRatio | 0.105 | |