| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1115 | | 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) | |
| 19.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1115 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "weight" | | 3 | "traced" | | 4 | "solitary" | | 5 | "amidst" | | 6 | "chaotic" | | 7 | "chill" | | 8 | "warmth" | | 9 | "silence" | | 10 | "echoed" | | 11 | "flickered" | | 12 | "predator" | | 13 | "pulsed" | | 14 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 860 | | uniqueNames | 10 | | maxNameDensity | 1.98 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 2 | | Golden | 1 | | Empress | 1 | | London | 2 | | Cardiff | 1 | | Eva | 14 | | Rory | 17 | | Silas | 5 |
| | persons | | 0 | "Empress" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Golden" | | 3 | "London" | | 4 | "Cardiff" |
| | globalScore | 0.512 | | windowScore | 0.167 | |
| 22.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it had never known a speck of" | | 1 | "sounded like Cardiff summers and cheap cid" | | 2 | "felt like a heavy anchor in the shiftin" |
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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 | 1111 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 17.09 | | std | 13.34 | | cv | 0.78 | | sampleLengths | | 0 | 56 | | 1 | 54 | | 2 | 39 | | 3 | 14 | | 4 | 20 | | 5 | 7 | | 6 | 12 | | 7 | 17 | | 8 | 32 | | 9 | 66 | | 10 | 22 | | 11 | 1 | | 12 | 30 | | 13 | 13 | | 14 | 1 | | 15 | 11 | | 16 | 36 | | 17 | 15 | | 18 | 28 | | 19 | 6 | | 20 | 30 | | 21 | 3 | | 22 | 22 | | 23 | 8 | | 24 | 4 | | 25 | 19 | | 26 | 16 | | 27 | 12 | | 28 | 23 | | 29 | 1 | | 30 | 9 | | 31 | 10 | | 32 | 23 | | 33 | 8 | | 34 | 13 | | 35 | 3 | | 36 | 5 | | 37 | 22 | | 38 | 21 | | 39 | 13 | | 40 | 11 | | 41 | 8 | | 42 | 14 | | 43 | 3 | | 44 | 20 | | 45 | 12 | | 46 | 28 | | 47 | 12 | | 48 | 16 | | 49 | 26 |
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| 89.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 67 | | matches | | 0 | "was pulled" | | 1 | "been scrubbed" | | 2 | "being heard" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 136 | | matches | | 0 | "was running" | | 1 | "was watching" |
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| 54.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 97 | | ratio | 0.031 | | matches | | 0 | "A sudden gust of wind swept through the entrance, bringing the scent of rain and expensive perfume—something floral and sharp that sliced through the bar's musk." | | 1 | "She watched Eva’s eyes drop to her hands—to the blunt, working-class nails and the faint stain of grease that wouldn't wash off." | | 2 | "She looked at Rory—really looked at her—and saw the distance that no amount of conversation could bridge." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 22 | | adverbRatio | 0.02528735632183908 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008045977011494253 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.45 | | std | 6.23 | | cv | 0.544 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 19 | | 3 | 18 | | 4 | 21 | | 5 | 15 | | 6 | 8 | | 7 | 17 | | 8 | 14 | | 9 | 14 | | 10 | 5 | | 11 | 15 | | 12 | 7 | | 13 | 12 | | 14 | 17 | | 15 | 26 | | 16 | 6 | | 17 | 4 | | 18 | 23 | | 19 | 6 | | 20 | 17 | | 21 | 16 | | 22 | 10 | | 23 | 12 | | 24 | 1 | | 25 | 5 | | 26 | 25 | | 27 | 2 | | 28 | 11 | | 29 | 1 | | 30 | 11 | | 31 | 18 | | 32 | 18 | | 33 | 15 | | 34 | 11 | | 35 | 17 | | 36 | 6 | | 37 | 8 | | 38 | 22 | | 39 | 3 | | 40 | 7 | | 41 | 15 | | 42 | 8 | | 43 | 4 | | 44 | 19 | | 45 | 2 | | 46 | 14 | | 47 | 12 | | 48 | 23 | | 49 | 1 |
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| 47.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.24742268041237114 | | totalSentences | 97 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 90.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 65 | | matches | | 0 | "Her fingers traced the small," | | 1 | "His silver signet ring caught" | | 2 | "He didn't look up, his" | | 3 | "She watched the reflection in" | | 4 | "She wore a camel-hair coat" | | 5 | "Her hair, once a chaotic" | | 6 | "Her eyes widened, the light" | | 7 | "It sounded like Cardiff summers" | | 8 | "She stopped a few feet" | | 9 | "She looked at the maps" | | 10 | "She watched Eva’s eyes drop" | | 11 | "It held the cool detachment" | | 12 | "She smoothed the front of" | | 13 | "She leaned against the bar," | | 14 | "She hovered, poised to flee." | | 15 | "She didn't look away, but" | | 16 | "It was the question of" | | 17 | "She looked around the room," | | 18 | "She looked at Rory—really looked" | | 19 | "He didn't look up, but" |
| | ratio | 0.323 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 65 | | matches | | 0 | "The green neon sign above" | | 1 | "Maps of forgotten territories clung" | | 2 | "Aurora leaned against the mahogany" | | 3 | "Her fingers traced the small," | | 4 | "The heavy delivery bags from" | | 5 | "Silas moved behind the bar," | | 6 | "The slight limp in his" | | 7 | "His silver signet ring caught" | | 8 | "Silas set a coaster down." | | 9 | "He didn't look up, his" | | 10 | "Rory took a slow breath," | | 11 | "A sudden gust of wind" | | 12 | "The heavy oak door thudded" | | 13 | "Rory didn't turn immediately." | | 14 | "She watched the reflection in" | | 15 | "A woman stood in the" | | 16 | "She wore a camel-hair coat" | | 17 | "Her hair, once a chaotic" | | 18 | "The woman’s gaze swept the" | | 19 | "Her eyes widened, the light" |
| | ratio | 0.969 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 59.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 5 | | matches | | 0 | "She wore a camel-hair coat that looked like it had never known a speck of London grit." | | 1 | "She stopped a few feet away, her hands clutching a designer clutch as if it were a shield." | | 2 | "She watched Eva’s eyes drop to her hands—to the blunt, working-class nails and the faint stain of grease that wouldn't wash off." | | 3 | "She didn't look away, but her expression tightened into something that resembled pity." | | 4 | "She looked around the room, her gaze landing on Silas, who was watching them with the stillness of a predator." |
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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 | |