| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "Elara corrected sharply [sharply]" | | 1 | "Silas said softly [softly]" |
| | dialogueSentences | 54 | | tagDensity | 0.426 | | leniency | 0.852 | | rawRatio | 0.087 | | effectiveRatio | 0.074 | |
| 79.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1210 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "sharply" | | 2 | "suddenly" | | 3 | "softly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 4.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1210 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "perfect" | | 1 | "churn" | | 2 | "familiar" | | 3 | "flicker" | | 4 | "unreadable" | | 5 | "scanned" | | 6 | "intensity" | | 7 | "silence" | | 8 | "eyebrow" | | 9 | "tension" | | 10 | "flickered" | | 11 | "palpable" | | 12 | "glinting" | | 13 | "whisper" | | 14 | "unspoken" | | 15 | "shattered" | | 16 | "weight" | | 17 | "stomach" |
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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 | 1 | | narrationSentences | 88 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1206 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 823 | | uniqueNames | 17 | | maxNameDensity | 2.67 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Elara" | | discoveredNames | | Raven | 3 | | Nest | 3 | | Tuesday | 1 | | General | 1 | | Tso | 1 | | London | 3 | | Rory | 22 | | Davies | 2 | | Elara | 20 | | Cardiff | 1 | | Silas | 8 | | Evan | 1 | | Director | 1 | | Strategic | 1 | | Acquisitions | 2 | | Thorne | 1 | | Industries | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Tso" | | 3 | "Rory" | | 4 | "Davies" | | 5 | "Elara" | | 6 | "Silas" | | 7 | "Evan" |
| | places | | | globalScore | 0.163 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like forgotten stories and dimly l" |
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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 | 1206 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 23.65 | | std | 16.77 | | cv | 0.709 | | sampleLengths | | 0 | 52 | | 1 | 61 | | 2 | 16 | | 3 | 19 | | 4 | 25 | | 5 | 50 | | 6 | 13 | | 7 | 22 | | 8 | 101 | | 9 | 16 | | 10 | 48 | | 11 | 10 | | 12 | 13 | | 13 | 17 | | 14 | 10 | | 15 | 20 | | 16 | 24 | | 17 | 9 | | 18 | 51 | | 19 | 13 | | 20 | 15 | | 21 | 15 | | 22 | 16 | | 23 | 7 | | 24 | 12 | | 25 | 3 | | 26 | 21 | | 27 | 13 | | 28 | 19 | | 29 | 22 | | 30 | 28 | | 31 | 16 | | 32 | 13 | | 33 | 24 | | 34 | 30 | | 35 | 11 | | 36 | 23 | | 37 | 20 | | 38 | 8 | | 39 | 30 | | 40 | 24 | | 41 | 21 | | 42 | 29 | | 43 | 39 | | 44 | 29 | | 45 | 34 | | 46 | 6 | | 47 | 18 | | 48 | 29 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 46.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 118 | | ratio | 0.034 | | matches | | 0 | "The place was mostly empty; a few regulars hunched over pints, the low murmur of conversation barely audible above the clinking of glasses." | | 1 | "She scanned the room, lingering on the faded maps and black-and-white photographs that plastered the walls – ghosts of lives lived and lost." | | 2 | "Gone was the whirlwind of auburn curls; in their place, a severe, dark bun pulled tight against her skull." | | 3 | "Her clothes were impeccable – a tailored grey suit that probably cost more than Rory’s rent." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 826 | | adjectiveStacks | 1 | | stackExamples | | 0 | "inseparable, bright-eyed teenagers" |
| | adverbCount | 23 | | adverbRatio | 0.02784503631961259 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.015738498789346248 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 10.22 | | std | 6.13 | | cv | 0.6 | | sampleLengths | | 0 | 18 | | 1 | 8 | | 2 | 3 | | 3 | 2 | | 4 | 1 | | 5 | 20 | | 6 | 19 | | 7 | 23 | | 8 | 19 | | 9 | 16 | | 10 | 12 | | 11 | 7 | | 12 | 6 | | 13 | 16 | | 14 | 3 | | 15 | 11 | | 16 | 7 | | 17 | 9 | | 18 | 23 | | 19 | 6 | | 20 | 7 | | 21 | 2 | | 22 | 18 | | 23 | 2 | | 24 | 11 | | 25 | 2 | | 26 | 1 | | 27 | 23 | | 28 | 3 | | 29 | 8 | | 30 | 19 | | 31 | 16 | | 32 | 18 | | 33 | 8 | | 34 | 8 | | 35 | 12 | | 36 | 18 | | 37 | 18 | | 38 | 10 | | 39 | 13 | | 40 | 8 | | 41 | 9 | | 42 | 6 | | 43 | 4 | | 44 | 10 | | 45 | 10 | | 46 | 7 | | 47 | 1 | | 48 | 7 | | 49 | 9 |
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| 70.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4406779661016949 | | totalSentences | 118 | | uniqueOpeners | 52 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Still smelled like forgotten stories" | | 1 | "Clearly, she was wrong." |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 80 | | matches | | 0 | "She needed a pint and" | | 1 | "She pushed through the door," | | 2 | "He set the glass down" | | 3 | "she replied, sliding onto a" | | 4 | "He chuckled, a dry, rasping" | | 5 | "He slid a pint of" | | 6 | "She scanned the room, lingering" | | 7 | "She was all sharp angles" | | 8 | "Her clothes were impeccable –" | | 9 | "She pushed off the bookshelf" | | 10 | "Her gaze lingered on Rory’s" | | 11 | "They hadn't spoken in ten" | | 12 | "She’d assumed Elara was living" | | 13 | "She signaled to Silas" | | 14 | "She fished a business card" | | 15 | "She didn’t finish the sentence" | | 16 | "She didn't wait for a" | | 17 | "She turned and strode out" | | 18 | "It read: Elara Davies, Director" | | 19 | "She crumpled it, tossing it" |
| | ratio | 0.275 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 80 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory wiped condensation from the" | | 2 | "A Tuesday night." | | 3 | "She needed a pint and" | | 4 | "She pushed through the door," | | 5 | "The place was mostly empty;" | | 6 | "Silas, perched behind the bar" | | 7 | "He set the glass down" | | 8 | "she replied, sliding onto a" | | 9 | "He chuckled, a dry, rasping" | | 10 | "He slid a pint of" | | 11 | "Rory took a long swallow," | | 12 | "The Raven's Nest hadn’t changed" | | 13 | "She scanned the room, lingering" | | 14 | "A voice cut through the" | | 15 | "Rory felt a jolt, a" | | 16 | "The last time she saw" | | 17 | "She was all sharp angles" | | 18 | "Her clothes were impeccable –" | | 19 | "The soft, artistic eyes she" |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "She scanned the room, lingering on the faded maps and black-and-white photographs that plastered the walls – ghosts of lives lived and lost." | | 1 | "She’d assumed Elara was living her dream, splashing colors across buildings, inspiring people." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 8 | | matches | | 0 | "Rory managed, her voice a little shaky" | | 1 | "Rory asked, needing to break the awkward silence" | | 2 | "Elara said, her voice cool and clipped" | | 3 | "Rory asked, the memory surfacing unexpectedly" | | 4 | "Rory retorted, the words slipping out before she could stop them" | | 5 | "Elara said, her voice low and dangerous" | | 6 | "Silas said, his gaze distant" | | 7 | "She finished, the taste suddenly flat and bitter" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Elara corrected sharply (correct)" | | 1 | "Rory mumbled (mumble)" | | 2 | "Rory retorted (retort)" | | 3 | "Rory laughed (laugh)" |
| | dialogueSentences | 54 | | tagDensity | 0.204 | | leniency | 0.407 | | rawRatio | 0.364 | | effectiveRatio | 0.148 | |