| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory's throat tightened around [around]" | | 1 | "Sian's knuckles whitened around [around]" |
| | dialogueSentences | 43 | | tagDensity | 0.465 | | leniency | 0.93 | | rawRatio | 0.1 | | effectiveRatio | 0.093 | |
| 91.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1234 | | 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) | |
| 63.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1234 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "methodical" | | 2 | "scanned" | | 3 | "throbbed" | | 4 | "reminder" | | 5 | "stomach" | | 6 | "depths" | | 7 | "comfortable" | | 8 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1234 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 823 | | uniqueNames | 14 | | maxNameDensity | 2.79 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Sian" | | discoveredNames | | Cardiff | 1 | | Raven | 2 | | Nest | 2 | | Silas | 6 | | Rory | 23 | | Sian | 22 | | Morgan | 2 | | London | 1 | | Briggs | 1 | | Solicitors | 1 | | Senior | 1 | | Associate | 1 | | Eastern | 1 | | European | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Sian" | | 5 | "Morgan" |
| | places | | | globalScore | 0.103 | | windowScore | 0 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it had forgotten sleep, and h" | | 1 | "sounded like ash" |
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| 37.93% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.621 | | wordCount | 1234 | | matches | | 0 | "not the lawyer, not the old friend, but pure, naked terror" | | 1 | "not the old friend, but pure, naked terror" |
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| 94.98% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 93 | | matches | | 0 | "frames that Silas" | | 1 | "screamed that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 28.05 | | std | 19.11 | | cv | 0.681 | | sampleLengths | | 0 | 38 | | 1 | 70 | | 2 | 76 | | 3 | 7 | | 4 | 15 | | 5 | 41 | | 6 | 15 | | 7 | 28 | | 8 | 25 | | 9 | 25 | | 10 | 20 | | 11 | 28 | | 12 | 29 | | 13 | 7 | | 14 | 47 | | 15 | 40 | | 16 | 23 | | 17 | 35 | | 18 | 7 | | 19 | 79 | | 20 | 5 | | 21 | 49 | | 22 | 34 | | 23 | 10 | | 24 | 34 | | 25 | 14 | | 26 | 10 | | 27 | 56 | | 28 | 52 | | 29 | 18 | | 30 | 35 | | 31 | 13 | | 32 | 3 | | 33 | 46 | | 34 | 15 | | 35 | 15 | | 36 | 6 | | 37 | 44 | | 38 | 6 | | 39 | 23 | | 40 | 26 | | 41 | 3 | | 42 | 32 | | 43 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 828 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.033816425120772944 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008454106280193236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.27 | | std | 9.15 | | cv | 0.69 | | sampleLengths | | 0 | 5 | | 1 | 33 | | 2 | 5 | | 3 | 27 | | 4 | 23 | | 5 | 15 | | 6 | 17 | | 7 | 15 | | 8 | 28 | | 9 | 16 | | 10 | 7 | | 11 | 8 | | 12 | 7 | | 13 | 9 | | 14 | 32 | | 15 | 11 | | 16 | 4 | | 17 | 14 | | 18 | 14 | | 19 | 8 | | 20 | 11 | | 21 | 6 | | 22 | 16 | | 23 | 9 | | 24 | 3 | | 25 | 13 | | 26 | 4 | | 27 | 9 | | 28 | 19 | | 29 | 9 | | 30 | 11 | | 31 | 9 | | 32 | 7 | | 33 | 15 | | 34 | 32 | | 35 | 5 | | 36 | 1 | | 37 | 34 | | 38 | 15 | | 39 | 8 | | 40 | 3 | | 41 | 11 | | 42 | 21 | | 43 | 7 | | 44 | 13 | | 45 | 30 | | 46 | 36 | | 47 | 2 | | 48 | 3 | | 49 | 14 |
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| 75.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4731182795698925 | | totalSentences | 93 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Once, Sian Morgan had lived" | | 1 | "Then the bar door exploded" | | 2 | "Then the figures moved, and" |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 63 | | matches | | 0 | "She turned on the stool." | | 1 | "His silver signet ring caught" | | 2 | "Her left wrist, hidden beneath" | | 3 | "She gestured toward the ceiling" | | 4 | "He nodded, already reaching for" | | 5 | "She wrapped her fingers around" | | 6 | "She paused, and for a" | | 7 | "Her coat fell perfectly around" | | 8 | "She turned toward the door," | | 9 | "Her fingers brushed Sian's, cold" | | 10 | "She glanced back at Rory," |
| | ratio | 0.175 | |
| 23.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 63 | | matches | | 0 | "Rory nearly dropped her pint." | | 1 | "The voice that spoke her" | | 2 | "She turned on the stool." | | 3 | "The Raven's Nest wrapped around" | | 4 | "His silver signet ring caught" | | 5 | "The woman standing by Rory's" | | 6 | "Rory's throat tightened around the" | | 7 | "Sian's smile didn't reach her" | | 8 | "Rory set the glass down" | | 9 | "Her left wrist, hidden beneath" | | 10 | "She gestured toward the ceiling" | | 11 | "Sian slid onto the adjacent" | | 12 | "Rory signalled Silas with two" | | 13 | "He nodded, already reaching for" | | 14 | "Sian accepted the tumbler Silas" | | 15 | "Rory's stomach dropped." | | 16 | "She wrapped her fingers around" | | 17 | "Sian sipped, winced slightly at" | | 18 | "Rory stared into the amber" | | 19 | "The bar smelled of stale" |
| | ratio | 0.873 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Now her cheekbones cut sharp" |
| | ratio | 0.016 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "Now her cheekbones cut sharp angles beneath skin that looked like it had forgotten sleep, and her blonde hair was pulled back so tight it seemed to hurt." | | 1 | "The shadow that had followed her for two years, that had turned her brilliant mind into a calculator for avoiding bruises, for measuring tones of voice, for kno…" | | 2 | "Time had taken her softness and forged it into something dangerous, something that wore armour in the form of tailored wool." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory laughed (laugh)" | | 1 | "Sian whispered (whisper)" |
| | dialogueSentences | 43 | | tagDensity | 0.116 | | leniency | 0.233 | | rawRatio | 0.4 | | effectiveRatio | 0.093 | |