| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.31 | | leniency | 0.619 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1211 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "ever so slightly" | | count | 1 |
|
| | highlights | | 0 | "utterly" | | 1 | "ever so slightly" |
| |
| 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) | |
| 25.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1211 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "tracing" | | 2 | "reminder" | | 3 | "weight" | | 4 | "gloom" | | 5 | "porcelain" | | 6 | "echoed" | | 7 | "measured" | | 8 | "rhythmic" | | 9 | "warmth" | | 10 | "glint" | | 11 | "shattered" | | 12 | "flickered" |
| |
| 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 | 55 | | matches | (empty) | |
| 90.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1209 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 791 | | uniqueNames | 6 | | maxNameDensity | 0.88 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Silas | 7 | | Cardiff | 1 | | Evan | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a burning coal against my ski" | | 1 | "felt like a chasm that had been widenin" |
| |
| 34.57% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.654 | | wordCount | 1209 | | matches | | 0 | "Not for a barrister, not for a daughter, but for the girl who stole a specific, small key from a desk in" | | 1 | "not for a daughter, but for the girl who stole a specific, small key from a desk in" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 22.81 | | std | 14.07 | | cv | 0.617 | | sampleLengths | | 0 | 45 | | 1 | 22 | | 2 | 46 | | 3 | 23 | | 4 | 6 | | 5 | 18 | | 6 | 52 | | 7 | 58 | | 8 | 10 | | 9 | 3 | | 10 | 3 | | 11 | 24 | | 12 | 43 | | 13 | 13 | | 14 | 12 | | 15 | 8 | | 16 | 41 | | 17 | 5 | | 18 | 14 | | 19 | 41 | | 20 | 5 | | 21 | 12 | | 22 | 28 | | 23 | 24 | | 24 | 15 | | 25 | 13 | | 26 | 22 | | 27 | 36 | | 28 | 29 | | 29 | 30 | | 30 | 6 | | 31 | 14 | | 32 | 49 | | 33 | 7 | | 34 | 17 | | 35 | 15 | | 36 | 36 | | 37 | 7 | | 38 | 24 | | 39 | 4 | | 40 | 15 | | 41 | 33 | | 42 | 16 | | 43 | 33 | | 44 | 18 | | 45 | 33 | | 46 | 24 | | 47 | 20 | | 48 | 20 | | 49 | 35 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 74.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 84 | | ratio | 0.024 | | matches | | 0 | "He flipped the ledger open, revealing pages densely packed with handwriting—names, dates, locations, a history of the city written in ink and regret." | | 1 | "His boots clicked against the floor—measured, rhythmic, inevitable." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 795 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.022641509433962263 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011320754716981131 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 14.39 | | std | 7.59 | | cv | 0.527 | | sampleLengths | | 0 | 20 | | 1 | 25 | | 2 | 22 | | 3 | 16 | | 4 | 4 | | 5 | 26 | | 6 | 23 | | 7 | 6 | | 8 | 18 | | 9 | 4 | | 10 | 14 | | 11 | 6 | | 12 | 28 | | 13 | 16 | | 14 | 26 | | 15 | 16 | | 16 | 10 | | 17 | 3 | | 18 | 3 | | 19 | 24 | | 20 | 9 | | 21 | 24 | | 22 | 10 | | 23 | 13 | | 24 | 12 | | 25 | 8 | | 26 | 14 | | 27 | 27 | | 28 | 5 | | 29 | 14 | | 30 | 8 | | 31 | 21 | | 32 | 12 | | 33 | 5 | | 34 | 12 | | 35 | 18 | | 36 | 10 | | 37 | 13 | | 38 | 11 | | 39 | 15 | | 40 | 13 | | 41 | 12 | | 42 | 10 | | 43 | 23 | | 44 | 13 | | 45 | 29 | | 46 | 3 | | 47 | 27 | | 48 | 6 | | 49 | 14 |
| |
| 38.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.30952380952380953 | | totalSentences | 84 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 54 | | matches | | 0 | "I said, sliding onto the" | | 1 | "He didn't move immediately." | | 2 | "He held the bottle with" | | 3 | "He poured the liquid." | | 4 | "I took a sharp, burning" | | 5 | "My fingers brushed against the" | | 6 | "he observed, leaning against the" | | 7 | "He wiped a glass with" | | 8 | "I watched Silas’s eyes shift," | | 9 | "He placed the rag down" | | 10 | "I gripped the cold glass" | | 11 | "He gestured with his chin" | | 12 | "It was a man, tall" | | 13 | "He pulled out a heavy," | | 14 | "he corrected, his voice a" | | 15 | "He flipped the ledger open," | | 16 | "He pointed to a singular," | | 17 | "My breath hitched." | | 18 | "I felt the weight of" | | 19 | "He didn't step into the" |
| | ratio | 0.574 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 54 | | matches | | 0 | "The heavy mahogany door of" | | 1 | "I said, sliding onto the" | | 2 | "Silas peered over the rim" | | 3 | "He didn't move immediately." | | 4 | "He held the bottle with" | | 5 | "He poured the liquid." | | 6 | "The amber glow danced in" | | 7 | "I took a sharp, burning" | | 8 | "My fingers brushed against the" | | 9 | "he observed, leaning against the" | | 10 | "He wiped a glass with" | | 11 | "The door behind me creaked," | | 12 | "I watched Silas’s eyes shift," | | 13 | "He placed the rag down" | | 14 | "The name cut through the" | | 15 | "I gripped the cold glass" | | 16 | "He gestured with his chin" | | 17 | "A silhouette stood blocked by" | | 18 | "It was a man, tall" | | 19 | "Silas reached under the counter," |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "I felt the weight of the silver item hidden in my pocket, a cold, jagged piece of metal that felt like a burning coal against my skin." | | 1 | "He wore a coat that hung too long and a hat pulled low, obscuring the features that I had spent years trying to forget." |
| |
| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas reached, his fingers grazing the wood" | | 1 | "he corrected, his voice a low, gravelly rasp" | | 2 | "I said, my fingers closing around the metal" |
| |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "he corrected (correct)" | | 2 | "I breathed (breathe)" |
| | dialogueSentences | 42 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.3 | | effectiveRatio | 0.143 | |