| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory gestured vaguely [vaguely]" |
| | dialogueSentences | 55 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.045 | | effectiveRatio | 0.036 | |
| 88.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1287 | | totalAiIsmAdverbs | 3 | | 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) | |
| 53.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1287 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "calloused fingers" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "lilt" | | 1 | "silk" | | 2 | "flickered" | | 3 | "could feel" | | 4 | "weight" | | 5 | "calloused fingers" | | 6 | "silence" | | 7 | "perfect" | | 8 | "traced" | | 9 | "unspoken" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "let out a breath" | | count | 2 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | 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 | 1280 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 842 | | uniqueNames | 12 | | maxNameDensity | 2.61 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Thursday | 1 | | Cardiff | 1 | | Price | 1 | | Rory | 22 | | Natalie | 16 | | Evan | 1 | | Silas | 1 | | Prague | 1 | | Berlin | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Price" | | 3 | "Rory" | | 4 | "Natalie" | | 5 | "Evan" | | 6 | "Silas" |
| | places | | 0 | "Cardiff" | | 1 | "Prague" | | 2 | "Berlin" | | 3 | "Soho" |
| | globalScore | 0.194 | | windowScore | 0.167 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like courtroom attire—black trouse" | | 1 | "seemed uncertain hand extended, then lowered" | | 2 | "something like understanding" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1280 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 24.15 | | std | 18.79 | | cv | 0.778 | | sampleLengths | | 0 | 62 | | 1 | 3 | | 2 | 47 | | 3 | 10 | | 4 | 6 | | 5 | 27 | | 6 | 3 | | 7 | 82 | | 8 | 10 | | 9 | 7 | | 10 | 20 | | 11 | 28 | | 12 | 52 | | 13 | 12 | | 14 | 8 | | 15 | 48 | | 16 | 13 | | 17 | 10 | | 18 | 15 | | 19 | 27 | | 20 | 24 | | 21 | 39 | | 22 | 60 | | 23 | 20 | | 24 | 46 | | 25 | 2 | | 26 | 15 | | 27 | 11 | | 28 | 12 | | 29 | 18 | | 30 | 46 | | 31 | 12 | | 32 | 25 | | 33 | 3 | | 34 | 45 | | 35 | 44 | | 36 | 2 | | 37 | 45 | | 38 | 3 | | 39 | 10 | | 40 | 53 | | 41 | 9 | | 42 | 26 | | 43 | 33 | | 44 | 17 | | 45 | 35 | | 46 | 43 | | 47 | 14 | | 48 | 24 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 156 | | matches | | 0 | "were looking" | | 1 | "were still searching" |
| |
| 29.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 126 | | ratio | 0.04 | | matches | | 0 | "The bar was neutral ground—half the people who walked through it were ghosts in their own way, and the other half were looking for ghosts." | | 1 | "She wore a charcoal trench coat over what looked like courtroom attire—black trousers, a silk blouse, heels that probably cost more than Rory's monthly rent." | | 2 | "\"Christ.\" Natalie let out a breath—half laugh, half disbelief." | | 3 | "For a moment she seemed uncertain—hand extended, then lowered." | | 4 | "Rory could feel the weight of the assessment—the worn leather jacket, the restaurant-branded hoodie beneath it, the calloused fingers wrapped around a bar glass." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 852 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.035211267605633804 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01056338028169014 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 10.16 | | std | 8.38 | | cv | 0.825 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 7 | | 3 | 9 | | 4 | 3 | | 5 | 4 | | 6 | 4 | | 7 | 25 | | 8 | 14 | | 9 | 5 | | 10 | 5 | | 11 | 6 | | 12 | 4 | | 13 | 23 | | 14 | 3 | | 15 | 20 | | 16 | 25 | | 17 | 3 | | 18 | 2 | | 19 | 9 | | 20 | 11 | | 21 | 12 | | 22 | 10 | | 23 | 7 | | 24 | 4 | | 25 | 1 | | 26 | 12 | | 27 | 3 | | 28 | 19 | | 29 | 5 | | 30 | 4 | | 31 | 9 | | 32 | 29 | | 33 | 9 | | 34 | 5 | | 35 | 9 | | 36 | 3 | | 37 | 5 | | 38 | 3 | | 39 | 3 | | 40 | 24 | | 41 | 21 | | 42 | 10 | | 43 | 3 | | 44 | 10 | | 45 | 7 | | 46 | 8 | | 47 | 21 | | 48 | 6 | | 49 | 10 |
| |
| 53.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.38095238095238093 | | totalSentences | 126 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 85 | | matches | | 0 | "Then Natalie's mouth opened." | | 1 | "Then she picked up the" | | 2 | "Maybe she'd call." | | 3 | "Maybe she wouldn't." |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 85 | | matches | | 0 | "She'd learned not to." | | 1 | "She knew that voice." | | 2 | "She looked up." | | 3 | "She wore a charcoal trench" | | 4 | "She hadn't changed." | | 5 | "She took a tentative step" | | 6 | "She set down her glass." | | 7 | "She crossed the distance, stopped" | | 8 | "She trailed off." | | 9 | "She pulled a stool out" | | 10 | "She picked up her glass." | | 11 | "She picked up her glass" | | 12 | "She reached into her bag," | | 13 | "She watched her walk out," |
| | ratio | 0.165 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 85 | | matches | | 0 | "The green neon of The" | | 1 | "Rory sat at her usual" | | 2 | "The bar was quiet for" | | 3 | "The door chimed." | | 4 | "Rory didn't look up." | | 5 | "She'd learned not to." | | 6 | "The bar was neutral ground—half" | | 7 | "Rory's fingers tightened around her" | | 8 | "She knew that voice." | | 9 | "She looked up." | | 10 | "Natalie Price stood at the" | | 11 | "She wore a charcoal trench" | | 12 | "She hadn't changed." | | 13 | "The same wide-set green eyes," | | 14 | "A kind of polished authority" | | 15 | "Natalie's gaze swept the room," | | 16 | "She took a tentative step" | | 17 | "Rory heard her own voice" | | 18 | "She set down her glass." | | 19 | "Natalie let out a breath—half" |
| | ratio | 0.718 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "Either way, eye contact was" |
| | ratio | 0.012 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The green neon of The Raven's Nest hummed low against the rain-slicked window, casting emerald light across the condensation that streaked the glass." | | 1 | "The bar was neutral ground—half the people who walked through it were ghosts in their own way, and the other half were looking for ghosts." |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 2 | | matches | | 0 | "Natalie leaned, her voice dropping" | | 1 | "Rory set, untouched" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Natalie continued (continue)" |
| | dialogueSentences | 55 | | tagDensity | 0.109 | | leniency | 0.218 | | rawRatio | 0.167 | | effectiveRatio | 0.036 | |