| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "His gaze drifted pointedly [pointedly]" | | 1 | "she responded carefully [carefully]" |
| | dialogueSentences | 33 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 88.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 882 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 882 | | totalAiIsms | 23 | | found | | 0 | | word | "skipped a beat" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "skipped a beat" | | 1 | "tracing" | | 2 | "whisper" | | 3 | "enigma" | | 4 | "predictable" | | 5 | "tension" | | 6 | "charm" | | 7 | "shattered" | | 8 | "lilt" | | 9 | "complex" | | 10 | "pulse" | | 11 | "glistening" | | 12 | "unspoken" | | 13 | "silk" | | 14 | "echoed" | | 15 | "tantalizing" | | 16 | "aligned" | | 17 | "trepidation" | | 18 | "weight" | | 19 | "comfortable" | | 20 | "unravel" |
| |
| 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 | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | 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 | 867 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 640 | | uniqueNames | 10 | | maxNameDensity | 1.09 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Brick | 1 | | Lane | 1 | | Aurora | 6 | | Moreau | 1 | | English | 1 | | Picasso | 1 | | Lucien | 7 | | Unexpectedly | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Moreau" | | 3 | "Picasso" | | 4 | "Lucien" |
| | places | | | globalScore | 0.953 | | windowScore | 1 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed misplaced like a Picasso in a second-hand shop" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 867 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 27.09 | | std | 14.1 | | cv | 0.52 | | sampleLengths | | 0 | 80 | | 1 | 48 | | 2 | 56 | | 3 | 20 | | 4 | 32 | | 5 | 16 | | 6 | 39 | | 7 | 16 | | 8 | 28 | | 9 | 35 | | 10 | 18 | | 11 | 4 | | 12 | 14 | | 13 | 23 | | 14 | 32 | | 15 | 26 | | 16 | 21 | | 17 | 34 | | 18 | 24 | | 19 | 14 | | 20 | 38 | | 21 | 22 | | 22 | 22 | | 23 | 19 | | 24 | 23 | | 25 | 25 | | 26 | 32 | | 27 | 17 | | 28 | 20 | | 29 | 33 | | 30 | 22 | | 31 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 63 | | ratio | 0.063 | | matches | | 0 | "The ivory-handled cane—a deceptive thing hiding a blade—leaned elegantly against his leg." | | 1 | "Too close—close to truths he had no right to exploit." | | 2 | "Her guard slipped for a fraction—a glance, glistening with mutual comprehension." | | 3 | "Lucien moved with serpentine grace, shortening the space between them until she caught his subtle aftershave; something woody, spiked with a spicy undernote." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 652 | | adjectiveStacks | 1 | | stackExamples | | 0 | "half-charmed half-dangerous, His" |
| | adverbCount | 20 | | adverbRatio | 0.03067484662576687 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010736196319018405 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 13.76 | | std | 6.42 | | cv | 0.466 | | sampleLengths | | 0 | 27 | | 1 | 15 | | 2 | 17 | | 3 | 21 | | 4 | 17 | | 5 | 16 | | 6 | 15 | | 7 | 16 | | 8 | 9 | | 9 | 12 | | 10 | 19 | | 11 | 20 | | 12 | 10 | | 13 | 22 | | 14 | 12 | | 15 | 4 | | 16 | 15 | | 17 | 24 | | 18 | 15 | | 19 | 1 | | 20 | 8 | | 21 | 20 | | 22 | 24 | | 23 | 11 | | 24 | 13 | | 25 | 5 | | 26 | 4 | | 27 | 7 | | 28 | 7 | | 29 | 19 | | 30 | 4 | | 31 | 16 | | 32 | 5 | | 33 | 11 | | 34 | 26 | | 35 | 11 | | 36 | 10 | | 37 | 9 | | 38 | 25 | | 39 | 19 | | 40 | 5 | | 41 | 14 | | 42 | 11 | | 43 | 12 | | 44 | 15 | | 45 | 18 | | 46 | 4 | | 47 | 14 | | 48 | 8 | | 49 | 19 |
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| 95.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5714285714285714 | | totalSentences | 63 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 49 | | matches | | 0 | "Too close—close to truths he" | | 1 | "Unexpectedly, Ptolemy, hitherto uninterested, ambled" |
| | ratio | 0.041 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 49 | | matches | | 0 | "Her heart, already thrumming from" | | 1 | "She drew a breath, channelling" | | 2 | "His tailored charcoal suit embedded" | | 3 | "Her voice managed steadiness, although" | | 4 | "He inclined his head, a" | | 5 | "His accented English was gentle," | | 6 | "she countered, stepping aside to" | | 7 | "He moved past her, his" | | 8 | "His presence here seemed misplaced," | | 9 | "His gaze drifted pointedly to" | | 10 | "she corrected, pulling a stray" | | 11 | "Her laugh was a dry," | | 12 | "He approached the makeshift desk" | | 13 | "His sentence shattered midsyllable, attention" | | 14 | "She lunged to reclaim it," | | 15 | "His voice glossed the question," | | 16 | "she interjected, wresting the scroll" | | 17 | "she retorted, trying to cloak" | | 18 | "Her guard slipped for a" | | 19 | "He caught it, as he" |
| | ratio | 0.571 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 49 | | matches | | 0 | "The sound of a doorbell" | | 1 | "Her heart, already thrumming from" | | 2 | "Ptolemy, Eva's tabby, stirred from" | | 3 | "Aurora's hand hesitated on the" | | 4 | "She drew a breath, channelling" | | 5 | "Lucien Moreau stood framed by" | | 6 | "His tailored charcoal suit embedded" | | 7 | "The ivory-handled cane—a deceptive thing" | | 8 | "Her voice managed steadiness, although" | | 9 | "He inclined his head, a" | | 10 | "His accented English was gentle," | | 11 | "she countered, stepping aside to" | | 12 | "He moved past her, his" | | 13 | "The ornate wallpaper, a cascade" | | 14 | "Lucien commented, leaning on his" | | 15 | "Aurora answered, closing the door" | | 16 | "His presence here seemed misplaced," | | 17 | "His gaze drifted pointedly to" | | 18 | "she corrected, pulling a stray" | | 19 | "Her laugh was a dry," |
| | ratio | 0.857 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 49 | | matches | | 0 | "Whoever stood on the other" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The sound of a doorbell pierced the quiet confines of Eva's flat on Brick Lane, its intrusion making Aurora startle, nearly upsetting a precarious tower of book…" |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora said, a defiant smirk clashing with the trepidation in her eyes" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 8 | | fancyTags | | 0 | "Lucien commented (comment)" | | 1 | "she corrected (correct)" | | 2 | "she interjected (interject)" | | 3 | "she retorted (retort)" | | 4 | "she responded carefully (respond)" | | 5 | "he murmured (murmur)" | | 6 | "she conceded (concede)" | | 7 | "he quipped (quip)" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.727 | | effectiveRatio | 0.485 | |