| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1205 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 1205 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "traced" | | 5 | "echo" | | 6 | "chill" | | 7 | "whisper" | | 8 | "scanned" | | 9 | "wavered" | | 10 | "stark" | | 11 | "pulse" | | 12 | "vibrated" | | 13 | "footsteps" | | 14 | "flickered" | | 15 | "echoed" | | 16 | "shimmered" | | 17 | "beacon" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 231 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 231 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 235 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 15 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1202 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1187 | | uniqueNames | 6 | | maxNameDensity | 0.67 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | London | 1 | | Heartstone | 2 | | Pendant | 1 | | November | 1 | | Aurora | 8 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "November" | | 3 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like walking through a curtain of" | | 1 | "seemed narrower than before" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1202 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 235 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 28.62 | | std | 17.13 | | cv | 0.598 | | sampleLengths | | 0 | 60 | | 1 | 34 | | 2 | 60 | | 3 | 2 | | 4 | 19 | | 5 | 44 | | 6 | 62 | | 7 | 5 | | 8 | 35 | | 9 | 4 | | 10 | 12 | | 11 | 48 | | 12 | 16 | | 13 | 45 | | 14 | 58 | | 15 | 17 | | 16 | 3 | | 17 | 51 | | 18 | 6 | | 19 | 33 | | 20 | 44 | | 21 | 6 | | 22 | 17 | | 23 | 46 | | 24 | 35 | | 25 | 25 | | 26 | 38 | | 27 | 17 | | 28 | 22 | | 29 | 36 | | 30 | 2 | | 31 | 38 | | 32 | 35 | | 33 | 33 | | 34 | 32 | | 35 | 31 | | 36 | 24 | | 37 | 32 | | 38 | 25 | | 39 | 26 | | 40 | 21 | | 41 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 231 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 228 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 235 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1190 | | adjectiveStacks | 1 | | stackExamples | | 0 | "moving over vocal cords." |
| | adverbCount | 22 | | adverbRatio | 0.018487394957983194 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0033613445378151263 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 235 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 235 | | mean | 5.11 | | std | 2.88 | | cv | 0.563 | | sampleLengths | | 0 | 12 | | 1 | 13 | | 2 | 11 | | 3 | 9 | | 4 | 15 | | 5 | 2 | | 6 | 5 | | 7 | 13 | | 8 | 3 | | 9 | 3 | | 10 | 8 | | 11 | 5 | | 12 | 13 | | 13 | 9 | | 14 | 13 | | 15 | 10 | | 16 | 10 | | 17 | 2 | | 18 | 4 | | 19 | 5 | | 20 | 3 | | 21 | 7 | | 22 | 4 | | 23 | 11 | | 24 | 13 | | 25 | 2 | | 26 | 3 | | 27 | 3 | | 28 | 8 | | 29 | 8 | | 30 | 5 | | 31 | 8 | | 32 | 7 | | 33 | 12 | | 34 | 9 | | 35 | 5 | | 36 | 4 | | 37 | 4 | | 38 | 5 | | 39 | 2 | | 40 | 4 | | 41 | 13 | | 42 | 4 | | 43 | 4 | | 44 | 8 | | 45 | 4 | | 46 | 2 | | 47 | 10 | | 48 | 3 | | 49 | 8 |
| |
| 48.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3446808510638298 | | totalSentences | 235 | | uniqueOpeners | 81 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 192 | | matches | | 0 | "Just air moving over vocal" | | 1 | "Only the black weave of" | | 2 | "Only the outline of heads" | | 3 | "Light bent around the figure." |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 192 | | matches | | 0 | "Their bark groaned, shifting against" | | 1 | "It pressed against her eardrums," | | 2 | "She traced the edge of" | | 3 | "Her voice died instantly." | | 4 | "She walked toward the centre" | | 5 | "She rubbed the skin with" | | 6 | "Her straight shoulder-length black hair" | | 7 | "She checked her watch." | | 8 | "She held her breath." | | 9 | "She continued forward." | | 10 | "Their bells hung heavy, closed" | | 11 | "She reached out." | | 12 | "It stained her glove." | | 13 | "Her bright blue eyes scanned" | | 14 | "It stood tall." | | 15 | "She stepped back." | | 16 | "Her heel caught on a" | | 17 | "She stumbled, catching herself on" | | 18 | "It slid across the ground" | | 19 | "Her hand shook." |
| | ratio | 0.276 | |
| 19.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 169 | | totalSentences | 192 | | matches | | 0 | "The boundary line felt like" | | 1 | "Aurora crossed it, the hair" | | 2 | "Richmond Park disappeared behind the" | | 3 | "Their bark groaned, shifting against" | | 4 | "The air inside tasted of" | | 5 | "The silence here possessed weight." | | 6 | "It pressed against her eardrums," | | 7 | "The city ceased to exist" | | 8 | "Aurora lifted the Heartstone Pendant." | | 9 | "The deep crimson gemstone hung" | | 10 | "Heat radiated from the stone," | | 11 | "The glow pulsed, a rhythmic" | | 12 | "She traced the edge of" | | 13 | "The surface felt smooth, like" | | 14 | "Her voice died instantly." | | 15 | "The air swallowed the sound." | | 16 | "The words vanished into the" | | 17 | "Wildflowers surrounded her boots." | | 18 | "Petals of violet and white" | | 19 | "Dew coated the leaves, glittering" |
| | ratio | 0.88 | |
| 26.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 192 | | matches | | | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |