| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1265 | | 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) | |
| 40.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1265 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echo" | | 1 | "pulsed" | | 2 | "throbbed" | | 3 | "warmth" | | 4 | "pulse" | | 5 | "silence" | | 6 | "echoed" | | 7 | "footsteps" | | 8 | "weight" | | 9 | "whisper" | | 10 | "vibrated" |
| |
| 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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1266 | | 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 | 23 | | wordCount | 1239 | | uniqueNames | 11 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Park | 2 | | Eva | 3 | | Grove | 1 | | Heartstone | 4 | | Pendant | 1 | | November | 1 | | Cardiff | 1 | | Crawling | 1 | | Silas | 1 | | Roehampton | 1 | | Rory | 7 |
| | persons | | 0 | "Eva" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Silas" | | 4 | "Rory" |
| | places | | 0 | "Park" | | 1 | "Grove" | | 2 | "Cardiff" | | 3 | "Roehampton" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a stone dropped in water" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.79 | | wordCount | 1266 | | matches | | 0 | "not parkland but a flat expanse of black stone under a sky with no stars" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 28.13 | | std | 22.02 | | cv | 0.783 | | sampleLengths | | 0 | 14 | | 1 | 26 | | 2 | 61 | | 3 | 1 | | 4 | 14 | | 5 | 40 | | 6 | 2 | | 7 | 84 | | 8 | 7 | | 9 | 69 | | 10 | 37 | | 11 | 5 | | 12 | 25 | | 13 | 5 | | 14 | 46 | | 15 | 52 | | 16 | 49 | | 17 | 3 | | 18 | 13 | | 19 | 52 | | 20 | 15 | | 21 | 26 | | 22 | 13 | | 23 | 25 | | 24 | 18 | | 25 | 79 | | 26 | 28 | | 27 | 14 | | 28 | 29 | | 29 | 2 | | 30 | 22 | | 31 | 46 | | 32 | 22 | | 33 | 42 | | 34 | 10 | | 35 | 3 | | 36 | 10 | | 37 | 61 | | 38 | 6 | | 39 | 69 | | 40 | 19 | | 41 | 33 | | 42 | 32 | | 43 | 29 | | 44 | 8 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 209 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 163 | | ratio | 0.006 | | matches | | 0 | "Ancient oak, not rock - great black trunks that twisted up into a canopy she could not see." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1239 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.024213075060532687 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004035512510088781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 7.77 | | std | 5.3 | | cv | 0.683 | | sampleLengths | | 0 | 7 | | 1 | 4 | | 2 | 3 | | 3 | 13 | | 4 | 5 | | 5 | 8 | | 6 | 6 | | 7 | 15 | | 8 | 25 | | 9 | 4 | | 10 | 11 | | 11 | 1 | | 12 | 8 | | 13 | 2 | | 14 | 4 | | 15 | 11 | | 16 | 8 | | 17 | 7 | | 18 | 14 | | 19 | 2 | | 20 | 6 | | 21 | 12 | | 22 | 19 | | 23 | 10 | | 24 | 12 | | 25 | 17 | | 26 | 2 | | 27 | 6 | | 28 | 7 | | 29 | 5 | | 30 | 18 | | 31 | 12 | | 32 | 6 | | 33 | 15 | | 34 | 13 | | 35 | 5 | | 36 | 4 | | 37 | 25 | | 38 | 3 | | 39 | 5 | | 40 | 2 | | 41 | 11 | | 42 | 7 | | 43 | 5 | | 44 | 5 | | 45 | 3 | | 46 | 6 | | 47 | 11 | | 48 | 3 | | 49 | 11 |
| |
| 44.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.32515337423312884 | | totalSentences | 163 | | uniqueOpeners | 53 | |
| 23.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 142 | | matches | | 0 | "Too fast for vine, too" |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 142 | | matches | | 0 | "She landed on damp earth" | | 1 | "Her breath made thin clouds" | | 2 | "She had not wanted to" | | 3 | "Her voice hit the trees" | | 4 | "Her straight black hair caught" | | 5 | "She pushed it back behind" | | 6 | "Her phone torch threw a" | | 7 | "It had not pulsed since" | | 8 | "They formed a rough circle" | | 9 | "Their scent hit her, sweet" | | 10 | "Her left wrist throbbed." | | 11 | "She scratched at the small" | | 12 | "She stepped over the line." | | 13 | "Her torch dimmed." | | 14 | "She slapped the side of" | | 15 | "She pulled the chain out." | | 16 | "It beat in time with" | | 17 | "She took a step back." | | 18 | "Her throat dried." | | 19 | "She turned in a slow" |
| | ratio | 0.289 | |
| 48.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 142 | | matches | | 0 | "Richmond Park after midnight held" | | 1 | "The gate stood locked." | | 2 | "Rory vaulted it." | | 3 | "She landed on damp earth" | | 4 | "Her breath made thin clouds" | | 5 | "She had not wanted to" | | 6 | "The text from Eva still" | | 7 | "Eva never sent photos." | | 8 | "Eva never went near the" | | 9 | "Her voice hit the trees" | | 10 | "The park swallowed sound." | | 11 | "Rory pulled the collar of" | | 12 | "Her straight black hair caught" | | 13 | "She pushed it back behind" | | 14 | "The path gave way to" | | 15 | "Her phone torch threw a" | | 16 | "Richmond Park sprawled around her," | | 17 | "The Heartstone Pendant rested against" | | 18 | "The silver chain stuck to" | | 19 | "The stone itself, thumbnail-sized and" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 142 | | matches | (empty) | | ratio | 0 | |
| 99.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 3 | | matches | | 0 | "The stone itself, thumbnail-sized and deep crimson, held a faint inner glow that bled through the fabric." | | 1 | "It beat in time with something that was not her heart." | | 2 | "A faint line of mist rose from the wildflowers there, coiling up, taking a shape that was almost shoulders, almost a head, before it thinned." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |