| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | 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) | |
| 79.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "searing" | | 1 | "pulse" | | 2 | "footsteps" | | 3 | "echoing" |
| |
| 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 | 51 | | matches | (empty) | |
| 86.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1203 | | 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 | 34 | | wordCount | 1134 | | uniqueNames | 11 | | maxNameDensity | 0.88 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 5 | | Rory | 10 | | Eva | 4 | | Evan | 7 | | Cardiff | 2 | | Richmond | 1 | | Yu-Fei | 1 | | Golden | 1 | | Empress | 1 | | Footsteps | 1 | | Laila | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Footsteps" | | 5 | "Laila" |
| | places | | 0 | "Cardiff" | | 1 | "Richmond" | | 2 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1203 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 100.25 | | std | 66.2 | | cv | 0.66 | | sampleLengths | | 0 | 77 | | 1 | 185 | | 2 | 106 | | 3 | 205 | | 4 | 45 | | 5 | 70 | | 6 | 46 | | 7 | 179 | | 8 | 35 | | 9 | 76 | | 10 | 1 | | 11 | 178 |
| |
| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 95.29% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 191 | | matches | | 0 | "was hiding" | | 1 | "were moving" | | 2 | "was wearing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 526 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.015209125475285171 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0038022813688212928 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 22.28 | | std | 14.28 | | cv | 0.641 | | sampleLengths | | 0 | 24 | | 1 | 53 | | 2 | 10 | | 3 | 7 | | 4 | 35 | | 5 | 32 | | 6 | 22 | | 7 | 37 | | 8 | 27 | | 9 | 15 | | 10 | 5 | | 11 | 2 | | 12 | 9 | | 13 | 24 | | 14 | 13 | | 15 | 20 | | 16 | 8 | | 17 | 4 | | 18 | 21 | | 19 | 35 | | 20 | 6 | | 21 | 10 | | 22 | 14 | | 23 | 36 | | 24 | 18 | | 25 | 47 | | 26 | 39 | | 27 | 34 | | 28 | 11 | | 29 | 4 | | 30 | 22 | | 31 | 23 | | 32 | 21 | | 33 | 18 | | 34 | 24 | | 35 | 4 | | 36 | 30 | | 37 | 34 | | 38 | 36 | | 39 | 49 | | 40 | 30 | | 41 | 26 | | 42 | 9 | | 43 | 4 | | 44 | 11 | | 45 | 2 | | 46 | 32 | | 47 | 27 | | 48 | 1 | | 49 | 10 |
| |
| 50.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3333333333333333 | | totalSentences | 54 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 28.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 48 | | matches | | 0 | "She had crawled under the" | | 1 | "She shone her phone’s torch" | | 2 | "She checked her lock screen." | | 3 | "It had read 3:17 when" | | 4 | "She’d fumbled with her laces," | | 5 | "Her nan had said an" | | 6 | "She’d always thought that was" | | 7 | "She heard the faint clink" | | 8 | "It was ten feet behind" | | 9 | "She spun, torch swinging, and" | | 10 | "She had found the pendant" | | 11 | "She had laughed it off," | | 12 | "She slipped her hand into" | | 13 | "She fumbled to turn her" | | 14 | "She called, her voice cracking," | | 15 | "It was Eva’s voice, soft," | | 16 | "She tripped over a root" | | 17 | "It glowed so bright it" | | 18 | "She pushed herself up on" | | 19 | "He’d called her Laila then," |
| | ratio | 0.479 | |
| 12.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 48 | | matches | | 0 | "The Heartstone burned through the" | | 1 | "She had crawled under the" | | 2 | "Eva’s phone went straight to" | | 3 | "The grove had never felt" | | 4 | "The stems under her boots" | | 5 | "She shone her phone’s torch" | | 6 | "The stones that had lined" | | 7 | "She checked her lock screen." | | 8 | "It had read 3:17 when" | | 9 | "She’d fumbled with her laces," | | 10 | "The time in the grove" | | 11 | "Her nan had said an" | | 12 | "Rory’s throat went dry." | | 13 | "She’d always thought that was" | | 14 | "She heard the faint clink" | | 15 | "The sound was not far" | | 16 | "It was ten feet behind" | | 17 | "She spun, torch swinging, and" | | 18 | "The Heartstone’s burn intensified, a" | | 19 | "She had found the pendant" |
| | ratio | 0.896 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 48 | | matches | | 0 | "Now the only smell that" | | 1 | "Now when she glanced over" | | 2 | "If they did not, time" |
| | ratio | 0.063 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 12 | | matches | | 0 | "The Heartstone burned through the thin cotton of Rory’s hoodie pocket, searing a half-moon mark that matched the crescent scar on her left wrist." | | 1 | "The stones that had lined the entrance, weathered and carved with tiny knotwork her nan had called fae signatures, had been there when she’d ducked under them." | | 2 | "The Heartstone’s burn intensified, a steady thud that matched the beat of her own heart, the same pulse the small crimson gem had given off the night Evan had t…" | | 3 | "She slipped her hand into her pocket to wrap her fingers around the small stone, the thumbnail-sized gem that glowed with a faint inner light even in the dark, …" | | 4 | "Rory ran, her lungs burning, the torch swinging wildly as she dodged low hanging branches that snagged her hair, that pulled at her hoodie like hands trying to …" | | 5 | "She tripped over a root that jutted up from the ground, catching her ankle, and she fell hard, her palm scraping open on a sharp shard of stone that stuck up th…" | | 6 | "It glowed so bright it turned the whole clearing red, casting long twisted shadows of the oaks that ringed the space, and Rory saw then that all the trees were …" | | 7 | "The standing stones she had crossed to get in had reappeared, lined up behind her, blocking the only way out, their carvings glowing the same deep crimson as th…" | | 8 | "The voice that spoke was Evan’s, low, rough, the same tone he’d used when he’d slammed her into the wall of their Cardiff flat for laughing at a joke he’d not l…" | | 9 | "She spun, her hand closing around the shard of stone she’d scraped her palm on, lifting it like a weapon, and her torch beam landed on him." | | 10 | "The Heartstone blazed brighter, the pulsing so loud she could hear it over the creak of the trees, and the ground under the gem split open, black smoke billowin…" | | 11 | "His face began to melt, the skin stretching, his jaw unhinging to reveal row after row of needle sharp teeth, and the thing that had been Evan laughed, the soun…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |