| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1108 | | totalAiIsmAdverbs | 3 | | 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 | 1108 | | totalAiIsms | 26 | | found | | | highlights | | 0 | "silence" | | 1 | "chill" | | 2 | "gloom" | | 3 | "pulsed" | | 4 | "oppressive" | | 5 | "spectral" | | 6 | "whisper" | | 7 | "warmth" | | 8 | "throb" | | 9 | "predator" | | 10 | "stomach" | | 11 | "perfect" | | 12 | "throbbed" | | 13 | "comforting" | | 14 | "flickered" | | 15 | "weight" | | 16 | "pulse" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1107 | | ratio | 0.004 | | matches | | 0 | "‘Look.’" | | 1 | "Nothing. Just grass." |
| |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | 0 | "Just a trick of body heat, she told herself, ignoring the way it pulsed in time with her heart." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1065 | | uniqueNames | 5 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Grove | 2 | | Eva | 4 | | London | 1 | | Silence | 1 | | Rory | 6 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 44.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like walking on a plush carpet" | | 1 | "felt like a physical weight" | | 2 | "whisper that seemed to come from everywhere and nowhere at once, a sound like dead leaves skittering on stone" |
| |
| 19.33% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.807 | | wordCount | 1107 | | matches | | 0 | "Not a figure, not a shape she could name, but a distortion in the air, like heat haze on a summer road, at" | | 1 | "not a shape she could name, but a distortion in the air, like heat haze on a summer road, at" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 86.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 38.17 | | std | 17.32 | | cv | 0.454 | | sampleLengths | | 0 | 58 | | 1 | 36 | | 2 | 63 | | 3 | 40 | | 4 | 16 | | 5 | 51 | | 6 | 48 | | 7 | 39 | | 8 | 10 | | 9 | 50 | | 10 | 41 | | 11 | 8 | | 12 | 37 | | 13 | 58 | | 14 | 22 | | 15 | 52 | | 16 | 19 | | 17 | 8 | | 18 | 44 | | 19 | 52 | | 20 | 27 | | 21 | 38 | | 22 | 39 | | 23 | 66 | | 24 | 28 | | 25 | 38 | | 26 | 72 | | 27 | 15 | | 28 | 32 |
| |
| 87.89% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 101 | | matches | | 0 | "was gone" | | 1 | "being drawn" | | 2 | "been sucked" | | 3 | "was gone" | | 4 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 105 | | ratio | 0.01 | | matches | | 0 | "The sweet, cloying smell grew stronger, now mixed with the wet earth and something else—the same metallic scent from before, but fresher." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 117 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.02564102564102564 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 10.54 | | std | 7.18 | | cv | 0.681 | | sampleLengths | | 0 | 6 | | 1 | 22 | | 2 | 30 | | 3 | 4 | | 4 | 9 | | 5 | 23 | | 6 | 21 | | 7 | 20 | | 8 | 13 | | 9 | 9 | | 10 | 5 | | 11 | 16 | | 12 | 19 | | 13 | 13 | | 14 | 3 | | 15 | 2 | | 16 | 17 | | 17 | 5 | | 18 | 2 | | 19 | 4 | | 20 | 10 | | 21 | 11 | | 22 | 7 | | 23 | 8 | | 24 | 3 | | 25 | 8 | | 26 | 19 | | 27 | 1 | | 28 | 2 | | 29 | 7 | | 30 | 5 | | 31 | 15 | | 32 | 12 | | 33 | 4 | | 34 | 6 | | 35 | 4 | | 36 | 6 | | 37 | 9 | | 38 | 3 | | 39 | 16 | | 40 | 12 | | 41 | 6 | | 42 | 8 | | 43 | 14 | | 44 | 13 | | 45 | 8 | | 46 | 13 | | 47 | 24 | | 48 | 18 | | 49 | 13 |
| |
| 40.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2571428571428571 | | totalSentences | 105 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 91 | | matches | | 0 | "Just a trick of body" | | 1 | "Just a soft, wet sound," | | 2 | "Then the pendant seared her" | | 3 | "Then, from the darkness directly" |
| | ratio | 0.044 | |
| 39.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 91 | | matches | | 0 | "She’d come for Eva." | | 1 | "It was a pocket of" | | 2 | "She pulled her jacket tighter." | | 3 | "Her voice came out thin" | | 4 | "She’d been in London long" | | 5 | "She took a few careful" | | 6 | "It didn't crunch." | | 7 | "It felt like walking on" | | 8 | "She aimed her phone’s flashlight" | | 9 | "She snapped the light up." | | 10 | "It was a silhouette of" | | 11 | "She kept the light on" | | 12 | "It wasn't Eva." | | 13 | "It was more like a" | | 14 | "It pulsed once, a distinct" | | 15 | "Her free hand flew to" | | 16 | "she breathed, the word a" | | 17 | "She tried to sound angry," | | 18 | "She pushed forward, her goal" | | 19 | "She kept her flashlight pointed" |
| | ratio | 0.451 | |
| 25.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 91 | | matches | | 0 | "The Grove didn't want her" | | 1 | "Rory felt it the moment" | | 2 | "The air was thick with" | | 3 | "She’d come for Eva." | | 4 | "Eva’s last text had been" | | 5 | "The moon, a pale, sickly" | | 6 | "The wildflowers, bluebells and foxgloves," | | 7 | "A low mist clung to" | | 8 | "It was a pocket of" | | 9 | "She pulled her jacket tighter." | | 10 | "The pendant, the strange crimson" | | 11 | "Her voice came out thin" | | 12 | "Rory froze, her breath catching." | | 13 | "The sound didn't repeat." | | 14 | "Crickets this late in the" | | 15 | "She’d been in London long" | | 16 | "She took a few careful" | | 17 | "The grass underfoot was soft," | | 18 | "It didn't crunch." | | 19 | "It felt like walking on" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "The air was thick with the scent of crushed grass and something else, a metallic tang that reminded her of the pennies her grandmother used to press into her pa…" | | 1 | "It pulsed once, a distinct throb of heat that made her gasp and flinch." | | 2 | "And then a voice, impossibly close, a dry whisper that seemed to come from everywhere and nowhere at once, a sound like dead leaves skittering on stone." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she breathed, the word a puff of mist in the cold air" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she called out (call out)" |
| | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |