| 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 | |
| 78.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1408 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "very" | | 3 | "utterly" |
| |
| 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) | |
| 75.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1408 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "weight" | | 3 | "echo" | | 4 | "could feel" |
| |
| 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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1418 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1385 | | uniqueNames | 8 | | maxNameDensity | 0.51 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 3 | | Park | 2 | | Eva | 1 | | Sunday | 1 | | November | 1 | | Heathrow | 1 | | Evan | 2 | | Rory | 7 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.705 | | wordCount | 1418 | | matches | | 0 | "not loud, but insistent" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 36.36 | | std | 25.84 | | cv | 0.711 | | sampleLengths | | 0 | 68 | | 1 | 51 | | 2 | 12 | | 3 | 51 | | 4 | 89 | | 5 | 22 | | 6 | 40 | | 7 | 69 | | 8 | 64 | | 9 | 21 | | 10 | 1 | | 11 | 37 | | 12 | 43 | | 13 | 3 | | 14 | 12 | | 15 | 5 | | 16 | 37 | | 17 | 110 | | 18 | 10 | | 19 | 25 | | 20 | 68 | | 21 | 3 | | 22 | 12 | | 23 | 21 | | 24 | 41 | | 25 | 50 | | 26 | 17 | | 27 | 4 | | 28 | 56 | | 29 | 40 | | 30 | 11 | | 31 | 67 | | 32 | 18 | | 33 | 43 | | 34 | 20 | | 35 | 32 | | 36 | 51 | | 37 | 24 | | 38 | 70 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 212 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 111 | | ratio | 0.081 | | matches | | 0 | "Every few hundred metres it had been giving that little pulse, the one she'd learned to read the way you read a knock at a door — not loud, but insistent, and always from the same direction." | | 1 | "Not a noise exactly — the absence of one." | | 2 | "That was a lesson Evan had taught her in a different way — never give them the satisfaction of your fear." | | 3 | "When she straightened, she looked for the gap in the trunks — the gap she'd come through — and saw that the path behind her had closed in." | | 4 | "She caught it in the corner of her left eye — a tall shape, the colour of bark, standing between two of the trunks where there had been nothing a moment ago." | | 5 | "But the wildflowers at her feet began, very slowly, to turn — every bluebell and foxglove craning on its stem, all of them leaning toward the place she couldn't look at directly, like a congregation bowing." | | 6 | "Not footprints — foot-shaped hollows, as if someone of enormous weight had stood there for a very long time and let the ground remember." | | 7 | "She scrambled up, wrist bright with pain — she knew the scar there by touch, the little crescent, and she pressed her thumb against it the way she had since childhood, an old habit, a small anchoring." | | 8 | "And in the silence someone drew a slow breath — the first breath, the way a person breathes when they wake from a long sleep and find the room they fell asleep in has changed around them." |
| |
| 97.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1377 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 59 | | adverbRatio | 0.042846768336964415 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010167029774872912 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 12.77 | | std | 11.71 | | cv | 0.917 | | sampleLengths | | 0 | 32 | | 1 | 20 | | 2 | 6 | | 3 | 10 | | 4 | 14 | | 5 | 37 | | 6 | 12 | | 7 | 2 | | 8 | 13 | | 9 | 7 | | 10 | 12 | | 11 | 17 | | 12 | 6 | | 13 | 5 | | 14 | 34 | | 15 | 44 | | 16 | 9 | | 17 | 1 | | 18 | 1 | | 19 | 9 | | 20 | 2 | | 21 | 5 | | 22 | 4 | | 23 | 8 | | 24 | 23 | | 25 | 10 | | 26 | 27 | | 27 | 20 | | 28 | 12 | | 29 | 8 | | 30 | 9 | | 31 | 19 | | 32 | 28 | | 33 | 5 | | 34 | 1 | | 35 | 1 | | 36 | 11 | | 37 | 3 | | 38 | 1 | | 39 | 4 | | 40 | 9 | | 41 | 1 | | 42 | 16 | | 43 | 7 | | 44 | 5 | | 45 | 21 | | 46 | 17 | | 47 | 3 | | 48 | 8 | | 49 | 2 |
| |
| 46.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.34234234234234234 | | totalSentences | 111 | | uniqueOpeners | 38 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 92 | | matches | | 0 | "Then she passed between the" | | 1 | "Just the trunk, just the" |
| | ratio | 0.022 | |
| 59.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 92 | | matches | | 0 | "She came in through the" | | 1 | "She had never come at" | | 2 | "She had never come looking" | | 3 | "She lifted the pendant in" | | 4 | "She held it there, waiting" | | 5 | "She'd grown up on maps." | | 6 | "She'd run the perimeter of" | | 7 | "She'd left the flat at" | | 8 | "She put it away and" | | 9 | "She had come because the" | | 10 | "Her voice did not carry" | | 11 | "It dropped flat at her" | | 12 | "Her own breath." | | 13 | "She counted to sixty." | | 14 | "She got to forty-one and" | | 15 | "She didn't spin toward it." | | 16 | "She kept her chin level," | | 17 | "She told herself it was" | | 18 | "It was slow and it" | | 19 | "She found a stone at" |
| | ratio | 0.402 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 92 | | matches | | 0 | "She came in through the" | | 1 | "Aurora had been to Richmond" | | 2 | "She had never come at" | | 3 | "She had never come looking" | | 4 | "The pendant sat against her" | | 5 | "Every few hundred metres it" | | 6 | "The silence was so complete" | | 7 | "She lifted the pendant in" | | 8 | "The crimson stone looked flat," | | 9 | "She held it there, waiting" | | 10 | "The grove shouldn't have been" | | 11 | "She'd grown up on maps." | | 12 | "She'd run the perimeter of" | | 13 | "Wildflowers pushed up through the" | | 14 | "Cow parsley so white it" | | 15 | "Rory took her phone out." | | 16 | "The screen said 02:14." | | 17 | "She'd left the flat at" | | 18 | "She put it away and" | | 19 | "She had come because the" |
| | ratio | 0.826 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "The six standing stones, their shadows pointing in six different directions." | | 1 | "Not footprints — foot-shaped hollows, as if someone of enormous weight had stood there for a very long time and let the ground remember." | | 2 | "And the listening, the enormous listening that had filled the grove since the first wrong sound, had narrowed into a single point of attention, fixed on her, th…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |