| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Nyx sounded almost [almost]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.133 | | effectiveRatio | 0.118 | |
| 88.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1286 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | 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) | |
| 65.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1286 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "unsettled" | | 2 | "pulse" | | 3 | "weight" | | 4 | "velvet" | | 5 | "perfect" | | 6 | "whisper" |
| |
| 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 | 1 | | narrationSentences | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1298 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1094 | | uniqueNames | 8 | | maxNameDensity | 0.82 | | worstName | "Nyx" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Nyx" | | discoveredNames | | November | 1 | | Richmond | 1 | | Park | 1 | | Nyx | 9 | | London | 1 | | Rory | 6 | | Heartstone | 3 | | July | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Rory" | | 2 | "Heartstone" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like the first day of a summer she" | | 1 | "looked like oaks" | | 2 | "something like fish; they had no eyes she co" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.77 | | wordCount | 1298 | | matches | | 0 | "not away from her, but upward, breaking the surface in a spray of silver" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.5 | | std | 29.9 | | cv | 1.014 | | sampleLengths | | 0 | 7 | | 1 | 70 | | 2 | 3 | | 3 | 55 | | 4 | 37 | | 5 | 17 | | 6 | 63 | | 7 | 106 | | 8 | 6 | | 9 | 23 | | 10 | 63 | | 11 | 3 | | 12 | 75 | | 13 | 5 | | 14 | 6 | | 15 | 46 | | 16 | 29 | | 17 | 11 | | 18 | 108 | | 19 | 3 | | 20 | 1 | | 21 | 9 | | 22 | 24 | | 23 | 92 | | 24 | 6 | | 25 | 68 | | 26 | 10 | | 27 | 1 | | 28 | 3 | | 29 | 7 | | 30 | 36 | | 31 | 17 | | 32 | 6 | | 33 | 58 | | 34 | 21 | | 35 | 76 | | 36 | 15 | | 37 | 1 | | 38 | 26 | | 39 | 11 | | 40 | 16 | | 41 | 16 | | 42 | 10 | | 43 | 32 |
| |
| 91.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 77 | | matches | | 0 | "been amputated" | | 1 | "been pressed" | | 2 | "being seen" |
| |
| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 172 | | matches | | 0 | "was walking" | | 1 | "were walking" | | 2 | "was coming" | | 3 | "was doing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 95 | | ratio | 0.095 | | matches | | 0 | "Or rather, the darkness beside her stopped moving — it was hard to tell with them, in this light, whether they were walking or simply arriving at successive places." | | 1 | "Not silence exactly — the grove had its own sounds, an unhurried chorus of insects and shifting leaves and something that might have been water — but the particular grey hum of London had been amputated." | | 2 | "They were stones — grey, lichen-scabbed, taller than a man — and the oaks had grown around them the way a scar grows around glass, bark folded and healed over stone until the two were one thing." | | 3 | "Not the warm pulse it gave near a rift — nothing so obvious — but a change in weight, as though the crimson stone had grown briefly heavier and then apologised for it." | | 4 | "There was brightness — golden, thick as syrup, the specific quality of six o'clock on a July evening — but she checked the sky and the sky was a pale nacreous white with no disc in it at all, and the shadows on the ground pointed in four directions at once." | | 5 | "Small pale fish moved in it, or something like fish; they had no eyes she could see and they swam in perfect synchrony, all turning at once, a single organism of forty parts." | | 6 | "When her shadow fell across the water they scattered — not away from her, but upward, breaking the surface in a spray of silver that hung in the air a half-second longer than water should before falling back." | | 7 | "The mist came up in the next hollow, and with it the sound of a bell — one note, low, close enough that she turned expecting a church tower and found only white air and the suggestion of standing stones." | | 8 | "Two sets of hers, side by side, both facing the direction she'd come from, both fresh — and she had definitely not walked this way twice." |
| |
| 89.56% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 843 | | adjectiveStacks | 1 | | stackExamples | | 0 | "clear over white stones," |
| | adverbCount | 38 | | adverbRatio | 0.045077105575326216 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01542111506524318 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 13.66 | | std | 11.58 | | cv | 0.848 | | sampleLengths | | 0 | 7 | | 1 | 38 | | 2 | 32 | | 3 | 3 | | 4 | 2 | | 5 | 29 | | 6 | 24 | | 7 | 6 | | 8 | 20 | | 9 | 4 | | 10 | 7 | | 11 | 14 | | 12 | 3 | | 13 | 20 | | 14 | 36 | | 15 | 1 | | 16 | 4 | | 17 | 2 | | 18 | 4 | | 19 | 25 | | 20 | 5 | | 21 | 10 | | 22 | 37 | | 23 | 13 | | 24 | 12 | | 25 | 6 | | 26 | 13 | | 27 | 10 | | 28 | 6 | | 29 | 33 | | 30 | 10 | | 31 | 2 | | 32 | 12 | | 33 | 3 | | 34 | 38 | | 35 | 4 | | 36 | 5 | | 37 | 28 | | 38 | 5 | | 39 | 6 | | 40 | 36 | | 41 | 10 | | 42 | 19 | | 43 | 10 | | 44 | 8 | | 45 | 3 | | 46 | 4 | | 47 | 20 | | 48 | 4 | | 49 | 51 |
| |
| 77.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.49473684210526314 | | totalSentences | 95 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 63 | | matches | | 0 | "Further in, she found the" | | 1 | "Then the mist thinned, and" |
| | ratio | 0.032 | |
| 93.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 63 | | matches | | 0 | "Their form had gone thin" | | 1 | "Their voice came from somewhere" | | 2 | "It always did that." | | 3 | "She'd stopped flinching about a" | | 4 | "She turned in a slow" | | 5 | "They gestured, and Rory followed" | | 6 | "They still looked like oaks." | | 7 | "They were stones — grey," | | 8 | "She pressed her palm flat" | | 9 | "They went deeper." | | 10 | "She tested this twice." | | 11 | "She watched the light." | | 12 | "Her own shadow lay east." | | 13 | "They walked on." | | 14 | "It stood alone in a" | | 15 | "She took a step back" | | 16 | "Her pulse was doing something" | | 17 | "She made herself breathe, made" | | 18 | "She kept walking, and she" | | 19 | "she said quietly" |
| | ratio | 0.317 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 63 | | matches | | 0 | "The wildflowers were the first" | | 1 | "Rory noticed them before she" | | 2 | "Their form had gone thin" | | 3 | "Their voice came from somewhere" | | 4 | "It always did that." | | 5 | "She'd stopped flinching about a" | | 6 | "She turned in a slow" | | 7 | "They gestured, and Rory followed" | | 8 | "They still looked like oaks." | | 9 | "They were stones — grey," | | 10 | "Every time she looked directly" | | 11 | "Nyx sounded almost respectful, which" | | 12 | "The Heartstone shifted against her" | | 13 | "She pressed her palm flat" | | 14 | "The pendant had never explained" | | 15 | "They went deeper." | | 16 | "The grass was the wrong" | | 17 | "She tested this twice." | | 18 | "Both times the path obliged." | | 19 | "The third time she deliberately" |
| | ratio | 0.714 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Now she was walking through" |
| | ratio | 0.016 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "Not silence exactly — the grove had its own sounds, an unhurried chorus of insects and shifting leaves and something that might have been water — but the partic…" | | 1 | "Not the warm pulse it gave near a rift — nothing so obvious — but a change in weight, as though the crimson stone had grown briefly heavier and then apologised …" | | 2 | "When her shadow fell across the water they scattered — not away from her, but upward, breaking the surface in a spray of silver that hung in the air a half-seco…" | | 3 | "Under the tree the grass had been pressed flat in a wide ring, as though something enormous slept there regularly." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Rory's mouth had (have)" |
| | dialogueSentences | 34 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.125 | | effectiveRatio | 0.059 | |