| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "said four voices at once [once]" |
| | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0.091 | | effectiveRatio | 0.074 | |
| 96.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1431 | | totalAiIsmAdverbs | 1 | | 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) | |
| 51.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1431 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "mechanical" | | 3 | "throb" | | 4 | "footsteps" | | 5 | "echo" | | 6 | "echoes" | | 7 | "trembled" | | 8 | "stomach" | | 9 | "weight" | | 10 | "pulse" | | 11 | "lilt" | | 12 | "throbbed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1447 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1276 | | uniqueNames | 16 | | maxNameDensity | 0.86 | | worstName | "Isolde" | | maxWindowNameDensity | 3 | | worstWindowName | "Isolde" | | discoveredNames | | Tuesday | 1 | | Rory | 10 | | Richmond | 2 | | Park | 2 | | Robin | 1 | | Hood | 1 | | Gate | 1 | | February | 2 | | June | 1 | | Eva | 1 | | Casio | 1 | | Heathrow | 1 | | Isolde | 11 | | Swallowed | 1 | | Welsh | 1 | | Isolde-shaped | 1 |
| | persons | | 0 | "Rory" | | 1 | "Robin" | | 2 | "Hood" | | 3 | "Gate" | | 4 | "February" | | 5 | "June" | | 6 | "Eva" | | 7 | "Isolde" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | 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 | 1447 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 30.79 | | std | 25.19 | | cv | 0.818 | | sampleLengths | | 0 | 8 | | 1 | 91 | | 2 | 27 | | 3 | 62 | | 4 | 27 | | 5 | 55 | | 6 | 6 | | 7 | 85 | | 8 | 7 | | 9 | 8 | | 10 | 71 | | 11 | 4 | | 12 | 47 | | 13 | 11 | | 14 | 15 | | 15 | 16 | | 16 | 3 | | 17 | 54 | | 18 | 7 | | 19 | 84 | | 20 | 55 | | 21 | 10 | | 22 | 66 | | 23 | 19 | | 24 | 1 | | 25 | 38 | | 26 | 20 | | 27 | 25 | | 28 | 7 | | 29 | 52 | | 30 | 18 | | 31 | 64 | | 32 | 24 | | 33 | 5 | | 34 | 6 | | 35 | 15 | | 36 | 19 | | 37 | 30 | | 38 | 48 | | 39 | 52 | | 40 | 8 | | 41 | 43 | | 42 | 24 | | 43 | 12 | | 44 | 69 | | 45 | 14 | | 46 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 98.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 197 | | matches | | 0 | "was listening" | | 1 | "was standing" | | 2 | "was lying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 2 | | flaggedSentences | 15 | | totalSentences | 119 | | ratio | 0.126 | | matches | | 0 | "Bare branches leaned over the track, and frost silvered the mud in a crust that crunched under her boots — proper winter frost, the kind February earned." | | 1 | "Her watch — a wind-up thing, mechanical, reliable — had stopped at 11:47 and stayed there no matter how she shook it." | | 2 | "She counted to five, listening, and the park gave her nothing back — no dog fox screaming, no traffic drone bleeding in from the A316." | | 3 | "The track narrowed, curved, and the oaks rose out of the dark ahead — the standing stones, though she'd never once managed to think of them as anything but what Isolde called them: the boundary." | | 4 | "The second set stopped — a half-beat late, the way a person stops when they've been counting your steps." | | 5 | "She turned back to the oaks and her stomach dropped — the gap she'd walked through on a dozen previous visits, the wide opening between the second and third trees, had a low branch across it now." | | 6 | "Rory ducked under the branch — of course she ducked under it, the alternative was standing in a frozen park arguing with wood — and the grove took her." | | 7 | "In the city, her voice bounced off buildings and came back to her; here it just stopped, two feet from her mouth, like the grove ate sound." | | 8 | "Not water in a pipe — she'd heard water in pipes, this was wetter, deeper, a beat in the soil itself that her bones picked up before her ears did." | | 9 | "Isolde's voice — the exact pitch of it, that low Welsh lilt, the vowel she bent sideways in every second word." | | 10 | "It throbbed against her palm — and the ground throbbed back, in time, the two rhythms locked together." | | 11 | "Somewhere behind her, among the oaks, the frost crunched — one step, deliberate, and then stillness." | | 12 | "\"Aurora,\" the voice said at last, and it smiled; she heard the smile in it, heard the shape of lips curving around the syllables." | | 13 | "A figure rose out of it the way smoke rises — no hands pushing, no knees bending, just upward — and took Isolde's shape." | | 14 | "The pendant burned against her chest like a coal — and beneath her boots, the heartbeat in the earth picked up speed, matching her own now, thudding up through her shins, her knees, her teeth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1271 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02675059008654603 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 12.16 | | std | 10.16 | | cv | 0.836 | | sampleLengths | | 0 | 8 | | 1 | 42 | | 2 | 6 | | 3 | 14 | | 4 | 29 | | 5 | 15 | | 6 | 12 | | 7 | 9 | | 8 | 27 | | 9 | 4 | | 10 | 22 | | 11 | 1 | | 12 | 1 | | 13 | 4 | | 14 | 21 | | 15 | 7 | | 16 | 22 | | 17 | 5 | | 18 | 21 | | 19 | 6 | | 20 | 2 | | 21 | 11 | | 22 | 2 | | 23 | 25 | | 24 | 9 | | 25 | 8 | | 26 | 18 | | 27 | 10 | | 28 | 3 | | 29 | 4 | | 30 | 8 | | 31 | 2 | | 32 | 35 | | 33 | 26 | | 34 | 8 | | 35 | 4 | | 36 | 3 | | 37 | 6 | | 38 | 17 | | 39 | 2 | | 40 | 19 | | 41 | 5 | | 42 | 1 | | 43 | 5 | | 44 | 1 | | 45 | 1 | | 46 | 13 | | 47 | 6 | | 48 | 10 | | 49 | 3 |
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| 77.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4957983193277311 | | totalSentences | 119 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 90 | | matches | | 0 | "Just the pendant, hammering harder" | | 1 | "Then the frost stopped." | | 2 | "Somewhere behind her, a twig" | | 3 | "Somewhere behind her, among the" | | 4 | "Away from the moon." | | 5 | "Then to her left." | | 6 | "Then, much closer, to her" |
| | ratio | 0.078 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 90 | | matches | | 0 | "She spoke to the empty" | | 1 | "Her torch carved a cone" | | 2 | "Her phone had died at" | | 3 | "Her watch — a wind-up" | | 4 | "She'd wound it that morning." | | 5 | "She'd wound it in front" | | 6 | "She counted to five, listening," | | 7 | "She'd been standing here four" | | 8 | "Her footsteps sounded doubled." | | 9 | "She took three quick steps." | | 10 | "she told the dark" | | 11 | "She turned back to the" | | 12 | "She didn't remember ducking." | | 13 | "She would have remembered ducking." | | 14 | "Her voice came out flat" | | 15 | "She felt nothing on her" | | 16 | "She crouched, pressed her palm" | | 17 | "She stood up too fast" | | 18 | "She stopped herself, planted her" | | 19 | "She lifted her dead watch" |
| | ratio | 0.256 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 90 | | matches | | 0 | "The pendant had not stopped" | | 1 | "Isolde hadn't answered in two" | | 2 | "She spoke to the empty" | | 3 | "Her torch carved a cone" | | 4 | "Cow parsley standing hip-high." | | 5 | "February flowers shoulder to shoulder" | | 6 | "Her phone had died at" | | 7 | "Her watch — a wind-up" | | 8 | "She'd wound it that morning." | | 9 | "She'd wound it in front" | | 10 | "The torch beam swept mud," | | 11 | "She counted to five, listening," | | 12 | "That was the part that" | | 13 | "Richmond Park sat under the" | | 14 | "She'd been standing here four" | | 15 | "The pendant answered with a" | | 16 | "The track narrowed, curved, and" | | 17 | "Moonlight came down through their" | | 18 | "Her footsteps sounded doubled." | | 19 | "Echoes came back thinner, delayed," |
| | ratio | 0.711 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Three days of warmth bleeding through cotton and wool, three days of that dull rhythm against her sternum like a second heart with opinions of its own, and Rory…" | | 1 | "Bare branches leaned over the track, and frost silvered the mud in a crust that crunched under her boots — proper winter frost, the kind February earned." | | 2 | "And yet each sentence landed a half-second after it should, gaps where breath belonged, like a recording played through a mouth that had learned the shape of so…" | | 3 | "Rory turned for the boundary and the oaks stood where no oaks had stood, a tight unbroken ring of shoulder-shaped trunks, the gap with its low branch gone as if…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory backed up, and the flowers turned with her" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.167 | | effectiveRatio | 0.074 | |