| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "she tried again [again]" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 95.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1036 | | 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) | |
| 56.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1036 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "grave" | | 1 | "pulse" | | 2 | "echoes" | | 3 | "warmth" | | 4 | "silence" | | 5 | "footsteps" | | 6 | "weight" |
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| 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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1040 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1024 | | uniqueNames | 10 | | maxNameDensity | 0.49 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 5 | | Kingston | 1 | | Park | 1 | | Ham | 1 | | Gate | 1 | | Shouting | 1 | | Isolde | 1 | | Cardiff | 1 | | Evan | 1 | | Hel-touched | 1 |
| | persons | | | places | | 0 | "Kingston" | | 1 | "Park" | | 2 | "Shouting" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1040 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 40 | | std | 27.23 | | cv | 0.681 | | sampleLengths | | 0 | 24 | | 1 | 86 | | 2 | 66 | | 3 | 59 | | 4 | 22 | | 5 | 11 | | 6 | 47 | | 7 | 22 | | 8 | 19 | | 9 | 7 | | 10 | 43 | | 11 | 11 | | 12 | 53 | | 13 | 60 | | 14 | 4 | | 15 | 56 | | 16 | 21 | | 17 | 36 | | 18 | 48 | | 19 | 69 | | 20 | 15 | | 21 | 49 | | 22 | 71 | | 23 | 4 | | 24 | 113 | | 25 | 24 |
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| 88.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 61 | | matches | | 0 | "was crouched" | | 1 | "was meant" | | 2 | "gets drawn" |
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| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 172 | | matches | | 0 | "wasn't imagining" | | 1 | "wasn't looking" | | 2 | "was choosing" | | 3 | "was standing" |
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| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 63 | | ratio | 0.048 | | matches | | 0 | "Not the flowers themselves — they still nodded pale and stupid in a breeze she couldn't feel on her own skin — but the colour of them, bleached out under a moon that hung too close and too yellow, like something ripening." | | 1 | "Not violently — almost politely, the fronds bending aside the way a curtain gets drawn back by somebody who wants to be let in properly, not force their way through." | | 2 | "An empty space that had made itself empty on purpose, that was choosing not to show her yet — she had no idea what to do with that at all." |
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| 80.15% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1021 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 64 | | adverbRatio | 0.06268364348677767 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.015670910871694418 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 16.51 | | std | 14.48 | | cv | 0.877 | | sampleLengths | | 0 | 24 | | 1 | 37 | | 2 | 16 | | 3 | 12 | | 4 | 21 | | 5 | 11 | | 6 | 44 | | 7 | 6 | | 8 | 2 | | 9 | 3 | | 10 | 17 | | 11 | 42 | | 12 | 11 | | 13 | 11 | | 14 | 2 | | 15 | 9 | | 16 | 25 | | 17 | 22 | | 18 | 22 | | 19 | 5 | | 20 | 4 | | 21 | 10 | | 22 | 7 | | 23 | 17 | | 24 | 2 | | 25 | 24 | | 26 | 11 | | 27 | 5 | | 28 | 48 | | 29 | 4 | | 30 | 4 | | 31 | 4 | | 32 | 3 | | 33 | 29 | | 34 | 16 | | 35 | 4 | | 36 | 44 | | 37 | 5 | | 38 | 7 | | 39 | 19 | | 40 | 2 | | 41 | 8 | | 42 | 28 | | 43 | 2 | | 44 | 3 | | 45 | 43 | | 46 | 10 | | 47 | 2 | | 48 | 2 | | 49 | 29 |
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| 73.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.47619047619047616 | | totalSentences | 63 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "Just bracken, just the black" | | 1 | "Somewhere at the level of" |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 54 | | matches | | 0 | "She'd come because the pendant" | | 1 | "She'd just learned, over months," | | 2 | "She'd left the car on" | | 3 | "she said, low, because you" | | 4 | "She hadn't really expected one" | | 5 | "She went to the centre" | | 6 | "She made herself breathe." | | 7 | "She only caught it out" | | 8 | "She was sure she'd seen" | | 9 | "she said, to nobody, to" | | 10 | "Her hand found the pendant" | | 11 | "she tried again, and her" | | 12 | "She took one careful step" |
| | ratio | 0.241 | |
| 80.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 54 | | matches | | 0 | "The oak stones marked the" | | 1 | "She'd come because the pendant" | | 2 | "Nobody had ever told her" | | 3 | "She'd just learned, over months," | | 4 | "Richmond Park at eleven at" | | 5 | "She'd left the car on" | | 6 | "That should have told her" | | 7 | "Deer always startled." | | 8 | "The grove sat in its" | | 9 | "she said, low, because you" | | 10 | "Shouting brought echoes, and echoes" | | 11 | "She hadn't really expected one" | | 12 | "The standing stones let her" | | 13 | "She went to the centre" | | 14 | "The pendant kept its warmth." | | 15 | "A twig snapped off to" | | 16 | "Rory turned fast, the old" | | 17 | "The bracken didn't answer either." | | 18 | "She made herself breathe." | | 19 | "The grove played tricks." |
| | ratio | 0.759 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "Not the flowers themselves — they still nodded pale and stupid in a breeze she couldn't feel on her own skin — but the colour of them, bleached out under a moon…" | | 1 | "Every one of them, dead still, as if the breeze she couldn't feel had simply switched off, and in the new silence she heard breathing that wasn't hers." | | 2 | "Somewhere at the level of a chest, low to the ground, slow and even and entirely unhurried, the kind of breathing that belonged to something with no reason to r…" | | 3 | "The grove had gone quiet in the specific way a held breath is quiet, and she was standing in the middle of it with her hand pressed to a pendant that refused to…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |