| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "Catrin said instead [instead]" | | 1 | "Catrin said eventually [eventually]" |
| | dialogueSentences | 57 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.083 | | effectiveRatio | 0.07 | |
| 96.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1620 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 84.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1620 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "standard" | | 2 | "unspoken" | | 3 | "stomach" | | 4 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "stomach dropped" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 50.49% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 122 | | totalWords | 1632 | | ratio | 0.075 | | matches | | 0 | "Standard" | | 1 | "Rory Carter." | | 2 | "Carter" | | 3 | "Small." | | 4 | "you all right?" | | 5 | "I've a boss who taught me to notice which side of a street a man walks on, and I've been useful to him twice in ways I'll never explain, and I'm the calmest I've ever been in my life." | | 6 | "You saw the bruise on my arm in the Woodville in March and you said, ooh, rough night, and everyone laughed, and I laughed." | | 7 | "I rang you in June and you said he adores you, you know, everyone can see it." | | 8 | "I didn't go to you when I went. I went to Eva. Do you know how long it took me to notice that I never once considered going to you?" | | 9 | "Catrin Pryce, Senior Associate." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1226 | | uniqueNames | 22 | | maxNameDensity | 1.79 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Wardour | 1 | | Street | 3 | | Rory | 22 | | Nest | 1 | | Silas | 5 | | Tuesday | 2 | | February | 1 | | Catrin | 17 | | Pryce | 2 | | Womanby | 1 | | Marlboro | 1 | | Lights | 1 | | Impulse | 1 | | Contract | 1 | | Law | 1 | | Woodville | 1 | | March | 1 | | June | 1 | | Eva | 1 | | Senior | 1 | | Old | 1 | | Compton | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Catrin" | | 3 | "Pryce" | | 4 | "Eva" |
| | places | | 0 | "Wardour" | | 1 | "Street" | | 2 | "February" | | 3 | "Womanby" | | 4 | "Woodville" | | 5 | "March" | | 6 | "June" | | 7 | "Old" | | 8 | "Compton" |
| | globalScore | 0.603 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 1632 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 24 | | std | 26 | | cv | 1.083 | | sampleLengths | | 0 | 86 | | 1 | 7 | | 2 | 4 | | 3 | 31 | | 4 | 76 | | 5 | 72 | | 6 | 28 | | 7 | 61 | | 8 | 26 | | 9 | 1 | | 10 | 51 | | 11 | 2 | | 12 | 1 | | 13 | 60 | | 14 | 12 | | 15 | 2 | | 16 | 2 | | 17 | 46 | | 18 | 23 | | 19 | 6 | | 20 | 6 | | 21 | 37 | | 22 | 11 | | 23 | 58 | | 24 | 2 | | 25 | 54 | | 26 | 7 | | 27 | 8 | | 28 | 1 | | 29 | 9 | | 30 | 17 | | 31 | 120 | | 32 | 12 | | 33 | 3 | | 34 | 4 | | 35 | 5 | | 36 | 29 | | 37 | 3 | | 38 | 38 | | 39 | 4 | | 40 | 9 | | 41 | 50 | | 42 | 6 | | 43 | 2 | | 44 | 2 | | 45 | 7 | | 46 | 69 | | 47 | 5 | | 48 | 78 | | 49 | 56 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | 0 | "was gone" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 207 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 116 | | ratio | 0.052 | | matches | | 0 | "The walls did what they always did — held their maps, their black-and-white photographs of men in overcoats standing on bridges in cities that had since changed their names." | | 1 | "Rory clocked her the way she clocked everyone now — a habit she hadn't had two years ago, one she'd acquired the way you acquire a limp." | | 2 | "For a second — a whole second, long enough for Rory to consider pretending she'd said something else — Catrin Pryce looked at her without recognition." | | 3 | "Silas looked back at her, held it a beat longer than he needed to — *you all right?* — and she gave him nothing, which he took as an answer, and poured." | | 4 | "She watched Catrin work at it — the coat, the flat above the bar, the cider at eleven on a Tuesday, the delivery bag with its lid hanging open — trying to fit it into the girl who used to correct the seminar tutor and get away with it." | | 5 | "Under the bar light her rings gave off little flat sparks — engagement, wedding, one on the other hand with a stone in it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 471 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.016985138004246284 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 14.07 | | std | 13.28 | | cv | 0.944 | | sampleLengths | | 0 | 32 | | 1 | 12 | | 2 | 42 | | 3 | 7 | | 4 | 4 | | 5 | 25 | | 6 | 6 | | 7 | 44 | | 8 | 7 | | 9 | 25 | | 10 | 22 | | 11 | 29 | | 12 | 21 | | 13 | 28 | | 14 | 27 | | 15 | 10 | | 16 | 3 | | 17 | 9 | | 18 | 12 | | 19 | 26 | | 20 | 1 | | 21 | 3 | | 22 | 26 | | 23 | 22 | | 24 | 2 | | 25 | 1 | | 26 | 30 | | 27 | 7 | | 28 | 8 | | 29 | 15 | | 30 | 10 | | 31 | 2 | | 32 | 2 | | 33 | 2 | | 34 | 46 | | 35 | 23 | | 36 | 6 | | 37 | 6 | | 38 | 5 | | 39 | 32 | | 40 | 11 | | 41 | 48 | | 42 | 10 | | 43 | 2 | | 44 | 11 | | 45 | 5 | | 46 | 10 | | 47 | 10 | | 48 | 18 | | 49 | 7 |
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| 64.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4224137931034483 | | totalSentences | 116 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 68 | | matches | | 0 | "Then the woman turned to" | | 1 | "Then it arrived, all at" | | 2 | "Then Catrin stopped laughing and" | | 3 | "Then she was out in" |
| | ratio | 0.059 | |
| 96.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 68 | | matches | | 0 | "He set a half of" | | 1 | "She peeled off the jacket," | | 2 | "Her hands smelled of ginger" | | 3 | "It was a Tuesday in" | | 4 | "She had drunk about a" | | 5 | "She smelled of something expensive" | | 6 | "She'd always smelled of Marlboro" | | 7 | "She turned the wine glass" | | 8 | "She said it lightly" | | 9 | "Her father had been chapel." | | 10 | "She used to say it" | | 11 | "She watched Catrin work at" | | 12 | "She could have said, *I've" | | 13 | "Her jaw did something." | | 14 | "*You saw the bruise on" | | 15 | "I went to Eva." | | 16 | "They sat with it." | | 17 | "She dug in the tote," | | 18 | "She stood, buttoned the camel" | | 19 | "she said, not turning round" |
| | ratio | 0.309 | |
| 70.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 68 | | matches | | 0 | "The rain had come in" | | 1 | "The green neon above the" | | 2 | "He set a half of" | | 3 | "She peeled off the jacket," | | 4 | "Her hands smelled of ginger" | | 5 | "It was a Tuesday in" | | 6 | "The walls did what they" | | 7 | "Rory had spent whole" | | 8 | "She had drunk about a" | | 9 | "Rory clocked her the way" | | 10 | "Camel coat, good wool, dark" | | 11 | "Court shoes, ruined." | | 12 | "A leather tote with a" | | 13 | "Hair pinned up with the" | | 14 | "The umbrella stopped." | | 15 | "Catrin came across the floor" | | 16 | "She smelled of something expensive" | | 17 | "She'd always smelled of Marlboro" | | 18 | "Rory tipped her head at" | | 19 | "Catrin laughed, and there it" |
| | ratio | 0.779 | |
| 73.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 68 | | matches | | | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "The walls did what they always did — held their maps, their black-and-white photographs of men in overcoats standing on bridges in cities that had since changed…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, not turning round" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |