| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow said quietly [quietly]" |
| | dialogueSentences | 60 | | tagDensity | 0.283 | | leniency | 0.567 | | rawRatio | 0.059 | | effectiveRatio | 0.033 | |
| 94.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1685 | | totalAiIsmAdverbs | 2 | | 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) | |
| 61.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1685 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "footfall" | | 1 | "efficient" | | 2 | "perfect" | | 3 | "echoing" | | 4 | "standard" | | 5 | "etched" | | 6 | "echoed" | | 7 | "could feel" | | 8 | "flickered" |
| |
| 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 | 88 | | matches | (empty) | |
| 77.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1691 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1217 | | uniqueNames | 8 | | maxNameDensity | 1.81 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 22 | | Quinn | 1 | | Tube | 2 | | November | 2 | | Riya | 1 | | Kapoor | 11 | | Morris | 2 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Riya" | | 3 | "Kapoor" | | 4 | "Morris" |
| | places | | | globalScore | 0.596 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "vibration that seemed to bypass her ears entirely and resonate somewhere in the bone of her skull" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.591 | | wordCount | 1691 | | matches | | 0 | "not to take a picture of the body or the evidence, but to photograph the sigils on the compass" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 24.87 | | std | 21.96 | | cv | 0.883 | | sampleLengths | | 0 | 43 | | 1 | 16 | | 2 | 46 | | 3 | 59 | | 4 | 3 | | 5 | 54 | | 6 | 14 | | 7 | 39 | | 8 | 9 | | 9 | 69 | | 10 | 34 | | 11 | 24 | | 12 | 45 | | 13 | 4 | | 14 | 3 | | 15 | 3 | | 16 | 9 | | 17 | 51 | | 18 | 24 | | 19 | 49 | | 20 | 4 | | 21 | 3 | | 22 | 50 | | 23 | 5 | | 24 | 8 | | 25 | 53 | | 26 | 3 | | 27 | 1 | | 28 | 44 | | 29 | 20 | | 30 | 12 | | 31 | 2 | | 32 | 17 | | 33 | 2 | | 34 | 59 | | 35 | 65 | | 36 | 27 | | 37 | 11 | | 38 | 17 | | 39 | 11 | | 40 | 33 | | 41 | 7 | | 42 | 7 | | 43 | 56 | | 44 | 21 | | 45 | 46 | | 46 | 27 | | 47 | 21 | | 48 | 3 | | 49 | 59 |
| |
| 93.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 88 | | matches | | 0 | "been overlooked" | | 1 | "were arranged" | | 2 | "was streaked" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 204 | | matches | | 0 | "was staring" | | 1 | "was watching" | | 2 | "was filling" |
| |
| 54.26% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 129 | | ratio | 0.031 | | matches | | 0 | "The air thickened with each footfall, carrying the mineral scent of old brickwork and something else — a coppery tang that settled on the back of her tongue." | | 1 | "His clothes were unremarkable — dark jeans, a grey jumper, scuffed trainers." | | 2 | "That was when she saw it — a faint discoloration on the right thumb, a smudge of dark pigment that had been overlooked in the initial examination." | | 3 | "Not lengthening — there was no source to cast them longer — but deepening, thickening, as if something was filling them from the inside out." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1218 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same green-gold patina" |
| | adverbCount | 28 | | adverbRatio | 0.022988505747126436 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008210180623973728 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 13.11 | | std | 10.3 | | cv | 0.786 | | sampleLengths | | 0 | 26 | | 1 | 17 | | 2 | 16 | | 3 | 8 | | 4 | 28 | | 5 | 1 | | 6 | 9 | | 7 | 36 | | 8 | 23 | | 9 | 3 | | 10 | 23 | | 11 | 23 | | 12 | 8 | | 13 | 10 | | 14 | 4 | | 15 | 20 | | 16 | 19 | | 17 | 9 | | 18 | 22 | | 19 | 12 | | 20 | 7 | | 21 | 20 | | 22 | 3 | | 23 | 5 | | 24 | 17 | | 25 | 6 | | 26 | 11 | | 27 | 11 | | 28 | 13 | | 29 | 4 | | 30 | 25 | | 31 | 16 | | 32 | 4 | | 33 | 3 | | 34 | 3 | | 35 | 2 | | 36 | 7 | | 37 | 24 | | 38 | 27 | | 39 | 15 | | 40 | 9 | | 41 | 43 | | 42 | 6 | | 43 | 4 | | 44 | 3 | | 45 | 11 | | 46 | 12 | | 47 | 27 | | 48 | 5 | | 49 | 8 |
| |
| 64.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.43410852713178294 | | totalSentences | 129 | | uniqueOpeners | 56 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 80 | | matches | | 0 | "She grunted acknowledgment and descended" | | 1 | "His clothes were unremarkable —" | | 2 | "she observed, lifting one of" | | 3 | "She was staring at the" | | 4 | "She turned them over, examining" | | 5 | "She pulled a small flashlight" | | 6 | "It had a metallic quality," | | 7 | "It was small, no larger" | | 8 | "She knew those sigils." | | 9 | "She had seen them before," | | 10 | "It seeped up through the" | | 11 | "She pulled out her phone" | | 12 | "They moved quickly, gathering the" | | 13 | "She did not look at" | | 14 | "She kept her eyes fixed" |
| | ratio | 0.188 | |
| 41.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 80 | | matches | | 0 | "Detective Harlow Quinn ducked under" | | 1 | "The uniformed constable guarding the" | | 2 | "She grunted acknowledgment and descended" | | 3 | "The air thickened with each" | | 4 | "The stairs opened into what" | | 5 | "Emergency lighting bathed the space" | | 6 | "DS Riya Kapoor stood near" | | 7 | "Tonight it seemed to be" | | 8 | "Harlow said, pulling on latex" | | 9 | "Kapoor flipped open her notebook" | | 10 | "Harlow crouched beside the sheet" | | 11 | "The victim's face was slack" | | 12 | "His clothes were unremarkable —" | | 13 | "A single clean incision ran" | | 14 | "she observed, lifting one of" | | 15 | "The fingers were clean, nails" | | 16 | "Kapoor's voice carried an edge" | | 17 | "Harlow didn't respond immediately." | | 18 | "She was staring at the" | | 19 | "Something about the pattern nagged" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 9.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 8 | | matches | | 0 | "The air thickened with each footfall, carrying the mineral scent of old brickwork and something else — a coppery tang that settled on the back of her tongue." | | 1 | "Emergency lighting bathed the space in harsh white pools that made the shadows between them deeper than they had any right to be." | | 2 | "Thirty-two, sharp-eyed, with the kind of restless energy that made her either a brilliant detective or an exhausting one depending on the hour." | | 3 | "That was when she saw it — a faint discoloration on the right thumb, a smudge of dark pigment that had been overlooked in the initial examination." | | 4 | "It had a metallic quality, catching the light with a green-gold shimmer that reminded her of old copper roofs and garden statuary left too long in the rain." | | 5 | "And professionals certainly didn't die holding compasses that pointed toward things that shouldn't exist." | | 6 | "It seeped up through the concrete floor, through the soles of Harlow's shoes, climbing her spine like frost forming on a windowpane." | | 7 | "Not lengthening — there was no source to cast them longer — but deepening, thickening, as if something was filling them from the inside out." |
| |
| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "Harlow straightened up, her shoes echoing on the tiles" | | 1 | "Harlow straightened up, her voice flat" | | 2 | "Kapoor said, but her voice had lost its certainty" |
| |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she observed (observe)" | | 1 | "she murmured (murmur)" | | 2 | "Harlow agreed (agree)" | | 3 | "she ordered (order)" |
| | dialogueSentences | 60 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.4 | | effectiveRatio | 0.133 | |