Run: 2026-10-27-01M5YHYSPWTA49ZB3KMVKPMG2K

Run Details

Duration:
45.9s
Cost:
$0.017139
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The constable at the bottom of the stairs held out a yellow plastic tray. “Your token, ma’am.” Detective Harlow Quinn took a sliver of bone from her coat pocket. A hole pierced one end, polished smooth by a cord that no longer hung from it. She placed it in the tray beside three others. “Where did you get yours?” the constable asked. “From the desk sergeant. She got it from a man who wouldn’t give his name.” The constable picked up the bone with two gloved fingers and dropped it into a biscuit tin. The gate behind him opened onto an abandoned platform, where strings of lamps hung between iron pillars. Their light fell across market stalls built from doors, pallets and old shop counters. Canvas roofs crowded the tiled wall beneath a faded station name. VEIL MARKET had been chalked over the original lettering. Someone had rubbed out the word VEIL with a sleeve. A woman in a silver coat stood behind the police cordon, arguing with a uniformed officer. “You can’t leave my stock down there.” “Then tell me what’s in the jars.” “You don’t need to know.” “Neither do you, by the sound of it.” The woman caught sight of Quinn and shut her mouth. Quinn passed her and ducked beneath the tape. Sergeant Daniel Malik waited beside a stall made from a green-painted wardrobe. He wore a paper suit over his clothes and held a notebook against his chest. At his feet lay a man in a dark waistcoat, his arms spread across the platform. “Male, early fifties,” Malik began. “No identification. The traders called him Peter Bell.” Quinn crouched beside the body. Bell’s white shirt had opened at the collar. Blood soaked the front of the waistcoat and pooled beneath his right shoulder. A narrow knife lay near his hand, its bone handle clean against the dirty tiles. “Who found him?” “Woman at the next stall. She heard an argument, came round the wardrobe and saw him on the floor. She saw a figure disappear through the service passage.” “The figure had a face?” “A hood. Dark coat.” Quinn looked along the platform. A gap between the wardrobe and the wall led to a brick passage. A steel grille stood open at its far end. “Did she see the knife?” “She saw it in Bell’s chest. Pulled it out herself.” Quinn looked up. “She’s a nurse,” Malik added. “Or she was. She thought she could help.” “Where is she?” “Upstairs with an officer. Her name’s Nia Grant.” Quinn studied the knife without touching it. Blood coated the blade to within a centimetre of the handle. A second stain marked the tiles beneath its tip, but the broad pool under Bell’s shoulder had stopped short of it. “Did Grant move the body?” “She says no.” “Did she step in the blood?” “She says no to that, too. We’ve bagged her shoes.” Quinn rose, keeping her feet clear of the pool. A brass compass lay on the wardrobe counter among cards, lengths of wire and small stoppered bottles. Green corrosion mottled its casing. Fine symbols had been scratched around the face, and its needle pointed towards the tiled wall. “Bell’s?” “That’s what Grant told us. He sold antiques, charms, that sort of thing.” “Was anything taken?” “She couldn’t say. She didn’t know his stock.” A crime-scene photographer moved around the body, the flash whitening Bell’s face. Quinn waited until the camera lowered. “Walk me through the escape.” Malik opened his notebook. “Grant heard Bell arguing with a customer. She couldn’t make out the words. A minute later she heard something hit the floor. She came round, saw the figure at the grille, and found Bell.” “The grille was open?” “According to her. There’s a passage on the other side that joins the old northbound tunnel. We’ve got officers searching it.” “Any other way out?” “Not unless you count the tracks. We put people at both ends as soon as we arrived.” Quinn looked at the grille. Its bars showed rust beneath a skin of grey dust. A fresh scrape cut across the floor where the bottom edge had swung. “Your interpretation?” “Customer killed him, went through the grille and took the tunnel. Grant disturbed him before he could take the knife.” “Why would he want it?” “Prints. Or it belonged to him.” Quinn glanced at Bell’s right hand. Blood covered the tips of his index and middle fingers. His palm lay clean against the tile. “Has anyone checked the passage for prints?” “Scene team’s doing it now. They found one set of shoe marks in the dust.” “Going which way?” “Towards the tunnel.” Quinn stepped around the wardrobe. Its back faced the neighbouring stall, a trestle table crowded with bundles of dried plants. A strip of fabric hung between the two pitches. From Grant’s side, the wardrobe blocked the view of Bell’s body but left the passage visible. “Grant could see the grille from here?” “If she leaned out.” “Did she?” “She said she came round after the noise.” Quinn looked down. A thin scatter of white powder crossed the floor from Grant’s stall to Bell’s. A ceramic bowl had broken beside the wardrobe, and the powder inside had spilled across the tiles. Two shoe marks cut through it. One pointed towards the body; the other pointed back towards Grant’s table. “Her shoes?” “Looks that way.” The marks stopped well short of the blood. Quinn followed them with her eyes to the bowl. Its largest piece lay beneath the wardrobe, its broken edge facing out. “Who broke this?” “Grant didn’t know. It was already on the floor when she came round.” Quinn knelt. A thread of red ran through the powder beside the wardrobe leg. The stain widened under the wood, where the photographer’s flash had not reached. She beckoned to a scene officer. “Can you get a light under there?” The officer lay on his stomach and shone a torch beneath the wardrobe. Blood had collected in the shallow channel between two tiles. A torn scrap of white cloth clung to a splinter on the underside. Malik crouched beside Quinn. “Could have run there from the pool.” “The floor slopes the other way.” Quinn set her worn leather watch against the tile. Its round face rolled a short distance towards the body before she caught it. “The grout’s lower here,” Malik said. “It could carry blood uphill along the groove.” “Not uphill.” She pointed to the wardrobe leg. Blood had dried on its inner face, above the floor. A smear continued around the corner of the wood and stopped at a rough patch of green paint. “Something pressed against it.” “Bell?” “His shirt’s torn at the shoulder.” Malik looked back at the body. The right sleeve had split along its seam, exposing a strip of skin. “The killer dragged him out after he stabbed him?” “Why drag him into the open?” “To look for something on him. Grant disturbed him.” Quinn considered the counter. Nothing appeared overturned. The bottles stood in rows, and a deck of cards had been squared beside the compass. Beneath the counter sat a cash box with its lid shut. “Did Bell keep his money there?” “Grant thought so.” “Has anyone opened it?” “Not yet.” Quinn put on gloves and lifted the lid. Notes and coins filled the tray. Beneath them lay a paper envelope with a handwritten list of names and figures. She left it where it sat. “If the customer wanted money, he missed it,” she said. “He might have wanted one item.” “Then he knew which item and where to find it.” Malik closed his notebook. “Or Grant took it before we arrived.” “Ask her what Bell sold this morning. Get the names of anyone who bought from him.” An officer approached from the passage, carrying a clear evidence bag. Inside lay a short length of cord threaded through a bone token. “Found it beyond the grille, ma’am. In the dust.” “Near the shoe marks?” “On top of one.” Quinn took the bag by its sealed edge. The cord had snapped, leaving pale fibres at both ends. The bone looked cleaner than the token she had surrendered at the stairs. Malik leaned closer. “He lost it while he ran.” “Did he stop to open the grille?” “He’d have had to.” Quinn handed the bag back to the officer. “Show me the marks.” The passage smelled of damp brick and old soot. One set of prints crossed the dust towards the tunnel. At the grille, the marks narrowed where the wearer had stepped through. The door’s handle bore a clean patch beneath the rust. Quinn followed the prints for six paces. A shallow groove ran alongside them, interrupted by the ridges of the soles. “Was anything dragged through here?” she asked. The officer shook his head. “Only the cord. The token was here.” He pointed to a square of clean dust beside the fifth print. Quinn looked at the groove again. It began at the grille and ended at that square. “The cord left the line,” she said. Malik bent over it. “It caught on the shoe.” “Then the bone should have struck the floor before the cord did.” She held out her hand. The officer returned the bag. Quinn turned it so the cord hung from the token. The loose end reached only halfway to the next print. “The cord’s too short to trail behind a foot and leave the token here. Someone held it low and pulled it through the dust.” Malik examined the line. “Someone could have carried it by the cord.” “Then the bone would have made the wider mark. This line’s narrow.” “Why carry a token like that?” Quinn looked back towards the platform. Grant’s stall stood beyond the wardrobe, hidden from this angle. “Let’s ask her.” Grant sat on a folding chair near the stairs, wrapped in a police blanket. She had cropped black hair and a cut across one knuckle. Her boots stood on the floor beside her, each sealed in a separate bag. “I told the other officer what happened,” she said as Quinn approached. “I need to check a few details. You heard Bell argue with someone?” “Yes.” “Man or woman?” “Man. Bell’s voice carried. The other one kept his down.” “What did they argue about?” “I heard Bell say, ‘That wasn’t our price.’ Then the other man knocked something over.” “The bowl?” “I suppose.” “Did you hear it break?” Grant pulled the blanket tighter. “I heard a crash.” “Did Bell call out?” “No.” “You came round the wardrobe and saw the man at the grille.” “His back. He wore a hood.” “Did he open it?” “It was already open.” “Was he carrying anything?” “I didn’t see his hands.” Quinn held up the bag containing the token. “Did you see him drop this?” “No.” “Did you go into the passage?” “No. I went to Peter.” “You pulled the knife out?” Grant’s fingers tightened around the blanket. “Yes. I know what you’re going to say. I should have left it in.” “What happened to the blood when you pulled it out?” “It came out with the knife.” “Did it spray?” “Some. It got on my sleeve.” Her coat lay folded on another chair. A brown-red streak marked one cuff. Quinn could see no droplets above it. “Which hand did you use?” “My right.” “Show me.” Grant let go of the blanket, reached across her body and closed her right fist as if around a handle. Her cut knuckle faced Quinn. “That cut came from the knife?” “No. The bowl. I picked up a piece before I saw Peter.” Quinn lowered the evidence bag. “You told Sergeant Malik the bowl was already broken when you came round.” “It was.” “You picked up a piece. Why?” “It belonged to me. I thought someone had knocked it off the table.” “And you put it where?” “Back on my stall.” Malik crossed to the trestle table. Among the bundles of plants sat a ceramic fragment with white powder caught in its curve. He called a scene officer over and pointed it out. Quinn watched Grant’s face. “When you came round the wardrobe, where was Bell?” “On his back. Where he is now.” “His shoulder caught on a splinter underneath the wardrobe. There’s blood on the wood.” Grant looked towards the stall. “Peter could have fallen against it.” “He could. But he didn’t stay there. Someone pulled him clear.” “I didn’t touch him except to take the knife out.” “Who else was there?” “The man at the grille.” Quinn glanced at the passage. From Grant’s chair, the grille showed as a narrow rectangle beyond the wardrobe. “You couldn’t see the grille from behind your table. You had to come round to see it.” “That’s what I told you.” “You also picked up the bowl before you saw Bell. You had time to bend down, pick through the broken pieces and take one back to your stall. Yet the man was still at the grille when you came round.” Grant opened her mouth. Her gaze shifted to the bag in Quinn’s hand. “The crash came from the passage,” she said. “A moment ago it came from the bowl.” “I heard both.” “Which came first?” Grant pressed her lips together. Malik returned from the stall with the scene officer at his shoulder. “The fragment has blood on its edge,” he said. Grant looked at her cut hand. “That’s mine.” “We’ll check,” Quinn replied. She crouched so that Grant no longer had to look up at her. “Bell’s fingers had blood on them. Two fingertips, not the palm. He touched the knife wound, or something else with blood on it. I want to know where he stood when you saw him last.” “Behind his counter.” “Before the argument?” “Yes.” “Where were you?” “At my table.” Quinn glanced at the bowl fragment, then at the cut across Grant’s knuckle. “You picked up that piece after it broke. Did Bell come round the wardrobe while you were holding it?” Grant stared at her hand. The blanket slipped from one shoulder and fell into her lap. “He came round because he heard it break,” she said. “He took hold of my wrist.” “Which wrist?” “My left.” The cut lay on Grant’s right hand. Quinn looked back towards the wardrobe, where the torch still shone beneath the green-painted wood. “Show me where you stood,” she said.
created_at"2026-10-27T11:29:32.393Z" 10/27/2026, 11:29:32 AM
model"openai/gpt-6.1-terra-20261026"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3934
moderation_latency(null)
generation_time45826
tokens_prompt1112
tokens_completion3802
native_tokens_prompt1009
native_tokens_completion3226
native_tokens_completion_images0
native_tokens_reasoning178
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.017139
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793100572-lvveZ2IIvLksBEzys2gv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793100572-LOKUSdRPv4oV3bxkcXUJ"
upstream_id"resp_0cdf9ebb7889e9ad016ae08b1c7ff887d1813ccf23de34568f"
provider_responses
0
endpoint_id"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id"resp_0cdf9ebb7889e9ad016ae08b1c7ff887d1813ccf23de34568f"
is_byokfalse
latency539
model_permaslug"openai/gpt-6.1-terra-20261026"
provider_name"OpenAI"
status200
total_cost0.017139
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences157
tagDensity0.083
leniency0.166
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2412
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
97.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2412
totalAiIsms1
found
0
word"stomach"
count1
highlights
0"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences144
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences144
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences288
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2412
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions26
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions80
wordCount1293
uniqueNames7
maxNameDensity2.78
worstName"Quinn"
maxWindowNameDensity6
worstWindowName"Grant"
discoveredNames
Harlow1
Quinn36
Daniel1
Malik13
Bell6
Grant18
Blood5
persons
0"Harlow"
1"Quinn"
2"Daniel"
3"Malik"
4"Bell"
5"Grant"
6"Blood"
places(empty)
globalScore0.108
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences103
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2412
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences288
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs213
mean11.32
std11.04
cv0.975
sampleLengths
014
13
237
38
415
559
619
716
87
97
105
118
1218
1343
1413
1541
163
1728
185
194
2027
215
2210
233
2413
253
268
2739
285
293
306
3110
3247
331
3413
353
368
3718
385
394
4034
414
4221
434
4417
4528
462
4720
485
496
97.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences144
matches
0"been chalked"
1"been scratched"
2"been squared"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs201
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences288
ratio0.003
matches
0"One pointed towards the body; the other pointed back towards Grant’s table."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1297
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.013107170393215111
lyAdverbCount1
lyAdverbRatio0.0007710100231303007
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences288
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences288
mean8.38
std5.47
cv0.653
sampleLengths
014
13
212
316
49
58
615
717
817
914
1011
119
1210
1316
147
157
165
178
1810
198
2012
2115
2216
235
248
255
268
2713
2815
293
3028
315
324
335
3413
359
365
3710
383
395
408
413
428
437
4411
4521
465
473
486
4910
46.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.2881944444444444
totalSentences288
uniqueOpeners83
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences132
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences132
matches
0"She placed it in the"
1"Their light fell across market"
2"He wore a paper suit"
3"Its bars showed rust beneath"
4"His palm lay clean against"
5"Its back faced the neighbouring"
6"Its largest piece lay beneath"
7"She beckoned to a scene"
8"Its round face rolled a"
9"She pointed to the wardrobe"
10"She left it where it"
11"He pointed to a square"
12"It began at the grille"
13"She held out her hand."
14"She had cropped black hair"
15"Her boots stood on the"
16"she said as Quinn approached"
17"Her coat lay folded on"
18"Her cut knuckle faced Quinn."
19"He called a scene officer"
ratio0.167
9.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount119
totalSentences132
matches
0"The constable at the bottom"
1"Detective Harlow Quinn took a"
2"A hole pierced one end,"
3"She placed it in the"
4"the constable asked"
5"The constable picked up the"
6"The gate behind him opened"
7"Their light fell across market"
8"Canvas roofs crowded the tiled"
9"VEIL MARKET had been chalked"
10"Someone had rubbed out the"
11"A woman in a silver"
12"The woman caught sight of"
13"Quinn passed her and ducked"
14"Sergeant Daniel Malik waited beside"
15"He wore a paper suit"
16"Quinn crouched beside the body."
17"Bell’s white shirt had opened"
18"Blood soaked the front of"
19"A narrow knife lay near"
ratio0.902
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences132
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences67
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount1
fancyTags
0"Malik added (add)"
dialogueSentences157
tagDensity0.076
leniency0.153
rawRatio0.083
effectiveRatio0.013
85.0666%