Run: 2026-10-27-01M5YHZ9QNFGTYN7DZ2QV8X4YQ

Run Details

Duration:
41.3s
Cost:
$0.016574
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 piece of bone. “Two pounds from a man upstairs. He had a pocketful.” Detective Harlow Quinn took the token between thumb and forefinger. Someone had carved an eye into its yellow surface. The constable stepped aside, and Quinn passed through a tiled arch into the abandoned station. A strip of black cloth covered the old station name. Beneath it, market stalls crowded the platform: trestle tables, hanging lamps, a cabinet full of stoppered bottles. The lamps gave off a blue light that left the corners in shadow. Three uniformed officers stood beside a cordon of police tape, keeping a cluster of traders back from the tracks. Detective Sergeant Patel waited at the tape. He wore gloves and held a notebook against his chest. “You bought a bone as well?” Quinn asked. Patel lifted his token. “The stallholders insisted. One of the uniforms went through without one and ended up back on the stairs. Twice.” “Did anyone see him turn round?” “He swore he didn’t.” Quinn looked back at the arch. The constable stood beneath it, rubbing the bone against his trouser seam. “Take his account. Include what he had for breakfast.” “I already did. Toast. No drink.” Patel lifted the tape for her. Beyond it, a man lay on his back beside a stall, his head turned towards the tracks. Blood had soaked the collar of his cream shirt and spread across the tiles beneath his neck. A narrow knife protruded from his chest. The stall behind him contained a red velvet cloth, an open cash box and a row of small brass objects. One space in the row stood empty. “Name?” Quinn asked. “Leon Voss. Forty-eight, according to the driving licence in his wallet. Sold instruments, mostly. Two traders saw a man run from the stall at ten fourteen.” “Description?” “Dark coat. Hood up. One saw trainers. The other saw boots.” “And the man had something from the stall?” “Both heard Voss shouting about a thief. Neither saw what the runner carried.” Quinn crouched beside the body. Voss had a broad face and a short grey beard. A bead of dried blood sat in the hollow beneath his ear. His right hand lay open, palm up; the left had curled around a fistful of the velvet cloth. “Who found him?” “A woman from the next stall. Mirela Sava. She heard him shout, came round the curtain and saw the runner. By the time she reached Voss, he had the knife in him.” “Did she touch him?” “She checked his pulse.” “Which wrist?” Patel consulted his notebook. “Right.” The right cuff was folded back. Quinn looked at the left hand. The cloth ran from the stall, over its edge and into Voss’s grip, where the fabric bunched beneath his fingers. “Has the photographer finished?” “Ten minutes ago.” Quinn put on gloves and touched the cloth just above Voss’s fist. It pulled taut against the stall. “He dragged it down with him,” Patel said. “There’s a patch without dust where an object stood. Thief took it, Voss grabbed at him, and the cloth came with his hand.” Quinn followed the edge of the cloth to the empty patch. A rectangle of clean velvet lay between two brass compasses. Dust filmed the rest of the display. “What was there?” “Sava called it a Veil Compass. A customer mentioned it too. Brass casing, green tarnish, markings on the face.” “Value?” “Depends who we ask. Sava reckoned five hundred. The customer offered six hundred an hour before the killing, and Voss turned her down.” “Where is the customer?” Patel pointed across the platform. A woman with curly red hair stood beside a pillar, holding a leather satchel against her chest. Her round glasses had slipped down her freckled nose. She pushed them up when Quinn looked over. “Eva Kowalski,” Patel said. “Research assistant at the British Museum. She says the compass detects doors.” “Doors to what?” “She wouldn’t tell me.” “Ask her to wait.” “She hasn’t asked to leave.” Quinn studied Voss’s hand. His fingernails held a dark red residue. At the edge of his thumbnail, a single velvet fibre curled over the skin. “Did Sava describe the thief’s route?” “Down the platform, up the stairs.” “Past the constable?” “He arrived after the call. The trader on the stairs says she saw no one in a hood.” “Could have taken it off.” “Could have.” Quinn leaned closer to Voss’s cuff. A small brass button remained fastened at his wrist. The fabric beneath it was clean. She rose and examined the stall. The velvet cloth had a stitched border. Where it hung over the near edge, the seam had snagged on a splinter in the trestle. A loose thread stretched from the seam to the wood. “Voss grabbed the cloth before he fell,” Patel said. “That’s why it caught.” Quinn pinched the thread. It broke with a small snap. “Look at the direction.” The snag pulled towards the stall, not away from it. Quinn laid the loose thread on the cloth and moved around the trestle. Behind it stood a wooden chair, its seat angled towards the wall. A shallow bowl of tobacco and a paper packet of matches rested on the floor. “Someone pulled the cloth from this side,” she said. “Then they put it in his hand.” Patel bent to inspect the snag. “He could have reached back while he was falling.” “His left arm would have had to cross his body. Sava came out from behind that curtain. She saw him fall?” “She saw him on the floor.” “Ask her whether the cloth was in his hand when she checked his pulse.” Patel sent a constable to fetch the trader. Quinn returned to the body and studied the blood beneath Voss’s neck. It had spread into the grout lines, forming a dark grid. At the edge of the pool, a pale stripe crossed two tiles. She lowered her face. The stripe was too straight for a smear from a sleeve. At one end, a tiny groove cut through the dried blood. “Has anyone moved him?” she asked. “No. Paramedics checked for a pulse, then left him as they found him.” A stocky woman came under the tape, escorted by the constable. She wore a fur collar over a black cardigan, and her lipstick had marked the filter of the cigarette in her hand. “Mirela Sava?” Quinn asked. “Yes.” “When you found Voss, was he holding the cloth?” “I didn’t look at his hand.” “You checked his right wrist.” “I did.” “Did you put the cloth in his left hand?” Sava’s cigarette paused halfway to her mouth. “No.” “Did you touch the stall?” “I pulled the curtain aside. That was all.” Quinn pointed at the red velvet. “You didn’t straighten anything? Cover anything?” “Why would I? Leon was on the floor.” “Who else came over?” “Half the platform. I shouted for help.” “Did any of them reach the body before the police?” Sava glanced towards the tape. “Eva did. The red-haired girl. She knelt beside him.” Patel looked up from his notebook. “You told me no one touched him.” “I didn’t see her touch him. She knelt. Then she went behind the stall.” “Why?” “She said she wanted her satchel. She’d left it there when Leon showed her the compass.” Quinn looked at Eva by the pillar. The satchel hung at her hip, its leather strap worn pale at the shoulder. “Did she take anything else?” Quinn asked. “I watched Leon. I didn’t watch her.” Quinn thanked Sava and sent her back to the cordon. Patel closed his notebook. “Kowalski offers six hundred, gets turned down, then appears behind the stall after he’s stabbed.” “And Sava forgot to mention her.” “She didn’t say anyone went behind the stall until you asked.” “Did you ask?” Patel’s mouth tightened. “No.” Quinn pointed to the pale stripe in the blood. “Find me something with a straight edge. Nothing from the stall.” Patel fetched a plastic evidence ruler from a forensic officer. Quinn placed it beside the stripe, taking care not to touch the blood. The ruler lay at an angle across the grout, parallel to the mark. Voss’s head rested close to the stall. The stripe sat farther out, towards the tracks. “Something stood there while the blood spread,” Quinn said. “Then someone lifted it.” Patel looked at the chair behind the trestle. Its legs were square wood, each capped with metal. The front pair had a flat bar between them, set a few centimetres above the floor. They carried the chair around the stall. Quinn held it above the stripe, and Patel checked the alignment. “The bar fits,” he said. “Put it down beside the mark.” He did. With the chair facing the stall, its front legs straddled the stripe. One metal cap held a fleck of dark red. “Voss bled while he sat here,” Quinn said. “Someone moved him and put the chair back.” Patel looked at the knife. “The paramedic said the wound could have killed him within minutes.” “We’ll let the pathologist settle that. He might have been alive when they moved him.” Quinn examined the floor between the stripe and the body. A broad, faint drag crossed one tile. The velvet cloth concealed its other end. “Why move him?” Patel asked. “Perhaps the person who moved him wanted him facing up.” She crouched and eased the cloth away from Voss’s left side. Blood had marked the back of his shirt, but not his sleeve. A thin wet line ran from the side of his neck into his collar. “If he sat in the chair, facing the stall, his head would have pointed that way.” She indicated the wall. “Now look where he’s facing.” “Tracks.” Quinn studied the wall behind the stall. Old advertisements showed through layers of paste and paint. A drainpipe ran down beside a bricked-up doorway. At waist height, a fresh scrape cut across the paint. Eva Kowalski approached the tape. “Detective? I need my books. One of your officers took them out of my bag.” “Stay there,” Patel said. Eva tucked a curl behind her left ear. “They’re archive copies. I signed them out under my name.” Quinn walked over. “You were behind Voss’s stall after he was stabbed.” “Yes. My bag was there.” “Did you touch the cloth?” “No.” “The chair?” Eva’s hand stopped at her hair. “No.” “Did you see anyone move it?” “I saw Leon sitting in it when I left him.” “What time?” “Just after ten. I went to Sava’s stall. Her clock said ten past when I heard Leon shout.” “What did he shout?” “‘You can’t take it through there.’ Then something fell. I went round the curtain with Mirela.” “Sava came first?” “By a step or two.” “And you went for your bag.” “After I saw the knife.” Eva gripped the satchel strap. “I didn’t know whether the person who stabbed him was still there.” “Where had you left it?” “Under the chair. Leon didn’t want bags on his cloth.” Quinn looked back at the chair. Eva followed her gaze. “I had to reach underneath,” Eva said. “I didn’t move it.” “Where was Leon sitting?” “Behind the stall.” “Facing the wall?” “No. Facing me. I was at the front.” Patel opened his notebook again. “Did you see the man in the hood?” “I saw someone running, but Sava was in front of me. I couldn’t see his face.” “Did he have the compass?” “I don’t know.” Quinn walked to the wall and set her fingers beside the fresh scrape. The paint had curled outward. Below it, a narrow vertical line ran through the bricks, so fine that the mortar hid it until she pressed her eye close. “Patel.” He joined her. Quinn traced the line down to the platform. A second line rose on the other side of the old doorway. Patel pressed the bricks. They did not move. “Where’s the compass now?” Quinn asked Eva. “I haven’t seen it since Leon put it back on the stall.” “What does it point to?” Eva looked at the officers along the cordon, then at Quinn. “Rifts. Openings between places.” Patel gave a short breath through his nose. “You offered six hundred pounds for that?” “Yes.” Quinn pointed at the scrape. “Could it have pointed here?” Eva stepped under the tape before Patel could stop her. She peered at the line in the mortar, then put a hand against the wall. “The needle would have turned if there was an opening,” she said. “An opening a person could use?” “I don’t know this one.” Patel took his phone from his pocket and photographed the scrape. Quinn returned to Voss and looked once more at the chair, the stripe in the blood and his face turned towards the tracks. “Sava saw someone run,” she said. “But she came out after he shouted. She didn’t see where that person came from.” Patel lowered the phone. “You think the thief went through the wall.” “I think someone moved Voss from the chair, turned his face away from it and put the cloth in his hand. Then we got a witness who saw a hood going the other way.” He looked at the traders beyond the tape. Sava stood among them, her cigarette gone. Quinn held out the bone token to the constable nearest the wall. “Get the forensic team over here. Tell them not to press anything until they’ve photographed the joints.”
created_at"2026-10-27T11:29:48.801Z" 10/27/2026, 11:29:48 AM
model"openai/gpt-6.1-terra-20261026"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4480
moderation_latency(null)
generation_time41227
tokens_prompt1112
tokens_completion3511
native_tokens_prompt1009
native_tokens_completion3113
native_tokens_completion_images0
native_tokens_reasoning175
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"
usage0.016574
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793100588-V4JXZi3743e1FDHjp2yC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793100588-NODLDZj5ceFXDkGywBVq"
upstream_id"resp_0c9ebfe4387f737e016ae08b2ce4b887d1b0a66325085c7905"
provider_responses
0
endpoint_id"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id"resp_0c9ebfe4387f737e016ae08b2ce4b887d1b0a66325085c7905"
is_byokfalse
latency286
model_permaslug"openai/gpt-6.1-terra-20261026"
provider_name"OpenAI"
status200
total_cost0.016574
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
totalTags21
adverbTagCount0
adverbTags(empty)
dialogueSentences140
tagDensity0.15
leniency0.3
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2256
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
75.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2256
totalAiIsms11
found
0
word"velvet"
count7
1
word"pulse"
count3
2
word"traced"
count1
highlights
0"velvet"
1"pulse"
2"traced"
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
narrationSentences142
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences142
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences261
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2256
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions37
unquotedAttributions0
matches(empty)
0.62% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions87
wordCount1205
uniqueNames8
maxNameDensity2.99
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn36
Sergeant1
Patel25
Voss9
Sava4
Eva10
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Patel"
4"Voss"
5"Sava"
6"Eva"
7"Kowalski"
places(empty)
globalScore0.006
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences100
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2256
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences261
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs174
mean12.97
std11.33
cv0.874
sampleLengths
014
110
234
359
417
58
623
76
84
918
109
116
1247
1327
143
1526
161
1711
188
1913
2045
213
2232
234
244
252
265
2732
284
293
3018
3131
3228
333
3419
351
3623
374
3839
3916
403
414
424
435
4425
456
466
473
4818
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences142
matches
0"was folded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs188
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences261
ratio0.004
matches
0"His right hand lay open, palm up; the left had curled around a fistful of the velvet cloth."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1206
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.014096185737976783
lyAdverbCount1
lyAdverbRatio0.0008291873963515755
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences261
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences261
mean8.64
std5.41
cv0.626
sampleLengths
014
110
210
39
415
510
617
713
819
97
1010
118
124
1319
146
154
166
1712
189
196
206
2117
2217
237
2420
257
263
2726
281
2911
308
3113
325
3310
3412
3518
363
3732
384
394
402
414
421
436
446
4520
464
473
4812
496
51.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.31417624521072796
totalSentences261
uniqueOpeners82
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences124
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences124
matches
0"He wore gloves and held"
1"His right hand lay open,"
2"It pulled taut against the"
3"Her round glasses had slipped"
4"She pushed them up when"
5"His fingernails held a dark"
6"She rose and examined the"
7"It broke with a small"
8"It had spread into the"
9"She lowered her face."
10"She wore a fur collar"
11"Its legs were square wood,"
12"They carried the chair around"
13"She crouched and eased the"
14"She indicated the wall"
15"He joined her."
16"They did not move."
17"She peered at the line"
18"He looked at the traders"
ratio0.153
16.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount110
totalSentences124
matches
0"The constable at the bottom"
1"Detective Harlow Quinn took the"
2"Someone had carved an eye"
3"The constable stepped aside, and"
4"A strip of black cloth"
5"The lamps gave off a"
6"Detective Sergeant Patel waited at"
7"He wore gloves and held"
8"Patel lifted his token."
9"Quinn looked back at the"
10"The constable stood beneath it,"
11"Patel lifted the tape for"
12"Blood had soaked the collar"
13"A narrow knife protruded from"
14"The stall behind him contained"
15"Quinn crouched beside the body."
16"Voss had a broad face"
17"A bead of dried blood"
18"His right hand lay open,"
19"Patel consulted his notebook."
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences124
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags18
fancyCount0
fancyTags(empty)
dialogueSentences140
tagDensity0.129
leniency0.257
rawRatio0
effectiveRatio0
84.1430%