Run: 2026-10-05-01M46B7PPF412Z2K7JKS5YJES6

Run Details

Duration:
1m 40s
Cost:
$0.030688
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 staircase ended at a ticket barrier that had no business standing beneath Camden. Someone had threaded copper wire through its teeth and hung a row of milk-white objects from the top rail. Detective Harlow Quinn stopped before she touched one. “Finger bones?” Detective Sergeant Bell lifted the barrier with a gloved hand. “Goat, according to the woman downstairs. She had one in her pocket. Uniform took it off her, and the gate opened.” “Uniform put a bone into an abandoned ticket machine?” “It was that or climb.” Quinn ducked beneath the rail. Her torch picked out roots between the ceiling tiles, old advertisements under layers of soot, and a strip of fresh red fabric tied around a pipe. Somewhere below, water struck metal at uneven intervals. She checked her worn leather watch. Four seventeen. “Who called it in?” “A woman. Gave the location, reported a stabbing, hung up. Dispatch couldn’t trace the number.” “And how did we find the entrance?” “She gave instructions.” Bell handed her a sheet from his notebook. Past the shuttered bakery. Third service door. Knock with something that once lived. Quinn looked from the page to him. “Uniform used a wooden baton.” “Resourceful.” “They’re asking whether to put that in the log.” “They did it. It goes in.” The stairs opened onto a platform crowded with stalls. Canvas awnings sagged beneath the low ceiling. Glass jars filled one table, their contents wrapped in black paper. Another stall displayed keys with too many teeth, bundles of dried leaves, and teeth mounted in silver settings. A butcher’s scale held a lump of grey material that tightened when Quinn’s torch crossed it. She brought the beam back. The material lay still. Bell watched her face. “Camden’s expanded its retail offering.” “Who else has been down here?” “Two constables, ambulance crew, me. Scene examiner’s bringing equipment. Nobody else has come through our entrance.” “Your entrance.” He nodded towards a tunnel mouth beyond the stalls. “We haven’t cleared the other end.” “Then get someone on it.” A man lay beside a trestle table near the platform edge. He wore a brown coat, a waistcoat buttoned over his stomach, and polished shoes with pointed toes. His right hand rested against his chest. His left arm stretched towards the tracks. Blood darkened his shirt beneath the waistcoat. Quinn crouched without entering the chalk outline someone had drawn around him. “Who did that?” “One of the constables.” “Tell him chalk belongs on a school board.” Bell took out his phone. Quinn examined the floor. Fine black grit covered the platform, but a pale rectangle surrounded the dead man. The clean patch followed neither his body nor the chalk. It measured about a metre wide and two metres long. “Was he on something?” “Ambulance crew found him like that. They checked for signs of life, didn’t move him.” “Blanket? Mat?” “Nothing.” Quinn angled her torch along the floor. Two straight grooves crossed the grit at the rectangle’s edge. Each ended beneath the trestle table. Bell finished sending his message. “Looks like a robbery. His pockets are out, till’s empty, stock’s scattered. Someone stuck him and stripped the place.” “Where’s the stock?” He pointed to broken bottles under the table. “Those bottles broke where they stood. Look at the necks.” Three glass necks remained upright in their wooden rack. The bowls had shattered around them. “Someone hit the rack. They didn’t sweep it off the table.” “Angry customer, then. These places sell research chemicals under ridiculous names.” Quinn stood. A card beside the bottles read BORROWED HOURS. NO REFUNDS AFTER USE. “Who identified him?” “The woman with the goat bone. Eva Kowalski. She called him Mr Venn. Claims she doesn’t know his first name.” “Where is she?” “In the old waiting room. She works at the British Museum.” “Does the British Museum know about that?” “I checked the staff directory.” Quinn looked again at the corpse. The coat sleeves covered his wrists. His shirt cuffs remained clean. “Did they find the weapon?” “No.” “Any blood elsewhere?” “Not that we’ve seen.” She glanced at the empty space beside the man’s left shoe. “Then we haven’t seen enough.” Eva Kowalski sat on a wooden bench beneath a cracked route map. Curly red hair escaped the collar of her coat. She held her round glasses in both hands, one thumb rubbing the hinge. A constable stood beside a worn leather satchel on the floor. Eva put her glasses on when Quinn entered. “Can I have my bag back?” “After we’ve checked it.” “You opened the blue notebook?” “Not yet.” “Don’t pull the folded pages apart. They’re older than the binding.” Quinn drew up a chair. “What brought you here?” “A purchase.” “What sort?” “A compass.” “For museum work?” “For me.” Bell leaned against the doorway. “And the man selling it ended up dead.” Eva tucked a curl behind her left ear. “He was alive when I bought it.” “How long before you found him?” “Ten minutes. Twelve. I went to speak to another dealer.” “Name?” “Mother Sable.” Bell looked at Quinn. She kept her attention on Eva. “What did this dealer sell?” “Answers. Sometimes documents.” “What answer did you buy?” “I didn’t. She wasn’t at her stall.” “So you walked away from Venn, found an empty stall, came back, and found him stabbed.” Eva’s fingers closed around the edge of the bench. “I found him on the floor. I didn’t know he’d been stabbed until I opened his coat.” “Which hand?” “My right.” Quinn looked at the faint red marks along Eva’s thumbnail and forefinger. “Did you touch anything else?” “His neck. I checked his pulse.” “Why didn’t you call an ambulance?” “I called emergency services.” “You reported a stabbing.” “There was a hole in his shirt.” “Why didn’t you stay on the line?” Eva looked towards the platform. “The stalls started closing.” Bell folded his arms. “People saw a dead man and legged it.” “No.” Eva’s glasses slipped down her nose. She pushed them back with one knuckle. “The stalls closed. Their shutters came down. Some didn’t have shutters before.” Quinn allowed a beat to pass. “Had you taken anything tonight?” “Tea.” “Anything in it?” “Tea leaves.” Bell opened his mouth. Quinn raised a hand without looking at him. “Show me the compass.” The constable fetched a small brass instrument from the satchel. Verdigris freckled its casing. Etched marks crowded the face around a dark needle. Quinn held it level. The needle pointed across the waiting room towards the platform. “It’s broken.” Bell tapped his phone screen. “North’s that way.” “It doesn’t point north.” Eva reached for it, then withdrew her hand. “What does it point towards?” “The nearest opening.” “Opening into what?” Eva pressed her lips together. “Some people call them rifts.” Bell pushed away from the doorway. “Right.” Quinn turned the compass in her palm. The needle kept its bearing. “Who made it?” “A Shade artisan. Venn sold their work.” “Is Shade a name?” “Not a personal one.” Quinn carried the compass out onto the platform. Bell followed. “You’re not buying this?” “I’m holding it.” “There’ll be a magnet somewhere. Under the table, inside the wall. Half these stalls look built for a disappearing-coin routine.” “Then we’ll look for a magnet.” Near Venn’s body, the needle swung towards the tiled wall behind his stall. Quinn stopped. She moved three steps left. The needle shifted right. She moved past the trestle table, and it turned back towards a narrow section of cream tiles. A rusted fire cabinet stood farther along the wall. She approached it. The needle ignored the metal. Bell crouched beneath the table. “Could be a battery.” “Could be. Don’t touch anything.” Quinn lowered her torch. Footprints overlapped across the platform: trainers, work boots, the ribbed soles of the ambulance crew. Beside the clean rectangle, two narrow wheel tracks cut through the grit. She followed them towards the wall. “Not a mat.” Bell came around the table. “What?” “The rectangle. A trolley stood there. The wheels made these grooves.” “He transported his stock on it.” “Where’s the trolley?” “Someone took it.” “Without leaving a return track?” Bell crouched beside her. The wheel marks led to the cream tiles. Between them, a pair of shoe prints pointed towards the wall. One heel carried a crescent-shaped notch. Quinn turned her torch towards the corpse’s feet. A piece of the left heel had chipped away. “His shoes.” Bell studied the prints. “He stood facing the wall. People do.” Quinn traced the beam farther. The last right footprint ended at the grout line. Its toe impression stopped mid-sole. “Not like that.” She fetched Eva from the waiting room, leaving the constable with the satchel. “What was here when you bought the compass?” Eva looked at the tiles. “A curtain. Yellow, with brass rings.” “Behind Venn?” “Yes.” “What stood behind it?” “I didn’t look.” “Did anyone come through?” Eva touched the hair behind her ear. “A porter. He brought Venn a crate on a trolley.” Bell straightened. “And you didn’t mention him?” “You asked who I spoke to.” Quinn moved between them. “Describe him.” “Grey apron. Gloves. I couldn’t see his face.” “Why not?” “He kept his head down. The crate came up to his chin.” “Did he leave?” “He went back through the curtain.” “With the trolley?” “No. Venn kept it.” Quinn shone her torch across the wall at a shallow angle. The tiles showed scratches, old adhesive, a brown tide mark from a leak. At waist height, a thin red smear filled a chipped edge. She pointed without touching it. “Bell. Photograph that before anyone goes near it.” He brought out his phone, then lowered it. “Could have cut his hand unloading.” “His hands didn’t have cuts.” “You haven’t examined the palms.” “Then check with the scene examiner when she gets here.” Quinn crouched again. Beneath the red smear, three short arcs marked the dusty tile. Someone’s fingers had slipped down it. She looked back at Venn. His outstretched left hand carried a broad silver ring, its setting shaped like a divided square. The same square interrupted the smear. “He touched this while he was bleeding.” Bell studied the wall. “Then collapsed. Someone moved him.” “On the trolley.” “Why?” Quinn lifted the compass. Its needle aimed at the marked tile. Eva took one step forward. “Detective, don’t press that.” Quinn kept her hand clear. “What happens if I do?” “I don’t know what he set it to.” Bell’s phone clicked as he photographed the stain. Quinn examined the spaces between the tiles. Grit filled the grout on either side. Here, dust gathered against the lower edge but not inside the seam. She took a clean evidence envelope from her pocket and held its corner near the gap. The paper bent towards the wall. Bell lowered his phone. “A ventilation shaft.” “Get the station plans.” Quinn moved the envelope sideways. It straightened. At the blood-marked tile, it bent again. She looked from the severed footprint to the wheel tracks, then to Venn’s open coat. “Photograph his pockets before they move him.” “We’ve already got the robbery shots.” “Get the linings.” Bell frowned. Quinn pointed to the dead man’s waistcoat. Blood covered its front. His turned-out pocket linings showed none. “Someone searched him after the blood dried. The killing and the search weren’t the same act.” Eva gripped the strap of her coat. “The porter?” “We haven’t put the porter here when he died.” Quinn held the compass beside the stain without letting the casing touch it. “Measure the distance between those wheels. Then compare the tracks inside the clean patch with the ones leading to this wall. I want to know which way the trolley travelled.”
created_at"2026-10-05T15:34:35.99Z" 10/5/2026, 3:34:35 PM
model"openai/gpt-6.1-sol-20260929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency18707
moderation_latency(null)
generation_time100058
tokens_prompt1112
tokens_completion3335
native_tokens_prompt1009
native_tokens_completion2867
native_tokens_completion_images0
native_tokens_reasoning272
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"
usage0.030688
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791214475-kWRnOKbzsJhqRjTbkLLU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791214475-TfruHddxPpg8wYDIWBXF"
upstream_id"resp_0f1e59218ac4bd29016ac3c38c162087d1b0445561a40f8793"
provider_responses
0
endpoint_id"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id"resp_0f1e59218ac4bd29016ac3c38c162087d1b0445561a40f8793"
is_byokfalse
latency284
model_permaslug"openai/gpt-6.1-sol-20260929"
provider_name"OpenAI"
status200
total_cost0.030688
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences149
tagDensity0.013
leniency0.027
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1948
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)
84.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1948
totalAiIsms6
found
0
word"stomach"
count1
1
word"measured"
count1
2
word"shattered"
count1
3
word"pulse"
count1
4
word"etched"
count1
5
word"traced"
count1
highlights
0"stomach"
1"measured"
2"shattered"
3"pulse"
4"etched"
5"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
filterCount1
hedgeCount0
narrationSentences142
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences289
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1948
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions74
wordCount1084
uniqueNames8
maxNameDensity2.86
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn31
Sergeant1
Bell21
Kowalski1
Eva15
Venn3
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Bell"
4"Kowalski"
5"Eva"
places
0"Venn"
globalScore0.07
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.513
wordCount1948
matches
0"neither his body nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences289
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs229
mean8.51
std8.57
cv1.008
sampleLengths
033
18
22
310
421
59
65
739
88
94
1015
117
123
1321
147
155
161
179
186
1961
205
214
224
235
246
2516
262
279
286
295
3042
317
3212
333
344
358
365
3738
384
3915
402
411
4223
435
4419
453
468
4710
4815
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences142
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs179
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences289
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1089
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.01652892561983471
lyAdverbCount1
lyAdverbRatio0.0009182736455463728
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences289
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences289
mean6.74
std4.4
cv0.652
sampleLengths
014
119
28
32
410
521
69
75
85
926
108
116
122
134
1415
157
163
178
184
193
206
217
225
231
249
256
269
277
2811
2918
3016
315
324
334
345
356
3616
372
389
396
405
4111
4217
437
447
457
4612
473
484
498
57.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.35294117647058826
totalSentences289
uniqueOpeners102
24.69% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences135
matches
0"Somewhere below, water struck metal"
ratio0.007
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences135
matches
0"Her torch picked out roots"
1"She checked her worn leather"
2"She brought the beam back."
3"He nodded towards a tunnel"
4"He wore a brown coat,"
5"His right hand rested against"
6"His left arm stretched towards"
7"It measured about a metre"
8"He pointed to broken bottles"
9"His shirt cuffs remained clean."
10"She glanced at the empty"
11"She held her round glasses"
12"She kept her attention on"
13"She pushed them back with"
14"She moved three steps left."
15"She moved past the trestle"
16"She approached it."
17"She followed them towards the"
18"Its toe impression stopped mid-sole."
19"She fetched Eva from the"
ratio0.207
22.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount118
totalSentences135
matches
0"The staircase ended at a"
1"Someone had threaded copper wire"
2"Detective Harlow Quinn stopped before"
3"Detective Sergeant Bell lifted the"
4"Quinn ducked beneath the rail."
5"Her torch picked out roots"
6"She checked her worn leather"
7"Bell handed her a sheet"
8"Quinn looked from the page"
9"The stairs opened onto a"
10"Canvas awnings sagged beneath the"
11"Glass jars filled one table,"
12"Another stall displayed keys with"
13"A butcher’s scale held a"
14"She brought the beam back."
15"The material lay still."
16"Bell watched her face."
17"He nodded towards a tunnel"
18"A man lay beside a"
19"He wore a brown coat,"
ratio0.874
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences135
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount1
matches
0"A butcher’s scale held a lump of grey material that tightened when Quinn’s torch crossed it."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.3231%