Run: 2026-09-23-01M37HQ2Y112R6GHPJJ0PPX74N

Run Details

Duration:
42.7s
Cost:
$0.023370
Provider:
OpenAI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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.

Model response

AI
The man came out of the Raven’s Nest carrying a medical case that dripped blood onto the pavement. Detective Harlow Quinn saw the first dark spot beneath the green neon sign. By the time he reached the kerb, she had counted four. Rain struck the case and thinned each drop to a pink streak. “Tomás Herrera,” she called. He turned. His face registered recognition, then something worse than fear. He ran. Quinn shoved through a knot of drinkers sheltering under the awning. Herrera was already crossing the street against the lights, his dark curls flattened by rain. A taxi braked hard and sounded its horn. Quinn slapped its bonnet as she went around it and caught sight of Herrera disappearing into a narrow lane between a shuttered bakery and a hotel. Three hours earlier, an informant had told her Herrera would be at the Nest after midnight. He was a former paramedic, stripped of his licence, who still stitched up people unwilling to visit A&E. Quinn had questions about the injured man carried into the bar that evening. She had not expected Herrera to leave with evidence leaking through his bag. In the lane, water poured from a broken gutter and hit the cobbles hard enough to splash her ankles. Herrera vaulted a low chain. Quinn cleared it a pace behind. She could hear the buckles on his case knocking together as he ran. “Stop, Herrera.” He looked back but didn’t slow. The collar of his coat fell open, showing a silver medallion against his throat. Ahead, the lane narrowed between two brick walls. For a second she thought she had him. Then he turned sideways and slipped through an iron service gate standing barely wide enough for his shoulders. Quinn hit the gate with her palm. It swung inward, its hinge shrieking. On the other side lay a delivery yard full of stacked beer kegs. Herrera scrambled over them. Quinn went around and lost sight of him behind a skip. She drew her torch from her coat pocket and swept the beam across the yard. A drop of blood clung to the rim of the skip. Another marked the rain-black concrete beyond it. She followed them out onto Wardour Street. Traffic hissed past. At the far corner, Herrera shouldered through a group waiting for the night bus. Quinn ran harder. Her watch read 00:43 when she caught up enough to see his hand clearly. Blood coated his fingers, but he wasn’t holding them against a wound. He was pressing one palm to the bottom of the case. The bus pulled in between them. Quinn cut behind it, nearly colliding with a cyclist, and emerged to find Herrera turning onto Oxford Street. He had gained twenty yards. She lifted her radio. “Control, this is Quinn. Pursuing Tomás Herrera on foot, eastbound Oxford Street. Male, twenty-nine, dark coat, carrying a black medical case. Possible blood evidence.” The reply crackled under the rain. “Do you require assistance?” “Yes. Send a unit. I’m—” Herrera stopped at the top of the Underground steps and looked straight at her. Then he went down. “Entering a Tube station,” Quinn said, and followed. The first flight was bright with strip lighting. At the bottom, the ticket hall had been shut for the night; steel shutters covered the gates, and a yellow sign directed passengers to another entrance. Herrera ignored it. He crossed to a staff door beside a vending machine and drove his shoulder into it. The door opened. Quinn reached it before it closed. Beyond lay a service corridor with white tiles, a wheeled bin and a smell of wet dust. Herrera was halfway to the far end. She put a hand on the door to hold it open for the officers behind her, then remembered they were still minutes away. “Police. Stop.” Herrera halted. Quinn kept her distance. In the bright light, she could see blood seeping from the case’s lower seam. It ran over his knuckles and fell onto the tiles. “Put it down,” she said. “It’s not what you think.” “Then put it down and tell me what it is.” He glanced toward the door at the end of the corridor. A faded warning beside it read AUTHORISED PERSONNEL ONLY. Beneath the sign, someone had drawn a small white circle with six short lines radiating from it. Herrera’s breathing was ragged. “There’s someone who needs what’s inside.” “Someone in the Nest?” “No.” “Is the person alive?” He looked at her, and the pause was answer enough to make her stomach tighten. “Open the case,” she said. “I can’t. Not here.” He backed toward the door. Quinn drew her baton. “Tomás.” His eyes flicked to it. “I’m sorry.” He spun, shoved through the far door and slammed it behind him. A lock snapped into place. Quinn tried the handle. It held. She struck the plate beside it with the heel of her baton, then stepped back and kicked near the latch. Pain jolted up her leg. On the second kick, the old frame split. Beyond was a stairwell descending into darkness. Its steps were dry. She stopped at the top and listened. Herrera’s footsteps echoed below, quick and uneven. Farther off came other sounds: voices, a metallic rattle, the low rush of a train that couldn’t have been close enough to stir the air against her face. She keyed her radio. “Control, suspect entered a staff passage. I’m going down after him. Need officers at the entrance.” Static answered her. “Control?” Nothing. Quinn looked back at the broken door, the lit corridor beyond it. She could wait there. Herrera had gone underground with a bleeding case, and she had no idea where the stairs led. If she descended alone, backup might never find the right door. Morris had said much the same thing three years ago outside a locked warehouse: Wait for the others. She had waited. By the time they got inside, her partner was gone. The investigation had produced blood, damage to a wall and no explanation she could put in a report without ending her career. Quinn went down. The stairwell ended at a tiled passage. Old adverts peeled from the walls. A broken clock hung over an archway, its hands fixed at 2:17. Under it stood a woman in a yellow raincoat, though her coat and hair were perfectly dry. She watched Quinn approach. “Where did he go?” Quinn asked. The woman extended her hand. Her skin looked grey under the torchlight. “Token.” Quinn stopped. “Police.” “Token,” the woman repeated. From beyond the arch came the scrape of wheels and the murmur of a crowd. Quinn could see canvas awnings and a row of hanging lamps. Herrera pushed between two stalls. Someone caught his elbow. He shook them off and kept moving. Quinn stepped around the woman. A hand closed on her wrist. Its grip was startlingly strong. Quinn twisted free and raised her baton. The woman pointed to a shallow brass dish on a plinth beside the arch. Inside lay three small white discs. Bone, Quinn realised. One had a hole drilled through its centre. “No entry without a token,” the woman said. Herrera vanished behind a curtain of red beads. Quinn reached into her pocket and found a pound coin. She laid it in the dish. The woman didn’t look at it. Quinn heard a cry beyond the arch, brief and sharp. She moved to pass, but the woman blocked her again. At her back, the dark stairwell offered a clear route out. The crowd ahead offered none. Her radio hissed. She caught one word—“Quinn?”—before it died. She took the woman’s wrist and turned it outward. The woman gasped and stumbled against the plinth. Quinn slipped past her into the market. The abandoned platform stretched farther than her torch could reach. Stalls crowded both sides of the old tracks. A butcher’s hook held bundles of dried flowers wrapped in black thread. Glass jars contained things that shifted when her light touched them. On a table beside a handwritten sign offering lost addresses, a man counted teeth into neat rows. People turned to watch her. Some wore ordinary coats damp from the London rain. Others had covered their faces with scarves despite the warmth below ground. The air smelled of hot metal, incense and the mineral stink of standing water. Quinn kept her baton low and searched for Herrera. She spotted his dark coat near an old route map. He had stopped before a stall screened by green curtains. A woman behind the counter held out her hand. Herrera put something small and pale into it, then pushed the medical case across. Quinn started toward them. A porter crossed her path with a handcart piled with wooden crates. She slipped around the front of it. The case was open now. Herrera lifted an object from inside, wrapped in blood-soaked towels, and set it on the counter. It moved. Quinn stopped dead. The towels shifted again, not with the weak motion of an injured animal but with a slow pressure from within. A narrow point pressed against the cloth. Then another. Herrera saw her. He spoke sharply to the woman behind the stall and reached for the towels. “Leave it,” Quinn called. Conversations faltered along the platform. The porter stopped pushing his cart. The woman behind the counter drew back one corner of the cloth. Quinn saw pale skin, a row of stitches and a human hand no larger than a child’s. Its fingers opened against the wood. Across the back of it ran a dark mark shaped like the little sun drawn on the service door. The hand turned toward her voice. Herrera grabbed the towel and covered it. “Detective, please.” For a moment she was back in the warehouse corridor, looking at the same mark burned into plaster. Morris had followed it into the dark. She had spent three years trying to find out who put it there. Quinn walked toward the stall. Around her, the crowd pulled aside. Herrera looked past her toward the entrance, measuring the distance. She held his gaze and saw that he was as afraid of the thing under the towel as he was of her. “Hands where I can see them,” she said. He lifted his bloodied palms. The towel shifted between them, and something beneath it tapped once against the counter. Above the market, faint through layers of brick and earth, a police siren passed without slowing.
created_at"2026-09-23T16:31:24.11Z" 9/23/2026, 4:31:24 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2649
moderation_latency(null)
generation_time42676
tokens_prompt888
tokens_completion2604
native_tokens_prompt810
native_tokens_completion2175
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.02337
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181084-l5y34knr8wLssuCl3PGq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181084-IyFk2TSZcYZRSTzDUWQy"
upstream_id"resp_0feb7bef4d753291016ab3fedc395087d1a34e8cb89cf20626"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0feb7bef4d753291016ab3fedc395087d1a34e8cb89cf20626"
is_byokfalse
latency717
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.02337
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.31
leniency0.621
rawRatio0
effectiveRatio0
94.27% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1746
totalAiIsmAdverbs2
found
0
adverb"perfectly"
count1
1
adverb"sharply"
count1
highlights
0"perfectly"
1"sharply"
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)
85.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1746
totalAiIsms5
found
0
word"stomach"
count1
1
word"flicked"
count1
2
word"footsteps"
count1
3
word"echoed"
count1
4
word"warmth"
count1
highlights
0"stomach"
1"flicked"
2"footsteps"
3"echoed"
4"warmth"
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
narrationSentences178
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences178
filterMatches
0"watch"
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences197
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1746
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount1621
uniqueNames12
maxNameDensity2.04
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest2
Harlow1
Quinn33
Herrera23
Wardour1
Street2
Oxford1
Underground1
Wait1
London1
Conversations1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Herrera"
4"Underground"
5"Conversations"
places
0"Wardour"
1"Street"
2"Oxford"
3"London"
globalScore0.482
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences121
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.573
wordCount1746
matches
0"not with the weak motion of an injured animal but with a slow pressure from within"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences197
matches
0"saw that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs87
mean20.07
std17.94
cv0.894
sampleLengths
018
136
24
311
42
560
660
743
82
954
1013
1143
1218
1327
1437
156
1627
1724
1810
195
2018
218
2253
233
2453
252
262
2728
285
295
3010
3137
3210
334
341
354
3615
375
384
399
401
417
4217
4339
4418
4535
4620
473
481
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences178
matches
0"been shut"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs297
matches
0"was already crossing"
1"wasn’t holding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences2
totalSentences197
ratio0.01
matches
0"At the bottom, the ticket hall had been shut for the night; steel shutters covered the gates, and a yellow sign directed passengers to another entrance."
1"She caught one word—“Quinn?”—before it died."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1623
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.021565003080714726
lyAdverbCount8
lyAdverbRatio0.004929143561306223
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences197
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences197
mean8.86
std5.63
cv0.635
sampleLengths
018
113
211
312
44
52
69
72
811
915
108
1126
1216
1318
1413
1513
1619
175
186
1913
202
216
2214
238
248
2518
267
276
2813
294
3011
3115
3211
337
347
353
3614
373
3814
3912
4011
416
4218
435
444
4524
466
474
485
4914
53.13% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3248730964467005
totalSentences197
uniqueOpeners64
40.65% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences164
matches
0"Then he turned sideways and"
1"Then he went down."
ratio0.012
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount43
totalSentences164
matches
0"His face registered recognition, then"
1"He was a former paramedic,"
2"She had not expected Herrera"
3"She could hear the buckles"
4"He looked back but didn’t"
5"It swung inward, its hinge"
6"She drew her torch from"
7"She followed them out onto"
8"Her watch read 00:43 when"
9"He was pressing one palm"
10"He had gained twenty yards."
11"She lifted her radio."
12"He crossed to a staff"
13"She put a hand on"
14"It ran over his knuckles"
15"He glanced toward the door"
16"He looked at her, and"
17"He backed toward the door."
18"His eyes flicked to it."
19"He spun, shoved through the"
ratio0.262
51.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount134
totalSentences164
matches
0"The man came out of"
1"Detective Harlow Quinn saw the"
2"Rain struck the case and"
3"His face registered recognition, then"
4"Quinn shoved through a knot"
5"Herrera was already crossing the"
6"A taxi braked hard and"
7"Quinn slapped its bonnet as"
8"He was a former paramedic,"
9"Quinn had questions about the"
10"She had not expected Herrera"
11"Herrera vaulted a low chain."
12"Quinn cleared it a pace"
13"She could hear the buckles"
14"He looked back but didn’t"
15"The collar of his coat"
16"Quinn hit the gate with"
17"It swung inward, its hinge"
18"Herrera scrambled over them."
19"Quinn went around and lost"
ratio0.817
91.46% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences164
matches
0"By the time he reached"
1"If she descended alone, backup"
2"By the time they got"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences74
technicalSentenceCount2
matches
0"Farther off came other sounds: voices, a metallic rattle, the low rush of a train that couldn’t have been close enough to stir the air against her face."
1"Glass jars contained things that shifted when her light touched them."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount1
fancyTags
0"the woman repeated (repeat)"
dialogueSentences29
tagDensity0.31
leniency0.621
rawRatio0.111
effectiveRatio0.069
90.5554%