Run: 2026-07-09-01KX4026HV8WE3NX0Y1491CF9J

Run Details

Duration:
11.5s
Cost:
$0.011820
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
Rain hammered Soho hard enough to erase footprints and blur faces, but Detective Harlow Quinn had never trusted weather to do a suspect’s work for him. The man ahead of her cut through the traffic lights on Shaftesbury Avenue, slipping between black cabs and delivery vans with the quick, loose gait of someone accustomed to being chased. He wore a charcoal coat that flared behind him like a torn flag. In his right hand, he clutched a narrow wooden case. “Stop!” Quinn shouted. The suspect glanced back. For one instant, the streetlamps caught his face: pale, narrow, eyes bright with panic. Then a bus roared between them. Quinn swore and drove forward. Her boots struck the flooded pavement. Her breath came measured despite the cold tearing at her lungs. Eighteen years in the Metropolitan Police had taught her how to spend energy. Panic was a luxury. So was doubt. She cleared the bus’s rear wheels as they hissed through a gutter and saw the suspect turn into an alley beside a shuttered restaurant. Quinn followed. The alley stank of wet brick, fryer grease, and the sour rot of overflowing bins. At its far end, green neon shivered through the rain. THE RAVEN’S NEST. The bar’s sign buzzed above a narrow entrance, its reflected light bleeding across the puddles. Quinn had been inside once, six months ago, asking questions about a string of disappearances that had never made the papers. The place had been dim and quiet, walls crowded with old maps and black-and-white photographs. The bartender had smiled too much. Everyone had lied. The suspect shoved through the door. Quinn reached it a heartbeat later. Warmth and whiskey-smoke rolled over her. Music thudded from somewhere behind the bar, a low bass line that seemed to vibrate in her teeth. Patrons turned to look at her, then away with unnatural speed. “Where did he go?” No one answered. At the far end of the room, a bookshelf stood between two framed photographs of London bridges. Quinn saw it move. Not much. A fractional tremor as the suspect disappeared behind it. She crossed the room. A broad-shouldered man in a white shirt stepped into her path. “Private area.” “Metropolitan Police.” Quinn displayed her warrant card without slowing. “Move.” His eyes dropped to the card. His expression did not change. Quinn shoved past him. The bookshelf swung inward under her hand, revealing a narrow stone passage lit by blue candles. The music vanished behind her. The air tasted of metal and damp earth. She drew her pistol. The passage ended at a steep staircase descending into darkness. Somewhere below, the suspect’s shoes slapped stone. Quinn went after him. The stairwell twisted beneath the bar, plunging far deeper than the foundations allowed. Water trickled down the walls. The blue candles burned without flickering, though a cold draft pressed upward around Quinn’s knees. She descended quickly, one hand on the rail, the other holding her weapon low. Her leather watch caught the candlelight. 23:47. At the bottom, she found a door standing open. Beyond it stretched an abandoned Tube platform. Quinn stopped. The station lay beneath Camden, according to the weathered enamel sign bolted to the tiled wall. No line name. No route map. Just a faded black symbol that made her eyes ache when she looked directly at it. The platform was crowded. Not with commuters. With figures in hooded coats, veiled masks, stitched leather, and clothes that belonged to other centuries. Stalls had been erected along the disused tracks. Their tables sagged beneath stoppered bottles, silver knives, bundles of dried herbs, glass jars containing things that moved. A woman with antlers branching from her forehead argued over a brass cage. A boy no older than twelve sold black candles from a suitcase. Somewhere in the gloom, something screamed once and was silenced. The suspect ran along the platform. Quinn’s mind rejected what her eyes supplied. It searched for costumes, a film set, an elaborate criminal enterprise. She had seen people manufacture the impossible before. Drugs. Gas. Mass hysteria. But the market breathed around her. A vendor looked up from a tray of teeth and smiled with a mouth full of needles. Quinn lifted her pistol. The nearest conversations died. “Police!” she shouted. “Stand clear.” No one moved. The suspect vaulted a stack of crates and vanished between two stalls. Quinn chased him. A hand caught her coat. She twisted, drove her elbow backward, and heard cartilage crunch. The hooded figure released her with a hiss. Quinn kept moving, shoulder burning. The platform narrowed toward a rusted service tunnel. Her suspect was already there, scrambling over a locked gate. “Stop!” He turned. The wooden case slipped from his hand and struck the concrete. The latch broke. Inside lay a bundle of thin glass vials packed in black wool. Each vial held a dark liquid that crawled against the glass as if it were alive. Quinn slowed. The suspect saw the hesitation and smiled. “You don’t know where you are,” he said. “On your knees.” “You should go back upstairs.” “Now.” He reached into his coat. Quinn raised her pistol. “Don’t.” His hand emerged holding a small white token. A bone, carved into the shape of a human finger. The crowd behind Quinn shifted. Not closer. Away. The suspect pressed the token into a metal plate beside the gate. The tunnel wall opened. Not a door. The bricks softened, sagging inward like wet clay, revealing a passage that glowed with amber light. Heat poured from it, carrying scents of smoke, cinnamon, and something rotten. The suspect stepped backward into the opening. Quinn could arrest him. She had his face, his contraband, the exact location. She could call for armed support and seal the station. She could leave, climb the stairs, return with uniforms and warrants and the solid machinery of the law. But she had made that calculation three years ago. She had stood outside a warehouse while DS Morris went in alone. She had heard him call her name over the radio, voice flat with confusion. Then the transmission had filled with static. When they found the warehouse, there had been no body, no blood, no sign he had ever existed except his wedding ring fused into the concrete. Quinn had spent three years being told she had missed something ordinary. She had never believed it. The suspect turned to run. Quinn crossed the last distance, seized his coat, and dragged him back through the opening. He struck her with the wooden case. Pain burst across her temple. She stumbled, vision flashing white. He lunged for the token. Quinn caught his wrist and drove him into the tunnel wall. The bone token clattered away. “Who are you?” she demanded. He grinned through blood. “Ask the market.” “Who took Morris?” The smile vanished. That was enough. Quinn slammed his face into the brick. Once. Twice. He sagged, stunned but breathing. She yanked his arms behind him and snapped on cuffs. Around them, the market had gone utterly silent. Then a bell rang. Every stallholder turned toward the tunnel entrance. Quinn looked back. A tall woman in a coat of black feathers stood at the edge of the platform. Her face was hidden behind a porcelain mask painted with a single red eye. In one gloved hand, she held the bone token. “You have no invitation,” the woman said. Quinn’s pistol was still in her hand. She aimed it at the mask. “I’m not here to shop.” “No,” the woman said. “You are here because the dead have begun knocking.” Behind Quinn, the suspect stirred. She tightened her grip on his collar. “You know about Morris.” The masked woman tilted her head. “Everyone knows about the lost detective.” Quinn felt the old wound open inside her, clean and deep. The woman extended the token. “Follow me, Detective, and you may hear what became of him.” The market waited. So did the tunnel, breathing amber heat into the abandoned station. Quinn looked toward the stairs. London lay above: rain, traffic, uniforms, evidence bags, procedures. The world she understood. Then she looked at the suspect’s pale face and the black liquid moving inside the broken vials. He had run into this place because he believed it would protect him. Quinn shoved him toward the masked woman. “Take him.” The woman did not move. “And you?” Quinn stepped over the threshold. The amber light climbed her boots, her coat, her hands. Behind her, the bricks began to close. She drew one breath of London air before the market swallowed it. “Me,” she said, “I’m following.”
created_at"2026-07-09T17:50:59.65Z" 7/9/2026, 5:50:59 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency337
moderation_latency(null)
generation_time10969
tokens_prompt914
tokens_completion2362
native_tokens_prompt810
native_tokens_completion1835
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"
usage0.01182
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_09a718b79983f36f016a4fdf83b4fc81938040d7ee23e97297"
is_byokfalse
latency208
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619459-5tNSbPfXR8RVXsg7YPAI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619459-Z0w7QvoBm1RLwjFlLeFl"
upstream_id"resp_09a718b79983f36f016a4fdf83b4fc81938040d7ee23e97297"
total_cost0.01182
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.308
leniency0.615
rawRatio0
effectiveRatio0
93.04% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1436
totalAiIsmAdverbs2
found
0
adverb"quickly"
count1
1
adverb"utterly"
count1
highlights
0"quickly"
1"utterly"
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)
86.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1436
totalAiIsms4
found
0
word"measured"
count1
1
word"warmth"
count1
2
word"gloom"
count1
3
word"porcelain"
count1
highlights
0"measured"
1"warmth"
2"gloom"
3"porcelain"
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
emotionTells2
narrationSentences168
matches
0"t with panic"
1"t with confusion"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences168
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences186
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1436
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
35.19% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1350
uniqueNames12
maxNameDensity2.3
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Detective1
Harlow1
Quinn31
Shaftesbury1
Avenue1
Metropolitan1
Police1
London3
Tube1
Camden1
Morris1
persons
0"Harlow"
1"Quinn"
2"Police"
3"Camden"
4"Morris"
places
0"Soho"
1"Shaftesbury"
2"Avenue"
3"Metropolitan"
4"London"
globalScore0.352
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount1
matches
0"line that seemed to vibrate in her teeth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1436
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences186
matches
0"made that calculation"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs109
mean13.17
std13.03
cv0.989
sampleLengths
026
154
23
34
414
56
642
726
825
93
1060
116
126
1335
144
153
1632
174
1813
1910
2011
214
2229
234
2410
257
264
2733
2821
299
307
312
3238
334
3445
3535
366
3730
386
3917
404
414
425
433
4412
453
4628
4718
481
4913
94.82% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences168
matches
0"being chased"
1"been erected"
2"was silenced"
3"being told"
4"was hidden"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs246
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences186
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1354
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.022156573116691284
lyAdverbCount3
lyAdverbRatio0.0022156573116691287
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences186
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences186
mean7.72
std5.35
cv0.693
sampleLengths
026
131
213
310
43
54
614
76
85
96
1011
1113
124
133
1424
152
1615
1710
183
1915
2021
2115
226
233
246
256
266
2718
2811
294
303
3117
324
332
349
354
3611
372
389
391
406
415
424
4316
445
458
464
4710
487
494
50.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.34594594594594597
totalSentences185
uniqueOpeners64
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences150
matches
0"Then a bus roared between"
1"Somewhere below, the suspect’s shoes"
2"Just a faded black symbol"
3"Somewhere in the gloom, something"
4"Then the transmission had filled"
5"Then a bell rang."
6"Then she looked at the"
ratio0.047
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences150
matches
0"He wore a charcoal coat"
1"Her boots struck the flooded"
2"Her breath came measured despite"
3"She cleared the bus’s rear"
4"She crossed the room."
5"His eyes dropped to the"
6"His expression did not change."
7"She drew her pistol."
8"She descended quickly, one hand"
9"Her leather watch caught the"
10"Their tables sagged beneath stoppered"
11"It searched for costumes, a"
12"She had seen people manufacture"
13"She twisted, drove her elbow"
14"Her suspect was already there,"
15"He reached into his coat."
16"His hand emerged holding a"
17"She had his face, his"
18"She could call for armed"
19"She could leave, climb the"
ratio0.227
66.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount118
totalSentences150
matches
0"The man ahead of her"
1"He wore a charcoal coat"
2"The suspect glanced back."
3"Quinn swore and drove forward."
4"Her boots struck the flooded"
5"Her breath came measured despite"
6"Panic was a luxury."
7"She cleared the bus’s rear"
8"The alley stank of wet"
9"THE RAVEN’S NEST."
10"The bar’s sign buzzed above"
11"Quinn had been inside once,"
12"The place had been dim"
13"The bartender had smiled too"
14"Everyone had lied."
15"The suspect shoved through the"
16"Quinn reached it a heartbeat"
17"Warmth and whiskey-smoke rolled over"
18"Music thudded from somewhere behind"
19"Patrons turned to look at"
ratio0.787
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences150
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount3
matches
0"Quinn had been inside once, six months ago, asking questions about a string of disappearances that had never made the papers."
1"Their tables sagged beneath stoppered bottles, silver knives, bundles of dried herbs, glass jars containing things that moved."
2"The bricks softened, sagging inward like wet clay, revealing a passage that glowed with amber light."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
34.62% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount3
fancyTags
0"Quinn shouted (shout)"
1"she shouted (shout)"
2"she demanded (demand)"
dialogueSentences26
tagDensity0.269
leniency0.538
rawRatio0.429
effectiveRatio0.231
88.7009%