Run: 2026-07-09-01KX41CDFQAK85QEKET42Q51VJ

Run Details

Duration:
13.9s
Cost:
$0.013098
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="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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain polished Soho into a smear of colour and light. Detective Harlow Quinn drove through the crowd with one hand against the brick walls, her boots striking puddles hard enough to soak the cuffs of her trousers. The suspect slipped between two tourists beneath a black umbrella, shoulders hunched, dark coat flaring behind him. “Stop!” He glanced back. Quinn caught the flash of his face beneath the hood: narrow mouth, bruised cheek, eyes fixed on the green neon sign above The Raven’s Nest. She pushed harder. A taxi horn blared. Someone swore as Quinn shouldered past. Her closely cropped salt-and-pepper hair clung to her scalp, rain running from her temples to the sharp line of her jaw. Her left wrist snapped up as she checked her watch. Twenty-three seconds since he had bolted from the alley. The watch ticked beneath its worn leather strap. Ahead, the suspect reached the bar’s door. Green light spilled over his boots. He yanked the handle. Quinn crossed the road without looking. A motorbike clipped her coat. The rider shouted. She caught herself against a parked van, pain sparking through her palm, then sprinted the last few yards. The suspect vanished inside. Quinn entered behind him. The Raven’s Nest swallowed the rain with a low groan of music, wet wool, and old wood. Maps covered the walls between black-and-white photographs: coastlines, city plans, rail routes that no longer existed. Bottles glimmered behind the bar. A handful of patrons turned towards the door, then returned to their drinks with the careful speed of people who had seen enough trouble to recognise its shape. The suspect cut left. Quinn followed. “Out of my way.” A broad man stepped from beside a table. His hand rested against the front of his jacket. Quinn stopped inches from him. “Move.” The man smiled without warmth. “You’ve brought the weather in.” Behind him, the suspect shoved through a cluster of chairs. Glass shattered. A woman cursed. Quinn drew her warrant card, flashed it, and stepped around the man. “Metropolitan Police.” The room changed. It did not empty. Nobody screamed. Conversations simply thinned until every word seemed to hang beneath the ceiling. Quinn knew that silence. It belonged to people with something to hide and enough practice to conceal it. The suspect reached the rear wall. A bookshelf stood there, crowded with cracked atlases and dust-heavy novels. He grabbed a brass rail disguised as a book spine and pulled. The shelf swung inward. Quinn saw a narrow black passage beyond it. The suspect glanced back once, then disappeared. Quinn reached the opening as the shelf began to close. She jammed her shoulder into the gap. Wood struck her ribs. The hidden mechanism groaned. A hand seized her coat from behind. Quinn drove her elbow back. Bone met flesh. The grip loosened. She forced herself through. The bookshelf swung shut behind her, cutting off the bar’s amber light. Darkness pressed against her eyes. Somewhere ahead, shoes hammered down stone steps. Quinn switched on the small torch clipped beneath her coat. Its beam found a stairwell dropping into the earth, walls sweating moisture. Water ran in thin black streams between the steps. She descended. The air sharpened as she went. It smelled of rust, wet concrete, and something bitter that clung to the back of her throat. Her boots slipped on the third step. She caught the rail and looked down. The stairwell plunged farther than the building above allowed. “Police!” Her voice struck the walls and returned in broken pieces. “Stop where you are.” The suspect’s footsteps raced below. Quinn followed. At the bottom, a tunnel opened beneath a cracked tiled arch. Old London Underground markings showed through layers of grime. A faded station name curved along the wall, half-hidden beneath black paint. Camden. The tunnel stretched ahead, lit by blue lamps that hummed behind wire cages. Figures moved through the gloom. Some wore coats and trainers. Others had horns, antlers, glistening eyes, or hands wrapped in bandages that shifted beneath the fabric. Quinn stopped at the threshold. The suspect ran into the crowd. A woman with silver teeth watched him pass. A child-sized figure sat on a crate, counting coins made from dark glass. A stallholder displayed knives that breathed steam along their blades. Quinn lowered her torch. The station had no trains. No tracks. The old platform had become a market. Canvas awnings hung from the ceiling. Lanterns burned with green and violet flames. Tables groaned beneath jars, phials, chained books, bundles of dried plants, and objects Quinn refused to examine for more than a second at a time. A man behind a stall held up a bottle containing a tiny storm cloud. “Bone token,” he called. “No entry without a token.” Quinn stepped onto the platform. “Police.” The stallholder’s grin widened. “That wasn’t a token.” Behind her, the stairwell stood empty. The bar was gone behind brick, rain, and a crowd that would not help her. The suspect had vanished into unfamiliar territory. Every face had turned towards her. Her hand settled near her holster. The sensible choice was to call for backup. The sensible choice was to leave, seal the entrance, and bring armed officers with warrants and equipment capable of dealing with whatever this place sold. But she had spent three years making sensible choices while DS Morris remained dead. His final case file sat in a locked drawer at home. Twelve missing persons. No bodies. No witnesses. One photograph of a doorway beneath a station that did not appear on any map. The same green light had glowed in the photograph. Quinn looked into the market. At the far end of the platform, the suspect shoved through a curtain of red beads. A pale hand caught the curtain behind him. Someone laughed. Quinn removed her badge from her belt and held it at her side. A tall vendor approached. His face looked human until he smiled. Then his teeth separated into thin, overlapping rows. “You want to walk in there?” he asked. “I want the man who just ran through your market.” “You want many things.” “I’m not asking.” The vendor’s gaze dropped to her empty hands. “Then you won’t pass.” Quinn studied the stalls. Bone tokens hung from chains around several customers’ necks. Some were polished white. Others had been carved with symbols that shifted when she looked at them. “Where do I get one?” “From the dead.” “Useful.” “Most things worth having are.” A sharp crack split the platform. One of the market lamps burst. Darkness rolled through the nearest stalls. People shouted. Something hissed beneath a table. Quinn drew her pistol. The crowd scattered. At the far end, the red bead curtain swayed. The suspect had used the distraction. Quinn ran. A vendor thrust an arm across her path. Quinn ducked under it. Fingers brushed her shoulder, cold enough to numb the skin. She fired a warning shot into the ceiling. The report punched through the station. Every flame went out. For one breath, the market became a black, breathing mass. Then blue light returned in strips. The vendor stared at the pistol. “You brought iron.” “I brought paperwork too.” She shoved past him. The platform narrowed between stalls. A glass jar smashed beneath her boot. Something wet struck her ankle and burrowed into the fabric of her trouser leg. Quinn stopped, grabbed the thing, and tore it free. It writhed like a strip of muscle, its tiny mouth snapping at her fingers. She threw it beneath a stall. A man with a scarred throat leaned over a table of silver bullets. “You’re making enemies.” “I’ve had worse nights.” “Not in this market.” Quinn reached the red curtain. The suspect had left a trail: blood on the tiles, bright beneath the blue lamps. A smear led into a service tunnel marked STAFF ONLY. She pushed through. The market noise dropped behind her. The tunnel smelled of standing water and old electricity. Pipes ran along the ceiling, wrapped in wire and cloth. Some whispered. One knocked from inside. Quinn kept her pistol raised. Ahead, the suspect stumbled. He pressed himself against the wall, one hand clamped over his side. Blood leaked between his fingers. His hood had fallen back, exposing the bruised cheek and narrow face she had seen above ground. He held something in his other hand. A bone token. Quinn advanced. “Put it down.” His laugh came rough and breathless. “You don’t know where you are.” “I know you’re under arrest.” “You think this is a station?” “It was.” “No.” He lifted the token. Symbols crawled across its surface. “It’s a door.” The tunnel behind Quinn filled with footsteps. Not one person. Many. She glanced back. Blue light flickered at the far entrance. Shapes gathered beyond the red curtain, blocking the route to the market. The vendor with the layered teeth stood at their centre. The suspect watched her make the calculation. “Hand me the token,” Quinn said. “You came down here without one.” “I came down here with a gun.” “That won’t help where we’re going.” The footsteps drew closer. Quinn fixed her gaze on the bone token. Its surface looked carved, but the grooves flexed like tendons. The suspect’s blood had darkened one edge. She had no warrant for this place. No map. No backup. No idea what waited beyond the door. The tunnel lights died again. Something scraped along the wall behind her. Quinn tightened her grip on the pistol. “Open it,” she ordered. “Now.”
created_at"2026-07-09T18:14:03.011Z" 7/9/2026, 6:14:03 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency512
moderation_latency(null)
generation_time13369
tokens_prompt1140
tokens_completion2647
native_tokens_prompt984
native_tokens_completion2019
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"
usage0.013098
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0fe73d0b8e3f4bf5016a4fe4eb25fc819686ab815c8dbacc12"
is_byokfalse
latency236
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-1783620843-ZTyUHyDhKMqZLTy007wV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620843-WLbTZfUCDMGrfS501xyo"
upstream_id"resp_0fe73d0b8e3f4bf5016a4fe4eb25fc819686ab815c8dbacc12"
total_cost0.013098
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences38
tagDensity0.184
leniency0.368
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1585
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)
68.45% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1585
totalAiIsms10
found
0
word"warmth"
count1
1
word"shattered"
count1
2
word"silence"
count1
3
word"footsteps"
count3
4
word"raced"
count1
5
word"gloom"
count1
6
word"glistening"
count1
7
word"flickered"
count1
highlights
0"warmth"
1"shattered"
2"silence"
3"footsteps"
4"raced"
5"gloom"
6"glistening"
7"flickered"
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
narrationSentences191
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences191
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)
analyzedSentences223
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
totalWords1585
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
39.04% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1442
uniqueNames10
maxNameDensity2.22
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn32
Raven2
Nest2
London1
Underground1
Morris1
Symbols1
One3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Morris"
5"Symbols"
6"One"
places
0"Soho"
1"London"
globalScore0.39
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences113
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1585
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences223
matches
0"knew that silence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs129
mean12.29
std12.47
cv1.015
sampleLengths
010
144
21
33
425
53
641
79
88
917
106
1126
124
134
1466
154
162
174
1817
196
2010
2115
2212
232
243
2536
266
2723
284
298
307
3125
327
3311
344
3512
365
377
3831
392
4037
419
4215
435
442
4532
461
4739
485
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences191
matches
0"was gone"
1"been carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs271
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences223
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1039
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.016361886429258902
lyAdverbCount2
lyAdverbRatio0.0019249278152069298
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences223
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences223
mean7.11
std4.84
cv0.681
sampleLengths
010
127
217
31
43
525
63
74
86
921
1010
119
128
137
146
154
166
175
183
1918
204
214
2217
2316
245
2528
264
272
284
298
309
315
321
335
345
3510
362
373
3812
392
403
414
422
4312
444
4514
466
4711
4812
494
46.34% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.30493273542600896
totalSentences223
uniqueOpeners68
58.82% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences170
matches
0"Somewhere ahead, shoes hammered down"
1"Then his teeth separated into"
2"Then blue light returned in"
ratio0.018
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences170
matches
0"He glanced back."
1"She pushed harder."
2"Her closely cropped salt-and-pepper hair"
3"Her left wrist snapped up"
4"He yanked the handle."
5"She caught herself against a"
6"His hand rested against the"
7"It did not empty."
8"It belonged to people with"
9"He grabbed a brass rail"
10"She jammed her shoulder into"
11"She forced herself through."
12"Its beam found a stairwell"
13"It smelled of rust, wet"
14"Her boots slipped on the"
15"She caught the rail and"
16"Her voice struck the walls"
17"Her hand settled near her"
18"His final case file sat"
19"His face looked human until"
ratio0.194
27.65% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount147
totalSentences170
matches
0"Detective Harlow Quinn drove through"
1"The suspect slipped between two"
2"He glanced back."
3"Quinn caught the flash of"
4"She pushed harder."
5"A taxi horn blared."
6"Someone swore as Quinn shouldered"
7"Her closely cropped salt-and-pepper hair"
8"Her left wrist snapped up"
9"The watch ticked beneath its"
10"He yanked the handle."
11"Quinn crossed the road without"
12"A motorbike clipped her coat."
13"The rider shouted."
14"She caught herself against a"
15"The suspect vanished inside."
16"Quinn entered behind him."
17"The Raven’s Nest swallowed the"
18"Maps covered the walls between"
19"Bottles glimmered behind the bar."
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences170
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount3
matches
0"A handful of patrons turned towards the door, then returned to their drinks with the careful speed of people who had seen enough trouble to recognise its shape."
1"The tunnel stretched ahead, lit by blue lamps that hummed behind wire cages."
2"A stallholder displayed knives that breathed steam along their blades."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she ordered (order)"
dialogueSentences38
tagDensity0.105
leniency0.211
rawRatio0.25
effectiveRatio0.053
88.0102%