Run: 2026-09-02-01M1HJGX4D4NKDK8ACBH5GDFQZ

Run Details

Duration:
2m 50s
Cost:
$0.007232
Provider:
Alibaba

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
The green raven above The Raven’s Nest buzzed a fly’s death each time the rain hit its tube. Behind the glass, maps covered the walls and old black-and-white photographs stared at the dim room. Harlow Quinn stood at the kerb with a dead umbrella, water tracing the sharp line of her jaw. Her worn leather watch on her left wrist read 23:17. The door opened. Tomás Herrera came out with a medical bag pressed to his side, his Saint Christopher medallion sliding into the mouth of his coat. Harlow moved into his line. “Tomás.” He checked the street in both directions. A taxi turned its headlamps against the puddles. The driver shouted something and kept going. “Detective Quinn.” “You’re running.” “I’m walking.” “You’re walking the wrong way.” “No.” He spun. The bag’s strap caught on the scar along his forearm, white and raised like a paper cut under oil. Harlow had seen photos of that scar in custody footage. Tomás kept his eyes on the street. “You don’t need this. The man inside can’t be touched by a warrant.” “You can.” “No. Not here.” He ran. Harlow followed. He took her along Old Compton Street and under a scaffolding wall that dripped wet paint and rust. Her shoes slapped puddles, her shoulder scraped brick, and her breath soured in the cold. He went through a gap between two buildings where the bins overflowed with soaked cardboard. She followed with a hand on her service pistol, keeping the gap between them short enough to see the curve of his back and long enough to avoid a corner if a door opened. Years of cadet drills kept her legs steady. She did not sprint into the puddles. She used the road, not the pavement, and let the taxis brake for her. Horns bloomed. A woman with shopping bags shouted from a doorway. Tomás did not look back. Harlow kept her eyes on the medallion at his collar. It swung against his shirt, a black bead against dark cotton. He cut left into a lane beside a Chinese restaurant, slid past an ice box, and went down a short flight of stairs toward a service tunnel. The tunnel mouth had no lamp. A smell came out of it, wet concrete and engine oil. Harlow drew her pistol and clicked on her torch. The beam found his back thirty metres ahead, a pale square between two dark doorways. She moved into the tunnel. The walls sweated. Pipes hissed somewhere above her head. She counted her steps and kept them quiet. This had been her job before the files got thicker, before the clique names started turning up in statements that were later withdrawn. A man with a bag and a scar on his arm. A woman who had run from the same bag and scar in Brixton. A nurse with no licence who could make wounds close on the wrong patients. She was not chasing a doctor. She was chasing a pattern. Tomás reached a locked door with a faded warning plate. He lifted a pale object against the lock. The metal groaned and opened. Harlow came close enough to see what he held. A small carved bone, stained brown at the edges. “What’s that?” “A pass.” “That’s not a ticket for the Tube.” “No.” “Open it.” He shook his head. “You’ll want a pass, Detective. You won’t have one.” Harlow kept the pistol down but ready. “I can arrest you for obstruction.” “You can try.” He slipped through the door. It did not close. The door led to a spiral stair. Harlow put the torch against the rail and looked down. Light rose in bands of violet, amber, and blue-white old fluorescent. A platform stretched out beneath the street, its white tiles cracked into a map of veins. Signs hung from the ceiling on wire: “Alchemicals,” “Secondhand Fates,” “Information at Fair Price.” People moved between stalls in wet coats and dry cloaks. A vendor with a tray of teeth called prices in a language Harlow could not place. Another stall held bottles with smoke that curled against the glass and formed shapes that looked close enough to faces. The air tasted of copper, burnt sugar, and cold stone. Tomás stood on the platform and looked up. “Down there, you are not Met.” Harlow kept her torch low. “I am the Met.” “Then you are off the road.” Her radio crackled. She lifted it. “Dispatch, Quinn.” Static answered her. “Dispatch.” No answer. Tomás turned toward the stalls. “The Veil Market. Tonight it is beneath Camden. When the moon is full, it moves.” A man near the base of the stairs noticed her torch. He wore a cap over half his face and held a jar of blue powder against his chest. “New blood?” Harlow did not answer. She watched Tomás turn toward the market stalls. The medallion disappeared into the crowd. She could see the scar on his forearm flash as he pulled the bag onto his shoulder. The street above had rules. She could call for units, set a perimeter, ask a magistrates’ court for an order, or wait for a confession that never came. She could follow a suspect who had vanished into a place with no exit sign. The first thought was protocol. The second was DS Morris. Morris had gone into a building in Canning House with a file on a clique and a phone that kept getting cut off by a voice that did not belong to anyone. Harlow kept hearing him. “It’s not a room, Quinn. It’s a mouth.” Then the fire came, and the room made a body of him. She had carried his last message like a stone in her boot for three years. It had worn the road smooth. The man with the blue powder came closer. “You don’t have a token.” “I have a warrant.” “A warrant is paper.” “Paper is enough.” “For whom?” Harlow moved the pistol into her coat and put both hands where he could see them. “Give me the pass.” He laughed, a short sound. “No.” She took two steps down. The stair rang with each one. The market noise rose to meet her, a murmur over metal trays and wet feet. The neon made the tiles sweat in pink and green. The smoke in the bottles shifted toward her as she approached the platform. Tomás waited beside a table holding folded maps of cities that had no names on ordinary maps. He held the bone token between two fingers. “Come to the right place, make the wrong kind of trouble.” Tomás kept the token out of her reach. “Then step away from that table.” “You want the man from the Nest?” “I want everyone in the Nest.” “That’s one man too many.” “Give me the token.” He closed his hand over it. “If I gave it to you, you would still go back without one.” Harlow looked past him. The market had no clear exit. The spiral stair rose behind her, a bright tube at the top. The full moon showed through a grate at the tunnel mouth, a pale half coin caught in wire. People moved under it, carrying bone tokens on strings. She counted seven tokens in five minutes. The place was not a crime scene. It was a country with its own borders. Her phone stayed blank in her pocket. The man with the blue powder had gone quiet, watching her like someone deciding whether to buy or run. Harlow checked the magazine in her pistol and snapped it home. She left the torch on the rail, pointed it at the platform, and took three steps down. The floor was warm beneath her feet, warm and wet as skin. Tomás did not run. He moved through the stalls, one shoulder brushing a rack of old keys, the other passing a bowl of red salt. Harlow stayed half a length behind him. Each stall she passed changed the air: rosemary, burnt hair, oil, river mud, the sweet metal smell of coins. A child looked up from a tray of mirrors and pointed at Harlow’s face. The mother pulled the child’s hand down and went still. Harlow kept her voice narrow. “Tomás Herrera. You are under arrest.” “Under whose law?” “Mine.” “Then you are trespassing.” He turned around a stall hung with wet cloth that did not drip. The cloth lifted in a current with no source. Harlow’s hand rose to her holster. Behind the cloth, a door stood open. Beyond it, a dark corridor breathed cold air toward the market. Tomás walked into that corridor and took one step out of her line of sight. Harlow put her boot against the threshold. The floor there was black and smooth as stone. No sign marked it. No tile numbered it. The market crowd did not look at her. They looked at their tokens, their maps, and their folded papers, and they kept their distance. She thought of the uniform outside. She thought of the report she would write if she went back up the stair with nothing. The report would wait. The suspect would not. Harlow stepped into the corridor.
created_at"2026-09-02T17:26:55.628Z" 9/2/2026, 5:26:55 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency763
moderation_latency(null)
generation_time145138
tokens_prompt1104
tokens_completion16367
native_tokens_prompt1103
native_tokens_completion15327
native_tokens_completion_images(null)
native_tokens_reasoning13344
native_tokens_cached1024
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"stop"
service_tier(null)
usage0.007231924
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788370015-sL0QtAHbGGiZiIwjq7k4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788370015-JaB6zI8v2pJgy52icyAy"
upstream_id"chatcmpl-8b7f524a-156f-9f97-88fb-f5805f6b4752"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-8b7f524a-156f-9f97-88fb-f5805f6b4752"
is_byokfalse
latency763
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.007231924
cache_discount0.000137216
upstream_inference_cost0
provider_name"Alibaba"
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)
dialogueSentences44
tagDensity0.045
leniency0.091
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1532
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)
96.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1532
totalAiIsms1
found
0
word"tracing"
count1
highlights
0"tracing"
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
narrationSentences132
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences132
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences175
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
totalWords1532
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
66.41% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1316
uniqueNames17
maxNameDensity1.67
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
Raven1
Nest1
Quinn1
Herrera1
Saint1
Christopher1
Old1
Compton1
Street1
Chinese1
Brixton1
People2
Harlow22
Tomás11
Morris2
Canning1
House1
persons
0"Raven"
1"Nest"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"People"
7"Harlow"
8"Tomás"
9"Morris"
places
0"Old"
1"Compton"
2"Street"
3"Chinese"
4"Brixton"
5"Canning"
6"House"
globalScore0.664
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1532
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences175
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs89
mean17.21
std24.57
cv1.428
sampleLengths
088
15
21
322
42
52
62
75
81
931
107
1113
122
133
142
1584
1666
1768
1894
1923
2018
212
222
237
241
252
264
279
287
296
303
319
32114
338
346
355
364
376
383
393
402
413
421
432
445
4515
4629
472
484
4931
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences132
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs211
matches
0"was not chasing"
1"was chasing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences175
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount807
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.01486988847583643
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences175
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences175
mean8.75
std6.14
cv0.702
sampleLengths
018
116
218
310
43
523
65
71
87
98
107
112
122
132
145
151
162
1719
1810
197
2013
212
223
232
242
2518
2615
2715
2834
298
307
3114
322
339
345
3510
3611
3727
386
3911
409
4115
425
433
446
458
4623
4711
4813
4914
41.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.22857142857142856
totalSentences175
uniqueOpeners40
26.25% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences127
matches
0"Then the fire came, and"
ratio0.008
94.02% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences127
matches
0"Her worn leather watch on"
1"He checked the street in"
2"He took her along Old"
3"Her shoes slapped puddles, her"
4"He went through a gap"
5"She followed with a hand"
6"She did not sprint into"
7"She used the road, not"
8"It swung against his shirt,"
9"He cut left into a"
10"She moved into the tunnel."
11"She counted her steps and"
12"She was not chasing a"
13"She was chasing a pattern."
14"He lifted a pale object"
15"He shook his head."
16"He slipped through the door."
17"It did not close."
18"Her radio crackled."
19"She lifted it."
ratio0.315
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount120
totalSentences127
matches
0"The green raven above The"
1"Harlow Quinn stood at the"
2"Her worn leather watch on"
3"The door opened."
4"Tomás Herrera came out with"
5"Harlow moved into his line."
6"He checked the street in"
7"A taxi turned its headlamps"
8"The driver shouted something and"
9"The bag’s strap caught on"
10"Harlow had seen photos of"
11"Tomás kept his eyes on"
12"He took her along Old"
13"Her shoes slapped puddles, her"
14"He went through a gap"
15"She followed with a hand"
16"Years of cadet drills kept"
17"She did not sprint into"
18"She used the road, not"
19"A woman with shopping bags"
ratio0.945
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences127
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount2
matches
0"He took her along Old Compton Street and under a scaffolding wall that dripped wet paint and rust."
1"This had been her job before the files got thicker, before the clique names started turning up in statements that were later withdrawn."
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
totalTags1
fancyCount1
fancyTags
0"She could (could)"
dialogueSentences44
tagDensity0.023
leniency0.045
rawRatio1
effectiveRatio0.045
87.4947%