Run: 2026-09-03-01M1KBFJ446M4S4X1QDWH509Y2

Run Details

Duration:
2m 2s
Cost:
$0.002817
Provider:
Reka

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 hammered the pavement in sheets, turning Soho's alleys into black mirrors. Detective Harlow Quinn hit the wet cobbles at a sprint, her leather-soled brogues sliding on slick stone. She'd left the unmarked car two blocks back, trapped behind a delivery lorry that had materialised out of the downpour like a bad omen. Ahead, Tomás Herrera ran. He moved like a man who knew these streets the way other men knew their own kitchens. He cut left through a gap between a shuttered kebab shop and a betting office, his dark curls plastered to his skull, the Saint Christopher medallion bouncing against his chest. Quinn caught the glint of the scar along his forearm as he shoved a metal bin into her path. She hurdled it. Landed wrong. Her ankle screamed. "Stop running, Herrera!" The words came out ragged, steam curling from her mouth in the cold. He didn't stop. He glanced back once, and in the sodium glare of a streetlamp she saw his face—not panicked, not guilty. Scared. The kind of scared that came from something worse than handcuffs. Quinn had been watching him for three weeks. Tomás Herrera, former paramedic, struck off the register for treating patients the NHS didn't want to acknowledge existed. The clique's back-alley doctor. She'd seen him slip into the Raven's Nest at odd hours, seen him emerge with blood on his cuffs that wasn't his own. Tonight, she'd decided to bring him in. He'd decided to run. They burst out of the alley onto Charing Cross Road. A taxi blared its horn, swerved, sprayed a curtain of gutter water over Quinn's coat. She didn't break stride. Herrera was heading north, and that was wrong. His flat sat in Elephant and Castle. The Raven's Nest lay behind them. North meant Camden. North meant the underground. Quinn's chest tightened. She'd read the old case files. Disappearances around Camden, people who walked into abandoned stations and never walked out. DS Morris had been working a similar case when he died. The official report said a fall. Quinn had never believed it. Herrera reached the shuttered entrance of the old Mornington Crescent service tunnel, the one the transport authority had sealed off in the eighties. He didn't slow. He pulled something from his pocket—a small white object, bone—and pressed it to a rusted iron door that had no business opening. It opened. A wash of green light spilled out, thick with the smell of damp earth and incense. Quinn skidded to a halt ten feet from the threshold. Herrera paused at the top of the stairs, turned, and looked at her. His breath came in clouds. "You don't want to follow me, Detective." "Come back here and tell me that." He shook his head. The medallion caught the green light. "You don't understand what you're chasing. I'm not the one you're after." "Then talk to me. Explain it." "I can't. Not here." He looked down the stairs, then back at her. "But I can tell you this—your partner. Morris. He was asking the same questions you're asking." Quinn's blood went cold. The rain hammered her shoulders. "What do you know about Morris?" "More than you do." He stepped backward onto the stairs. "And less than I should. If you want the truth, it's down here. But it'll cost you more than a badge." The iron door began to swing shut. Quinn lunged forward, caught it with her shoulder, the rusted metal grinding against the frame. Herrera was already descending, his footsteps echoing in the green dark. She stood at the threshold. Below her, the stairwell opened into a cavern of light and noise—a market, sprawling through the bones of an abandoned Tube station. Stalls draped in velvet and chains. Figures that moved wrong, that had too many shadows or not enough. The air hummed with something that wasn't quite sound. A woman with skin like old parchment sold jars of amber liquid. A man with too many teeth weighed out handfuls of dried herbs that smoked without burning. The green light came from lanterns hung on rusted hooks, and beneath it all, the tracks of a dead railway glinted like wet coal. Herrera's silhouette disappeared into the crowd. Quinn's hand went to her coat pocket. Her fingers closed around a small bone token, smooth and warm despite the cold. She'd taken it from Morris's effects three years ago, kept it against every regulation, every instinct. She'd never known what it was. Now she did. The door pressed against her shoulder, heavy, insistent. Behind her, London rain and sirens. In front of her, the Veil Market and the man who knew the truth about Morris. She thought about Morris. The way he'd looked the last time she saw him, standing in the rain outside the Raven's Nest, telling her he'd found something. Something big. Something that would crack the whole case open. She'd told him to wait for backup. He'd smiled and said he'd be fine. Three years. Three years of official reports and closed files and the quiet understanding that she was the only one who still cared. Three years of chasing shadows that didn't cast shadows of their own. The token was warm in her palm. Morris had held this same token. She'd found it clutched in his hand at the bottom of a stairwell, the official report calling it a random piece of debris. The pathologist had noted the unusual wear pattern. Nobody had asked what it opened. Quinn looked down the stairs. The market hummed and shifted, a living thing. Somewhere in that green dark, Herrera was slipping away, and with him the answers she'd chased for three years. Her radio crackled. Dispatch, asking for her location. She thumbed it off. The door groaned against her shoulder, trying to close. She could step back, let it shut, call in a proper unit, do this by the book. The book had failed her before. The book had buried Morris. The token fit into a slot she hadn't noticed, a keyhole shaped like a knucklebone. The lock turned with a sound like a jaw cracking. Quinn stepped through. The door slammed shut behind her, sealing with a final, heavy clunk. The green light swallowed her whole. The rain and the sirens and the London she knew vanished, replaced by the hum of the market, the smell of incense and old earth, and the weight of a decision she couldn't take back. Somewhere ahead, Herrera was running. Quinn started walking.
created_at"2026-09-03T10:01:55.621Z" 9/3/2026, 10:01:55 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency622
moderation_latency(null)
generation_time121626
tokens_prompt1104
tokens_completion4581
native_tokens_prompt1082
native_tokens_completion4088
native_tokens_completion_images(null)
native_tokens_reasoning2992
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"stop"
service_tier(null)
usage0.0028171
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429715-Mkj9bpx66EfGsNXuGv7M"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429715-KrNNFobaXRyYguyuaE15"
upstream_id"d4676c6457a34be0b48f9264a6b8c32e"
provider_responses
0
endpoint_id"4d5286fc-8f37-40c2-a518-e1ae100d45fc"
is_byokfalse
latency118
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Wafer"
status429
1
endpoint_id"497727f1-91e7-4775-a469-ccdd96e0f0d8"
id"d4676c6457a34be0b48f9264a6b8c32e"
is_byokfalse
latency622
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Reka"
status200
total_cost0.0028171
cache_discount(null)
upstream_inference_cost0
provider_name"Reka"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"He stepped backward [backward]"
dialogueSentences10
tagDensity0.3
leniency0.6
rawRatio0.333
effectiveRatio0.2
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1089
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)
77.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1089
totalAiIsms5
found
0
word"glint"
count1
1
word"footsteps"
count1
2
word"echoing"
count1
3
word"velvet"
count1
4
word"weight"
count1
highlights
0"glint"
1"footsteps"
2"echoing"
3"velvet"
4"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"blood ran cold"
count1
highlights
0"blood went cold"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences101
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences101
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1084
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions57
wordCount998
uniqueNames23
maxNameDensity1.3
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn13
Tomás2
Herrera9
Saint1
Christopher1
Raven3
Nest3
Charing1
Cross1
Road1
Elephant1
Castle1
Camden2
Morris6
Mornington1
Crescent1
Tube1
London2
Veil1
Market1
Three3
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Nest"
7"Morris"
8"Market"
places
0"Soho"
1"Charing"
2"Cross"
3"Road"
4"Elephant"
5"Mornington"
6"Crescent"
7"London"
globalScore0.849
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"quite sound"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1084
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean29.3
std22.85
cv0.78
sampleLengths
053
14
266
38
416
534
664
753
84
944
1048
112
1244
137
147
1522
166
1729
1815
1931
2033
215
22101
236
2446
2530
2651
2735
2850
2932
308
314
3237
3325
343
3553
368
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences101
matches(empty)
46.74% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs174
matches
0"was heading"
1"was already descending"
2"was slipping"
3"was running"
63.49% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences108
ratio0.028
matches
0"He glanced back once, and in the sodium glare of a streetlamp she saw his face—not panicked, not guilty."
1"He pulled something from his pocket—a small white object, bone—and pressed it to a rusted iron door that had no business opening."
2"Below her, the stairwell opened into a cavern of light and noise—a market, sprawling through the bones of an abandoned Tube station."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1004
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.0199203187250996
lyAdverbCount1
lyAdverbRatio0.00099601593625498
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean10.04
std6.89
cv0.686
sampleLengths
012
117
224
34
417
530
619
73
82
93
1016
113
1219
131
1411
158
1618
174
1823
197
204
2110
2215
234
248
257
266
273
284
293
306
3113
3211
336
345
3523
363
3722
382
3916
4010
4113
425
437
447
454
466
4712
486
4913
50.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.37962962962962965
totalSentences108
uniqueOpeners41
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences96
matches
0"Somewhere in that green dark,"
1"Somewhere ahead, Herrera was running."
ratio0.021
95.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences96
matches
0"She'd left the unmarked car"
1"He moved like a man"
2"He cut left through a"
3"She hurdled it."
4"Her ankle screamed."
5"He didn't stop."
6"He glanced back once, and"
7"She'd seen him slip into"
8"He'd decided to run."
9"They burst out of the"
10"She didn't break stride."
11"His flat sat in Elephant"
12"She'd read the old case"
13"He didn't slow."
14"He pulled something from his"
15"His breath came in clouds."
16"He shook his head."
17"He looked down the stairs,"
18"He stepped backward onto the"
19"She stood at the threshold."
ratio0.313
27.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount83
totalSentences96
matches
0"Detective Harlow Quinn hit the"
1"She'd left the unmarked car"
2"He moved like a man"
3"He cut left through a"
4"Quinn caught the glint of"
5"She hurdled it."
6"Her ankle screamed."
7"The words came out ragged,"
8"He didn't stop."
9"He glanced back once, and"
10"The kind of scared that"
11"Quinn had been watching him"
12"Tomás Herrera, former paramedic, struck"
13"The clique's back-alley doctor."
14"She'd seen him slip into"
15"Tonight, she'd decided to bring"
16"He'd decided to run."
17"They burst out of the"
18"A taxi blared its horn,"
19"She didn't break stride."
ratio0.865
52.08% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences96
matches
0"Now she did."
ratio0.01
51.28% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount5
matches
0"She'd left the unmarked car two blocks back, trapped behind a delivery lorry that had materialised out of the downpour like a bad omen."
1"She'd seen him slip into the Raven's Nest at odd hours, seen him emerge with blood on his cuffs that wasn't his own."
2"He pulled something from his pocket—a small white object, bone—and pressed it to a rusted iron door that had no business opening."
3"Herrera was already descending, his footsteps echoing in the green dark."
4"The way he'd looked the last time she saw him, standing in the rain outside the Raven's Nest, telling her he'd found something."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.8813%