Run: 2026-03-25-01KMJ88VDKH2NDWSB7Z2PEE25A

Run Details

Duration:
32.9s
Cost:
$0.001566
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
Detective Harlow Quinn’s boots slammed against wet pavement as she sprinted after the suspect, her salt-and-pepper hair clinging to her forehead in soaked strands. The rain had started as mist, but now it hissed down in sheets, turning the streets into slick mirrors reflecting fractured neon. She didn’t recognize the man ahead—lean, in a drenched olive-green jacket, a smear of blood blooming on his sleeve—but his hurried gait mirrored the same jittery urgency she’d seen in the other members of the clique that had consumed her case. He’d taken a wrong turn onto Wardour Street, as if he’d forgotten to navigate with anything but instinct. Quinn’s fingers brushed the worn leather of her watch, its cracked face ticking a steady rhythm against the storm. *Keep moving. Stay sharp.* The suspect ducked into an alley without slowing, his silhouette vanishing into shadows. Quinn followed, her military-cut frame tensing as she vaulted over a chain-link fence, her grip on her holstered sidearm firm. The alley reeked of mildew and discarded takeout, but she didn’t pause. A glimpse of a flash—something silver—caught her eye where he’d leaned against the wall to catch his breath. She quickened her pace. Up ahead, the man stumbled, clutching his left arm. A gash there, the blood now darkening his clothes, oozed a strange sheen, almost like oil. *Not normal.* She narrowed her eyes, the storm blurring the red streaks as he lurched forward. He was heading for The Raven’s Nest. Quinn slowed her step as she neared the entrance, watching him slip beneath the green neon sign that flickered like a dying heartbeat. The bar’s door was ajar, and she pressed herself into the shadows, drawing her watch back to her mouth for a quick puff of bourbon—leftover vial in the compartment, a habit from late-night stakeouts. Her focus snapped back to the doorway. Tomás Herrera emerged from the back, Saint Christopher medallion glinting under the wet gleam of his collar. He said something to the man, hand on his shoulder, then disappeared into the dim interior again. Quinn’s partner—Morris—had once worn the same kind of charm. *Before it meant nothing.* The suspect reappeared moments later, Tomás trailing behind. He didn’t look like someone in need of aid, not with the way he prowled the sidewalk as if testing the depth of the water underfoot. Quinn stepped forward, badge catching the glow from the Nest’s window. “Not on the run, Mr. *Herrera*,” she said, her voice dry despite the downpour. His eyes met hers—warm brown, unreadable—and he tilted his head. “Doctor’s orders.” Tomás shrugged, his accent thickening in the rain. “He’s got a bad infection. Needed stitched quickly.” “Your license doesn’t cover back-alley fixes.” Quinn shifted her weight, hand edging toward her belt where her cuffs usually sat. The Nest’s threshold loomed behind them, and the suspect bolted, shoving past her to vanish inside. Tomás didn’t stop him. “You knew it wasn’t just a knife wound,” Quinn said, rain pattering into her collar. Tomás touched the scar on his forearm, that same silver sheen staining his cloth. “Your partner used to wear a watch like yours. Thought it’d protect him.” He nodded toward the door. “If you’re coming, do it before the storm floods the stairs.” She hesitated. The medallion around her neck felt heavier, a relic from her partner’s last day. *Unexplained circumstances. Something they didn’t understand.* Quinn pushed the door open. The bar’s hush was broken by the clink of glasses and low Spanish murmurs. The suspect was already down a narrow corridor, past the bookshelf that doubled as a door. She kicked it open, not bothering to stop the books from scattering. The hidden room was empty save for a torn map on the wall and the metallic tang of blood. He’d gone back into the rain. Quinn tracked him through Soho’s crooked veins, her breath misting in the cold air. The suspect ducked beneath graffiti-smeared scaffolding, wove through a maze of drainage pipes, then stood in a cul-de-sac, staring at a set of rusted stairs spiraling into black. The entrance to the Tube. Her pulse flickered. Unmarked property. No police jurisdiction. But the suspect was hobbling now, clutching his side, and the blood on his arm had pooled into something darker, almost liquid obsidian. *He’s not just hiding. He’s hurt.* Footsteps echoed below. Quinn crouched, catching the faint glow from a station—Camden Town’s abandoned platform long since sealed off, but someone had dug in here. The suspect peered down the flight, then palmed a door marked only by a crescent moon. He pressed a bone-shaped key into the lock. Quinn’s phone screen, cracked on multiple occasions, cast cold blue light on her wristwatch. She counted backward. Three years since the night she’d lost Morris in a fog like this one, chasing shadows that shouldn’t exist. “You don’t want to see this part.” The suspect’s voice was flat, but his fingers trembled. He didn’t look at her, just stepped through the door. The stairs groaned as she followed. Each step plunged deeper into silence, the sounds of the city above muffled to a distant hum. Her flashlight skipped over damp brick—*not official infrastructure*—until the air thickened with smoke and something sweeter, like charred amber. The bone key clicked, locking behind her. A vaulted ceiling of concrete rose before her. The Veil Market sprawled around her, its stalls lit by candle flames and flickering smartphones. A woman in a fox fur coat arranged glass jars of glimmering liquid. A man with a silver tongue sold reflections in a mirror. Quinn’s breath caught at the doorway, her boot heels sinking slightly into mud-colored tile. The cliques met here, traded things Morris never came back from. She gripped her watch tighter, its leather strap slick with sweat. The suspect was weaving through the crowd now, their faces turning toward him like moths to flame. No one acknowledged her. She stepped forward, but a hand shot out from the shadows. Tomás stood behind her, his medallion hanging low. “You won’t find the cure in their hands.” He pointed at the suspect, who was haggling over a heart-shaped vial. “They trade in what they don’t understand. You do.” “Your treatments didn’t work before.” Quinn’s voice was steady, but her mind raced through the dossier—*unauthorized administrations, patient files with impossible injuries.* Tomás didn’t answer. He just watched her, the storm’s echo in his eyes. A cart behind them creaked, its vendor displaying a stack of wallets filled with bone tokens. Quinn felt the weight of hers—hidden in her jacket pocket, stolen from a crime scene last week. The suspect had just paid for the vial with a glint of something that wasn’t money. She stepped closer, her shadow cutting across his. “Turn around,” she said. The man froze, vial in hand. His eyes darted to the exit, then to Tomás. “You don’t know what you’re walking into.” “I know enough.” She reached for the doorframe, fingers brushing the bone token the suspect had used. Warm under her touch. It hissed with the same oil-like substance staining his arm. A hush fell across the Market. Quinn could smell the fear in it now, thick as the rain. The suspect bolted, but the tunnels beyond the market were tight, dark. No way to escape the story Morris hadn’t survived. Her hand slipped into her pocket, closed around the token. The Market’s heart was thrumming beneath the ground, steady and wrong. She followed closely, boots silent on the mud.
created_at"2026-03-25T10:22:31.863Z" 3/25/2026, 10:22:31 AM
model"qwen/qwen3-32b-04-28"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency472
moderation_latency(null)
generation_time32854
tokens_prompt1164
tokens_completion4136
native_tokens_prompt1007
native_tokens_completion3513
native_tokens_completion_images(null)
native_tokens_reasoning1804
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.001566136
router(null)
provider_responses
0
endpoint_id"344ccdcc-6e59-464d-89ab-8e5b92fe2adc"
id"chatcmpl-fe1e4b9e-4294-9bdb-8970-501109515afe"
is_byokfalse
latency472
model_permaslug"qwen/qwen3-32b-04-28"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434151-PvVjtVGVn8MavDQpQDtt"
upstream_id"chatcmpl-fe1e4b9e-4294-9bdb-8970-501109515afe"
total_cost0.001566136
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.714
leniency1
rawRatio0
effectiveRatio0
92.04% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1257
totalAiIsmAdverbs2
found
0
adverb"quickly"
count1
1
adverb"slightly"
count1
highlights
0"quickly"
1"slightly"
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)
16.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1257
totalAiIsms21
found
0
word"fractured"
count1
1
word"navigate"
count1
2
word"quickened"
count1
3
word"lurched"
count1
4
word"flickered"
count2
5
word"glinting"
count1
6
word"charm"
count1
7
word"unreadable"
count1
8
word"weight"
count2
9
word"loomed"
count1
10
word"pulse"
count1
11
word"footsteps"
count1
12
word"echoed"
count1
13
word"trembled"
count1
14
word"silence"
count1
15
word"moths to flame"
count1
16
word"raced"
count1
17
word"echo"
count1
18
word"glint"
count1
highlights
0"fractured"
1"navigate"
2"quickened"
3"lurched"
4"flickered"
5"glinting"
6"charm"
7"unreadable"
8"weight"
9"loomed"
10"pulse"
11"footsteps"
12"echoed"
13"trembled"
14"silence"
15"moths to flame"
16"raced"
17"echo"
18"glint"
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
narrationSentences97
matches(empty)
98.67% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences97
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans8
markdownWords33
totalWords1246
ratio0.026
matches
0"Keep moving. Stay sharp."
1"Not normal."
2"Before it meant nothing."
3"Herrera"
4"Unexplained circumstances. Something they didn’t understand."
5"He’s not just hiding. He’s hurt."
6"not official infrastructure"
7"unauthorized administrations, patient files with impossible injuries."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
80.50% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1151
uniqueNames20
maxNameDensity1.39
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Wardour1
Street1
Raven1
Nest3
Herrera1
Saint1
Christopher1
Morris4
Tomás8
Spanish1
Soho1
Tube1
Footsteps1
Camden1
Town1
Veil1
Market3
Warm1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
8"Tomás"
9"Footsteps"
places
0"Wardour"
1"Street"
2"Soho"
3"Tube"
4"Camden"
5"Town"
6"Market"
globalScore0.805
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount1
matches
0"as if testing the depth of the water underfoot"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1246
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean59.33
std34.06
cv0.574
sampleLengths
0128
1108
2118
369
418
555
643
788
86
984
1085
1175
1272
1351
1429
1535
1661
1722
1831
1960
208
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences97
matches
0"was broken"
35.80% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs203
matches
0"was heading"
1"was hobbling"
2"was weaving"
3"was haggling"
4"was thrumming"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount0
flaggedSentences9
totalSentences101
ratio0.089
matches
0"She didn’t recognize the man ahead—lean, in a drenched olive-green jacket, a smear of blood blooming on his sleeve—but his hurried gait mirrored the same jittery urgency she’d seen in the other members of the clique that had consumed her case."
1"A glimpse of a flash—something silver—caught her eye where he’d leaned against the wall to catch his breath."
2"The bar’s door was ajar, and she pressed herself into the shadows, drawing her watch back to her mouth for a quick puff of bourbon—leftover vial in the compartment, a habit from late-night stakeouts."
3"Quinn’s partner—Morris—had once worn the same kind of charm."
4"His eyes met hers—warm brown, unreadable—and he tilted his head."
5"Quinn crouched, catching the faint glow from a station—Camden Town’s abandoned platform long since sealed off, but someone had dug in here."
6"Her flashlight skipped over damp brick—*not official infrastructure*—until the air thickened with smoke and something sweeter, like charred amber."
7"“Your treatments didn’t work before.” Quinn’s voice was steady, but her mind raced through the dossier—*unauthorized administrations, patient files with impossible injuries.* Tomás didn’t answer."
8"Quinn felt the weight of hers—hidden in her jacket pocket, stolen from a crime scene last week."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1174
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.019591141396933562
lyAdverbCount4
lyAdverbRatio0.0034071550255536627
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean12.34
std7.18
cv0.582
sampleLengths
024
122
241
318
419
52
62
713
820
912
1018
114
129
1316
1416
157
1623
1734
187
1917
2017
219
224
238
2426
2511
2614
2710
2810
298
3020
3116
324
3315
3414
3518
3611
372
3814
392
409
4114
4216
4312
4419
456
4614
4728
485
493
47.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3069306930693069
totalSentences101
uniqueOpeners31
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences90
matches(empty)
ratio0
95.56% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences90
matches
0"She didn’t recognize the man"
1"He’d taken a wrong turn"
2"She quickened her pace."
3"He was heading for The"
4"Her focus snapped back to"
5"He said something to the"
6"He didn’t look like someone"
7"she said, her voice dry"
8"His eyes met hers—warm brown,"
9"He nodded toward the door"
10"She kicked it open, not"
11"He’d gone back into the"
12"Her pulse flickered."
13"*He’s not just hiding."
14"He pressed a bone-shaped key"
15"She counted backward."
16"He didn’t look at her,"
17"Her flashlight skipped over damp"
18"She gripped her watch tighter,"
19"She stepped forward, but a"
ratio0.311
10.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences90
matches
0"Detective Harlow Quinn’s boots slammed"
1"The rain had started as"
2"She didn’t recognize the man"
3"He’d taken a wrong turn"
4"Quinn’s fingers brushed the worn"
5"The suspect ducked into an"
6"Quinn followed, her military-cut frame"
7"The alley reeked of mildew"
8"A glimpse of a flash—something"
9"She quickened her pace."
10"A gash there, the blood"
11"He was heading for The"
12"Quinn slowed her step as"
13"The bar’s door was ajar,"
14"Her focus snapped back to"
15"Tomás Herrera emerged from the"
16"He said something to the"
17"Quinn’s partner—Morris—had once worn the"
18"The suspect reappeared moments later,"
19"He didn’t look like someone"
ratio0.9
55.56% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences90
matches
0"*Before it meant nothing.*"
ratio0.011
88.95% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount4
matches
0"She didn’t recognize the man ahead—lean, in a drenched olive-green jacket, a smear of blood blooming on his sleeve—but his hurried gait mirrored the same jitter…"
1"The suspect ducked into an alley without slowing, his silhouette vanishing into shadows."
2"Quinn slowed her step as she neared the entrance, watching him slip beneath the green neon sign that flickered like a dying heartbeat."
3"The suspect was weaving through the crowd now, their faces turning toward him like moths to flame."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"Tomás shrugged, his accent thickening in the rain"
1"She reached, fingers brushing the bone token the suspect had used"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
78.1911%