Run: 2026-05-10-01KR911D6TA2MK70AH2170WAHP

Run Details

Duration:
1m 11s
Cost:
$0.001091
Provider:
DeepInfra

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 asphalt of Camden, turning the streets into rivers of oil and neon. Detective Harlow Quinn lunged forward, her boots slamming into deep puddles that sprayed grey sludge across her trousers. Her breath came in jagged plumes of white. A few yards ahead, a man in a drenched trench coat sprinted with a desperate, uneven gait. He leaped over a discarded crate, his silhouette flickering under the buzzing orange glow of a streetlamp. Quinn pivoted around a corner, her shoulder clipping a brick wall. She didn't flinch. Her salt-and-pepper hair plastered against her forehead, and water streamed down the sharp line of her jaw. She glanced at the worn leather watch on her left wrist. Two in the morning. The suspect skidded through a narrow alley, his heels sparking against the wet stone. He glanced back, eyes wide and frantic, before diving toward a rusted iron grate set into the pavement. "Police! Freeze!" The man didn't stop. He ripped open the grate with a strength that defied his lean frame and vanished into the black maw of the sewer system. Quinn reached the opening and gripped the cold iron. She peered down. A concrete ladder descended into a subterranean gloom that smelled of ancient dust and ozone. She slid down the rungs, the metal biting into her palms. At the bottom, the tunnel widened into a corridor of salt-stained brick. The suspect’s footsteps echoed ahead, a rapid staccato that bounced off the damp walls. Quinn kept pace, her hand resting on the grip of her sidearm. The air shifted. The smell of sewage faded, replaced by the cloying scent of incense and scorched copper. The corridor opened into a cavernous void. This wasn't a sewer. Rows of makeshift stalls stretched across an abandoned Tube station. Bunting made of dried skin and iridescent silk hung from the vaulted ceiling. Lanterns cast a bruised purple light over a crowd of figures draped in heavy cloaks. Vendors hawked jars of shimmering liquids and rusted blades that hummed with a low, vibration. The suspect stopped at a heavy iron gate guarded by a creature with skin the color of a bruised plum and eyes like polished obsidian. "I have it!" The man fumbled in his pocket and produced a small, carved piece of bone. The guard took the token, ran a thumb over the carvings, and stepped aside. The suspect vanished through the gate into a deeper thicket of stalls. Quinn stepped out from the shadows of the tunnel. The crowd shifted. Heads turned. The hum of the market died instantly, replaced by a heavy, expectant silence. A vendor with a gold-plated jaw leaned over a counter piled with shriveled roots. "Lost your way, copper?" Quinn ignored him and marched toward the gate. The guard stepped back into her path, his massive chest blocking the entrance. He towered over her, his presence a wall of cold muscle. "Token." Quinn reached for her badge, snapping the leather wallet open. The silver shield glinted under the purple lanterns. "Step aside. I'm making an arrest." The guard looked at the badge, then looked at her. A slow, guttural chuckle vibrated in his throat. He didn't move. "Metal doesn't buy entry here. Bone or blood." Quinn’s jaw tightened. She looked past the guard. Deep in the market, she saw the suspect talking to a figure cloaked in midnight blue. The suspect looked relieved, handing over a leather briefcase in exchange for a small, pulsing vial. This was the link. This was the evidence that tied the clique to the disappearances. She thought of DS Morris. She remembered the way his office had looked the day he vanished—the overturned chair, the smell of sulfur, the silence that had haunted her for three years. The Metropolitan Police had called it a kidnapping. The files had been scrubbed. The guard shifted his weight, his obsidian eyes scanning her for a sign of weakness. "Go back to the surface, Detective. This place eats people who don't belong." Quinn looked at the gate, then back at the tunnel she had descended. The rain was still audible far above, a distant drumming against the city. If she left now, she could call for backup, cordoning off the area and bringing in a tactical team. But the Veil Market moved. By the time the warrants were signed and the perimeter set, the station would be empty. The suspect would be a ghost. She stepped closer to the guard, her voice a low rasp. "What happens if I don't have a token?" The guard’s lips curled, revealing rows of needle-thin teeth. "You pay with something else." Quinn felt the weight of the gun at her hip. She looked at the pulsing vial in the distance. Her heart hammered against her ribs, a rhythmic drumming that matched the rain above. She shifted her stance, her military precision grounding her. "I'm not leaving without him." The guard stepped closer, the smell of old graves emanating from his skin. "Then you're just a meal." Quinn didn't blink. She reached out and grabbed the guard's wrist, twisting it with a sudden, violent jerk. The creature roared, a sound that shook the lanterns. The market erupted into chaos. Cloaked figures shrieked and scrambled away as Quinn drove her elbow into the guard's throat. He staggered back, gasping. Quinn didn't wait. She lunged forward, shoulder-charging the guard and bursting through the gate. She hit the ground rolling, coming up in a crouch. The suspect had seen her. He turned to run, his boots clicking on the obsidian floor. "Stop!" The man scrambled behind a curtain of heavy velvet. Quinn sprinted after him, her boots thudding against the cold stone. As she tore through the curtain, she found herself in a small, circular chamber. The suspect wasn't alone. A woman stood there, her back to Quinn. She wore a sharp, tailored suit that looked out of place in the grime of the underground. "You're persistent, Harlow," the woman said. Quinn froze. The voice was familiar, though she couldn't place it. "Hands where I can see them. Now." The woman turned. Her eyes glowed with a faint, amber light. She smiled, and for a moment, the air in the room thickened, making it hard for Quinn to draw a full breath. "The surface is so boring. Why go back?" The suspect tried to slip past Quinn toward a side exit. Quinn pivoted, catching him by the collar and slamming him against the stone wall. The briefcase clattered to the floor. "Who are you?" The woman stepped forward, her movements fluid and predatory. "A friend of the family. And someone who knows exactly what happened to Morris." Quinn’s grip on the suspect tightened, her knuckles white. The amber glow in the woman's eyes intensified, casting long, flickering shadows across the room. Quinn's gaze flickered between the suspect and the woman, her mind racing. The exit was behind her. The target was in her grasp. But the secret she had chased for three years was standing five feet away.
created_at"2026-05-10T13:25:45.315Z" 5/10/2026, 1:25:45 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency294
moderation_latency(null)
generation_time71139
tokens_prompt1140
tokens_completion2766
native_tokens_prompt1056
native_tokens_completion2511
native_tokens_completion_images(null)
native_tokens_reasoning965
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)
usage0.00109146
router(null)
provider_responses
0
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RkGmZE734SZ5OIk0lJw3EuCl"
is_byokfalse
latency60
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778419545-zQXM2U45b17OUU0AyNKY"
session_id(null)
api_type"completions"
id"gen-1778419545-QF2sHriAt2ZttvSlC0U1"
upstream_id"chatcmpl-RkGmZE734SZ5OIk0lJw3EuCl"
total_cost0.00109146
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.059
leniency0.118
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1176
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)
31.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1176
totalAiIsms16
found
0
word"maw"
count1
1
word"gloom"
count1
2
word"footsteps"
count1
3
word"echoed"
count1
4
word"silk"
count1
5
word"silence"
count2
6
word"vibrated"
count1
7
word"weight"
count2
8
word"scanning"
count1
9
word"rhythmic"
count1
10
word"velvet"
count1
11
word"familiar"
count1
12
word"flickered"
count1
13
word"racing"
count1
highlights
0"maw"
1"gloom"
2"footsteps"
3"echoed"
4"silk"
5"silence"
6"vibrated"
7"weight"
8"scanning"
9"rhythmic"
10"velvet"
11"familiar"
12"flickered"
13"racing"
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
emotionTells1
narrationSentences103
matches
0"looked relieved"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences103
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences119
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
totalWords1175
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1079
uniqueNames9
maxNameDensity1.95
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn21
Tube1
Morris1
Metropolitan1
Police1
Veil1
Market1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Morris"
4"Police"
5"Market"
places(empty)
globalScore0.527
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1175
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences119
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean23.5
std19.37
cv0.824
sampleLengths
075
146
232
32
427
550
644
711
853
925
103
1140
1227
1314
144
1532
161
1718
186
1921
208
2155
2245
2315
2413
2572
2611
278
289
295
3042
315
3213
335
3447
3518
3626
371
3834
3929
406
4111
427
4333
448
4531
463
479
4814
4961
98.45% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences103
matches
0"been scrubbed"
1"were signed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs185
matches
0"was standing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences119
ratio0.008
matches
0"She remembered the way his office had looked the day he vanished—the overturned chair, the smell of sulfur, the silence that had haunted her for three years."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1086
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.011970534069981584
lyAdverbCount1
lyAdverbRatio0.0009208103130755065
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences119
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences119
mean9.87
std5.31
cv0.538
sampleLengths
015
118
28
317
417
511
63
717
811
94
1014
1118
122
134
1423
159
163
1715
1811
1912
2014
2112
223
2315
247
254
2610
2713
2815
2915
3025
313
3214
3314
3412
359
363
372
3813
3914
404
418
4213
4311
441
4510
468
476
4810
498
39.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.29411764705882354
totalSentences119
uniqueOpeners35
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences101
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences101
matches
0"Her breath came in jagged"
1"He leaped over a discarded"
2"She didn't flinch."
3"Her salt-and-pepper hair plastered against"
4"She glanced at the worn"
5"He glanced back, eyes wide"
6"He ripped open the grate"
7"She peered down."
8"She slid down the rungs,"
9"He towered over her, his"
10"He didn't move."
11"She looked past the guard."
12"She thought of DS Morris."
13"She remembered the way his"
14"She stepped closer to the"
15"She looked at the pulsing"
16"Her heart hammered against her"
17"She shifted her stance, her"
18"She reached out and grabbed"
19"He staggered back, gasping."
ratio0.257
14.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences101
matches
0"Detective Harlow Quinn lunged forward,"
1"Her breath came in jagged"
2"He leaped over a discarded"
3"Quinn pivoted around a corner,"
4"She didn't flinch."
5"Her salt-and-pepper hair plastered against"
6"She glanced at the worn"
7"The suspect skidded through a"
8"He glanced back, eyes wide"
9"The man didn't stop."
10"He ripped open the grate"
11"Quinn reached the opening and"
12"She peered down."
13"A concrete ladder descended into"
14"She slid down the rungs,"
15"The suspect’s footsteps echoed ahead,"
16"Quinn kept pace, her hand"
17"The air shifted."
18"The smell of sewage faded,"
19"The corridor opened into a"
ratio0.891
99.01% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences101
matches
0"If she left now, she"
1"By the time the warrants"
ratio0.02
56.65% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount7
matches
0"Detective Harlow Quinn lunged forward, her boots slamming into deep puddles that sprayed grey sludge across her trousers."
1"He leaped over a discarded crate, his silhouette flickering under the buzzing orange glow of a streetlamp."
2"A concrete ladder descended into a subterranean gloom that smelled of ancient dust and ozone."
3"The suspect’s footsteps echoed ahead, a rapid staccato that bounced off the damp walls."
4"Vendors hawked jars of shimmering liquids and rusted blades that hummed with a low, vibration."
5"She remembered the way his office had looked the day he vanished—the overturned chair, the smell of sulfur, the silence that had haunted her for three years."
6"Her heart hammered against her ribs, a rhythmic drumming that matched the rain above."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences17
tagDensity0.059
leniency0.118
rawRatio0
effectiveRatio0
85.7929%