Run: 2026-05-10-01KR920R4XYEE3MK0GKY73EBTB

Run Details

Duration:
43.9s
Cost:
$0.000714
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 lashed the Soho pavement, turning the asphalt into a black mirror that shattered under Detective Harlow Quinn's boots. She lunged forward, her breath hitching in a throat raw from the damp chill. Fifty yards ahead, a hooded figure darted between a parked transit van and a row of overflowing bins. Quinn’s salt-and-pepper hair clung to her scalp in jagged spikes. She didn't slow. Her gaze locked on the suspect's erratic gait, the way he lunged left then pivoted right, desperate to lose her in the labyrinth of narrow alleys. She checked the worn leather watch on her left wrist. 11:42 PM. The suspect rounded a corner, his boots splashing through a deep puddle. Quinn surged after him, her movements governed by a military precision that ignored the burning in her calves. She cut through a narrow gap between two brick warehouses, the scent of rotting cabbage and wet soot filling her nostrils. The figure stopped abruptly. He stood before a rusted iron gate that led down into a concrete maw. He didn't look back. With a flick of his wrist, he produced a small, bleached object—a piece of bone—and pressed it against a sensor embedded in the stone. A heavy metal shutter groaned open, revealing a staircase that plummeted into a subterranean void. He vanished inside. Quinn skidded to a halt at the threshold. The shutter began to slide shut. She threw her shoulder against the metal, forcing a gap wide enough for her frame to squeeze through. The iron slammed shut behind her with a thud that vibrated in her teeth. Silence swallowed the noise of the rain. She stood on a landing of cracked tile. The air here smelled of ozone and old copper, a thick, cloying scent that tasted of pennies on her tongue. Dim lanterns hung from rusted pipes, casting amber light over a sprawling cavern. This wasn't a sewer. The space opened into a bustling bazaar. Stalls draped in velvet and burlap lined a wide dirt thoroughfare. Vendors with eyes that caught the light like cats' hawked shimmering vials of iridescent liquid and scrolls of parchment that seemed to pulse with a slow, rhythmic heartbeat. People drifted through the aisles in clothes that belonged to a dozen different centuries, their voices a low hum that sounded less like speech and more like a hive of bees. Quinn's hand went to the grip of her sidearm. Her knuckles whitened. The suspect was weaving through the crowd, his hood still pulled low. He brushed past a merchant selling jars of preserved organs, the glass clinking as he hurried toward a deeper section of the market. A man with a gold-toothed grin stepped into her path. He wore a silk waistcoat that shimmered with oily rainbows. "You're far from the surface, copper." Quinn shoved him aside, her shoulder colliding with his chest. "Out of the way." The man laughed, a sound like grinding gravel. "The Veil Market doesn't take badges as currency. You'll need a token to get back out." Quinn ignored him. She locked onto the suspect's silhouette, now disappearing behind a curtain of heavy black beads. She stepped through the beads, the cold plastic clicking against her neck. The crowd thinned here. The stalls shifted from curiosities to weaponry. Blades made of obsidian and obsidian-glass leaned against stone plinths. A woman with skin the color of slate polished a dagger that bled a slow, silver smoke. The suspect stopped at a stall manned by a man with olive skin and short, curly dark brown hair. He wore a stained medical coat and a Saint Christopher medallion that swayed against his chest. A jagged scar traced a path along his left forearm, disappearing beneath the cuff of his sleeve. "You're late," the man said. His voice held a thick, melodic lilt. The suspect handed over a leather satchel. "The police were on me. A woman. Fast." Tomás Herrera glanced over the suspect's shoulder. His warm brown eyes met Quinn's. He didn't flinch. He didn't even look surprised. He simply shifted his weight, blocking the suspect's exit path with a casual, practiced ease. "Fast is a relative term in a place where time bends," Tomás remarked. Quinn stepped forward, her boots clicking on the stone. She leveled her gaze at the medic. "Hands where I can see them. Both of you." Tomás didn't move his hands. He leaned back against the wooden counter of his stall, which was littered with surgical tools and jars of strange, glowing salves. "Detective Quinn, I presume. You have that look about you. The look of someone who searches for answers in places that only offer more questions." Quinn's jaw tightened. "How do you know who I am?" "Word travels fast when a Metropolitan detective decides to dive into a hole in Camden," Tomás replied. He gestured to the satchel. "This man is a patient. His privacy is paramount." "He's a suspect in a criminal investigation. Move." The suspect tried to bolt, diving toward a side alley. Quinn reacted instantly, her hand snapping out to grab the collar of his coat. She slammed him against a stone pillar, the impact knocking the wind from his lungs. As she reached for her handcuffs, the atmosphere in the market shifted. The low hum of the crowd died. The vendors stopped their haggling. The woman with the silver dagger stopped polishing. A dozen pairs of eyes locked onto Quinn. They weren't curious eyes. They were predatory. The amber lanterns flickered and dimmed. Shadows stretched across the dirt floor, elongating and detaching themselves from the walls. The darkness began to pool around Quinn's boots like spilled ink. Tomás sighed, his expression shifting from amusement to a weary sort of pity. "I told you, Detective. This isn't the surface. Out here, your badge is just a piece of tin." Quinn felt the coldness climb up her ankles. She tightened her grip on the suspect, but her eyes scanned the perimeter. The exits were gone. The curtain of beads had vanished, replaced by a solid wall of shifting obsidian. "Let him go, Harlow," Tomás said, his voice dropping an octave. "Before the market decides you're the commodity it wants to sell today." Quinn looked at the medic, then at the encroaching shadows. She thought of DS Morris. She thought of the empty space in the squad car and the files that never made sense. The smell of ozone intensified, sparking against her skin. She didn't let go. She pressed the barrel of her weapon into the suspect's ribs. "I'm not leaving without him." Tomás shook his head and reached under the counter, pulling out a small vial of shimmering blue liquid. He uncorked it, and the scent of wild mint and sulfur exploded into the air. "Stubbornness is a trait I admire," Tomás murmured. "But here, it's a death sentence." The shadows lunged.
created_at"2026-05-10T13:42:52.325Z" 5/10/2026, 1:42:52 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency151
moderation_latency(null)
generation_time43265
tokens_prompt1140
tokens_completion1758
native_tokens_prompt1058
native_tokens_completion1518
native_tokens_completion_images(null)
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"stop"
service_tier(null)
usage0.00071438
router(null)
provider_responses
0
endpoint_id"69279254-6a96-4e9d-abc6-ea76e6bf8e97"
is_byokfalse
latency524
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Novita"
status429
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endpoint_id"9d4644e9-a5e5-41f4-b810-d75f484d2c24"
is_byokfalse
latency20
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Parasail"
status429
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endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-Rswbx0ybsTBn8b9drXZSuwNm"
is_byokfalse
latency47
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-1778420572-f9dp45jRSMm5lH3x0XSj"
session_id(null)
api_type"completions"
id"gen-1778420572-JX4IFwv8THxZDyv9uqQi"
upstream_id"chatcmpl-Rswbx0ybsTBn8b9drXZSuwNm"
total_cost0.00071438
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.278
leniency0.556
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1147
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)
30.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1147
totalAiIsms16
found
0
word"shattered"
count1
1
word"chill"
count1
2
word"maw"
count1
3
word"vibrated"
count1
4
word"silence"
count1
5
word"velvet"
count1
6
word"pulse"
count1
7
word"rhythmic"
count1
8
word"silk"
count1
9
word"shimmered"
count1
10
word"traced"
count1
11
word"lilt"
count1
12
word"weight"
count1
13
word"practiced ease"
count1
14
word"flickered"
count1
15
word"scanned"
count1
highlights
0"shattered"
1"chill"
2"maw"
3"vibrated"
4"silence"
5"velvet"
6"pulse"
7"rhythmic"
8"silk"
9"shimmered"
10"traced"
11"lilt"
12"weight"
13"practiced ease"
14"flickered"
15"scanned"
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
narrationSentences93
matches(empty)
81.41% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences93
filterMatches
0"watch"
hedgeMatches
0"began to"
1"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1145
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount954
uniqueNames10
maxNameDensity1.57
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Detective1
Harlow1
Quinn15
People1
Saint1
Christopher1
Herrera1
Morris1
Tomás8
persons
0"Harlow"
1"Quinn"
2"People"
3"Saint"
4"Christopher"
5"Herrera"
6"Morris"
7"Tomás"
places
0"Soho"
globalScore0.714
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1145
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean24.89
std17.77
cv0.714
sampleLengths
051
151
251
364
446
57
641
74
877
912
1035
1120
126
1310
144
158
1616
1730
1838
1952
2012
2115
2236
2313
2416
259
2627
2725
283
297
3031
318
3239
3332
3415
3530
3613
3718
3839
3923
4041
4115
425
4333
4414
453
97.72% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences93
matches
0"was littered"
1"were gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs168
matches
0"was weaving"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences106
ratio0.009
matches
0"With a flick of his wrist, he produced a small, bleached object—a piece of bone—and pressed it against a sensor embedded in the stone."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount480
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.01875
lyAdverbCount2
lyAdverbRatio0.004166666666666667
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean10.8
std6.18
cv0.572
sampleLengths
019
114
218
310
43
526
610
72
812
918
1021
114
1214
134
1424
1515
163
178
186
1918
2014
217
228
2320
2413
254
267
2711
2828
2931
309
313
3212
3323
3410
3510
366
3710
384
398
4016
413
4215
4312
444
457
4610
4717
4819
4916
41.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.32075471698113206
totalSentences106
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences89
matches(empty)
ratio0
71.69% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences89
matches
0"She lunged forward, her breath"
1"She didn't slow."
2"Her gaze locked on the"
3"She checked the worn leather"
4"She cut through a narrow"
5"He stood before a rusted"
6"He didn't look back."
7"He vanished inside."
8"She threw her shoulder against"
9"She stood on a landing"
10"Her knuckles whitened."
11"He brushed past a merchant"
12"He wore a silk waistcoat"
13"She locked onto the suspect's"
14"She stepped through the beads,"
15"He wore a stained medical"
16"His voice held a thick,"
17"His warm brown eyes met"
18"He didn't flinch."
19"He didn't even look surprised."
ratio0.371
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences89
matches
0"Rain lashed the Soho pavement,"
1"She lunged forward, her breath"
2"Quinn’s salt-and-pepper hair clung to"
3"She didn't slow."
4"Her gaze locked on the"
5"She checked the worn leather"
6"The suspect rounded a corner,"
7"Quinn surged after him, her"
8"She cut through a narrow"
9"The figure stopped abruptly."
10"He stood before a rusted"
11"He didn't look back."
12"A heavy metal shutter groaned"
13"He vanished inside."
14"Quinn skidded to a halt"
15"The shutter began to slide"
16"She threw her shoulder against"
17"The iron slammed shut behind"
18"Silence swallowed the noise of"
19"She stood on a landing"
ratio0.955
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
34.16% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount7
matches
0"Rain lashed the Soho pavement, turning the asphalt into a black mirror that shattered under Detective Harlow Quinn's boots."
1"Quinn surged after him, her movements governed by a military precision that ignored the burning in her calves."
2"A heavy metal shutter groaned open, revealing a staircase that plummeted into a subterranean void."
3"The air here smelled of ozone and old copper, a thick, cloying scent that tasted of pennies on her tongue."
4"People drifted through the aisles in clothes that belonged to a dozen different centuries, their voices a low hum that sounded less like speech and more like a …"
5"He wore a stained medical coat and a Saint Christopher medallion that swayed against his chest."
6"He leaned back against the wooden counter of his stall, which was littered with surgical tools and jars of strange, glowing salves."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"Tomás said, his voice dropping an octave"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Tomás murmured (murmur)"
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0.25
effectiveRatio0.111
78.0845%