Run: 2026-02-19-01KHTX51QP718H51TB7Z43C44A

Run Details

Duration:
2m 33s
Cost:
$0.001609
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 against Detective Harlow Quinn’s face, a cold, stinging assault that blurred her vision and seeped into the collar of her coat. Her breath came in ragged clouds, each one snatched away by the wind whipping through the narrow Soho alley. Twenty yards ahead, a figure in a dark hoodie vaulted over a stack of overflowing bins with a clatter that was almost drowned by the downpour. “Met Police! Stop!” Her shout was a raw, swallowed thing, lost in the storm. He didn’t even glance back. He just kept running, a shadow growing fainter with every passing second. Her left wrist ached, a dull throb beneath the worn leather of her watch, a souvenir from a chase that had ended very differently three years ago. She pushed the memory of Morris’s face away, locking it down with military precision. There was only the now. Only the runner. Her boots skidded on the wet cobbles as she rounded a corner, her sharp jaw set. He was heading east, toward the busier thoroughfares, but then he ducked suddenly into a service lane she knew dead-ended at a brick wall. A mistake. She put on a burst of speed, her hand going to the radio on her shoulder. The transmission died in a crackle of static. The figure ahead didn’t slow. Instead, he dropped to his knees beside a heavy iron grate set into the lane’s pavement. With a grunt of effort, he hauled it open, the screech of metal on metal a brief, violent sound against the rain’s drone. He slipped into the blackness beneath and let the grate fall shut with a final, definitive clang. Quinn reached it a moment later, her lungs burning. She braced her hands on her knees, the rain plastering her salt-and-pepper hair to her scalp. The grate was old, rusted around the edges. A faded, flaking symbol was painted near the hinge—a stylized eye she didn’t recognize. This wasn’t on any city maintenance map she’d ever seen. She keyed her radio again. “Control, this is Quinn. Pursuit of suspect last seen entering a subterranean access point off of Berwick Street. Requesting backup and a schematic.” The response was a hiss of empty air. Nothing. Not even the usual background chatter of the city’s night. It was as if the rain had washed the very signals away. Her options crystallized, cold and hard. Wait. Secure the perimeter. Call it in until comms were restored. Procedure. It was what she’d written in her own manuals. It was what Morris would have insisted on. But Morris wasn’t here. And the man she’d been chasing for six blocks hadn’t looked like a common thief. He’d moved with a strange, fluid grace, and the way he’d known about this entrance… it felt planned. It felt like the kind of unexplained circumstance that had a habit of swallowing good detectives whole. With a curse muttered into the collar of her coat, she holstered her radio. She got her fingers into the gap between the grate and the cobbles, the cold iron biting into her skin. Muscles straining in her back and shoulders, she lifted. It was heavier than it looked, swinging up with a groan. The darkness below yawned, smelling of damp concrete and something else, something metallic and oddly sweet. A set of narrow, slick iron rungs descended into the gloom. She drew her sidearm, the weight of the Glock a familiar comfort in her hand. She went down backwards, keeping her weapon aimed into the darkness below, her boots feeling for each rung. The sound of the rain faded above her, replaced by the drip of water and the echo of her own movements. The ladder ended in a shallow channel of runoff water. She stood ankle-deep in it, sweeping her gun in a slow arc. A single, flickering fluorescent tube buzzed overhead, casting a sickly light on a curved brick tunnel. Graffiti she didn’t understand—arcane symbols, looping scripts—covered the walls. The air hummed with a low frequency that vibrated in her teeth. A scuff of a footstep echoed from ahead. She moved forward, her stance low, hugging the wall. The tunnel opened abruptly into a vast, cavernous space. Her breath caught. It was an abandoned Tube station, but not like any she’d ever seen. The old Camden Town platform was alive with clandestine commerce. Makeshift stalls constructed from old pallets and moth-eaten drapes lined the curved walls. The air was thick with the smell of strange incense, ozone, and cooking meat of an unidentifiable origin. A low murmur of conversation in a dozen languages filled the air, punctuated by the occasional sharp bark of laughter or the clink of glass. People—or things that looked almost like people—moved through the shadows. A woman with eyes that glowed like embers haggled over a jar of swirling black liquid. A tall, gaunt figure wrapped in a heavy cloak held up a necklace of what looked like sharpened finger bones to the light. Everywhere she looked, she saw transactions that had nothing to do with any law she was sworn to uphold. This was the Veil Market. A whisper, a myth she’d heard muttered by snitches too scared to say much else. She’d never believed it was real. And her suspect was gone, swallowed by the crowd. She holstered her weapon, the movement feeling suddenly conspicuous and foolish. She was a pebble dropped into a dark, churning ocean. Every instinct screamed at her to retreat, to go back up the ladder and bring down a full tactical team on this nightmare. But they’d find nothing. She knew it with a cold certainty. The grate would be sealed. The tunnel would be a dead end. The market would have moved on, leaving behind only dust and echoes. Just like whatever had taken Morris had left behind no evidence, only questions that festered. She had to see. She had to know. Pulling her coat tighter around her, she stepped off the platform and into the flow of the crowd. The conversations around her dipped as she passed. Eyes, too many eyes, tracked her progress. She was an open wound in this place, her normality a glaring beacon. She kept moving, her own reflection a pale, startled ghost in the glass of a case filled with wicked-looking surgical tools. A stall selling old books drew her eye. The vendor, an elderly man with skin like crumpled parchment and fingers that ended in sharp, black talons, looked up from his ledger. “Looking for something specific, dearie?” His voice was the sound of dry leaves scraping together. “Just browsing.” Her own voice sounded too loud, too clean. “A rare thing, to see one of your kind down here without a token.” His milky eyes dropped pointedly to her empty hands. “Or a guide.” He knew what she was. Everyone did. She was out of her depth, and the water was closing over her head. Her hand went to her wrist, to the familiar feel of the worn leather strap. She thought of the scar it hid, a reminder of a price already paid. She was about to turn away when a flash of movement caught her eye at a stall deeper in the market. A man was leaning over the counter, talking urgently with the vendor. He pushed back his hood to run a hand through his short, curly dark hair, and the flickering light caught the Saint Christopher medallion at his throat. His left forearm, resting on the counter, bore a long, pale scar. Tomás Herrera. The unlicensed medic. The man who’d lost his credentials for helping things that shouldn’t exist. Their eyes met across the crowded market. His warm brown eyes widened in pure, unfeigned shock. He looked from her to the vendor, then back to her, a silent calculation happening in a split second. He shook his head once, a sharp, almost imperceptible motion. A warning. Then he turned and melted into the throng, heading for a recess in the tunnel wall obscured by a hanging tapestry. The choice was back, sharper now. Follow the known quantity, the disgraced medic who might have answers. Or stay here, exposed, in a den of monsters. The ladder to the rain-soaked world above felt a million miles away.
created_at"2026-02-19T12:14:17.34Z" 2/19/2026, 12:14:17 PM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency912
moderation_latency(null)
generation_time152977
tokens_prompt1157
tokens_completion2050
native_tokens_prompt1003
native_tokens_completion1771
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached5
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"
usage0.00160932
router(null)
provider_responses
0
endpoint_id"012f7d1f-23d4-4d03-9aa3-432d8ad82757"
id"cmpl-a5b9707f78a44141bcbadd306d307e9e"
is_byokfalse
latency76
model_permaslug"deepseek/deepseek-chat-v3.1"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503257-fOCKcmqNUNvvJDuR3xc9"
upstream_id"cmpl-a5b9707f78a44141bcbadd306d307e9e"
total_cost0.00160932
cache_discount3.99e-7
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount2
adverbTags
0"own voice sounded too [too]"
1"milky eyes dropped pointedly [pointedly]"
dialogueSentences6
tagDensity0.667
leniency1
rawRatio0.5
effectiveRatio0.5
85.64% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1393
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"suddenly"
count2
highlights
0"very"
1"suddenly"
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)
38.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1393
totalAiIsms17
found
0
word"throb"
count1
1
word"crystallized"
count1
2
word"gloom"
count1
3
word"weight"
count1
4
word"familiar"
count2
5
word"echo"
count1
6
word"vibrated"
count1
7
word"echoed"
count1
8
word"clandestine"
count1
9
word"constructed"
count1
10
word"whisper"
count1
11
word"churning"
count1
12
word"echoes"
count1
13
word"beacon"
count1
14
word"reminder"
count1
15
word"tapestry"
count1
highlights
0"throb"
1"crystallized"
2"gloom"
3"weight"
4"familiar"
5"echo"
6"vibrated"
7"echoed"
8"clandestine"
9"constructed"
10"whisper"
11"churning"
12"echoes"
13"beacon"
14"reminder"
15"tapestry"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes widened"
1"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences115
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences115
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences117
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1381
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount1331
uniqueNames14
maxNameDensity0.3
worstName"Morris"
maxWindowNameDensity1
worstWindowName"Morris"
discoveredNames
Detective1
Harlow1
Quinn2
Soho1
Morris4
Glock1
Tube1
Camden1
Town1
Veil1
Market1
Saint1
Christopher1
Herrera1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Tube"
4"Saint"
5"Christopher"
6"Herrera"
places
0"Soho"
1"Camden"
2"Town"
globalScore1
windowScore1
41.30% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount4
matches
0"It was as if the rain had washed the very signals away"
1"looked like a common thief"
2"felt like the kind of unexplained circu"
3"looked like sharpened finger bones to the"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1381
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences117
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean41.85
std21.26
cv0.508
sampleLengths
068
114
266
358
469
557
628
731
835
954
1070
1111
1254
1359
1429
1579
1668
1726
189
1944
2050
218
2246
2352
2415
2510
2626
2750
2872
2917
3047
3121
3238
99.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences115
matches
0"was sworn"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs220
matches
0"was heading"
69.60% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences117
ratio0.026
matches
0"A faded, flaking symbol was painted near the hinge—a stylized eye she didn’t recognize."
1"Graffiti she didn’t understand—arcane symbols, looping scripts—covered the walls."
2"People—or things that looked almost like people—moved through the shadows."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1343
adjectiveStacks1
stackExamples
0"short, curly dark hair,"
adverbCount45
adverbRatio0.03350707371556218
lyAdverbCount14
lyAdverbRatio0.010424422933730455
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences117
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences117
mean11.8
std6.54
cv0.554
sampleLengths
023
119
226
314
45
512
627
714
85
93
1016
1124
122
1316
148
155
1616
1723
1817
199
2016
218
2214
2310
245
2523
268
271
2810
2912
306
311
323
337
341
359
368
374
3815
3915
403
4117
4214
4320
449
4511
4616
4711
4815
4918
45.58% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.3504273504273504
totalSentences117
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences108
matches
0"Only the runner."
1"Instead, he dropped to his"
2"Everywhere she looked, she saw"
3"Just like whatever had taken"
4"Then he turned and melted"
ratio0.046
38.52% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount49
totalSentences108
matches
0"Her breath came in ragged"
1"Her shout was a raw,"
2"He didn’t even glance back."
3"He just kept running, a"
4"Her left wrist ached, a"
5"She pushed the memory of"
6"Her boots skidded on the"
7"He was heading east, toward"
8"She put on a burst"
9"He slipped into the blackness"
10"She braced her hands on"
11"She keyed her radio again."
12"It was as if the"
13"Her options crystallized, cold and"
14"It was what she’d written"
15"It was what Morris would"
16"He’d moved with a strange,"
17"it felt planned."
18"It felt like the kind"
19"She got her fingers into"
ratio0.454
57.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount87
totalSentences108
matches
0"Rain lashed against Detective Harlow"
1"Her breath came in ragged"
2"Her shout was a raw,"
3"He didn’t even glance back."
4"He just kept running, a"
5"Her left wrist ached, a"
6"She pushed the memory of"
7"Her boots skidded on the"
8"He was heading east, toward"
9"She put on a burst"
10"The transmission died in a"
11"The figure ahead didn’t slow."
12"He slipped into the blackness"
13"Quinn reached it a moment"
14"She braced her hands on"
15"The grate was old, rusted"
16"A faded, flaking symbol was"
17"This wasn’t on any city"
18"She keyed her radio again."
19"The response was a hiss"
ratio0.806
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences108
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences65
technicalSentenceCount5
matches
0"Rain lashed against Detective Harlow Quinn’s face, a cold, stinging assault that blurred her vision and seeped into the collar of her coat."
1"Twenty yards ahead, a figure in a dark hoodie vaulted over a stack of overflowing bins with a clatter that was almost drowned by the downpour."
2"Her left wrist ached, a dull throb beneath the worn leather of her watch, a souvenir from a chase that had ended very differently three years ago."
3"It felt like the kind of unexplained circumstance that had a habit of swallowing good detectives whole."
4"The vendor, an elderly man with skin like crumpled parchment and fingers that ended in sharp, black talons, looked up from his ledger."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Her shout (shout)"
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio1
effectiveRatio0.333
77.4863%