Run: 2026-02-19-01KHTX3HE17QJBEBRXJN8DGZYH

Run Details

Duration:
2m 13s
Cost:
$0.006212
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 slicked the London cobblestones into a mirror of fractured neon. Detective Harlow Quinn’s breath burned in her lungs, a hot, ragged cloud in the cold night air. Fifty yards ahead, the olive-skinned man in the dark jacket vaulted over a overflowing bin, his short curly hair plastered to his skull. The Saint Christopher medallion around his neck swung wildly, a brief flash of silver against his soaked shirt. Quinn’s boots hammered the pavement, each step a deliberate act of pursuit. Her bearing, honed by years on the force and a military past, kept her posture straight even as her muscles screamed. She ignored the stitch in her side, the way the rain dripped from her closely cropped salt-and-pepper hair into her eyes. The target was all that mattered. Tomás Herrera. A name that had popped up three times in three different unexplained incidents, a ghost in the system. He darted across Brewer Street, forcing a black cab to swerve, its horn blaring a mournful protest into the downpour. Quinn followed, a gap of three cars between them. The green neon sign of The Raven’s Nest pulsed above a narrow alleyway, its light smearing across the wet bricks. Herrera didn’t hesitate. He plunged into the darkness between the buildings. The alley swallowed him whole. Quinn followed a moment later, her hand instinctively moving to rest on the grip of her sidearm. The world narrowed to this tight, grimy channel. The smell of rain on asphalt was replaced by damp brick, rotting refuse, and something else. Something ancient and earthy, like a freshly opened tomb. Up ahead, the alley terminated at a dead end. Or what should have been a dead end. An old, tiled entrance to a closed Underground station stood there, its roundel faded and cracked. London Transport had sealed these decades ago. But this one was different. A heavy steel door, set into the tiled wall beneath the station sign, was slightly ajar. Herrera was at the door. He fumbled in his jacket, his movements frantic. He pulled out something small and pale. A sliver of yellowed bone, carved with strange symbols. He pressed it into a recess Quinn couldn’t quite see. A low grinding sound, like stone on stone, echoed in the confined space. The door swung inwards, revealing not darkness, but a flickering, sourceless light, the colour of deep amber. The scent that rolled out was overwhelming. Ozone, burnt sugar, spices she couldn’t name, and the coppery tang of blood. Herrera glanced back, his warm brown eyes wide with pure terror. He didn’t look like a criminal. He looked like a man fleeing a monster. Then he was gone, disappearing into the warm, glowing opening. The door slammed shut, the sound a deafening boom that vibrated through the soles of Quinn’s boots. The sudden silence was broken only by the drumming of the rain on the alley walls and her own ragged breathing. She was at the door in three long strides, her gloved hands running over the cold steel. No handle. No lock. No seam she could exploit. It was a solid slab of metal fused to the frame. She pounded a fist against it. The sound was dull, absorbed. “Police! Open up!” Nothing. Not a flicker of movement from the other side. No sound. It was as if the door, and whatever lay behind it, had never existed. Quinn stepped back, her mind racing. Eighteen years on the force, and she’d never seen anything like it. This wasn’t some drug den or speakeasy. The bone token. The light. The smell. It was wrong. It was the same kind of wrong that had clung to the alley where she found DS Morris, his body arranged with an impossible geometry, no signs of a struggle, no explanation the world was willing to accept. A movement in the shadows to her left. Her hand was back on her sidearm, her body coiled. A woman stepped out from a deeper recess in the wall, where she had been perfectly camouflaged. She was tall and impossibly thin, dressed in a long coat the colour of a starless night. Her face was pale, her eyes a flat, disinterested grey. “You’re loud, copper.” Her voice was a low rasp, like stones skittering across pavement. “Who are you? What is this place?” The woman’s lips barely moved. “The Veil Market. And it’s no place for you.” “Tomás Herrera. He came through here.” “Many people come through here. He’s gone now. You should go, too.” Quinn took a step closer. The air around the woman felt cold, dead. “I’m not leaving without him.” “You don’t have a token.” The woman gestured with a chin at the seamless door. “No entry. That’s the rule.” “Then break the rule.” A humourless smile touched the woman’s mouth. “The rules are all that hold this together. Your world, our world. The rules are the walls. You don’t want to see what happens when the walls fall down.” Through the door, Quinn could hear it now. A low, constant hum, a vibration that resonated in her teeth. Beneath it, the murmur of a hundred conversations in languages she’d never heard. The light from within cast the woman’s gaunt features in an ethereal glow. This was it. The thing she’d been chasing since the night Morris died. The reason for the impossible evidence, the vanished suspects, the official silence. It was all here. Behind this door. Protocol screamed at her. Back off. Call it in. Secure the perimeter. But call what in? A magic door in an alley? They’d have her on medical leave before sunrise. Again. Her worn leather watch felt heavy on her wrist. A reminder of time, of duty, of the world she was sworn to protect. A world that felt like a lie right now. “I’m going in,” Quinn said, her voice low and steady. The woman in grey didn’t move, but her posture shifted. A predator preparing to pounce. “You can’t.” Quinn drew her sidearm. The metallic click of the hammer cocking was loud in the alley. “I’m not asking.”
created_at"2026-02-19T12:13:27.879Z" 2/19/2026, 12:13:27 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency310
moderation_latency(null)
generation_time131823
tokens_prompt1140
tokens_completion3694
native_tokens_prompt991
native_tokens_completion3338
native_tokens_completion_images(null)
native_tokens_reasoning2158
native_tokens_cached64
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"
usage0.006211849
router(null)
provider_responses
0
endpoint_id"df7ce709-f02d-469f-9178-d8c4c6b5ad42"
is_byokfalse
latency729
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"BaseTen"
status502
1
endpoint_id"c8607edc-8577-4199-b03d-1213da4743dc"
id"chatcmpl-RXdp8HgyTNHj7JXkDGiz5f1I"
is_byokfalse
latency100
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503207-G3udts435r4bsXJOhuib"
upstream_id"chatcmpl-RXdp8HgyTNHj7JXkDGiz5f1I"
total_cost0.006211849
cache_discount0.0000224
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
90.19% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1019
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"perfectly"
count1
highlights
0"slightly"
1"perfectly"
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)
46.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1019
totalAiIsms11
found
0
word"fractured"
count1
1
word"pulsed"
count1
2
word"echoed"
count1
3
word"vibrated"
count1
4
word"silence"
count2
5
word"flicker"
count1
6
word"racing"
count1
7
word"resonated"
count1
8
word"reminder"
count1
9
word"predator"
count1
highlights
0"fractured"
1"pulsed"
2"echoed"
3"vibrated"
4"silence"
5"flicker"
6"racing"
7"resonated"
8"reminder"
9"predator"
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
narrationSentences96
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences96
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1016
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
90.22% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount920
uniqueNames13
maxNameDensity1.2
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London2
Harlow1
Quinn11
Saint1
Christopher1
Herrera4
Brewer1
Street1
Raven1
Nest1
Underground1
Transport1
Morris2
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Raven"
6"Transport"
7"Morris"
places
0"London"
1"Brewer"
2"Street"
globalScore0.902
windowScore1
2.94% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount4
matches
0"quite see"
1"looked like a man fleeing a monster"
2"It was as if the door, and whatever lay behind it, had never existed"
3"felt like a lie right now"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.984
wordCount1016
matches
0"not darkness, but a flickering, sourceless light, the colour of deep amber"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean33.87
std22.32
cv0.659
sampleLengths
069
180
260
355
461
539
650
735
838
937
1014
1126
1273
1318
1444
1514
167
1714
186
1912
2018
2120
224
2336
2477
2531
2632
2710
2817
2919
90.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences96
matches
0"was replaced"
1"was gone"
2"was broken"
3"was sworn"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs133
matches
0"was willing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences107
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount923
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.02275189599133261
lyAdverbCount10
lyAdverbRatio0.010834236186348862
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean9.5
std6.34
cv0.668
sampleLengths
011
117
223
318
412
521
621
76
82
918
1020
119
1220
133
148
155
1617
178
1816
199
209
218
2216
237
245
2516
265
278
287
299
3010
3113
3217
337
3413
3511
366
378
3810
3917
4021
4117
422
432
445
4511
466
475
483
491
48.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.3644859813084112
totalSentences107
uniqueOpeners39
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Then he was gone, disappearing"
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences87
matches
0"Her bearing, honed by years"
1"She ignored the stitch in"
2"He darted across Brewer Street,"
3"He plunged into the darkness"
4"He fumbled in his jacket,"
5"He pulled out something small"
6"He pressed it into a"
7"He didn’t look like a"
8"He looked like a man"
9"She was at the door"
10"It was a solid slab"
11"She pounded a fist against"
12"It was as if the"
13"It was wrong."
14"It was the same kind"
15"Her hand was back on"
16"She was tall and impossibly"
17"Her face was pale, her"
18"Her voice was a low"
19"It was all here."
ratio0.253
40.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences87
matches
0"Rain slicked the London cobblestones"
1"Detective Harlow Quinn’s breath burned"
2"The Saint Christopher medallion around"
3"Quinn’s boots hammered the pavement,"
4"Her bearing, honed by years"
5"She ignored the stitch in"
6"The target was all that"
7"A name that had popped"
8"He darted across Brewer Street,"
9"Quinn followed, a gap of"
10"The green neon sign of"
11"Herrera didn’t hesitate."
12"He plunged into the darkness"
13"The alley swallowed him whole."
14"Quinn followed a moment later,"
15"The world narrowed to this"
16"The smell of rain on"
17"Something ancient and earthy, like"
18"An old, tiled entrance to"
19"London Transport had sealed these"
ratio0.839
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences87
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount3
matches
0"A name that had popped up three times in three different unexplained incidents, a ghost in the system."
1"He darted across Brewer Street, forcing a black cab to swerve, its horn blaring a mournful protest into the downpour."
2"A low, constant hum, a vibration that resonated in her teeth."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"Quinn said, her voice low and steady"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.071
leniency0.143
rawRatio0
effectiveRatio0
81.1766%